struktur kurikulum bidang keahlian telematika …pasca.its.ac.id/dataq/file_content/file/s2...

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STRUKTUR KURIKULUM BIDANG KEAHLIAN TELEMATIKA 2009-2014

No. Kode MK Code

Nama Mata Kuliah (MK) Course Title

sks Credits

SEMESTER I 1 TE.092600

Proses Acak pada Telematika Random Process in Telematics

3

2 TE.092601

Algoritma dan Teknik Komputasi Algorithm and Computational Engineering

3

3 TE.092602

Matematika Diskrit dan Teori Graf Discrete Mathematics and Graph Theory

2

4 TE.092092

Pengenalan Bidang Riset Introduction to Research Fields

2

Jumlah sks/Total of credits 10 SEMESTER II

1 TE.092093

Penulisan Ilmiah Scientific Writing

2

2 TE.092603

Analisa dan Unjuk Kerja Sistem Analysis and System Performance

2

3 TE.092604

Sistem Komunikasi Digital Digital Communication System

2

4 TE.092630

Sistem Komputer GRID GRID Computer System

2

Jumlah sks/Total of credits 8 SEMESTER III

1 TE.092627

Komputasi Bergerak Mobile Computing

2

2 TE.092628

Jaringan Komputer Computer Network

2

3 Mata Kuliah Pilihan Elective Course

6

Jumlah sks/Total of credits 10 SEMESTER IV

1 TE.092099

Tesis Thesis

6

2 Mata Kuliah Pilihan Elective Course

2

Jumlah sks/Total of credits 8

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Mata Kuliah Pilihan Additional optional courses

No. Kode MK Code


sks Credits

1 TE.092636

Sistem Biometrika Biometric System

2

2 TE.092637

Manajemen jaringan Network Management

2

3 TE.092621

Jaringan Nirkabel Ad-Hoc Wireless Ad-Hoc Network

2

4 TE.092622

Multimedia dalam Jaringan Networked Multimedia

2

5 TE.092623

Keamanan Sistem Informasi dan Jaringan Information System and Network Security

2

6 TE.092624

Sistem Real-Time dan Embedded Real-Time and Embedded System

2

7 TE.092625

Analisa dan Unjuk Kerja Jaringan Komunikasi Analysis and Communication Network Performance

2

8 TE.092626

Sistem Telemedika Telemedicine System

2

9 TE.092631

Sistem Manajemen Basis Data Multimedia Multimedia Data Base Management System

2

10 TE.092632

Kecerdasan Bisnis Business Intelligent

2

11 TE.092633

Pengolahan Citra Digital Digital Image Processing

2

12 TE.092634

Kecerdasan Buatan Artificial Intelligent

2

13 TE.092635

Komputasi Fault-tolerant Fault-tolerant Computation

2

14 TE.092642

Topik Khusus Telematika Ad-hoc Topic on Telematics

2

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SILABUS KURIKULUM/COURSE SYLLABUS

MATA KULIAH/ COURSE TITLE

TE – 092600: Proses Acak pada Telematika TE – 092600: Random Process in Telematics Sks /Credits: 3 Semester: I

TUJUAN PEMBELAJARAN/ LEARNING OBJECTIVES

Mahasiswa mampu memahami konsep proses acak dan menerapkannya dalam analisis permasalahan telematika. Students able to understand concepts of random process, and apply the concepts for analyzing Telematics problems.

KOMPETENSI/ COMPETENCY

� Mahasiswa mampu menjelaskan konsep variabel acak dan proses acak.

� Mahasiswa mampu menerapkan konsep proses acak dalam analisis permasalahan telematika.

� Students able to describe the concept of random variable and random process.

� Students able to apply the concepts for analyzing Telematics problems.

POKOK BAHASAN/ SUBJECTS

� Konsep probabilitas � Konsep dan karakterisasi variabel acak � Fungsi variabel acak � Konsep dan karakterisasi proses acak � Transformasi proses acak � Konsep proses Markov � Probability concept � Concept and characterization of random variable � Random variable function � Random process transformation � Concept of markov process

PUSTAKA UTAMA/ MAIN REFERENCES

� Papoulis and ...., Probability and Random Processes � Peyton Z. Peebles, Probability, Random Variables, and

Random Signal Principles, 4th Edition, McGraw-Hill, 2000.

� Alberto Leon-Garcia, Probability and Random Processes for Electrical Engineering, Addison-Wesley Pub. Company, Englewood Cliffs, New Jersey 1989.

PUSTAKA PENUNJANG/OPTIONAL

� Roy D. Yates and David J. Goodman, Probability and Stochastic Processes: a friendly introduction for electrical and computer engineers, 2nd Edition, John

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REFERENCES Wiley & Sons, New York, 2005.

PRASYARAT/PREREQUISITE -

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TE – 092601: Algoritma dan Teknik Komputasi TE – 092601: Algorithm and Computational Engineering Sks /Credits: 3 Semester: I


Mahasiswa mengetahui dan mampu menjelaskan pengembangangan dunia algoritma dan teknik komputasi beserta konsep aplikasinya. Students understand and have the ability to explain the development of algorithms and computational methods.


� Mahasiswa mampu menjelaskan teknik-teknik komputasi dalam bentuk algoritma.

� Mahasiswa mampu melakukan simulasi konsep tersebut pada aplikasi yang sebenarnya.

� Students can explain computational methods in the form of algorithms.

� Students can simulate the concepts on real applications.


� Abstrack Structure Data � Rekursif � Divide and conquer algorithm � Greedy Algorithm � Dynamic Programming � Searching � Abstract data structure. � Recursive algorithms. � Divide and conquer algorithm. � Greedy algorithm. � Dynamic programming. � Searching.


� Sara Baase, Allen Van Gelder, Computer algorithm: Introduction to Design and Analysis, Addison Wesley, 2000.

PUSTAKA PENUNJANG/OPTIONAL REFERENCES

� Thomas H.Corm, Charles E. Leisers, Ronald L. Rive, Algorithm, MIT, 1990.

� Ellis Horowitz, Sartaj Sahni, Sanguthevar Rajasekaran, Computer Algorithms C++, Computer Science Press, 1997.

PRASYARAT/PREREQUISITE Pemrograman computer. Computer programming.

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TE – 092602: Matematika Diskrit dan Teori Graf TE – 092602: Discrete Mathematics and Graph Theory Sks /Credits: 2 Semester: I


Mahasiswa memiliki pengetahuan mengenai struktur data dan berbagai macam algoritma serta mampu menggunakannya untuk berbagai permasalahan klasifikasi dan optimasi. Students have the knowledge about data structures and algorithms, and also have the ability to use them in many classification and optimization problems.


� Mahasiswa mengetahui konsep dasar matematika diskrit dan teori graph.

� Mahasiswa mampu menyelesaikan persoalan-persoalan optimasi dalam graph.

� Students understand basic concepts in discrete mathematics and graph theory.

� Students can solve classification and optimization problems in graph.


� Logika, himpunan dan fungsi. � Algoritma rekursi dan kompleksitas komputasi. � Relasi. � Tree. � Graph. � Logics, sets and functions. � Recursive algorithms and computational complexity. � Relations. � Tree. � Graph.


� Rosen, Discrete Mathematics, Prentice Hall Inc, 1999. � Cormen T., Leiserson C., Rivest R., Stein C., Introduction

to Algorithms, 2nd Edition, Mc Graw Hill international Edition, 2004.


Beberapa paper dari jurnal IEEE. Selected papers from IEEE transactions.

PRASYARAT/PREREQUISITE Pemrograman Komputer. Computer Programming.

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TE - 092092: Pengenalan Bidang Riset TE - 092092: Introduction to Research Fields Sks /Credits: 2 Semester: I


� Mahasiswa memahami berbagai cluster riset dalam bidang teknik sistem tenaga, telekomunikasi multimedia, teknik elektronika, jaringan cerdas multimedia, dan telematika; dan dapat memilih cluster riset yang akan ditekuni dengan tetap memperhatikan cluster-cluster riset yang berhubungan.

� Mahasiswa mampu menerapkan sikap ilmiah sesuai dengn kebidangan masing-masing.

� To have an understanding of many research fields in power system engineering, multimedia communication, electronic engineering, intelligent multimedia network, and telematics; and to have a skill to select own research cluster by considering all supporting clusters.

� To have a capability to apply scientific mindset and attitude in the own research filed.


� Mahasiswa memahami berbagai cluster riset bidang teknik sistem tenaga, telekomunikasi multimedia, teknik elektronika, jaringan cerdas multimedia, dan telematika.

� Mahasiswa mampu memilih pendekatan ilmiah yang tepat untuk menyelesaikan permasalahan melalui kegiatan riset untuk peningkatan kualitas hidup manusia dan lingkungan.

� Mampu melaksanakan dan memelihara sikap dan kegiatan ilmiah dalam kehidupan profesi.

� To have an understanding many research clusters in the fields of power system engineering, multimedia communication, electronic engineering, intelligent multimedia network, and telematics.

� To have a capability to choose an appropriate scientific approach to solve a certain engineering problem through activities for improvement of human life quality and environment.

� To have a skill of actualizing and to keep scientific attitude and scientific activities in professional tasks.

POKOK BAHASAN/ � Pembekalan bidang-bidang riset � Seminar ilmiah

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SUBJECTS � Review jurnal ilmiah � Telaah kasus � Penyusunan laporan. � Provisioning of research fields � Journal article review � Case studies and report.

PUSTAKA UTAMA/MAIN REFERENCES

� Artikel journal terpilih. � Selected scientific journals in power system engineering,

multimedia communication, electronic engineering, intelligent multimedia network, and telematics.


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TE – 092093 : Penulisan Ilmiah TE – 092093 : Scientific Writing Sks /Credits: 2 Semester: II


Memberikan persiapan bagi mahasiswa sebelum memulai thesis, dengan memahami identifikasi dan perumusan masalah yang akan menjadi topik thesis, memahami metodologi penelitian yang diperlukan, serta memahami teknik penulisan karya tulis ilmiah yang berupa proposal thesis, buku thesis, dan makalah ilmiah. Giving preparation for the students before getting thesis by understanding problem identification and formulation related to the thesis topic.


�� Memahami metodologi riset. �� Memahami cara menulis ilmiah untuk proposal thesis,

thesis dan makalah ilmiah. � Understanding research methodology. � Understanding technical writing for the proposal thesis,

thesis and scientific papers.


�� Memahami metodologi riset: Identifikasi masalah, studi literature, data plant, pemodelan system, diagram system, algoritma solusi, pengembangan metoda, simulasi dan analisis, justifikasi hasil.

�� Memahami format penulisan ilmiah: judul, pengarang, afiliasi, lembar pengesahan, abstrak, daftar isi, pendahuluan, penukilan, penjabaran konsep, metodologi, tabel, gambar, grafik, jadwal, analisis hasil simulasi, kesimpulan, daftar pustaka, riwayat hidup dan ucapan terima kasih.

� Understanding research methodology: Problem identification, Literature study, plant data, systems modeling, system diagram, solution algorithm, method development, simulation and analysis, result justification.

� Understanding technical writing format: Title, author, affiliation, authentication sheet, abstract, content, introduction to problem, citation, concept, methodology, data table and graphics, figure, schedule, simulation result and analysis, conclusion, references, biography and acknowledgement.

