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DAFTAR PUSTAKA
1. Faisal Y.30 Gangguan Kesehatan pada Anak Usia Sekolah.Jakarta: Yayasan
Obor Indonesia.2005:53-54.
2. Mason Robert J, Murray John F, Broaddus VC, Nadel Jay A, Martin Thomas
R, Talmadge E. et.al. Murray and Nadel's textbook of respiratory medicine,
5th ed. "CHAPTER 38 - Asthma." Elsevier.2010:1171.
3. Baratawidjaja KG, Soebaryo RW, Kartasasmita CB, Suprihati, Sundaru H,
Siregar SP, et al. Allergy and asthma, The scenario in Indonesia. In: Shaikh
WA.editor. Principles and practice of tropical allergy and asthma. Mumbai:
Vicas Medical Publishers.2006:707-36.
4. Deshpande JN, Dahat HB, Shirole CD, Pandc AH. Pulmonary function and
their correlation with anthropometric parameters in rural children. Indian J
Pediatr. 1983;50:375-8.
5. Connett GJ, Quak SH, Wong ML, Teo J, Lee BW. Lung function reference
values in Singaporean children aged 6-18 years. Thorax. 1994;49:901-5.
6. Yabanci N, Kiliç S, Simşek I. The relationship between height and arm span,
mid upper arm and waist circumferences in children.Annals of Human
Biology. 2010;37(1):70-5.
7. Tan MP, Wynn NN, Umerov M, Henderson A, Gillham A, Junejo S et
al. Arm Span to Height Ratio Is Related to Severity of Dyspnea, Reduced
Spirometry Volumes, and Right Heart Strain. Chest. 2009;135 (2):448–454.
8. Zverev Y, Chisi J. Estimating Height from Arm Span Measurement in
Malawian Children. Coll Antropol. 29(2005) 2:469-73.
9. Cincinnati Childrens.Pectus Carinatum[Online].2013 November [ Cited
2015 February] Available from:URL:
http://www.cincinnatichildrens.org/health/p/pectus-carinatum/
10. Raju PS, Prasad KV, Ramana YV, et al. Study on lung function tests
and Prediction equations in Indian male children. Indian Pediatr.
2003;40(8):705‐11.
46
11. Pellegrino R, Viegi G, Brusasco V, Crapo RO, Burgos F, Casaburi R et
al.Interpretative strategies for lung tests. Eur Respir J. 2005.26:948–68.
12. Hibbert EM, Lanigan A, Raven J, Phelan PD. Relation of armspan to height
and the prediction of lung function.Thorax.1988;43:657-59.
13. Thakare AE, VD Tajne, Sandeep M Hulke.PFT Prediction Equations in
Rural and Urban School Children: Need for Separate
Equations.RRJMHS.2013;3(1):87-92.
14. Sancho-Chust, José N.Differences in Pulmonary Function Based on Height
Prediction Obtained by Using Alternative
Measures.Respiration.2010;79(6):461-68.
15. Golshan M, Crapo OR,Amra B,Jensen LR,Golshan R.Arm span as an
independent predictor of pulmonary function parameters: validation and
reference values.Respirology (Carlton, Vic.).2007;12(3):361-6.
16. Arshad SH. Primary prevention of asthma and allergy. J Allergy Clin
Immunol 2005;116(1):3-14.
17. Bernstein JA. Asthma in handbook of allergic disorders. Philadelphia:
Lipincott Williams & Wilkins, USA, 2003,73-102.
18. Holgate ST, The bronchial epithelial origins of asthma in immunological
mechanisms in asthma and allergic disease. Robinson DS (ed), S. Karger
AG, Basel, Switzerland.2000:62-71.
19. Arif Muttaqin. Asuhan Keperawatan Klien dengan Gangguan Sistem
Pernapasan. Jakarta: Salemba Medika.2008:173-174.
20. Adkinson NF, Bochner BS, Busse WW, Holgate ST, Lemanske RF, Simons
FER.Middleton's Allergy Principles & Practice, Chapter 33: "Indoor
Allergens.". Elsevier.2008:453.
21. Homer A. Boushey Jr. M.D. David B. Corry M.D. John V. Fahy M.D.
Esteban G. Burchard M.D. Prescott G. Woodruff M.D. et al. Murray &
Nadel's Textbook of Respiratory Medicine.Elsevier.2010:1302-20.
22. Chen E, Miller GE . Stress and inflammation in exacerbations of asthma.
Brain Behav Immun.2007; 21 (8): 993–9.
47
23. Adkinson NF, Bochner BS, Busse WW, Holgate ST, Lemanske RF, Simons
FER.Middleton's Allergy Principles & Practice, Chapter:42 “Epidemiology
of Asthma and Allergic Diseases — Risk factors for Asthma".
Elsevier;2008
24. Jenkins C, Costello J, Hodge L . Systematic review of prevalence of aspirin
induced asthma and its implications for clinical practice.
BMJ.2004;328(7437):434.
25. John M. Miller, Douglas P. Zipes.Braunwald's Heart Disease: A Textbook
of Cardiovascular Medicine, 8th ed. "CHAPTER 33 - Therapy for Cardiac
Arrhythmias." Elsevier;2007
26. Maddox L, Schwartz DA. The pathophysiology of asthma. Annu.Rev.
Med. 2002;53: 477–98
27. Robert J. Mason, John F. Murray, Jay A. Nadel. Murray and Nadel's
Textbook of Respiratory Medicine, 4th Ed. Elsevier;2005:334.
