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BAB V. KESIMPULAN DAN SARAN

B. Saran

1. Pada penelitian korelasi selanjutnya sebaiknya dilakukan penyocokan hasil wawancara dengan rekam medik responden, terutama mengenai riwayat pengobatan responden. Obat penurun kolesterol dapat mempengaruhi kadar profil lipid.

2. Pada penelitian korelasi selanjutnya sebaiknya dilakukan penentuan rentang usia dan durasi lama menyandang penyakit diabetes melitus tipe 2. Kedua hal tersebut berpengaruh pada kondisi patofisiologis responden. Rentang usia yang digunakan sebaiknya mencakup 1 kelompok usia saja. Durasi lama menyandang penyakit diabetes melitus tipe 2 sebaiknya ditetapkan durasi yang lebih singkat. 3. Pada penelitian korelasi selanjutnya sebaiknya digunakan kelompok kontrol yaitu responden tanpa diabetes melitus tipe 2, sehingga dapat digunakan sebagai pembanding terhadap korelasi yang diperoleh antara responden dengan diabetes melitus tipe 2 dan responden tanpa diabetes melitus tipe 2.

DAFTAR PUSTAKA

Abbasi, M.A., Hafeezullah, Shah, N.A., Abro, A., and Sammo, J.A., 2007, Non High Density Lipoprotein Cholesterol in Type 2 Diabetes Mellitus, Pak J Physiol, 3(2), 445-456.

Adam, J.M.F., 2006, Obesitas dan Sindroma Metabolik, Bandung, pp. 1-8.

Ahmed, D., 2005, Coronary Risk and Dyslipidemia in Type 2 Diabetic Patients, Sri B.M.Patil Medical College, Bijapur, 23,35.

Ali, M., Wonnerth, A., Huber, K., and Wojita, 2012, Cardiovascular Disease Risk Reduction by Raising HDL Cholesterol--Current Therapies and Future Opportunities, Br J Pharmacol, 167(6), 1177.

American Diabetes Association, 2013, Diagnosis and Classification of Diabetes Mellitus, Diabetes Care, 36(1), 567-574.

American Heart Association, 2012, What Your Cholesterol Level Mean, http://www.heart.org/HEARTORG/Conditions/Cholesterol/AboutCholest erol/What-Your-Cholesterol-Levels-Mean_UCM_305562_Article.jsp, diakses pada tanggal 18 April 2013.

American Heart Association, 2013, Cardiovascular Disease and Diabetes, http://www.heart.org/HEARTORG/Conditions/Diabetes/WhyDiabetesM atters/Cardiovascular-Disease-Diabetes_UCM_313865_Article.jsp, diakses pada tanggal 20 April 2013.

Anwar, T.B., 2004, Faktor Risiko Penyakit Jantung Koroner, e-USU Respiratory, http://librarny.usu.ac.id/download/fk/gizi-bahari4.pdf, diakses pada tanggal 23 Februari 2013.

Aryal, M., Poudel, A., Satyal, B., Gyawali, P., Pokhera,l B.R., Raut, B.K., et al., Koju R8., 2010, Evaluation of non-HDL-c and total cholesterol: HDL-c Ratio as Cumulative Marker of Cardiovascular Risk in Diabetes Mellitus,

Kathmandu University Medical Journal, 9(32), 398-404.

Assist, 2011, Harpenden Skinfold Calipers, http : // www. assist. co.uk/_brand_/_harpenden_, diakses pada tanggal 2 januari 2014. Australian Government, Department of Health and Ageing, 2010, The Australian

Type 2 Diabetes Risk Assessment Tool, Australia Gonverment, pp.1-2. Bhardwaj, S., Misra, A., Misra, R., Goel, K., Bhatt, S.P., Rastogi, K., et al, 2011,

Adiposity and Clustering of Risk Factors among Urban Asian Indians in North India, Journal Pone, 6(9), 1-6.

Birtcher, K.K., and Ballantyne, C.M., 2004, Measurement of Cholesterol A Patient Perspective, Journal of The American Heart Association, 110, 296-297.

Blebil, A.Q., Hassan, Y., Dujaili, J.A, and Aziz, N., 2012, Pattern Of Dyslipidemia In Type 2 Diabetic Patients In The State Of Penang, Malaysia, International Journal of Pharmacy and Pharmaceutical Scieces, 4(1), 305-308.

Canadian Diabetes Association, 2008, Cholesterol and Diabetes, CPG, Canada, pp. 1.

Cardin, S., Cherrington, A., Edgerton, D., and Jensen, M.D., 2003, Splanchnic Free Fatty Acid Kinetics. Am. J. Physiol. Endocrinol. Metab, 284, 1140–

1148.

Carr, M.C., and Brunzell, J.D., 2004, Abdominal Obesity and Dyslipidemia in the Metabolic Syndrome: Importance of Type 2 Diabetes and Familial Combined Hyperlipidemia in Coronary Artery Disease Risk, J Clin Endocrinol Metab, 89(6), 2601-26077.

Chest, Heart, and Stroke Scotland, 2012, Cholesterol, Heart UK, United Kingdom, pp.1-3.