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� ITS, Buku Pedoman Akademik, ITS, 2009. �� ITS, Metodologi Penelitian, Puslit ITS, 2008. � Imam Robandi, Becoming The Winner: Riset, Menulis

Ilmiah, Publikasi Ilmiah, dan Presentasi, Penerbit ANDI, 2008.


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PRASYARAT/PREREQUISITE �� Pengenalan Bidang Riset

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TE – 092604: Sistem Komunikasi Digital TE – 092604: Digital Communication System Sks /Credits: 2 Semester: II


Mahasiswa memahami konsep, elemen, dan kinerja sistem komunikasi digital pada berbagai jenis kanal. Students comprehend the concept and elements of digital communication systems and are capable of analyzing the performance of digital communication systems in various types of communication channels.


� Mahasiswa mampu menjelaskan konsep dan elemen sistem komunikasi digital.

� Mahasiswa mampu menjelaskan kinerja sistem komunikasi digital pada berbagai jenis kanal.


Konsep probabilitas dan proses acak, konsep teori informasi dan pengkodean sumber, pemodelan sinyal dan sistem komunikasi digital, penerima optimum dan kinerja probabilitas kesalahan pada kanal AWGN, pengantar pengkodean kanal, desain sinyal untuk kanal pita terbatas, penerima optimum dan sub-optimum untuk kanal ISI, pengantar sistem komunikasi digital pada kanal fading. Concepts of probability and random processes, concepts of information theory and source coding, models of signals and systems in digital communications, optimum receiver and error rate performance of digital communication systems in AWGN channels, fundamentals of channel coding, signal design for digital communications through band-limited channels, optimum and sub-optimum receivers for channels with ISI, fundamentals of digital communications through fading channels.


� John G. Proakis & Massoud Salehi, Digital Communications, 5th ed., McGraw-Hill, 2007.

� B. Sklar, Digital Communications.


� Bernard Sklar, Digital Communications: Fundamentals and Applications, 2nd ed., Prentice Hall, 2001.

� Artikel-artikel dari jurnal ilmiah, misal: IEEE Trans. on Communication and IEEE J. on Selected Areas in Communications.

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PRASYARAT/PREREQUISITE Proses acak (bisa diambil bersamaan)

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TE – 092630: Sistem Komputer GRID TE – 092630: GRID Computer System Sks /Credits: 2 Semester: II


Mahasiswa mampu menjelasan arsitektur dari sistem grid, sistem manajemen sumber daya pada grid, dan juga bagaimana web semantik disebarkan dalam sistem grid untuk menghasilkan keamanan dan ketersediaan pada grid. Student can explain the basic architecture of Grid system, resources management system in Grid, and also how is the semantic web being deployed in Grid system to provide the security and reliability of the Grid.


� Mahasiswa mampu menjelaskan arsitektur dasar dana fitur-fitur grid berdasarkan standar OGSA.

� Mahasiswa mampu menjelaskan bagaimana sistem manajemen sumber daya diterapan pada sistem grid untuk mendukung unjuk kerja dan keamanan pada grid.

� Student can explain the basic architecture and features of Grid based on OGSA standardization.

� Student can explain how the resources management system is applied in Grid system to support the performance and security in Grid.


� Arsitektur dasar sistem grid � Beberapa konsep dan aplikasi dalam komputasi

terdistribusi � Globus toolkit dan layanan web pada sistem grid � Web semantik pada sistem grid � Konsep keamanan dan unjuk kerja pada sistem grid � Basic architecture of Grid System � Some concepts of application in distributed computing � Globus toolkit and web service in grid system � Web Semantic grid system � Concepts of security and performance in grid system


Maozhen Li and Mark Baker, The Grid core technology, Brunel Univ, UK, Portsmouth Univ, USA, John Wiley & Sons, 2005.


Stevens, R.D, Tipney, H.J, Wroel, C, J, Oinn T.M, Senger, M, Lord, PW, et all, Syndrome using myGrid, bioinformatic,

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REFERENCES 2003.

PRASYARAT/PREREQUISITE Computer Network and Parallel Processing

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TE – 092627: Komputasi Bergerak TE – 092627: Mobile Computing Sks /Credits: 2 Semester: II


Memahami apa itu komputasi bergerak, ubiqitous computing, mobile computing, beberapa teknik dan aplikasinya. Students understand the concepts of mobile computing, ubiqitous computing, some of the techniques and applications.


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� Wireless Sensors: RFID Automatic Identification and Data Capture

� RFID Applications: Animal Monitoring, Assets and Vehicles Tracking

� Internet of Things: A Context-Awareness Perspective � Street, Car and Home Without Secrets: Telematics,

Intelligent Vision, What the Software Knows (Machine Learning)


� THE INTERNET OF THINGS, From RFID to the Next-Generation Pervasive Networked Systems.

� World Without Secrets: BUSINESS, CRIME, AND PRIVACY IN THE AGE OF UBIQUITOUS COMPUTING, Richard Hunter, John Wiley & Sons, Inc.

� Advances in Ubiquitous Computing: Future Paradigms and Directions.


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TE – 092628: Jaringan Komputer TE – 092628: Computer Network Sks /Credits: 2 Semester: III


Mahasiswa mampu menjelaskan bagaimana sebuah jaringan computer terhubung dan saling berkomunikasi satu dengan lainnya dengan menggunakan protocol komunikasi, serta konsep-konsep komunikasi data yang ada di dalamnya termasuk adalah error correction dan security. Students able to describe how computers network is established and how computers can communicate each others by means of communication protocol, have knowledge about communication concepts including data communication concepts such as error correction and security.


� Mahasiswa mampu menjelaskan bagaimana dasar fondasi terjadinya komunikasi data dalam jaringan komputer.

� Mahasiswa mampu menjelaskan bagaimana logika-logika komunikasi data dan lingkungannya dibangun.

� Students can describe basic of how communication is established in a computer network.

� Students can describe logics of data communication and its environment is established.


� Dasar jaringan komputer � OSI reference model � Protocol TCP/IP � Logika komunikasi data � Konsep security dan cryptografi � Basic of computer network � OSI reference model � TCP/IP Protocol � logics of data communication � security concept dan cryptography


James F Kurose dan Keith W Ross, Computer Networking Top Down, 2000.


� Cisco System, Routing TCP/IP, CCIE Professional Development, volume 1, 1998.

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REFERENCES � Drew Heywood, Konsep dan Penerapan Microsoft TCP/IP, Andi Jogjakarta, 1997.

PRASYARAT/PREREQUISITE Arsitektur computer dan Rangkaian Logika.

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TE – 092099 : Tesis TE – 092099 : Thesis Sks /Credits: 6 Semester: IV


Mahasiswa mampu menerapkan metode ilmiah untuk menyelesaikan permasalahan dalam bidang keilmuan teknik elektro dengan kontribusi ilmiah yang disesuaikan dengan program magister. The student can apply the methods to solve the problems in the field of electrical engineering that have the contribution related the master program.


Mahasiswa mampu menerapkan metode ilmiah untuk menyelesaikan permasalahan sesuai bidang keilmuan. The Student have the ability to apply the methods for the problem solving.


Disesuaikan dengan tema yang diambil masing-masing mahasiswa. Depend on the students topics.


Pedoman Penyusunan Thesis, Program Pascasarjana ITS, 2006.


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PRASYARAT/PREREQUISITE �� Pengenalan Bidang Riset �� Proposal Riset � Introduction to Research Fields � Research Proposal

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TE – 092636: Sistem Biometrika TE – 092636: Biometric System Sks /Credits: 2 MK Pilihan / Additional optional courses


Mahasiswa memiliki pengetahuan tentang system biometrika baik dalam system yang menggunakan single ataupun multi modal juga proses kegagalan dalam mendidentifikasi kasus dan bagaimana cara memecahkannya menggunakan ROC curve. Students have the knowledge about single modal and multi modal biometric system and failure process in identification and how to solve it using ROC curve.


� Mahasiswa mampu menjelaskan cara-cara perancangan system biometrika baik single maupun multi modal.

� Mahasiswa mampu menjelaskan proses kegagalan pada identifikasi system biometrika dan bagaimana cara mengurangi kegagalan tersebut.

� Students can explain the design methods of single modal and multi modal biometric system.

� Students can explain failure process in identification of biomeotric system and how to reduce it.


� Fenomena biometrika. � Pengidentifikasian single ataupun multi model

biomterika, untuk pengenalan. � Kegagalan pada sisitem identifikasi biometrika dan

penanggulangannya. � Pengaturan ROC curve. � Sistem Biometrika menggunakan ROC curve. � Phenomenons of biometrics. � Single modal and multi modal biometric identification

for recognition. � Failures in biometric identification and how to solve

them. � ROC curve. � Biometric system using ROC curve.


� Anil K. Jain, Patrick Flynn, Arun A. Ross, Handbook of Biometrics, Springer Verlag 2005.


� M. Negin, T. A. Chmielewski, M. Salganicoff, T. A. Camus, U. M. C. von Seelan, P. L. Venetianer, and G. G. Zhang.

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REFERENCES An Iris Biometric System for Public andPersonal Use. IEEE Computer, 33(2):70–75, February 2000.

� M. S. Nixon, J. N. Carter, D. Cunado, P. S. Huang, and S. V. Stevenage. Automatic Gait Recognition. In A. K. Jain, R. Bolle, and S. Pankanti, editors, Biometrics:Personal Identification in Networked Society, pages 231–249. Kluwer Academic Publishers, London, UK, 1999.

� L. O’Gorman. Comparing Passwords, Tokens, and Biometrics for User Authentication. Proceedings of the IEEE, 91(12):2019–2040, December 2003.

� P. J. Phillips, P. Grother, R. J. Micheals, D. M. Blackburn, E. Tabassi, and J. M. Bone. FRVT2002: Overview and Summary. http://www.frvt.org/FRVT2002, March 2003.

PRASYARAT/PREREQUISITE

� Matematika Diskrit dan Teori Graph � Komputasi Lunak � Jejaring Multimedia � Interaksi Manusia Komputer � Discrete Mathematics and Graph Theory � Soft Computing � Multimedia Networks � Human Computer Interaction

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TE – 092637: Manajemen jaringan TE – 092637: Network Management Sks /Credits: 2 MK Pilihan/Additional optional courses


Mahasiswa mampu menjelaskan dan mendisain manajemen jaringan beserta aplikasinya. Student have experience on design network management and it’s application.


� Mahasiswa mampu mendisain sistem manajemen jaringan.


� Can design network management. � Can make simulation on actual application.


� Perangkat keras dan lunak untuk manajemen jaringan � Network planning � Traffic routing to support load balancing � Cryptographic key distribution authorization � Configuration and fault management � Security management � Performance management � Network management’s hardware and software


� Journal of IEEE trans on networking


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TE – 092621: Jaringan Nirkabel Ad-Hoc TE – 092621: Wireless Ad-Hoc Network Sks /Credits: 2 MK Pilihan/Additional optional courses


Mempelajari berbagai arsitektur dan karakteristik jaringan ad hoc dan mobile, beserta teknik-teknik akses dan routing yang diperlukan, selain aspek keamanan. To study various architecture and characteristics of mobile and ad hoc networks, as well as related access, routing techniques and security aspects.