28. Tippets B, Guilbert TW.Managing Asthma in Children: Part 1: Making the
Diagnosis, Assessing Severity. Consultant for Pediatricians.2008;8(5).
29. de Boer JD, Majoor CJ, van 't Veer C, Bel EH, van der Poll T.Asthma and
coagulation. Blood.2012;119(14):3236–44.
30. Finder JD, Birnkrant D, Carl J, et al. Respiratory care of the patients with
Duchenne muscular dystrophy: ATS consensus statement. Am J Respir Crit
Care Med.2004;170 (4):456– 65.
31. Wang CH, Finkel RS, Bertini ES, Schroth M, Wong B,Aloysius A,et al.
Consensus statement for standard of care in spinal muscular atrophy. J Child
Neurol.2007;22 (8):1027–49.
32. Sharma GD. "Pulmonary function testing in neuromuscular disorders.".
Pediatrics.2009;123 (4):S219–21.
33. Gafanovich M. Pulmonary Function Test in New York [Online]. 2010 June
[ Cited 2015 January] Available from:URL:
http://www.mynycdoctor.com/pulmonary-function-testing/
34. Miller M R, Hankinson J, Brusasco V, Burgos F, Casaburi R, Coates AA,
et al. Series ATS/ERS Task Force : Standardisation of Lung Function Test.
48
Eur Respir J. 2005;26:321-322.
35. Miller M R, Hakinson J, Brusasco V, Furgos F, Casaburi R, Coates A, et al.
Standarisation of Spirometri. Eur Respir J. 2005;27:323.
36. D'Angelo E, Prandi E, Milic-Emili J.Dependence of maximal flow-volume
curves on time course of preceding inspiration. J Appl Physiol 1993; 75:
1155-159.
37. Stoller JK, Basheda S, Laskowski D, Goormastic M, McCarthy K. Trial of
standard versus modified expiration to achieve end-of-test spirometry
criteria. Am Rev Respir Dis 1993; 148: 275-80.
38. Bucca CB, Carossa S, Colagrande P, Brussino L, Chiavassa G, Pera P et al.
Effect of edentulism on spirometric tests. Am J Respir Crit Care Med 2001;
163: 1018-020.
39. Eigen H, Bieler H, Grant D, Christoph K, Terrill D, Heilman DK et al.
Spirometric pulmonary function in healthy preschool children. Am J Respir
Crit Care Med 2001; 163: 619–23.
40. Miller MR, Hankinson J, Brusasco V, Burgos F, Casaburi R, Coates A et al.
European Respiratory Journal. Standardization of spirometry,2005 update.
Eur Respir J. 2005; 26:324.
41. Aurora P, Stocks J, Oliver C, Saunders C, Castle R, Chaziparasidis G et al.
Quality control forspirometry in preschoolchildren with and without lung
disease. Am J Crit Care Med 2004; 169:1152–59.
42. Hankinson JL, Bang KM. Acceptability and reproducibility criteria of the
American Thoracic Society as observed in a sample of the general
population. Am Rev Respir Dis 1991;143: 516–21.
43. Quanjer PH, Lebowitz MD, Gregg I, Miller MR, Pedersen OF. Peak
expiratory flow: conclusions andrecommendations of the European
Respiratory Society.Eur Respir J 1997; 10(24), 2s–8s.
44. Pedersen OF, Pedersen TF, Miller MR. Gas compression in lungs decreases
peak expiratory flow depending on resistance of peak flow meter. J Appl
Physiol 1997; 83: 1517–21.
49
45. Miller MR. Peak expiratory flow meter scale changesimplications for
patients and health professionals. Airways J 2004;2(2):80-2.
46. Arisman. Gizi dalam daur kehidupan : buku ajar ilmu gizi/ Arisman. Edisi
II.Jakarta: EGC. 2009;215-32.
47. Cogill B. Anthropometry indicators measurement guide. Food and nutrition
technical assistance. US agency for international.2001.
48. Maqbool A, Olsen IE. Clinical assessment in nutritional
status.Dalam:.Duggan C, Watkins JB, Walker WA, penyunting. Nutrition
in Pediatric. Ontario, BC Decker; 2008:5-13.
49. Sjarif DR, Lestari ED, Mexitalia M, Nasar SS, Ikatan Dokter Anak
Indonesia. Buku ajar nutrisi pediatrik dan penyakit metabolik Jilid I.
Jakarta : Badan Penerbit IDAI; 2011:23-35.
50. Departemen Gizi dan Kesehatan Masyarakat. Gizi dan kesehatan
masyarakat. Jakarta : Raja Grafindo Persada; 2007; 275-84.
51. Beck MA, Levander OA. Host nutritional status and its effect on a viral
pathogen. J. Infect.2000; 182:S93–6.
52. Blesser S. Nutritional assessment. Dalam: Samour PC, Helm KK, Lang CE,
penyunting. Handbook of Pediatric Nutrition. Aspen, Maryland, 1999, hlm
17-42.
53. Review Measure Arm Span [Online]. 2009 March 27 [Cited 2015 January
22]; Available from: URL:
https://www.phenxtoolkit.org/index.php?pageLink=browse.protocols&id=
20100
54. Shah, R.K., Nirvan, A.B., Patel, J.P., Patel, B., Kanani, S. Estimating Stature
From Arm Span Measurement in Gujarat Region. GCSMC J Med Sci .
2013; 2(2):30-2.
55. Zverev, Y., Chisi, J. Estimating Height from Arm Span Measurement in
Malawian Children. Coll. Antropol.. 2004; 29(2):469-473.
