Judul dan Identitas Sekolah

Nama mahasiswa

Nim

(silakan dilengkapi)

Daftar Isi

Daftar Isi...........................................................................................................................................i

Daftar Gambar................................................................................................................................iii

Daftar Tabel....................................................................................................................................iv

Abstrak.............................................................................................................................................v

Bab 1 Pendahuluan......................................................................................................................1

1.1 Latar Belakang Masalah....................................................................................................1

1.2 Identifikasi Masalah..........................................................................................................1

1.3 Rumusan Masalah.............................................................................................................1

1.4 Ruang Lingkup Masalah...................................................................................................1

1.5 Tujuan Penelitian..............................................................................................................1

1.6 Manfaat Penelitian............................................................................................................2

Bab 2 Landasan Teori..................................................................................................................3

2.1 Tinjauan Studi...................................................................................................................3

2.2 Tinjauan Pustaka...............................................................................................................3

2.2.1 Pengembangan perangkat lunak................................................................................3

2.2.2 Estimasi Biaya dan Waktu Pengembangan Perangkat Lunak...................................4

2.2.3 Metode bla bla bla....................................................................................................5

2.2.4 Kerangka Pemikiran Penelitian.................................................................................5

2.2.5 gfhgfhgfhgfhgfh.........................................................................................................5

Bab 3 Metode Penelitian.............................................................................................................6

3.1 4yt4yt4ty4ty4ty.................................................................................................................6

3.1.1 Hg2gh1g1hg..............................................................................................................6

3.1.2 Gh1hg1hg..................................................................................................................6

3.1.3 1hg1hg1.....................................................................................................................6

3.2 Ty4ty4yt4ty4.....................................................................................................................6

3.3 Ty4ty4ty4ty4.....................................................................................................................6

3.4 Ty4ty4ty4ty4ty4ty4ty4yt4................................................................................................6

i

Bab 4 Hasil dan Pembahasan......................................................................................................7

Bab 5 Kesimpulan dan Saran......................................................................................................8

Daftar Referensi...............................................................................................................................9

ii

Daftar GambarGambar 2-1 Pemandangan...............................................................................................................4Gambar 2-2 Pinguin.........................................................................................................................4Gambar 2-3 Gambar Bunga.............................................................................................................5Gambar 2-4 deal dengan customer..................................................................................................5

iii

Daftar TabelTabel 2.1 State-of-the-art Methods pada Penelitian Software Effort Prediction.............................2Tabel 2.2 Sampel Tabel 2................................................................................................................2

iv

Abstrak

v

Bab 1 Pendahuluan

1.1 Latar Belakang Masalah

Estimasi adalah bla bla bla(Boehm & Abts, 1998)

1.2 Identifikasi Masalah

Berdasarkan uraian dari latar belakang maka didapati permasalahan sebagai berikut:

……..

1.3 Rumusan Masalah

Dari identifikasi masalah diatas, rumusan masalah penelitian ini adalah:

1. xxx

2. yyy.

3. zzz

1.4 Ruang Lingkup Masalah

1.5 Tujuan Penelitian

Tujuan penelitian ini adalah:

1

1. Untuk abc.

2. Untuk cde.

3. Untuk efg

1.6 Manfaat Penelitian

Manfaat dari penelitian ini , diharapkan

2

Bab 2 Landasan Teori

2.1 Tinjauan Studi

Related reserach

Urikan minimal 3 penelitian lain yang berhubungan dengan ( masalah-metode-hasil), serta

tunjukkan dengan hasil penelitian kita. 5 tahun terakhir

Penelitian yang terkai dengan penelitian ini adalah seperti ditunjukkan pada Tabek 2.1

Tabel 2.1 State-of-the-art Methods pada Penelitian Software Effort Prediction

Peneliti Problems Method Results

Tabel 2.2 Sampel Tabel 2

2.2 Tinjauan Pustaka

2.2.1 Pengembangan perangkat lunak

Perangkat lunak adalah perintah ( program komputer ) yang bila dieksekusi memberikan

fungsi dan unjuk kerja seperti yang diinginkan, struktur data yang memungkinkan

3

program memanipulasi informasi secara proporsional, dan dokumen yang

menggambarkan operasi dan kegunaan program (PRESSMAN, 2001).

Software effort prediction adalah blab la bla (Ali, Mariyam, & Samad, 2012)

Bla blab la bla (El & Harkouss, 2012)

Bla bla bla(Cao, Xing, & Zhao, 2012)

2.2.2 Estimasi Biaya dan Waktu Pengembangan Perangkat Lunak

2.2.2.1 Pengantar Neural NetworkGambar 2.1 menunjukkan bahwa blab la bla

Gambar 2-1 Pemandangan

Gambar 2.2 Pinguin Ngerumpi

Gambar 2-2 Pinguin

Gambar 2.3 Bunga Kuning

4

Gambar 2-3 Gambar Bunga

Gambar 2.4 2-1 fgfdgdfg

Gambar 2-4 deal dengan customer

2.2.2.2 Algoritman machine learning untuk estimasi

2.2.2.3 Apa lagi disini

5

2.2.2.4 Lagi disini

2.2.3 Metode bla bla bla

2.2.4 Kerangka Pemikiran Penelitian

2.2.5 gfhgfhgfhgfhgfh

6

Bab 3 Metode Penelitian

3.1 4yt4yt4ty4ty4ty

Dgdgdgdgdghdgd vcbnvcbvcbvc vcbnvcbvcbvcb(Wang, Liu, & Zhao, 2006)

3.1.1 Hg2gh1g1hg

3.1.2 Gh1hg1hg

3.1.3 1hg1hg1

3.2 Ty4ty4yt4ty4

3.3 Ty4ty4ty4ty4

3.4 Ty4ty4ty4ty4ty4ty4ty4yt4

7

Bab 4 Hasil dan Pembahasan

8

Bab 5

Bab 6 Kesimpulan dan Saran

9

Daftar Referensi

Ali, W., Mariyam, S., & Samad, A. (2012). Knowledge-Based Systems Intelligent Naïve Bayes-based approaches for Web proxy caching. Knowledge-Based Systems, 31, 162–175. doi:10.1016/j.knosys.2012.02.015

Boehm, B., & Abts, C. (1998). This paper is an extension of the work done by Sunita Chulani as part of her Qualifying Exam report in partial fulfillment of requirements of the Ph.D. program of the Computer Science department at USC [Chulani 1998].

Cao, F., Xing, X., & Zhao, J. (2012). Neurocomputing Learning rates of support vector machine classifier for density level detection $. Neurocomputing, 82, 84–90. doi:10.1016/j.neucom.2011.10.032

El, R. A. S., & Harkouss, A. Y. (2012). Efficient classification algorithm and a new training mode for the adaptive radial basis function neural network equaliser, (July 2011), 125–137. doi:10.1049/iet-com.2010.0814

PRESSMAN, R. S. (2001). Software Engineering : A Practioner’ s Approach.

Wang, L., Liu, Y., & Zhao, X. (2006). Particle Swarm Optimization for Fuzzy c-Means Clustering. 2006 6th World Congress on Intelligent Control and Automation, 6055–6058. doi:10.1109/WCICA.2006.1714243

10