Mahasiswa diharapkan memahami: �� Karakteristik dan arsitektur jaringan ad hoc � MAC dan unjuk kerja berkaitan dengan berbagai model

trafik � Penentuan lokasi dan teknik-teknik terkait � Konsep keamanan pada jaringan ad hoc dan protokol-

protokol terkait � Simulasi jaringan ad hoc The students will understand: � Architectures and characteristics of ad hoc network � MAC and its performances in relation to various traffic

models � Localization techniques � Security concepts and protocols � Ad hoc network simulation


�� Penyegaran system komunikasi data nirkabel �� Medium access control: pemodelan trafik, pemodelan

tunda, model antrian, multiple access, demand assigned MA, CSMA, MAC pada jaringan ad hoc

� Akses nirkabel ad hoc: jaringan Bluetooth, pencarian simpul, algoritma pembentukan Bluetooth, mode mesh pada WiMAX/802.16

� Pemrograman jaringan nirkabel: struktur informasi, socket, parameter dan control, frame terima dan frame kirim

� Protokol jaringan ad hoc: IP routing normal, pendekatan reaktif, pendekatan proaktif, pendekatan hibrida, pengelompokan, QoS, protokol jaringan sensor

� Simulasi jaringan: ns2 � Kesadaran tentang lokasi: kedekatan geografik,

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pembentukan spanner, diseminasi informasi, penentuan lokasi geografik, graf lingkaran satu acak, cakupan dan konektivitas

�� Keamanan jaringan ad hoc: teknik-teknik otentifikasi, serangan lapis fisik, protokol aplikasi keamanan, kemanan routing, keamanan broadcast, verifikasi lokasi yang aman

� Review of wireless data communication � Medium access control: traffic modeling, delay model,

queueing models, multiple access, demand assigned MA, CSMA, MAC in adhoc network

� Ad hoc wireless access: Bluetooth networks, node discovery, Bluetooth formation algorithms, mesh mode of WiMAX/802.16

� Wireless network programming: structure of information, socket, parameters and control, receiving frames, sending frames

� Ad hoc network protocols: normal IP routing, reactive approach, proactive approach, hybrid approach, clustering, QoS, sensor network protocols

� Network simulation: ns2 � Location awareness: geographic proximity, constructing

spanner, information dissemination, geographic location determination, random unit disc graphs, coverage and connectivity

� Ad hoc network security: authentication techniques, physical layer attacks, security application protocols, routing security, broadcast security, secure location verification


�� Michel Barbeau & Evangelos Kranakis, Principles of Ad Hoc Networking, Wiley, 2007.


�� Ian F. Akyildiz and Xudong Wang, Wireless Mesh Networks, Wiley, 2009.

�� Artikel-artikel dari jurnal ilmiah: IEEE Transaction on Communications IEEE Transaction on Wireless Communication


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TE – 092622: Multimedia dalam Jaringan TE – 092622: Networked Multimedia Sks /Credits: 2 MK Pilihan/Additional optional courses


Mahasiswa dapat menjelaskan arsitektur, diagram alir dan fitur multimedia dalam jaringan dan protocol komunikasi yang tersedia pada beberapa aplikasi jaringan. Student can explain the architecture, flow diagram and features of networked multimedia and also the communication protocol inside the network in providing the development of some applications in the network.


� Mahasiswa dapat menjelaskan dengan baik bagaimana system multimedia dalam jaringan dikembangkan.

� Mahasiswa dapat menjelaskan organisasi system multimedia dalam jaringan dan protokolnya.

� Mahasiswa mampu menjelaskan perfomansi system komunikasi yang tersedia pada multimedia dalam jaringan.

� Student can explain correctly how is the networked multimedia system being develope .

� Student can explain the organization of networked multimedia system and its protocol.

� Student can explain how the communication system provide the performance of networked multimedia.


� Konsep Multimedia � Aplikasi multimedia dalam jaringan(video streaming) � Protokol komunikasi yang mendukung pengembangan

aplikasi multimedia dalam jaringan. � Multimedia pada jaringan nirkabel. � Konsep keamanan dan performansinya pada multimedia

dalam jaringan � The concept of Multimedia � Multimedia application in the network (video streaming) � Communication protocol in supporting the development

of Multimedia application in the network � Multimedia in the wireless network � The concept of security and performance in networked

multimedia

PUSTAKA UTAMA/ MAIN Computer Networking: A Top Down Approach Featuring the Internet, 3rd edition, Jim Kurose and Keith Ross Addison-

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REFERENCES Wesley, 2005.


Networked Multimedia Embedded linux, Case study, 2001.

PRASYARAT/PREREQUISITE Jaringan Komputer dan Multimedia Computer Network and Multimedia

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TE – 092623: Keamanan Sistem Informasi dan Jaringan TE – 092623: Information System and Network Security Sks /Credits: 2 MK Pilihan/Additional optional courses


Mempelajari konsep-konsep keamanan dan teknik-teknik yang digunakan untuk keamanan sistem informasi dan jaringan. To study security concepts and techniques used to implement security for information system and network.


Mahasiswa mampu memahami: � Konsep-konsep keamanan pada sistem informasi dan

jaringan � Teknik-teknik kriptografi kunci rahasia dan publik � Implementasi keamanan pada berbagai lapisan dari

arsitektur jaringan The students will understand: �� The security concepts for information systems and

network � Cryptography techniques: secret key & public key � How to implement security in various layers of

architecture[


� Pengantar keamanan sistem komputer dan kriptografi � Kriptografi dengan kunci rahasia � Hash dan ringkasan pesan � Kriptografi dengan kunci publik � Distribusi dan manejemen kunci, sertifikasi sendiri � Otentikasi � Kontrol akses dan desain sistem yang aman � Kirptografi dan keamanan sistem � Perangkat lunak jahat dan worm � Keamanan routing � Keamanan lapisan IP � Keamanan sistem penamaan � Botnet: serangan dan teknik pertahanan � Pemantauan sistem dan deteksi penyusupan � Keamanan sistem nirkabel � Keamanan web

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� Computer security overview � Intro to cryptography � Secret key cryptography � Hashes and message digests � Public key cryptography � Key distribution, management, self-certification � Authentication � Access control and secure system design � Cryptography and system security � Malware & worms � Routing security � IP-layer security � Naming security � Botnets: attacks & defenses � Monitoring and intrusion detection � Wireless security � Web security


� Charlie Kaufman, Radia Perlman and Mike Speciner, Network Security: Private Communication in a Public World, 2nd Ed., Prentice Hall, 2002.


� Ross Anderson, Security Engineering: A Guide to Building Dependable Distributed Systems, 2nd ed., Wiley, 2008.

� William Stallings, Network Security Essentials: Applications and Standards, Prentice-Hall, 2000.


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TE – 092624: Sistem Real-Time dan Embedded TE – 092624: Real-Time and Embedded System Sks /Credits: 2 MK Pilihan/Additional optional courses


Mahasiswa mengetahui dan mampu menjelaskan sistem real time dan embedded. Student know and able to describe concept of real time and embedded system.


� Mahasiswa mampu menjelaskan sistem embedded. � Mahasiswa mampu menjelaskan sistem real time. � Student able to describe embedded system. � Student able to describe real time system.


� Pengenalan Sistem Embedded. � Sistem Operasi Real time pada sistem embedded. � Manajemen perancangan sistem embedded. � Manajemen sumber daya dan Team work. � Basic of Embedded System. � Real time operating system in an embedded system. � Management in embedded system design.


� Richard Zurawski, Embedded Systems Handbook, Tailor and Francis, 2006.


� Arnold S. Berger, Embeded Systems Design an Introduction to Proces, Tools, and Techniques CMPBooks, 2002.


� Pemrograman computer. � Pemrograman mikrokontroller. � Komputasi Multimedia. � Soft Computing. � Computer programming. � Microcontroller programming. � Multimedia computation. � Soft Computing.

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TE – 092626: Sistem Telemedika TE – 092626: Telemedicine System Sks /Credits: 2 MK Pilihan/Additional optional courses


Mahasiswa mengetahui dan mampu menjelaskan pengembangan Telemedika beserta desain aplikasinya. Students understand and have the ability to explain the development of telemedicine and its applications.


� Mahasiswa mengetahui definisi telemedika, sejarah, cakupan dan perkembangannya, serta perkembangan telemedika di berbagai negara.

� Mahasiswa mengetahui teknologi pendukung telemedika, layanan telemedika yang ada, etika dan aspek legal telemedika.

� Mahasiswa dapat membuat desain aplikasi telemedika. � Students understand about the definition of

telemedicine, history, scope, and development of telemedicine in many countries.

� Students understand about telemedicine supporting technology, the available telemedicine services, ethics, and legal aspects of telemedicine.

� Students can develop the application design of telemedicine.


� Definisi telemedika, sejarah, cakupan dan perkembangannya.

� Teknologi pendukung telemedika. � Layanan telemedika. � Etika dan aspek legal telemedika. � Perkembangan telemedika di berbagai negara. � Desain aplikasi telemedika. � Definition of telemedicine, history, scope, and its

development. � Supporting technology of telemedicine. � Telemedicine services. � Ethics and legal aspects of telemedicine. � Development of telemedicine in many countries. � Application design of telemedicine.


� A.C. Norris, Essential of Telemedicine and Telecare, John Wiley & Sons LTD., West Sussex, 2002.

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� Rifat Latifi, CURRENT PRINCIPLES AND PRACTICES OF TELEMEDICINE AND E-HEALTH, IOS press, Amsterdam, 2008.

� G. Burg, Telemedicine and Teledermatology, Switzerland, 2003.


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TE – 092631: Sistem Manajemen Basis Data Multimedia TE – 092631: Multimedia Data Base Management System Sks /Credits: 2 MK Pilihan/Additional optional courses


Memberikan pengetahuan tentang konsep sistem manajemen basis data (DBMS) dan komponen- komponennya. Disamping itu, memberikan informasi perkembangan terkini dari DBMS seperti basis data terdistribusi, basis data bergerak, basis data spasial, basis data fuzzy, basis data stream, basis data semi terstruktur, dan basis data multimedia terdistribusi, serta peran basis data dalam datawarehouse dan penambangan data (data mining). � To give the knowledge about the concepts of database

management system (DBMS) and its components. � To give information about the most recent

development of DBMS.


� Mahasiswa mengetahui perbedaan antara sistem file dan DBMS.

� Mahasiswa mengetahui komponen- komponen penyusun DBMS.

� Mahasiswa menguasai perintah SQL untuk pendefinisian dan pengolahan data.

� Mahasiswa mampu membentuk sebuah database melalui proses normalisasi.

� Mahasiswa mampu membentuk sebuah database dari diagram E-R.

� Mahasiswa mengetahui aplikasi terkini dari DBMS seperti basis data terdistribusi, basis data bergerak, basis data spasial, basis data fuzzy, basis data stream, basis data semi terstruktur, dan basis data multimedia terdistribusi, serta peran basis data dalam datawarehouse dan penambangan data (data mining).

� Students understand the difference between file system and DBMS.

� Students understand the constructing components of DBMS.

� Students literate SQL instructions for definition and data processing.

� Students can create a database through normalization process.

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� Students can create a database from E-R diagram. � Students understand the most recent applications of

DBMS like distributed database, mobile database, spatial database, a fuzzy database, stream database, half-structured database, distributed multimedia database, and the role of database in data warehouse and data mining.