56. Hossain, S., Begum, J.A., Akhter, Z. Measurement of Stature from Arm-
span –An Anthropometric Study on Garo Tribal Bangladeshi Females.
Bangladesh J. Anat.. 2011; 9(1):5-9.
50
57. Chawla, M., Rajkumar, Tomar, S., Ashoka, R. The Relationship Between
Arm Span and Height in Adult Males of North Indian Punjabi Population.
Journal of Evolution of Medical and Dental Science 2013; 2(4):332-9.
58. Jamir L, Kalaivani M, Nongkynrih B, Misra P, Gupta SK. Relationship
Between Arm Span and Height Among Elderly Persons in a Rural Area of
Ballabgarh, Haryana. Indian Journal of Medical Specialities. 2013;
4(2):248-253.
59. Mohanty, S.P., Babu, S.S., Nair, N.S. The Use of Arm Span as a Predictor
of Height: A Study of South Indian Women. Journal of Orthopaedic Surgery.
2001. 9(1):19-23.
60. Sastroasmoro, S., Ismael, S. Dasar-Dasar Metodologi Penelitian Klinis.
Jakarta: Sagung Seto; 2011.
61. DeMuth, G.R., Howatt, W.F., Hill, B.M.Lung volumes.Pediatric.1965;
35:162-176.
62. Bethesda.Global Initiative for Chronic Obstructive Pulmonary Disease:
NHLBI/WHO workshop report.National Institutes of Health.publication No.
2701 [Online]. 2001 [Cited 2015 June 19] Available from: URL:
http://www.goldcopd.com
63. Alan, B., Gigi, S.Pulmonary Function Tests (PFTs) [Online]. 2005 March
5[Cited 2015 June 19] Available from:
URL:http://www.med.umich.edu/intmed/allergy/edu/syllabus/TOPICS/PF
Ts/pft.htm
64. Shamssain MH. Forced expiratory indices in normal black southern African
children aged 6-19 years. Thorax. 1991 Mar; 46(3):175-9.
65. Sachin, P., Taksande, A.B., Jivtode, M.T., Tajne, V.D., Mishra, N.V.
Prediction of Pulmonary Norms in Healthy Boys 5 – 15 years. The Journal
of Mahatma Gandhi Institute of Medical Science.2011 Mar;16(1):10.
51
Lampiran 1. Ethical Clearance
52
Lampiran 2. Izin penelitian kepada Kepala Dinas Pendidikan Kota Semarang
53
Lampiran 3. Izin penelitian dari Kepala Dinas Pendidikan Kota Semarang
54
Lampiran 4. Informed consent
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56
57
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Lampiran 5. Kuesioner ISAAC
1. Nama :…………………………………………………………..
2. Umur : …………tahun …………bulan3. Jenis kelamin: Laki-laki/perempuan4. Nama sekolah :
…………………………………………………………..5. Alamat sekolah :
…………………………………………………………..6. Tinggi badan : ……………..kg7. Berat Badan : ……………..cm8. Berat badan lahir : ……………...gram9. Alamat rumah : (mohon diisi lengkap)
Jalan : ………………………………………………No rumah : ………………………………………………RT/RW : ………………………………………………Kelurahan : ………………………………………………Kecamatan : ………………………………………………
10. No telp :……………………………………………………………..
11. No HP :…………………………………………………………….,
12. Umur ibu : ……tahun umur ayah : ………tahun13. Pekerjaan ibu: ………………. pekerjaan ayah : ……………14. Pendidikan ibu : ……………….pendidikan ayah: ……………15. Penghasilan : Rp …………..16. Jumlah bersaudara yang lebih tua : [ ] [ ]17. Jumlah saudara yang lebih muda : [ ] [ ]18. Lama tinggal di rumah sekarang : [ ] [ ] tahun19. Yang menjawab/mengisi angket ini adalah
1. [ ] ibu kandung 2. [ ] ayah kandung3. [ ] wali perempuan 4. [ ] wali laki-laki5. [ ] lainnya, jelaskan:__________________________
20. Pendidikan tertinggi yang mengisi angket ini adalah:1. [ ] tidak sekolah 2. [ ] SD3. [ ] SMP 4. [ ] SMA5. [ ] Akademi 5. [ ] Sarjana
DATA KELUARGA
DATA ANAK
59
1. Apakah anda pernah mengalami mengi, sesak nafas berbunyi ngik-ngik, ataumencicit/berbunyi menciut/bengek?
□ Ya □ TidakBila jawaban anda ‘TIDAK’ atau ‘TIDAK TAHU’ lanjutkan ke pertanyaan no.6
2. Apakah anda pernah mengalami mengi, sesak nafas berbunyi ngik-ngik, ataumencicit/berbunyi menciut/bengek tersebut dalam 12 bulan terakhir?
□ Ya □TidakBila jawaban anda ‘TIDAK’ atau‘TIDAK TAHU’ lanjutkan ke pertanyaan no. 6
3. Dalam 12 bulan terakhir berapa kali anda mendapat serangan mengi, nafasberbunyi ngik-ngik, atau mencicit/bengek? (pilih satu jawaban yang tepat)
□ tidak pernah □ 1-3 kali□ lebih dari 12 kali □ 4-12 kali
4. Dalam 12 bulan terakhir rata-rata seberapa sering anda mendapatserangan mengi, nafas sesak berbunyi ngik-ngik atau menciut/bengek yangmenyebabkannya terbangun atau mengganggunya tidur pada malam hari□ Tidak pernah terbangun □ Tidak sampai 1 kali dalamseminggu□ Satu kali seminggu atau lebih
5. Dalam 12 bulan terakhir ini adakah anda mendapat serangan mengi, sesaknafas berbunyi ngik-ngik atau menciut/bengek sehingga dia sulit untuk bicara,atau bicara hanya bisa satu atau dua kata sewaktu bernafas?
□ Ya □ Tidak
6. Apakah anda pernah menderita asma?□ Ya □ Tidak
7. Dalam 12 bulan terakhir, apakah timbul mengi, bunyi ngik-ngik atau bengekpada anda saat atau setelah olahraga atau aktivitas yang melelahkan ?
□ Ya □Tidak
8. Dalam 12 bulan terakhir apakah anda mengalami batuk kering pada saatmalam hari namun tidak sedang flu, demam atau sakit menelan
□ Ya □ Tidak
8. Apakah ibu atau ayah anda juga menderita sesak nafas berbunyi/isak/asma?□ Ya □ Tidak
Kalau Ya, siapa ……………………
B. RIWAYAT KELUARGA
A. PERTANYAAN UNTUK PERNAFASAN DAN NAFAS BUNYINGIK-NGIK
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9. Apakah ibu atau ayah anda mempunyai masalah bersin atau hidung mampat(tersumbat) diluar sakit flu (tanpa panas) yang berulang?
□ Ya □ TidakKalau Ya, siapa …………………….
10. Apakah ibu atau ayah menderita kulit merah-merah, gatal, pada lipat paha,siku depan lutut, di pantat, sekeliling leher, telinga atau mata yang hilangtimbul?
□ Ya □ TidakKalau Ya, siapa ………………
11. Apakah anda sekamar dengan orang lain (dewasa atau anak-anak)Saat ini Sampai usia1 tahun
Ya □ □
Tidak □ □12. Binatang manakah dibawah ini yang menjadi peliharaan di rumah anda
Saat ini Sampai usia1 tahunAnjing □ □Kucing □ □Binatang berbulu □ □Burung □ □Dan lainnya □ □
13. Adakah anda kontak dengan binatang di luar runah dalam 1 minggu ini?Saat ini Sampai usia1 tahun
Anjing □ □Kucing □ □Hewan ternak □ □Binatang lainnya □ □
14. Apakah ibu atau wali perempuan anda merokok?Saat ini sampai usia 1 tahun selama kehamilan
Ya □ □ □Tidak □ □ □
15. Adakah ada orang lain yang merokok dirumah anda?□ Ya □ Tidak
17. Apakah ada orang di rumah anda yang merokok?□ Ya □ Tidak
Jika iya berapa batang rokok sehari? (misalnya ibu merokok 4 batang,ayah 5 batang yang lainnya 3 batang total =12 batang)
C. FAKTORLINGKUNGAN
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Kurang dari 10 batang □10-20 batang □Lebih dari 20 □
18. Bahan bakar apa yang digunakan untuk memasak?Sekarang Sampai berusia 1 tahun
Listrik □ □Gas □ □Batu bara □ □Kayu □ □Lainnya □ □
19. Apakah dirumah anda menggunakan ACSekarang Sampai berusia 1 tahun
Ya □ □Tidak □ □
20. Apakah dirumah anda terdapat loteng atau dinding yang rusak?Sekarang Sampai berusia 1 tahun
Ya □ □Tidak □ □
21. Apakah dirumah anda terdapat loteng atau dinding yang berjamurSekarang Sampai berusia 1 tahun
Ya □ □Tidak □ □
22. Apakah jenis lantai yang dugunakan dikamar anak anda?Sekarang Sampai anak berusia 1 tahun
Menggunakan karpet □ □Tidak menggunakan karpet □ □Lantai □ □
23. Apakah jenis jendela yang ada dikamar tidur anak anda?Sekarang Sampai anak berusia 1 tahun
Jendela kaca □ □Jendela tambahan □ □Tertutup/kaca □ □Tanpa jendela □ □
24. Apakah jenis bantal yang anda gunakan?Sekarang Sampai anak berusia 1 tahun
Busa □ □Serat sintetis □ □Bulu □ □lainnya □ □Tidak menggunakan bantal □ □
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25. Apakah jenis tempat tidur yang anda digunakan?Sekarang Sampai berusia 1 tahun
Kapas Sintetis □ □Bulu Kapas □ □Selimut □ □Material lainnya □ □
26. Apakah anda membuat perubahan di rumah anda karena anda menderita asmaatau allergi?Meniadakan hewan peliharaan ya □ jika ya pada umur berapa ........tahun Tidak □Berhenti atau mengurangi rokok ya □ jika ya pada umur berapa ........tahun Tidak □Mengganti bantal ya □ jika ya pada umur berapa ........tahun Tidak □Mengganti tempat tidur ya □ jika ya pada umur berapa ........tahun Tidak □Mengganti karpet ya □ jika ya pada umur berapa ........tahun Tidak □Perubahan lainnya ya □ jika ya pada umur berapa ........tahun
Jika iya gambarkan Tidak □
27. Bagaimana anda menggambarkan lingkungan sekeliling rumah anda?Sekarang
Sampai berusia 1 tahunPedesaan, dengan lingkungan □ □terbuka atau ladang disekitarnya