TOPIK DBMS 1. Sistem file dan DBMS, model database (hirarki, jaringan,

dan relational), diagram E-R, query relational, integrity dan security, desain database relasional (dependency, integrity, bentuk normal, normalisasi, dan dekomposisi.

2. Komponen DBMS, penyimpanan, struktur file, dan organisasi, dan indexing. Pemrosesan query, optimisasi query, manajemen transaksi, kontrol konkuren, dan sistem recovery.

TOPIK TAMBAHAN Basis data terdistribusi, basis data bergerak, basis data spasial, basis data fuzzy, basis data stream, basis data semi terstruktur, dan basis data multimedia terdistribusi, serta peran basis data dalam datawarehouse dan penambangan data (data mining). � File system and DBMS, database model (hierarchy,

network, and relational), E-R diagram, query relational, integrity and security, relational database design (dependency, integrity, normal form, normalization, and decomposition.

� Components of DBMS, storage, file structure, organization, and indexing. Query processing, query optimization, transaction management, concurrent control, and recovery system.

� Distributed database, mobile database, spatial database, a fuzzy database, stream database, half-structured database, distributed multimedia database, and the role of database in data warehouse and data mining.


� Silberschatz, Korth, Sudarshan, Database System Concept, Fifth Edition, McGraw-Hill, 2006.

� Raghu Ramakrisnan, Database Management Systems , Second Edition, McGraw-Hill, 2006.


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REFERENCES


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TE – 092632: Kecerdasan Bisnis TE – 092632: Business Intelligent Sks /Credits: 2 MK Pilihan/Additional optional courses


Memberikan pengetahuan tentang lingkup dan latar belakang penambangan data dan jenis data yang bisa ditambang. Disamping itu memberikan pemahaman tentang pola data yang bisa ditambang seperti pola kerap, asosiasi dan korelasi, klasifikasi, prediksi, klastering, dan pola pada berbagai aplikasi seperti data stream, data sekuen, data WEB. � Give knowledge about the scope and background of

bussiness intelligence, mining the data and data type to be mined.

� Give an understanding about pattern of data to be mined such as frequent pattern, asscociation, classification, prediction, clustering, and other pattern in various application such as stream data, sequence data, and WEB data.


� Mahasiswa mengetahui lingkup dan latar belakang penambangan data, jenis data dan pola data yang bisa ditambang.

� Mahasiswa mengetahui prosedur yang dilakukan untuk persiapan data seperti pembersihan data, integrasi data, transformasi data dan reduksi data.

� Mahasiswa mengetahui peran datawarehouse dan teknologi OLAP dalam penambangan data.

� Mahasiswa mengetahui pola umum seperti summarization, pola kerap, dan pola dari data stream, time series, data sekuen, data spasial, data multimedia, data teks, data WEB.

� Mahasiswa memahami teknik penambangan pola asosiasi dan korelasi.

� Mahasiswa memahami teknik klasifikasi untuk penambangan data seperti decision trees (classification tree & regression tree), analisis diskriminan, k-Nearest Neighbor, dan neural network.

� Mahasiswa memahami teknik prediksi untuk penambangan data seperti loss functions, model linear dan non-linear.

� Mahasiswa memahami metode klastering untuk

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penambangan data seperti partitional, hirarki, diskriminatif dan generatif, serta kohonen network.

� Students know the scope and background of business intelligence, mining the data and data type to be mined.

� Students know the procedure needed for data preparation such as data cleaning, data integration, data transformation and data reduction.

� Students know the role of datawarehouse dan OLAP technology in bussiness intelligence.

� Students know global pattern in business intelligence such as summarization, frequent pattern, and pattern in stream data, time series data, sequence data, spatial data, multimedia data, text data, and WEB data.

� Students understand techniques in bussiness intelligence such as asscociation and correlation.

� Students understand classification techniques such as decision trees (classification tree & regression tree), discriminant analysis, k-Nearest Neighbor, and neural network.

� Students understand prediction techniques such as loss functions, model linear and non-linear.

� Students understand prediction clustering techniques such as partitional, hierarchy, discriminative and generative, and kohonen network.


� Lingkup dan latar belakang penambangan data dan jenis data yang bisa ditambang.

� Berbagai teknik dalam penambangan data yang mencakup asosiasi dan korelasi, klasifikasi, prediksi, klastering, dan teknik untuk mendapatkan pola kerap, serta teknik untuk mendapatkan pola pada berbagai aplikasi seperti data stream, data sekuen, data WEB.

� Scope and background bussiness intelligence and data type to be mined.

� Various techniques in bussiness intelligence such as asscosiation, correllation, classification, prediction, frequent pattern, and techniques to find pattern in stream data, sequence data, and WEB data.


� Jiawei Han and Micheline Kamber, Data Mining: Concepts and Techniques, Morgan Kaufmann, Second Edition, 2006.

� Ian H.Witten and Eibe Frank, Data Mining: Practical Machine Learning Tools and Techniques, Morgan Kaufmann, Second Edition, 2005.

� Nong Ye, The handbook of data mining, Lawrence Erlbaum Associates, Inc., 2003.

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TE – 092633: Pengolahan Citra Digital TE – 092633: Digital Image Processing Sks /Credits: 2 MK Pilihan/Additional optional courses


Memberikan pengetahuan tentang citra dan video digital, mulai dari akuisisi, penyimpanan, pemampatan, pengiriman, dan pengolahannya seperti perbaikan, restorasi, serta segmentasi, deskripsi, representasi, klasifikasi, pengenalan, dan visualisasi objek dari citra atau video digital. The students understand about digital image and video, including acquisition, storage, compression, transferring, and processing like enhancement, restoration, segmentation, description, representation, classification, recognition, and visualization of digital image and video.


� Mahasiswa mengetahui lingkup pengolahan citra dan video digital.

� Mahasiswa mengetahui teknik dan metode akuisisi citra dan video digital dan peralatan akuisisinya.

� Mahasiswa memahami teknik dan metode penyimpanan, dan pemampatan citra dan video digital.

� Mahasiswa memahami teknik dan metode pengiriman citra dan video digital.

� Mahasiswa memahami teknik dan metode perbaikan, restorasi, dan representasi citra dan video digital.

� Mahasiswa memahami teknik dan metode segmentasi, deskripsi, representasi, klasifikasi, pengenalan, dan visualisasi objek dari citra atau video digital.

� Mahasiswa mengetahui penerapan satu atau kombinasi beberapa teknik atau metode untuk aplikasi tertentu.

� The students understand about digital image and digital video processing.

� The students understand about the techniques and methods of digital image and digital video acquisition and its equipments.

� The students understand about the techniques and methods of storage and compression of digital image and digital video.

� The students understand about the techniques and methods of transferring digital image and digital video.

� The students understand about the techniques and

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methods of enhancement, restoration, and representation of digital image and digital video.

� The students understand about the techniques and methods of segmentation, description, representation, classification, recognition, dan visualisation of digital image and digital video.

� The students understand about the combination of several techniques and methods in certain applications.


� Teori tentang sinyal dan transformasinya, multiresolution, wavelet, dan mathematical morphology.

� Pokok bahasan tentang citra dan video digital mencakup teknik dan metode akuisisi, perbaikan kualitasnya dan restorasi, representasi, dan pemampatan citra (lossy dan lossless). Pokok bahasan juga mencakup teknik dan metode segmentasi objek pada citra untuk proses lebih lanjut seperti registrasi, pencocokan (matching) serta pengenalan.

� Theory about signal and its transformation, multi-resolution, wavelet, and mathematical morphology.

� Techniques and methods of digital image and digital video acquisition, enhancement and restoration, representation, compression (lossy dan lossless), registration, matching, and recognition.


� Alan C. Bovik, Handbook of Image and Video Processing, Academic Press, 2000.

� Rafel C. Gonzalez, Digital Image Processing, 3rd Ed., Pearson Education, 2008.


� Rafel C. Gonzalez, Digital Image Processing using Matlab, Pearson Education, 2003.


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TE – 092634: Kecerdasan Buatan TE – 092634: Artificial Intelligent Sks /Credits: 2 MK Pilihan/Additional optional courses


Mahasiswa mengetahui dan mampu menjelaskan Kecerdasan buatan beserta aplikasinya. Students know and able to describe artificial intelligent and its application.


� Mahasiswa mampu menjelaskan konsep dan teknik-teknik Kecerdasan buatan.


� Student able to describe concept and techniques of artificial intelligence.

� Student able to apply the concept in real applications.


� State-Driven Agent Design � Autonomously Moving Game Agents � Sports Simulation � Flocking � Rule Base � Decision under uncertainty


David M Bourg, Glenn Seaman,AI for Game Developers, O Reilly, 2004.


� Russel Norvig, Artificial Intelligence A Modern Approach, Prentice Hall, 2003.

� Mat Buckland , Programming Game AI by Example, Wordware Publishing, 2005.


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TE – 092635: Komputasi Fault-tolerant TE – 092635: Fault-tolerant Computation Sks /Credits: 2 MK Pilihan/Additional optional courses


Mempelajari konsep-konsep toleransi terhadap gangguan, keandalan dan sistem yang dapat diandalkan pada sistem komputasi, serta teknik-teknik yang terkait. To study fault-tolerant and reliability concepts and dependable systems for computation, as well as related techniques.


Mahasiswa mampu: � Memahami konsep-konsep toleransi terhadap gangguan

dan keandalan suatu sistem, serta teknik-teknik implementasinya.

� Memahami konsep keberlebihan suatu sistem dan kemampuan pemulihan suatu sistem, serta implementasi sistem yang dapat diandalkan.

� Menganalisa keandalan suatu perangkat lunak dan sistem komputasi.

The students are expected to be able: �� To understand fault-tolerant concept and reliability of a

system, as well as implementation of related techniques. � To understand redundancy and recovery capability of a

system, as well as the implementation of dependable system .

� To analyze the reliability of software or computation system.


� MPenyegaran: teori probabilitas dan arsitektur computer

� Pengantar komputasi yang tahan gangguan, keandalan dan ketersediaan

� Teknik-teknik pengkodean: jarak kode, kode bit paritas, kode deteksi kesalahan dan pengiriman ulang, kode koreksi kesalahan burst

� Penyegaran: teori keandalan � Keberlebihan, cadangan dan perbaikan: keberlebihan

sistem versus komponen, keberlebihan paralel, sistem standby, sistem yang dapat diperbaiki, keandalan sistem RAID

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� Keberlebihan N-modular: keberlebihan modular tiga lipat, keberlebihan N-modular, pemilih tak sempurna, logika pemilih

� Keandalan perangkat lunak dan teknik-teknik pemulihan: definisi, siklus hidup pengembangan perangkat lunak, model-model kesalahan perangkat lunak, estimasi konstanta model, keberlebihan perangkat lunak, putar ulang dan pemulihan

� Keandalan sistem terhubung dalam jejaring: model graph, definisi, keandalan 2-terminal, keandalan semua terminal, pendekatan dalam desain

� Optimisasi keandalan

�� Review: probability theory and computer architecture � Introduction to fault tolerant computing, reliability and

availability � Coding techniques: code distance, parity-bit codes, error-

detection and retransmission codes, burst error-correction codes

� Review: reliability theory � Redundancy, spares and repairs: system versus

component redundancy, parallel redundancy, standby systems, repairable systems, RAID system reliability

� N-modular redundancy: triple modular redundancy, N-modular redundancy, imperfect voters, voter logic

� Software reliability and recovery techniques: definition, software development life cycle, software error models, estimating the model constants, software redundancy, rollback and recovery

� Networked system reliability: graph models, definition, 2-terminal reliability, all-terminal reliability, design approaches

� Reliability optimization PUSTAKA UTAMA/ MAIN REFERENCES

�� Martin L. Shooman, Reliability of Computer Systems and Networks: Fault Tolerance, Analysis and Design, Wiley, 2002.


� Eiji Fujiwara, Code Design for Dependable Systems: Theory and Practical Applications, Wiley, 2006.

� Denis Besnard, Cristina Gacek & Cliff B. Jones, eds., Structure for Dependability: Computer-Based Systems from an Interdisciplinary Perspective, Springer, 2006.


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TE – 092642: Topik Khusus Telematika TE – 092642: Ad-hoc Topic on Telematics Sks /Credits: 2 MK Pilihan/Additional optional courses


�� Mahasiswa memahami teori dan konsep di bidang telematika yang diangkat sebagai topik khusus.

�� Student comprehend theories and concepts in the field of telematics selected for special topics.


�� Mahasiswa dapat mendesain, menganalisis, dan membuat critical review dari teknik atau sistem dalam bidang telematika yang diangkat sebagai topik khusus.

�� Student is skilled in designing, analyzing, and writing a critical review of systems or methods in the field of telematics selected for special topics.


� Teori dan konsep di bidang telematika yang diangkat sebagai topik khusus.

� Theories and concepts in the field of telematics selected as special topics.


� IEEE journals � Others as necessary


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STRUKTUR KURIKULUM PROGRAM

MANAJEMEN JARINGAN 2009-2014

No. Kode MK Code


sks Credits


Proses Acak pada Telematika Random Process in Telematics

3

2 TE.092628 Jaringan Komputer Computer Network

2

3 TE.092602

Matematika Diskrit dan Teori Graf Discrete Mathematics and Graph Theory

2

4 TE.092092


2


1 TE.092620 Pengolahan dan Komunikasi Multimedia 3 2 TE.092637 Manajemen Jaringan

Network Management 2

3 TE.092604

Sistem Komunikasi Digital Digital Communication System

2

4 TE.092093

Penulisan Ilmiah Scientific Writing

2


1 TE.092623 Keamanan Sistem Informasi dan Jaringan Information System and Network Security

2

2 TE.092625 Analisa dan Unjuk Kerja Jaringan Komunikasi Analysis and Communication Network Performance

2

3 TE.092629 Jaringan Multimedia Multimedia Network

2

4 Mata Kuliah Pilihan Additional optional courses

2


1 TE.092099

Tesis Thesis

6


4


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No. Kode MK Code


sks Credits

1 TE.092621

Jaringan Nirkabel Ad-Hoc Wireless Ad-Hoc Network

2

2 TE.092627 Komputasi Bergerak Mobile Computing

2

3 TE.092624

Sistem Real-Time dan Embedded Real-Time and Embedded System

2

4 TE.092626

Sistem Telemedika Telemedicine System

2

5 TE.092631

Sistem Manajemen Basis Data Multimedia Multimedia Data Base Management System

2

6 TE.092632

Kecerdasan Bisnis Business Intelligent

2

7 TE.092633

Pengolahan Citra Digital Digital Image Processing

2

8 TE.092636


2

9 TE.092630

Sistem Komputer GRID GRID Computer System

2

10 TE.092642

Topik Khusus Telematika Ad-hoc Topic on Telematics

2

11 TE.092643 Rekayasa Internet Internet Engineering

2

12 TE.092644 E-Learning E-Learning

2

13 TE.092645 E-Government E-Government

2

14 TE.092646 Jaringan Komunikasi Nirkabel Wireless Network Communication

2

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SILABUS KURIKULUM/COURSE SYLLABUS


TE – 092600: Proses Acak pada Telematika TE – 092600: Random Process in Telematics Sks /Credits: 3 Semester: I


Mahasiswa mampu memahami konsep proses acak dan menerapkannya dalam analisis permasalahan telematika. Students able to understand concepts of random process, and apply the concepts for analyzing Telematics problems.


� Mahasiswa mampu menjelaskan konsep variabel acak dan proses acak.

� Mahasiswa mampu menerapkan konsep proses acak dalam analisis permasalahan telematika.

� Students able to describe the concept of random variable and random process.

� Students able to apply the concepts for analyzing Telematics problems.


� Konsep probabilitas � Konsep dan karakterisasi variabel acak � Fungsi variabel acak � Konsep dan karakterisasi proses acak � Transformasi proses acak � Konsep proses Markov � Probability concept � Concept and characterization of random variable � Random variable function � Random process transformation � Concept of markov process


� Papoulis and ...., Probability and Random Processes � Peyton Z. Peebles, Probability, Random Variables, and

Random Signal Principles, 4th Edition, McGraw-Hill, 2000.

� Alberto Leon-Garcia, Probability and Random Processes for Electrical Engineering, Addison-Wesley Pub. Company, Englewood Cliffs, New Jersey 1989.


� Roy D. Yates and David J. Goodman, Probability and Stochastic Processes: a friendly introduction for electrical and computer engineers, 2nd Edition, John

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REFERENCES Wiley & Sons, New York, 2005.


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TE – 092628: Jaringan Komputer TE – 092628: Computer Network Sks /Credits: 2 Semester: I


Mahasiswa mampu menjelaskan bagaimana sebuah jaringan computer terhubung dan saling berkomunikasi satu dengan lainnya dengan menggunakan protocol komunikasi, serta konsep-konsep komunikasi data yang ada di dalamnya termasuk adalah error correction dan security. Students able to describe how computers network is established and how computers can communicate each others by means of communication protocol, have knowledge about communication concepts including data communication concepts such as error correction and security.


� Mahasiswa mampu menjelaskan bagaimana dasar fondasi terjadinya komunikasi data dalam jaringan komputer.

� Mahasiswa mampu menjelaskan bagaimana logika-logika komunikasi data dan lingkungannya dibangun.

� Students can describe basic of how communication is established in a computer network.

� Students can describe logics of data communication and its environment is established.


� Dasar jaringan komputer � OSI reference model � Protocol TCP/IP � Logika komunikasi data � Konsep security dan cryptografi � Basic of computer network � OSI reference model � TCP/IP Protocol � logics of data communication � security concept dan cryptography


James F Kurose dan Keith W Ross, Computer Networking Top Down, 2000.


� Cisco System, Routing TCP/IP, CCIE Professional Development, volume 1, 1998.

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REFERENCES � Drew Heywood, Konsep dan Penerapan Microsoft TCP/IP, Andi Jogjakarta, 1997.

PRASYARAT/PREREQUISITE Arsitektur computer dan Rangkaian Logika.

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TE – 092602: Matematika Diskrit dan Teori Graf TE – 092602: Discrete Mathematics and Graph Theory Sks /Credits: 2 Semester: I


Mahasiswa memiliki pengetahuan mengenai struktur data dan berbagai macam algoritma serta mampu menggunakannya untuk berbagai permasalahan klasifikasi dan optimasi. Students have the knowledge about data structures and algorithms, and also have the ability to use them in many classification and optimization problems.


� Mahasiswa mengetahui konsep dasar matematika diskrit dan teori graph.

� Mahasiswa mampu menyelesaikan persoalan-persoalan optimasi dalam graph.

� Students understand basic concepts in discrete mathematics and graph theory.

� Students can solve classification and optimization problems in graph.


� Logika, himpunan dan fungsi. � Algoritma rekursi dan kompleksitas komputasi. � Relasi. � Tree. � Graph. � Logics, sets and functions. � Recursive algorithms and computational complexity. � Relations. � Tree. � Graph.


� Rosen, Discrete Mathematics, Prentice Hall Inc, 1999. � Cormen T., Leiserson C., Rivest R., Stein C., Introduction

to Algorithms, 2nd Edition, Mc Graw Hill international Edition, 2004.


Beberapa paper dari jurnal IEEE. Selected papers from IEEE transactions.

PRASYARAT/PREREQUISITE Pemrograman Komputer. Computer Programming.

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TE - 092092: Pengenalan Bidang Riset TE - 092092: Introduction to Research Fields Sks /Credits: 2 Semester: I


� Mahasiswa memahami berbagai cluster riset dalam bidang teknik sistem tenaga, telekomunikasi multimedia, teknik elektronika, jaringan cerdas multimedia, dan telematika; dan dapat memilih cluster riset yang akan ditekuni dengan tetap memperhatikan cluster-cluster riset yang berhubungan.

� Mahasiswa mampu menerapkan sikap ilmiah sesuai dengn kebidangan masing-masing.

� To have an understanding of many research fields in power system engineering, multimedia communication, electronic engineering, intelligent multimedia network, and telematics; and to have a skill to select own research cluster by considering all supporting clusters.

� To have a capability to apply scientific mindset and attitude in the own research filed.


� Mahasiswa memahami berbagai cluster riset bidang teknik sistem tenaga, telekomunikasi multimedia, teknik elektronika, jaringan cerdas multimedia, dan telematika.

� Mahasiswa mampu memilih pendekatan ilmiah yang tepat untuk menyelesaikan permasalahan melalui kegiatan riset untuk peningkatan kualitas hidup manusia dan lingkungan.

� Mampu melaksanakan dan memelihara sikap dan kegiatan ilmiah dalam kehidupan profesi.

� To have an understanding many research clusters in the fields of power system engineering, multimedia communication, electronic engineering, intelligent multimedia network, and telematics.

� To have a capability to choose an appropriate scientific approach to solve a certain engineering problem through activities for improvement of human life quality and environment.

� To have a skill of actualizing and to keep scientific attitude and scientific activities in professional tasks.


� Pembekalan bidang-bidang riset � Seminar ilmiah � Review jurnal ilmiah

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� Telaah kasus � Penyusunan laporan. � Provisioning of research fields � Journal article review � Case studies and report.


� Artikel journal terpilih. � Selected scientific journals in power system engineering,

multimedia communication, electronic engineering, intelligent multimedia network, and telematics.


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TE – 092637: Manajemen Jaringan TE – 092637: Network Management Sks /Credits: 2 Semester: II


Mahasiswa mampu menjelaskan dan mendisain manajemen jaringan beserta aplikasinya. Student have experience on design network management and it’s application.


� Mahasiswa mampu mendisain sistem manajemen jaringan.


� Can design network management. � Can make simulation on actual application.


� Perangkat keras dan lunak untuk manajemen jaringan � Network planning � Traffic routing to support load balancing � Cryptographic key distribution authorization � Configuration and fault management � Security management � Performance management � Network management’s hardware and software


� Journal of IEEE trans on networking


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TE – 092604: Sistem Komunikasi Digital TE – 092604: Digital Communication System Sks /Credits: 2 Semester: II


Mahasiswa memahami konsep, elemen, dan kinerja sistem komunikasi digital pada berbagai jenis kanal. Students comprehend the concept and elements of digital communication systems and are capable of analyzing the performance of digital communication systems in various types of communication channels.


� Mahasiswa mampu menjelaskan konsep dan elemen sistem komunikasi digital.

� Mahasiswa mampu menjelaskan kinerja sistem komunikasi digital pada berbagai jenis kanal.