Pinggir kota, dengan banyak □ □taman dan perkebunan
Pinggir kota, dengan sedikit taman □ □Kota dengan tidak ada taman □ □
28. Apakah nama jalan rumah anda?................................................
29. Berapa kode pos rumah anda................................................
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Lampiran 6. Spreadsheet data
Nama Jenis Kelamin Usia TB BB RT FVC FEV1 FEV1/FVC PEF
Fabina Cahyati P 11 142 32.4 148.6 1.97 1.68 85.279% 4.23
Naellatul Munawati P 8 135 42.6 135.9 2.53 2.45 96.84% 3.63
Maharani Eksanti P 7 136.8 34.4 137.2 1.84 1.61 87.50% 2.69
Adelia Agustin P 8 121.3 22.2 124.1 1.15 1.01 87.83% 1.64
Alimatur Rosyidah P 9 133.5 39.4 133.5 1.49 1.3 87.25% 2.55
Evi Ramana P 9 124.5 21.8 122.5 1.5 1.34 89.33% 2.16
Silvia Nabila P 8 125.3 30.4 126.9 1.22 1.17 95.90% 2.67
Putri Hotimah P 12 150.6 62.4 155.7 2.15 2.1 97.67% 4.52
Aulia Septia P 9 137 29.6 135 1.4 1.38 98.57% 4.83
Linda Dewi P 11 135.8 38 134.1 1.72 1.42 82.558% 2.98
Cinta Maria P 10 137.1 33 137.2 1.28 1.26 98.44% 2.86
Clara Ramadhani P 9 128.4 31.8 128.2 1.39 1.37 98.56% 2.96
Ataka Dewi P 6 123.2 23.4 121.5 1.22 1.12 91.80% 2.3
Annisa Yofa P 7 123.4 20.6 115.2 2.39 1.49 62.34% 2.28
Adiwani Muslim L 10 126.3 24.2 124.7 1.35 1.33 98.52% 3.79
Aditya Oktavianto L 11 150.8 37.2 152.3 2.53 2.39 94.47% 3.68
Muhammad Herlambang L 10 135.4 29.6 136.5 2.8 2.49 88.93% 3.23
Rizal Nandar L 12 133.5 25.2 135.5 1.45 1.36 93.79% 2.91
Resa Semono L 11 146.6 77.4 154.3 2.89 1.89 65.398% 3.07
Erlangga Fajar L 10 132.6 27.2 134.1 1.61 1.56 96.89% 4.19
Yusuf Rasiqin L 10 133.9 26.2 132.5 1.46 1.29 88.36% 3.26
Safrilia Cantika P 8 134.2 30.2 132.7 1.37 1.22 89.05% 2.97
64
Odi Putrawan L 9 134.5 30.6 132 2.32 2.13 91.81% 4.39
Gading Nurfaiz L 8 124.3 20.6 126.8 1.38 1.34 97.10% 2.53
Salva Chairunisa P 8 124.1 23.2 125.2 1.33 1.3 97.74% 2.6
Nakula Putra L 8 121.9 24 121.2 1.47 1.23 83.67% 2.46
Surya Pratama L 10 140.5 42.2 141.1 2.05 1.75 85.37% 3.98
Bagus Putra L 11 139.4 32.6 141 1.99 1.75 87.94% 3.18
Angelica Yohana P 10 138.2 27.6 143.3 1.42 1.37 96.48% 2.86
Wahyu Aditya L 11 135 42.4 140.7 1.58 1.19 75.32% 3.01
Rata-rata 9.366667 133.5033 32.74667 134.3167 1.741667 1.543 89.69% 3.147
Standar Deviasi 1.516209 7.924665 11.96672 9.839075 0.492234 0.399092 8.98% 0.756475
Median 9.5 134.35 30.3 134.1 1.495 1.37 90.57% 2.975
Minimum 6 121.3 20.6 115.2 1.15 1.01 62.34% 1.64
Maximum 12 150.8 77.4 155.7 2.89 2.49 98.57% 4.83
65
Lampiran 7. Hasil analisis SPSS
Prevalensi dan Insidensi Asma
Prevalensi
Frequency Percent Valid Percent
Cumulative
Percent
Valid tidak 311 89.1 89.1 89.1
ya 38 10.9 10.9 100.0
Total 349 100.0 100.0
Insidensi
Frequency Percent Valid Percent
Cumulative
Percent
Valid tidak 317 90.8 90.8 90.8
ya 32 9.2 9.2 100.0
Total 349 100.0 100.0
Jenis Kelamin
Sex
Frequency Percent Valid Percent
Cumulative
Percent
Valid Male 13 43.3 43.3 43.3
Female 17 56.7 56.7 100.0
Total 30 100.0 100.0
Usia
Statistics
Age
N Valid 30
Missing 0
Mean 9.37
Std. Deviation 1.542
66
Age
Frequency Percent Valid Percent
Cumulative
Percent
Valid 6 1 3.3 3.3 3.3
7 2 6.7 6.7 10.0
8 7 23.3 23.3 33.3
9 5 16.7 16.7 50.0
10 7 23.3 23.3 73.3
11 6 20.0 20.0 93.3
12 2 6.7 6.7 100.0
Total 30 100.0 100.0
Data antropometri seluruh responden
Statistics
Height Weight ArmSpan
N Valid 341 341 341
Missing 0 0 0
Mean 131.8305 31.1290 131.9933
Std. Deviation 10.52234 10.55289 11.60137
Data tes fungsi paru subjek penelitian
Statistics
FVC FEV1 FEV1perFVC PEF
N Valid 30 30 30 30
Missing 0 0 0 0
Mean 1.7417 1.5430 .8969041 3.1470
Median 1.4950 1.3700 .9056831 2.9750
Std. Deviation .50065 .40591 .09138466 .76941
Minimum 1.15 1.01 .62343 1.64
Maximum 2.89 2.49 .98571 4.83
67
Uji Normalitas Variabel
Descriptives
Statistic Std. Error
FVC Mean 1.7417 .09141
95% Confidence Interval for