Konsep probabilitas dan proses acak, konsep teori informasi dan pengkodean sumber, pemodelan sinyal dan sistem komunikasi digital, penerima optimum dan kinerja probabilitas kesalahan pada kanal AWGN, pengantar pengkodean kanal, desain sinyal untuk kanal pita terbatas, penerima optimum dan sub-optimum untuk kanal ISI, pengantar sistem komunikasi digital pada kanal fading. Concepts of probability and random processes, concepts of information theory and source coding, models of signals and systems in digital communications, optimum receiver and error rate performance of digital communication systems in AWGN channels, fundamentals of channel coding, signal design for digital communications through band-limited channels, optimum and sub-optimum receivers for channels with ISI, fundamentals of digital communications through fading channels.


� John G. Proakis & Massoud Salehi, Digital Communications, 5th ed., McGraw-Hill, 2007.

� B. Sklar, Digital Communications.


� Bernard Sklar, Digital Communications: Fundamentals and Applications, 2nd ed., Prentice Hall, 2001.

� Artikel-artikel dari jurnal ilmiah, misal: IEEE Trans. on Communication and IEEE J. on Selected Areas in Communications.

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PRASYARAT/PREREQUISITE Proses acak (bisa diambil bersamaan)

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TE – 092093 : Penulisan Ilmiah TE – 092093 : Scientific Writing Sks /Credits: 2 Semester: II


Memberikan persiapan bagi mahasiswa sebelum memulai thesis, dengan memahami identifikasi dan perumusan masalah yang akan menjadi topik thesis, memahami metodologi penelitian yang diperlukan, serta memahami teknik penulisan karya tulis ilmiah yang berupa proposal thesis, buku thesis, dan makalah ilmiah. Giving preparation for the students before getting thesis by understanding problem identification and formulation related to the thesis topic.


�� Memahami metodologi riset. �� Memahami cara menulis ilmiah untuk proposal thesis,

thesis dan makalah ilmiah. � Understanding research methodology. � Understanding technical writing for the proposal thesis,

thesis and scientific papers.


�� Memahami metodologi riset: Identifikasi masalah, studi literature, data plant, pemodelan system, diagram system, algoritma solusi, pengembangan metoda, simulasi dan analisis, justifikasi hasil.

�� Memahami format penulisan ilmiah: judul, pengarang, afiliasi, lembar pengesahan, abstrak, daftar isi, pendahuluan, penukilan, penjabaran konsep, metodologi, tabel, gambar, grafik, jadwal, analisis hasil simulasi, kesimpulan, daftar pustaka, riwayat hidup dan ucapan terima kasih.

� Understanding research methodology: Problem identification, Literature study, plant data, systems modeling, system diagram, solution algorithm, method development, simulation and analysis, result justification.

� Understanding technical writing format: Title, author, affiliation, authentication sheet, abstract, content, introduction to problem, citation, concept, methodology, data table and graphics, figure, schedule, simulation result and analysis, conclusion, references, biography and acknowledgement.

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� ITS, Buku Pedoman Akademik, ITS, 2009. �� ITS, Metodologi Penelitian, Puslit ITS, 2008. � Imam Robandi, Becoming The Winner: Riset, Menulis

Ilmiah, Publikasi Ilmiah, dan Presentasi, Penerbit ANDI, 2008.


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PRASYARAT/PREREQUISITE �� Pengenalan Bidang Riset

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TE – 092623: Keamanan Sistem Informasi dan Jaringan TE – 092623: Information System and Network Security Sks /Credits: 2 Semester: III


Mempelajari konsep-konsep keamanan dan teknik-teknik yang digunakan untuk keamanan sistem informasi dan jaringan. To study security concepts and techniques used to implement security for information system and network.


Mahasiswa mampu memahami: � Konsep-konsep keamanan pada sistem informasi dan

jaringan � Teknik-teknik kriptografi kunci rahasia dan publik � Implementasi keamanan pada berbagai lapisan dari

arsitektur jaringan The students will understand: �� The security concepts for information systems and

network � Cryptography techniques: secret key & public key � How to implement security in various layers of

architecture[


� Pengantar keamanan sistem komputer dan kriptografi � Kriptografi dengan kunci rahasia � Hash dan ringkasan pesan � Kriptografi dengan kunci publik � Distribusi dan manejemen kunci, sertifikasi sendiri � Otentikasi � Kontrol akses dan desain sistem yang aman � Kirptografi dan keamanan sistem � Perangkat lunak jahat dan worm � Keamanan routing � Keamanan lapisan IP � Keamanan sistem penamaan � Botnet: serangan dan teknik pertahanan � Pemantauan sistem dan deteksi penyusupan � Keamanan sistem nirkabel � Keamanan web

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� Computer security overview � Intro to cryptography � Secret key cryptography � Hashes and message digests � Public key cryptography � Key distribution, management, self-certification � Authentication � Access control and secure system design � Cryptography and system security � Malware & worms � Routing security � IP-layer security � Naming security � Botnets: attacks & defenses � Monitoring and intrusion detection � Wireless security � Web security


� Charlie Kaufman, Radia Perlman and Mike Speciner, Network Security: Private Communication in a Public World, 2nd Ed., Prentice Hall, 2002.


� Ross Anderson, Security Engineering: A Guide to Building Dependable Distributed Systems, 2nd ed., Wiley, 2008.

� William Stallings, Network Security Essentials: Applications and Standards, Prentice-Hall, 2000.


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TE – 092629: Jaringan Multimedia TE – 092629: Multimedia Network Sks /Credits: 2 Semester: III


Mahasiswa dapat menjelaskan arsitektur, diagram alir dan fitur multimedia dalam jaringan dan protocol komunikasi yang tersedia pada beberapa aplikasi jaringan. Student can explain the architecture, flow diagram and features of networked multimedia and also the communication protocol inside the network in providing the development of some applications in the network.


� Mahasiswa dapat menjelaskan dengan baik bagaimana system multimedia dalam jaringan dikembangkan.

� Mahasiswa dapat menjelaskan organisasi system multimedia dalam jaringan dan protokolnya.

� Mahasiswa mampu menjelaskan perfomansi system komunikasi yang tersedia pada multimedia dalam jaringan.

� Student can explain correctly how is the networked multimedia system being developed.

� Student can explain the organization of networked multimedia system and its protocol.

� Student can explain how the communication system provide the performance of networked multimedia.


� Konsep Multimedia. � Aplikasi multimedia dalam jaringan(video streaming). � Protokol komunikasi yang mendukung pengembangan

aplikasi multimedia dalam jaringan. � Multimedia pada jaringan nirkabel. � Konsep keamanan dan performansinya pada multimedia

dalam jaringan. � The concept of Multimedia. � Multimedia application in the network (video

streaming). � Communication protocol in supporting the development

of Multimedia application in the network. � Multimedia in the wireless network. � The concept of security and performance in networked

multimedia.

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Computer Networking: A Top Down Approach Featuring the Internet, 3rd edition, Jim Kurose and Keith Ross Addison-Wesley, 2005.


Networked Multimedia Embedded linux, Case study, 2001.

PRASYARAT/PREREQUISITE Jaringan Komputer dan Multimedia. Computer Network and Multimedia.

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TE – 092099 : Tesis TE – 092099 : Thesis Sks /Credits: 6 Semester: IV


Mahasiswa mampu menerapkan metode ilmiah untuk menyelesaikan permasalahan dalam bidang keilmuan teknik elektro dengan kontribusi ilmiah yang disesuaikan dengan program magister. The student can apply the methods to solve the problems in the field of electrical engineering that have the contribution related the master program.


Mahasiswa mampu menerapkan metode ilmiah untuk menyelesaikan permasalahan sesuai bidang keilmuan. The Student have the ability to apply the methods for the problem solving.


Disesuaikan dengan tema yang diambil masing-masing mahasiswa. Depend on the students topics.


Pedoman Penyusunan Thesis, Program Pascasarjana ITS, 2006.


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PRASYARAT/PREREQUISITE �� Pengenalan Bidang Riset �� Proposal Riset � Introduction to Research Fields � Research Proposal

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TE – 092621: Jaringan Nirkabel Ad-Hoc TE – 092621: Wireless Ad-Hoc Network Sks /Credits: 2 MK Pilihan/Additional optional courses


Mempelajari berbagai arsitektur dan karakteristik jaringan ad hoc dan mobile, beserta teknik-teknik akses dan routing yang diperlukan, selain aspek keamanan. To study various architecture and characteristics of mobile and ad hoc networks, as well as related access, routing techniques and security aspects.


Mahasiswa diharapkan memahami: �� Karakteristik dan arsitektur jaringan ad hoc � MAC dan unjuk kerja berkaitan dengan berbagai model

trafik � Penentuan lokasi dan teknik-teknik terkait � Konsep keamanan pada jaringan ad hoc dan protokol-

protokol terkait � Simulasi jaringan ad hoc The students will understand: � Architectures and characteristics of ad hoc network � MAC and its performances in relation to various traffic

models � Localization techniques � Security concepts and protocols � Ad hoc network simulation


�� Penyegaran system komunikasi data nirkabel �� Medium access control: pemodelan trafik, pemodelan

tunda, model antrian, multiple access, demand assigned MA, CSMA, MAC pada jaringan ad hoc

� Akses nirkabel ad hoc: jaringan Bluetooth, pencarian simpul, algoritma pembentukan Bluetooth, mode mesh pada WiMAX/802.16

� Pemrograman jaringan nirkabel: struktur informasi, socket, parameter dan control, frame terima dan frame kirim

� Protokol jaringan ad hoc: IP routing normal, pendekatan reaktif, pendekatan proaktif, pendekatan hibrida, pengelompokan, QoS, protokol jaringan sensor

� Simulasi jaringan: ns2 � Kesadaran tentang lokasi: kedekatan geografik,

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pembentukan spanner, diseminasi informasi, penentuan lokasi geografik, graf lingkaran satu acak, cakupan dan konektivitas

�� Keamanan jaringan ad hoc: teknik-teknik otentifikasi, serangan lapis fisik, protokol aplikasi keamanan, kemanan routing, keamanan broadcast, verifikasi lokasi yang aman

�� Review of wireless data communication � Medium access control: traffic modeling, delay model,

queueing models, multiple access, demand assigned MA, CSMA, MAC in adhoc network

� Ad hoc wireless access: Bluetooth networks, node discovery, Bluetooth formation algorithms, mesh mode of WiMAX/802.16

� Wireless network programming: structure of information, socket, parameters and control, receiving frames, sending frames

� Ad hoc network protocols: normal IP routing, reactive approach, proactive approach, hybrid approach, clustering, QoS, sensor network protocols

� Network simulation: ns2 � Location awareness: geographic proximity, constructing

spanner, information dissemination, geographic location determination, random unit disc graphs, coverage and connectivity

� Ad hoc network security: authentication techniques, physical layer attacks, security application protocols, routing security, broadcast security, secure location verification


�� Michel Barbeau & Evangelos Kranakis, Principles of Ad Hoc Networking, Wiley, 2007.


�� Ian F. Akyildiz and Xudong Wang, Wireless Mesh Networks, Wiley, 2009.

�� Artikel-artikel dari jurnal ilmiah: IEEE Transaction on Communications IEEE Transaction on Wireless Communication


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TE – 092627: Komputasi Bergerak TE – 092627: Mobile Computing Sks /Credits: 2 Semester: II


Memahami apa itu komputasi bergerak, ubiqitous computing, mobile computing, beberapa teknik dan aplikasinya. Students understand the concepts of mobile computing, ubiqitous computing, some of the techniques and applications.


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� Wireless Sensors: RFID Automatic Identification and Data Capture

� RFID Applications: Animal Monitoring, Assets and Vehicles Tracking

� Internet of Things: A Context-Awareness Perspective � Street, Car and Home Without Secrets: Telematics,

Intelligent Vision, What the Software Knows (Machine Learning)


� THE INTERNET OF THINGS, From RFID to the Next-Generation Pervasive Networked Systems.

� World Without Secrets: BUSINESS, CRIME, AND PRIVACY IN THE AGE OF UBIQUITOUS COMPUTING, Richard Hunter, John Wiley & Sons, Inc.

� Advances in Ubiquitous Computing: Future Paradigms and Directions.


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TE – 092624: Sistem Real-Time dan Embedded TE – 092624: Real-Time and Embedded System Sks /Credits: 2 MK Pilihan/Additional optional courses


Mahasiswa mengetahui dan mampu menjelaskan sistem real time dan embedded. Student know and able to describe concept of real time and embedded system.


� Mahasiswa mampu menjelaskan sistem embedded. � Mahasiswa mampu menjelaskan sistem real time. � Student able to describe embedded system. � Student able to describe real time system.


� Pengenalan Sistem Embedded. � Sistem Operasi Real time pada sistem embedded. � Manajemen perancangan sistem embedded. � Manajemen sumber daya dan Team work. � Basic of Embedded System. � Real time operating system in an embedded system. � Management in embedded system design.


� Richard Zurawski, Embedded Systems Handbook, Tailor and Francis, 2006.


� Arnold S. Berger, Embeded Systems Design an Introduction to Proces, Tools, and Techniques CMPBooks, 2002.


� Pemrograman computer. � Pemrograman mikrokontroller. � Komputasi Multimedia. � Soft Computing. � Computer programming. � Microcontroller programming. � Multimedia computation. � Soft Computing.

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TE – 092626: Sistem Telemedika TE – 092626: Telemedicine System Sks /Credits: 2 MK Pilihan/Additional optional courses


Mahasiswa mengetahui dan mampu menjelaskan pengembangan Telemedika beserta desain aplikasinya. Students understand and have the ability to explain the development of telemedicine and its applications.


� Mahasiswa mengetahui definisi telemedika, sejarah, cakupan dan perkembangannya, serta perkembangan telemedika di berbagai negara.

� Mahasiswa mengetahui teknologi pendukung telemedika, layanan telemedika yang ada, etika dan aspek legal telemedika.

� Mahasiswa dapat membuat desain aplikasi telemedika. � Students understand about the definition of

telemedicine, history, scope, and development of telemedicine in many countries.

� Students understand about telemedicine supporting technology, the available telemedicine services, ethics, and legal aspects of telemedicine.

� Students can develop the application design of telemedicine.


� Definisi telemedika, sejarah, cakupan dan perkembangannya.

� Teknologi pendukung telemedika. � Layanan telemedika. � Etika dan aspek legal telemedika. � Perkembangan telemedika di berbagai negara. � Desain aplikasi telemedika. � Definition of telemedicine, history, scope, and its

development. � Supporting technology of telemedicine. � Telemedicine services. � Ethics and legal aspects of telemedicine. � Development of telemedicine in many countries. � Application design of telemedicine.


� A.C. Norris, Essential of Telemedicine and Telecare, John Wiley & Sons LTD., West Sussex, 2002.

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� Rifat Latifi, CURRENT PRINCIPLES AND PRACTICES OF TELEMEDICINE AND E-HEALTH, IOS press, Amsterdam, 2008.

� G. Burg, Telemedicine and Teledermatology, Switzerland, 2003.


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TE – 092631: Sistem Manajemen Basis Data Multimedia TE – 092631: Multimedia Data Base Management System Sks /Credits: 2 MK Pilihan/Additional optional courses


Memberikan pengetahuan tentang konsep sistem manajemen basis data (DBMS) dan komponen- komponennya. Disamping itu, memberikan informasi perkembangan terkini dari DBMS seperti basis data terdistribusi, basis data bergerak, basis data spasial, basis data fuzzy, basis data stream, basis data semi terstruktur, dan basis data multimedia terdistribusi, serta peran basis data dalam datawarehouse dan penambangan data (data mining). � To give the knowledge about the concepts of database

management system (DBMS) and its components. � To give information about the most recent

development of DBMS.


� Mahasiswa mengetahui perbedaan antara sistem file dan DBMS.

� Mahasiswa mengetahui komponen- komponen penyusun DBMS.

� Mahasiswa menguasai perintah SQL untuk pendefinisian dan pengolahan data.

� Mahasiswa mampu membentuk sebuah database melalui proses normalisasi.

� Mahasiswa mampu membentuk sebuah database dari diagram E-R.

� Mahasiswa mengetahui aplikasi terkini dari DBMS seperti basis data terdistribusi, basis data bergerak, basis data spasial, basis data fuzzy, basis data stream, basis data semi terstruktur, dan basis data multimedia terdistribusi, serta peran basis data dalam datawarehouse dan penambangan data (data mining).

� Students understand the difference between file system and DBMS.

� Students understand the constructing components of DBMS.

� Students literate SQL instructions for definition and data processing.

� Students can create a database through normalization process.

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� Students can create a database from E-R diagram. � Students understand the most recent applications of

DBMS like distributed database, mobile database, spatial database, a fuzzy database, stream database, half-structured database, distributed multimedia database, and the role of database in data warehouse and data mining.


TOPIK DBMS 3. Sistem file dan DBMS, model database (hirarki, jaringan,

dan relational), diagram E-R, query relational, integrity dan security, desain database relasional (dependency, integrity, bentuk normal, normalisasi, dan dekomposisi.

4. Komponen DBMS, penyimpanan, struktur file, dan organisasi, dan indexing. Pemrosesan query, optimisasi query, manajemen transaksi, kontrol konkuren, dan sistem recovery.

TOPIK TAMBAHAN Basis data terdistribusi, basis data bergerak, basis data spasial, basis data fuzzy, basis data stream, basis data semi terstruktur, dan basis data multimedia terdistribusi, serta peran basis data dalam datawarehouse dan penambangan data (data mining). � File system and DBMS, database model (hierarchy,

network, and relational), E-R diagram, query relational, integrity and security, relational database design (dependency, integrity, normal form, normalization, and decomposition.

� Components of DBMS, storage, file structure, organization, and indexing. Query processing, query optimization, transaction management, concurrent control, and recovery system.

� Distributed database, mobile database, spatial database, a fuzzy database, stream database, half-structured database, distributed multimedia database, and the role of database in data warehouse and data mining.


� Silberschatz, Korth, Sudarshan, Database System Concept, Fifth Edition, McGraw-Hill, 2006.

� Raghu Ramakrisnan, Database Management Systems , Second Edition, McGraw-Hill, 2006.


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REFERENCES


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TE – 092632: Kecerdasan Bisnis TE – 092632: Business Intelligent Sks /Credits: 2 MK Pilihan/Additional optional courses


Memberikan pengetahuan tentang lingkup dan latar belakang penambangan data dan jenis data yang bisa ditambang. Disamping itu memberikan pemahaman tentang pola data yang bisa ditambang seperti pola kerap, asosiasi dan korelasi, klasifikasi, prediksi, klastering, dan pola pada berbagai aplikasi seperti data stream, data sekuen, data WEB. � Give knowledge about the scope and background of

bussiness intelligence, mining the data and data type to be mined.

� Give an understanding about pattern of data to be mined such as frequent pattern, asscociation, classification, prediction, clustering, and other pattern in various application such as stream data, sequence data, and WEB data.


� Mahasiswa mengetahui lingkup dan latar belakang penambangan data, jenis data dan pola data yang bisa ditambang.

� Mahasiswa mengetahui prosedur yang dilakukan untuk persiapan data seperti pembersihan data, integrasi data, transformasi data dan reduksi data.

� Mahasiswa mengetahui peran datawarehouse dan teknologi OLAP dalam penambangan data.

� Mahasiswa mengetahui pola umum seperti summarization, pola kerap, dan pola dari data stream, time series, data sekuen, data spasial, data multimedia, data teks, data WEB.

� Mahasiswa memahami teknik penambangan pola asosiasi dan korelasi.

� Mahasiswa memahami teknik klasifikasi untuk penambangan data seperti decision trees (classification tree & regression tree), analisis diskriminan, k-Nearest Neighbor, dan neural network.

� Mahasiswa memahami teknik prediksi untuk penambangan data seperti loss functions, model linear dan non-linear.

� Mahasiswa memahami metode klastering untuk

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penambangan data seperti partitional, hirarki, diskriminatif dan generatif, serta kohonen network.

� Students know the scope and background of business intelligence, mining the data and data type to be mined.

� Students know the procedure needed for data preparation such as data cleaning, data integration, data transformation and data reduction.

� Students know the role of datawarehouse dan OLAP technology in bussiness intelligence.

� Students know global pattern in business intelligence such as summarization, frequent pattern, and pattern in stream data, time series data, sequence data, spatial data, multimedia data, text data, and WEB data.

� Students understand techniques in bussiness intelligence such as asscociation and correlation.

� Students understand classification techniques such as decision trees (classification tree & regression tree), discriminant analysis, k-Nearest Neighbor, and neural network.

� Students understand prediction techniques such as loss functions, model linear and non-linear.

� Students understand prediction clustering techniques such as partitional, hierarchy, discriminative and generative, and kohonen network.


� Lingkup dan latar belakang penambangan data dan jenis data yang bisa ditambang.

� Berbagai teknik dalam penambangan data yang mencakup asosiasi dan korelasi, klasifikasi, prediksi, klastering, dan teknik untuk mendapatkan pola kerap, serta teknik untuk mendapatkan pola pada berbagai aplikasi seperti data stream, data sekuen, data WEB.

� Scope and background bussiness intelligence and data type to be mined.

� Various techniques in bussiness intelligence such as asscosiation, correllation, classification, prediction, frequent pattern, and techniques to find pattern in stream data, sequence data, and WEB data.


� Jiawei Han and Micheline Kamber, Data Mining: Concepts and Techniques, Morgan Kaufmann, Second Edition, 2006.

� Ian H.Witten and Eibe Frank, Data Mining: Practical Machine Learning Tools and Techniques, Morgan Kaufmann, Second Edition, 2005.

� Nong Ye, The handbook of data mining, Lawrence Erlbaum Associates, Inc., 2003.

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TE – 092633: Pengolahan Citra Digital TE – 092633: Digital Image Processing Sks /Credits: 2 MK Pilihan/Additional optional courses


Memberikan pengetahuan tentang citra dan video digital, mulai dari akuisisi, penyimpanan, pemampatan, pengiriman, dan pengolahannya seperti perbaikan, restorasi, serta segmentasi, deskripsi, representasi, klasifikasi, pengenalan, dan visualisasi objek dari citra atau video digital. The students understand about digital image and video, including acquisition, storage, compression, transferring, and processing like enhancement, restoration, segmentation, description, representation, classification, recognition, and visualization of digital image and video.


� Mahasiswa mengetahui lingkup pengolahan citra dan video digital.

� Mahasiswa mengetahui teknik dan metode akuisisi citra dan video digital dan peralatan akuisisinya.