Mean
Lower Bound 1.5547
Upper Bound 1.9286
5% Trimmed Mean 1.7111
Median 1.4950
Variance .251
Std. Deviation .50065
Minimum 1.15
Maximum 2.89
Range 1.74
Interquartile Range .70
Skewness .952 .427
Kurtosis -.252 .833
FEV1 Mean 1.5430 .07411
95% Confidence Interval for
Mean
Lower Bound 1.3914
Upper Bound 1.6946
5% Trimmed Mean 1.5187
Median 1.3700
Variance .165
Std. Deviation .40591
Minimum 1.01
Maximum 2.49
Range 1.48
Interquartile Range .47
Skewness 1.180 .427
Kurtosis .450 .833
FEV1perFVC Mean .8969041 .01668448
95% Confidence Interval for
Mean
Lower Bound .8627805
Upper Bound .9310277
5% Trimmed Mean .9065993
Median .9056831
Variance .008
Std. Deviation .09138466
68
Minimum .62343
Maximum .98571
Range .36228
Interquartile Range .10168
Skewness -1.591 .427
Kurtosis 2.747 .833
PEF Mean 3.1470 .14047
95% Confidence Interval for
Mean
Lower Bound 2.8597
Upper Bound 3.4343
5% Trimmed Mean 3.1333
Median 2.9750
Variance .592
Std. Deviation .76941
Minimum 1.64
Maximum 4.83
Range 3.19
Interquartile Range 1.12
Skewness .481 .427
Kurtosis -.287 .833
ArmSpan Mean 134.3167 1.82707
95% Confidence Interval for
Mean
Lower Bound 130.5799
Upper Bound 138.0534
5% Trimmed Mean 134.1056
Median 134.1000
Variance 100.146
Std. Deviation 10.00728
Minimum 115.20
Maximum 155.70
Range 40.50
Interquartile Range 14.37
Skewness .418 .427
Kurtosis -.077 .833
Height Mean 133.5033 1.47157
95% Confidence Interval for
Mean
Lower Bound 130.4936
Upper Bound 136.5130
5% Trimmed Mean 133.2130
Median 134.3500
69
Variance 64.966
Std. Deviation 8.06014
Minimum 121.30
Maximum 150.80
Range 29.50
Interquartile Range 12.28
Skewness .348 .427
Kurtosis -.266 .833
Tests of Normality
Kolmogorov-Smirnova Shapiro-Wilk
Statistic df Sig. Statistic df Sig.
FVC .219 30 .001 .871 30 .002
FEV1 .223 30 .001 .855 30 .001
FEV1perFVC .166 30 .035 .827 30 .000
PEF .142 30 .128 .960 30 .309
ArmSpan .120 30 .200* .966 30 .438
Height .133 30 .185 .938 30 .082
*. This is a lower bound of the true significance.
a. Lilliefors Significance Correction
Hasil Transformasi
Tests of Normality
Kolmogorov-Smirnova Shapiro-Wilk
Statistic df Sig. Statistic df Sig.
tran_FVC .197 30 .004 .912 30 .017
tran_FEV1 .200 30 .004 .913 30 .018
tran_FEV1perFVC .189 30 .008 .782 30 .000
tran_PEF .097 30 .200* .976 30 .703
*. This is a lower bound of the true significance.
a. Lilliefors Significance Correction
70
Uji Spearman
Correlations
Age Weight ArmSpan Height FVC FEV1 FEV1perFVC PEF
Spearman's rho Age Correlation Coefficient 1.000 .491** .711** .679** .390* .387* -.058 .582**
Sig. (2-tailed) . .006 .000 .000 .033 .034 .761 .001
N 30 30 30 30 30 30 30 30
Weight Correlation Coefficient .491** 1.000 .779** .775** .515** .456* -.176 .525**
Sig. (2-tailed) .006 . .000 .000 .004 .011 .352 .003
N 30 30 30 30 30 30 30 30
ArmSpan Correlation Coefficient .711** .779** 1.000 .949** .529** .580** -.063 .607**
Sig. (2-tailed) .000 .000 . .000 .003 .001 .742 .000
N 30 30 30 30 30 30 30 30
Height Correlation Coefficient .679** .775** .949** 1.000 .573** .646** -.053 .681**
Sig. (2-tailed) .000 .000 .000 . .001 .000 .783 .000
N 30 30 30 30 30 30 30 30
FVC Correlation Coefficient .390* .515** .529** .573** 1.000 .869** -.424* .467**
Sig. (2-tailed) .033 .004 .003 .001 . .000 .020 .009
N 30 30 30 30 30 30 30 30
FEV1 Correlation Coefficient .387* .456* .580** .646** .869** 1.000 -.017 .618**
Sig. (2-tailed) .034 .011 .001 .000 .000 . .927 .000
N 30 30 30 30 30 30 30 30
71
Age Weight ArmSpan Height FVC FEV1 FEV1perFVC PEF
FEV1perFVC Correlation Coefficient -.058 -.176 -.063 -.053 -.424* -.017 1.000 .225
Sig. (2-tailed) .761 .352 .742 .783 .020 .927 . .232
N 30 30 30 30 30 30 30 30
PEF Correlation Coefficient .582** .525** .607** .681** .467** .618** .225 1.000
Sig. (2-tailed) .001 .003 .000 .000 .009 .000 .232 .
N 30 30 30 30 30 30 30 30
**. Correlation is significant at the 0.01 level (2-tailed).
*. Correlation is significant at the 0.05 level (2-tailed).
72
Uji regresi linier
FVC dari usiaModel Summary
Model R R Square
Adjusted R
Square
Std. Error of the
Estimate
1 .286a .082 .049 .48824
a. Predictors: (Constant), Age
Coefficientsa
Model
Unstandardized Coefficients
Standardized
Coefficients
t Sig.B Std. Error Beta
1 (Constant) .872 .558 1.564 .129
Age .093 .059 .286 1.579 .126
a. Dependent Variable: FVC
FVC dari jenis kelamin
Model Summary
Model R R Square
Adjusted R
Square
Std. Error of the
Estimate
1 .284a .081 .048 .48853
a. Predictors: (Constant), Sex
Coefficientsa
Model
Unstandardized Coefficients
Standardized
Coefficients
t Sig.B Std. Error Beta
1 (Constant) 2.184 .296 7.383 .000
Sex -.282 .180 -.284 -1.567 .128
a. Dependent Variable: FVC
73
FVC dari tinggi badanModel Summary
Model R R Square
Adjusted R
Square
Std. Error of the
Estimate
1 .580a .336 .313 .41508
a. Predictors: (Constant), Height
Coefficientsa
Model
Unstandardized Coefficients
Standardized
Coefficients
t Sig.B Std. Error Beta
1 (Constant) -3.067 1.279 -2.398 .023
Height .036 .010 .580 3.767 .001
a. Dependent Variable: FVC
FVC dari berat badan
Model Summary
Model R R Square
Adjusted R
Square
Std. Error of the
Estimate
1 .563a .317 .293 .42101
a. Predictors: (Constant), Weight
Coefficientsa
Model
Unstandardized Coefficients
Standardized
Coefficients
t Sig.B Std. Error Beta
1 (Constant) .983 .224 4.389 .000
Weight .023 .006 .563 3.607 .001
a. Dependent Variable: FVC
74
FVC dari rentang tangan
Model Summary
Model R R Square
Adjusted R
Square
Std. Error of the
Estimate
1 .509a .259 .232 .43867
a. Predictors: (Constant), ArmSpan
Coefficientsa
Model
Unstandardized Coefficients
Standardized
Coefficients
t Sig.B Std. Error Beta
1 (Constant) -1.676 1.096 -1.529 .137
ArmSpan .025 .008 .509 3.126 .004
a. Dependent Variable: FVC
FEV1 dari usiaModel Summary
Model R R Square
Adjusted R
Square
Std. Error of the
Estimate
1 .320a .103 .071 .39132
a. Predictors: (Constant), Age
Coefficientsa
Model
Unstandardized Coefficients
Standardized
Coefficients
t Sig.B Std. Error Beta
1 (Constant) .753 .447 1.684 .103
Age .084 .047 .320 1.790 .084
a. Dependent Variable: FEV1
75
FEV1 dari jenis kelaminModel Summary
Model R R Square
Adjusted R
Square
Std. Error of the
Estimate
1 .307a .094 .062 .39316
a. Predictors: (Constant), Sex
Coefficientsa
Model
Unstandardized Coefficients
Standardized
Coefficients
t Sig.B Std. Error Beta
1 (Constant) 1.930 .238 8.110 .000
Sex -.247 .145 -.307 -1.706 .099
a. Dependent Variable: FEV1
FEV1 dari tinggi badan
Model Summary
Model R R Square
Adjusted R
Square
Std. Error of the
Estimate
1 .627a .393 .371 .32196
a. Predictors: (Constant), Height
Coefficientsa
Model
Unstandardized Coefficients
Standardized
Coefficients
t Sig.B Std. Error Beta
1 (Constant) -2.670 .992 -2.691 .012
Height .032 .007 .627 4.254 .000
a. Dependent Variable: FEV1
76
FEV1 dari berat badanModel Summary
Model R R Square
Adjusted R
Square
Std. Error of the
Estimate
1 .452a .204 .176 .36855
a. Predictors: (Constant), Weight
Coefficientsa
Model
Unstandardized Coefficients
Standardized
Coefficients
t Sig.B Std. Error Beta
1 (Constant) 1.050 .196 5.354 .000
Weight .015 .006 .452 2.679 .012
a. Dependent Variable: FEV1
FEV1 dari rentang tanganModel Summary
Model R R Square
Adjusted R
Square
Std. Error of the
Estimate
1 .555a .308 .284 .34357
a. Predictors: (Constant), ArmSpan
Coefficientsa
Model
Unstandardized Coefficients
Standardized
Coefficients
t Sig.B Std. Error Beta
1 (Constant) -1.482 .859 -1.726 .095
ArmSpan .023 .006 .555 3.533 .001
a. Dependent Variable: FEV1
77
FEV1% dari usiaModel Summary
Model R R Square
Adjusted R
Square
Std. Error of the
Estimate
1 .001a .000 -.036 .09300214
a. Predictors: (Constant), Age
Coefficientsa
Model
Unstandardized Coefficients
Standardized
Coefficients
t Sig.B Std. Error Beta
1 (Constant) .898 .106 8.447 .000
Age -7.663E-5 .011 -.001 -.007 .995
a. Dependent Variable: FEV1perFVC
FEV1% dari jenis kelaminModel Summary