� Mahasiswa memahami teknik dan metode penyimpanan, dan pemampatan citra dan video digital.

� Mahasiswa memahami teknik dan metode pengiriman citra dan video digital.

� Mahasiswa memahami teknik dan metode perbaikan, restorasi, dan representasi citra dan video digital.

� Mahasiswa memahami teknik dan metode segmentasi, deskripsi, representasi, klasifikasi, pengenalan, dan visualisasi objek dari citra atau video digital.

� Mahasiswa mengetahui penerapan satu atau kombinasi beberapa teknik atau metode untuk aplikasi tertentu.

� The students understand about digital image and digital video processing.

� The students understand about the techniques and methods of digital image and digital video acquisition and its equipments.

� The students understand about the techniques and methods of storage and compression of digital image and digital video.

� The students understand about the techniques and methods of transferring digital image and digital video.

� The students understand about the techniques and

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methods of enhancement, restoration, and representation of digital image and digital video.

� The students understand about the techniques and methods of segmentation, description, representation, classification, recognition, dan visualisation of digital image and digital video.

� The students understand about the combination of several techniques and methods in certain applications.


� Teori tentang sinyal dan transformasinya, multiresolution, wavelet, dan mathematical morphology.

� Pokok bahasan tentang citra dan video digital mencakup teknik dan metode akuisisi, perbaikan kualitasnya dan restorasi, representasi, dan pemampatan citra (lossy dan lossless). Pokok bahasan juga mencakup teknik dan metode segmentasi objek pada citra untuk proses lebih lanjut seperti registrasi, pencocokan (matching) serta pengenalan.

� Theory about signal and its transformation, multi-resolution, wavelet, and mathematical morphology.

� Techniques and methods of digital image and digital video acquisition, enhancement and restoration, representation, compression (lossy dan lossless), registration, matching, and recognition.


� Alan C. Bovik, Handbook of Image and Video Processing, Academic Press, 2000.

� Rafel C. Gonzalez, Digital Image Processing, 3rd Ed., Pearson Education, 2008.


� Rafel C. Gonzalez, Digital Image Processing using Matlab, Pearson Education, 2003.


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TE – 092636: Sistem Biometrika TE – 092636: Biometric System Sks /Credits: 2 MK Pilihan / Additional optional courses


Mahasiswa memiliki pengetahuan tentang system biometrika baik dalam system yang menggunakan single ataupun multi modal juga proses kegagalan dalam mendidentifikasi kasus dan bagaimana cara memecahkannya menggunakan ROC curve. Students have the knowledge about single modal and multi modal biometric system and failure process in identification and how to solve it using ROC curve.


� Mahasiswa mampu menjelaskan cara-cara perancangan system biometrika baik single maupun multi modal.

� Mahasiswa mampu menjelaskan proses kegagalan pada identifikasi system biometrika dan bagaimana cara mengurangi kegagalan tersebut.

� Students can explain the design methods of single modal and multi modal biometric system.

� Students can explain failure process in identification of biomeotric system and how to reduce it.


� Fenomena biometrika. � Pengidentifikasian single ataupun multi model

biomterika, untuk pengenalan. � Kegagalan pada sisitem identifikasi biometrika dan

penanggulangannya. � Pengaturan ROC curve. � Sistem Biometrika menggunakan ROC curve. � Phenomenons of biometrics. � Single modal and multi modal biometric identification

for recognition. � Failures in biometric identification and how to solve

them. � ROC curve. � Biometric system using ROC curve.


� Anil K. Jain, Patrick Flynn, Arun A. Ross, Handbook of Biometrics, Springer Verlag 2005.


� M. Negin, T. A. Chmielewski, M. Salganicoff, T. A. Camus, U. M. C. von Seelan, P. L. Venetianer, and G. G. Zhang.

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REFERENCES An Iris Biometric System for Public andPersonal Use. IEEE Computer, 33(2):70–75, February 2000.

� M. S. Nixon, J. N. Carter, D. Cunado, P. S. Huang, and S. V. Stevenage. Automatic Gait Recognition. In A. K. Jain, R. Bolle, and S. Pankanti, editors, Biometrics:Personal Identification in Networked Society, pages 231–249. Kluwer Academic Publishers, London, UK, 1999.

� L. O’Gorman. Comparing Passwords, Tokens, and Biometrics for User Authentication. Proceedings of the IEEE, 91(12):2019–2040, December 2003.

� P. J. Phillips, P. Grother, R. J. Micheals, D. M. Blackburn, E. Tabassi, and J. M. Bone. FRVT2002: Overview and Summary. http://www.frvt.org/FRVT2002, March 2003.


� Matematika Diskrit dan Teori Graph � Komputasi Lunak � Jejaring Multimedia � Interaksi Manusia Komputer � Discrete Mathematics and Graph Theory � Soft Computing � Multimedia Networks � Human Computer Interaction

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TE – 092630: Sistem Komputer GRID TE – 092630: GRID Computer System Sks /Credits: 2 MK Pilihan / Additional optional courses


Mahasiswa mampu menjelasan arsitektur dari sistem grid, sistem manajemen sumber daya pada grid, dan juga bagaimana web semantik disebarkan dalam sistem grid untuk menghasilkan keamanan dan ketersediaan pada grid. Student can explain the basic architecture of Grid system, resources management system in Grid, and also how is the semantic web being deployed in Grid system to provide the security and reliability of the Grid.


� Mahasiswa mampu menjelaskan arsitektur dasar dana fitur-fitur grid berdasarkan standar OGSA.

� Mahasiswa mampu menjelaskan bagaimana sistem manajemen sumber daya diterapan pada sistem grid untuk mendukung unjuk kerja dan keamanan pada grid.

� Student can explain the basic architecture and features of Grid based on OGSA standardization.

� Student can explain how the resources management system is applied in Grid system to support the performance and security in Grid.


� Arsitektur dasar sistem grid � Beberapa konsep dan aplikasi dalam komputasi

terdistribusi � Globus toolkit dan layanan web pada sistem grid � Web semantik pada sistem grid � Konsep keamanan dan unjuk kerja pada sistem grid � Basic architecture of Grid System � Some concepts of application in distributed computing � Globus toolkit and web service in grid system � Web Semantic grid system � Concepts of security and performance in grid system


Maozhen Li and Mark Baker, The Grid core technology, Brunel Univ, UK, Portsmouth Univ, USA, John Wiley & Sons, 2005.


Stevens, R.D, Tipney, H.J, Wroel, C, J, Oinn T.M, Senger, M, Lord, PW, et all, Syndrome using myGrid, bioinformatic,

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REFERENCES 2003.

PRASYARAT/PREREQUISITE Computer Network and Parallel Processing

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TE – 092642: Topik Khusus Telematika TE – 092642: Ad-hoc Topic on Telematics Sks /Credits: 2 MK Pilihan/Additional optional courses


�� Mahasiswa memahami teori dan konsep di bidang telematika yang diangkat sebagai topik khusus.

�� Student comprehend theories and concepts in the field of telematics selected for special topics.


�� Mahasiswa dapat mendesain, menganalisis, dan membuat critical review dari teknik atau sistem dalam bidang telematika yang diangkat sebagai topik khusus.

�� Student is skilled in designing, analyzing, and writing a critical review of systems or methods in the field of telematics selected for special topics.


� Teori dan konsep di bidang telematika yang diangkat sebagai topik khusus.

� Theories and concepts in the field of telematics selected as special topics.


� IEEE journals � Others as necessary


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TE – 092644 : E-Learning TE – 092644 : E-Learning Sks /Credits: 2 MK Pilihan/Additional optional courses


Mempelajari permasalahan dan konsep dalam sistem pembelajaran berbasis elektronik serta teknologi pendukung and implementasi manajemen pengetahuan pada pada sistem berbasis open-source dan multiplatform.

To study problems and concepts in e-learning as well as supporting technology and knowledge management implementation over open-source based and multiplatform system.


Mahasiswa mampu:

� Memahami permasalahan dan konsep-konsep pada pembelajaran berbasis elektronik

� Memahami teknologi pendukung dan menguasai perangkat lunak untuk implementasi e-learning

� Mengimplementasikan suatu aplikasi content e-learning

The students are expected to: � Understand problems and concepts in e-learning � Understand supporting technology and software to

implement e-learning � Implement a content application of e-learning


�� Pengantar e-learning �� Prinsip-prinsio teknologi jaringan dan nirkabel � Prinsip-prinsip teknologi web � Integrasi teknologi nirkabel pada sistem e-learning � Studi kasus � Moodle � Implementasi dan evaluasi sistem � Introduction to e-learning � Principles of networking and wireless tecnology � Principles of web engineering � Wireless technology integration in e-learning system

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�� Case study �� Moodle � Implementation and evaluation


� David Metcalf, mLearning: Mobile Learning and Performance in the Palm of Your Hand, HRD Press, 2006.

� Jason Cole & Helen Foster, Using Moodle: Teaching with the Popular Open Source Course Management System, O’Reilly Media, 2007.


� Fawzi Albalooshi, Virtual Education: Cases in Learning and Teaching Technologies, IRM Press, 2003.

� Mahbubur Syed, ed., Methods and Applications for Advancing Distance Education Technologies: International Issues and Solutions, Information Science Reference, 2009.

� William Rice, Moodle 1.9 E-Learning Course Development: A complete guide to successful learning using Moodle, Packt Publishing, 2008

� Artikel-artikel dari jurnal ilmiah: IEEE Trans. on Multimedia IEEE Trans. on Education


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STRUKTUR KURIKULUM BIDANG KEAHLIAN TELEMATIKA

KONSENTRASI CIO 2009-2014

No. Kode MK Code


sks Credits



2

2 TE.092605 Sistem dan Jaringan TIK ICT Systems and Network

2

3 TE.092607

Managemen Strategi Strategy Management

2

4 TE.092638

Sistem Manajemen Basis Data Terdistribusi Distributed Database Management System

2

5 TE. 092637

Manajemen Jaringan Network Management

2


1 TE.092606 Tatakelola dan Audit TIK ICT Governance and Audit

2

2 TE.092608 Manajemen Proyek Project Management

2

3 TE.092623

Keamanan Sistem Informasi & Jaringan Information System & Network Security

2

4 TE.092643

Rekayasa Internet Internet Engineering

2

5 TE.092645

E-Government E-Government

2


1 TE.092632 Kecerdasan Bisnis Business Intelligence

2

2 TE.092693 Penulisan Ilmiah Scientific Writing

2


4


1 TE.092609

Standar dan Regulasi TIK ICT Standards and Regulations

2

2 TE.092099

Tesis Thesis

6


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No. Kode MK Code


sks Credits

1 TE.092611

Knowledge Management Knowledge Management

2

2 TE.092612 Manajemen Pusat Data Data Center Management

2

3 TE.092613

Sistem Cerdas Intelligent Systems

2

4 TE.092614

E-Commerce E-Commerce

2

5 TE.092615

Performance Management Performance Management

2

6 TE.092616

Topik Khusus CIO Special Topics in CIO

2

7 TE.092626

Sistem Telemedika Telemedicine Systems

2

8 TE.092636


2

9 TE.092644

E-Learning E-Learning

2

10 TE.092646

Jaringan Komunikasi Nirkabel Wireless Communication Network

2

struktur kurikulum bidang keahlian telematika …pasca.its.ac.id/dataq/file_content/file/s2...

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