Model R R Square
Adjusted R
Square
Std. Error of the
Estimate
1 .021a .000 -.035 .09298251
a. Predictors: (Constant), Sex
Coefficientsa
Model
Unstandardized Coefficients
Standardized
Coefficients
t Sig.B Std. Error Beta
1 (Constant) .903 .056 16.037 .000
Sex -.004 .034 -.021 -.109 .914
a. Dependent Variable: FEV1perFVC
78
FEV1% dari tinggi badanModel Summary
Model R R Square
Adjusted R
Square
Std. Error of the
Estimate
1 .036a .001 -.034 .09294116
a. Predictors: (Constant), Height
Coefficientsa
Model
Unstandardized Coefficients
Standardized
Coefficients
t Sig.B Std. Error Beta
1 (Constant) .952 .286 3.324 .002
Height .000 .002 -.036 -.192 .849
a. Dependent Variable: FEV1perFVC
FEV1% dari berat badan
Model Summary
Model R R Square
Adjusted R
Square
Std. Error of the
Estimate
1 .307a .094 .062 .08849892
a. Predictors: (Constant), Weight
Coefficientsa
Model
Unstandardized Coefficients
Standardized
Coefficients
t Sig.B Std. Error Beta
1 (Constant) .972 .047 20.658 .000
Weight -.002 .001 -.307 -1.709 .098
a. Dependent Variable: FEV1perFVC
79
FEV1% dari rentang tanganModel Summary
Model R R Square
Adjusted R
Square
Std. Error of the
Estimate
1 .015a .000 -.035 .09299159
a. Predictors: (Constant), ArmSpan
Coefficientsa
Model
Unstandardized Coefficients
Standardized
Coefficients
t Sig.B Std. Error Beta
1 (Constant) .915 .232 3.939 .000
ArmSpan .000 .002 -.015 -.080 .937
a. Dependent Variable: FEV1perFVC
PEFR dari usia
Model Summary
Model R R Square
Adjusted R
Square
Std. Error of the
Estimate
1 .488a .238 .211 .68332
a. Predictors: (Constant), Age
Coefficientsa
Model
Unstandardized Coefficients
Standardized
Coefficients
t Sig.B Std. Error Beta
1 (Constant) .865 .781 1.108 .277
Age .244 .082 .488 2.961 .006
a. Dependent Variable: PEF
80
PEFR dari jenis kelamin
Model Summary
Model R R Square
Adjusted R
Square
Std. Error of the
Estimate
1 .233a .054 .020 .76150
a. Predictors: (Constant), Sex
Coefficientsa
Model
Unstandardized Coefficients
Standardized
Coefficients
t Sig.B Std. Error Beta
1 (Constant) 3.704 .461 8.034 .000
Sex -.356 .281 -.233 -1.267 .216
a. Dependent Variable: PEF
PEFR dari tinggi badanModel Summary
Model R R Square
Adjusted R
Square
Std. Error of the
Estimate
1 .630a .396 .375 .60841
a. Predictors: (Constant), Height
Coefficientsa
Model
Unstandardized Coefficients
Standardized
Coefficients
t Sig.B Std. Error Beta
1 (Constant) -4.875 1.875 -2.601 .015
Height .060 .014 .630 4.287 .000
a. Dependent Variable: PEF
81
PEFR dari berat badan
Model Summary
Model R R Square
Adjusted R
Square
Std. Error of the
Estimate
1 .344a .119 .087 .73511
a. Predictors: (Constant), Weight
Coefficientsa
Model
Unstandardized Coefficients
Standardized
Coefficients
t Sig.B Std. Error Beta
1 (Constant) 2.434 .391 6.225 .000
Weight .022 .011 .344 1.941 .062
a. Dependent Variable: PEF
PEFR dari rentang tangan
Model Summary
Model R R Square
Adjusted R
Square
Std. Error of the
Estimate
1 .556a .309 .284 .65099
a. Predictors: (Constant), ArmSpan
Coefficientsa
Model
Unstandardized Coefficients
Standardized
Coefficients
t Sig.B Std. Error Beta
1 (Constant) -2.592 1.627 -1.593 .122
ArmSpan .043 .012 .556 3.537 .001
a. Dependent Variable: PEF
82
Lampiran 8. Foto-foto dokumentasi
83
84
Lampiran 9. Biodata Mahasiswa
BIODATA MAHASISWA
Identitas
Nama : Hanif Prasetyo Kusumo
NIM : 22010111130127
Tempat/tanggal lahir : Jakarta, 22 September 1992
Jenis kelamin : Pria
Alamat : Jl. Benda I no.25, Kav.DPR, Ciganjur, Jakarta Selatan
Nomor Telepon : 021-78882481
Nomor HP : 081218558923
E-mail : haseoxth92@gmail.com
Riwayat Pendidikan Formal
1. SD : SDI Al-Azhar 6 Jakapermai Lulus tahun: 2005
2. SMP : Global Prestasi Junior High School Lulus tahun: 2008
3. SMA : Global Prestasi Senior High School Lulus tahun: 2011
4. FK UNDIP : Masuk tahun : 2011
Keanggotaan Organisasi
1. Staff of External Division Asian Medical Student AssociationDiponegoro University Tahun 2012 s/d 2013
2. Chief of Publication and Promotion Division Asian Medical StudentAssociation Diponegoro University Tahun 2013 s/d 2014
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