Cogill, B., 2003, Anthropometric Indicators Measurement Guide, Food and Nutrition Technical Assistance Project, Washington, D.C., pp. 9, 72-73. Cyrino, E.S, Okano, A., Glaner, M.F., Romanzini, M., Gobbo, L.A., Makoski, A.,

et al, 2003, Impact of The Use of Different Skinfold Calipers For The Analysis of The Body Composition, Rev Bras Med Esporte, 9(3), 150. Dahlan, M.S., 2011, Statistika untuk Kedokteran dan Kesehatan, Edisi 5, Salemba

Medika, Jakarta, pp. 22, 45, 76, 98.

Demura, S., and Sato., S., 2007, Suprailiac or Abdominal Skinfold Thickness Measured with a Skinfold Caliper as a Predictor Body Densitiy in Japanese Adult, Tohoku Journal of Experimental Medicine, 213(1), 51-61.

Departemen Kesehatan Republik Indonesia, 2011, Uji Fungsi Alat Kimia Klinis dan Hematologi, http://www.depkes.go.id/ download/ yandu/ uji_ fungsi_ alat_ kimia_klinis_dan_hematologi.pdf, diakses pada tanggal 1 Mei 2013.

Diabetes UK, 2010, Diabetes in The UK: Key Statistic on Diabetes, Diabetes United Kingdom, pp. 3.

Dwimartutie, N., Setiati, S., and Oemardi, M., 2010, The Correlation Between Body Fat Distribution and Insulin Resistance in Elderly, Acta Med Indones-Indones J Intern Med, 42(2), 66-73.

Ebbert, J.O, and Jensen, M.D., 2013, Fat Depots, Free Fatty Acid, and Dyslipidemia, Nutrients, 5, 498-502.

Eyben, V.F, Mouritsen, E., Holm, J., Montvilas, P., Dimcevski, G., Suciu, G., et al., 2003, Intra-Abdominal Obesity and Metabolic Risk Factors: a Study of Young Adults, International Journal of Obesity 27, 941-949.

Ezenwaka, C.E., and Offiah, N.V., 2001, Cardiovascular Risk in Obese and Nonobese Patients with Type 2 Diabetes in The West Indies, J Biomed, 8(4), 314-320.

Fox, C.S., Massaro, J.M., Hoffman, U., Pou, K.M., Horvat, P.M., Liu, C.Y., et al.,

2007, Abdominal Visceral and Subcutaneous Adipose Tissue Compartments: Association with Metabolic Risk Factors in the Framingham Heart Study, American Heart Association, 39-55.

Freedman, D.S., Katzmaryzak, P.T., Dietz, W.H., Srinivasan, S.R., and

Berenson,G.R., 2009, Relation of Circumferences and Skinfold Thicknesses to Lipid and Insulin Concentration in Children and Adolescents: the Bogalusa Heart Study, The American Journal of Clinical Nutrition, 69, 308-320.

Gaal, L.F.V., and Despres, J.P., 2008, Abdominal Obesity, Dyslipidemia, Insulin Resistance, Type 2 Diabetes and Atherosclerosis: Who is The Right Patient to Be Treated with Cb1 Receptor Antagonists, Journal of The International Chair on Cardiometabolic Risk, 1(3), 51-56.

Goossens, G.H, 2008, The Role of Adipose Tissue Dysfunction in The Pathogenesis of Obesity-Related Insulin Resistance, Physiol. Beha, 94, 206–218.

Guyton, A.C., dan Hall, J.E., 2006, Fisiologi Kedokteran, Edisi 11, Penerbit Buku Kedokteran EGC, Jakarta, pp. 882-889.

Hacihamdioglu, Okutan, V., Yozgat, Y., Yildrim, D., Kocaoglu, M., Lenk, K.M.,

et al., 2011, Abdominal Obesity is an Independent Risk Factor for Increase Carotid Intima-media Thickness in Obese Children, The Turkish Journal of Pediatric, 53, 48-54.

Handayani, 2012, Modifikasi Gaya Hidup Dan Intervensi Farmakologis Dini Untuk Pencegahan Penyakit Diabetes Melitus Tipe 2, Media Gizi Masyarakat Indonesia, 1(2), 65-70.

Harvard Health Publications, 2010, Taking Aim at Belly Fat, http://www.health.harvard.edu/newsletters/Harvard_Womens_Health_W atch/2010/August/taking-aim-at-belly-fat, Harvard Medical School, diakses pada tanggal 20 Desember 2013.

Hassan, N.E., El-Masry, S.A., Soliman, N.L., El-Batran, M.M., Al-Tohamy, M., El-Batrawy, S.R., et al., 2012, Association between Anthropometric Parameters and Cardio-Metabolic Disease Risk Factors Among Obese Children and Adolescents, Macedonian Journal of Medical Sciences, 5(2), 155-156

International Diabetes Federation, 2006, Metabolic Syndrome, The IDF Consensus Worldwide Definition of The Metabolic Syndrome, IDF Communication, pp. 10.

Jade, K., 2012, Cholesterol Ratio-More Important than Total Cholesterol or LDL Cholesterol, https://www.naturalhealthadvisory.com/daily/cholesterol- control/cholesterol-ratio-more-important-than-total-cholesterol-or-ldl-cholesterol, diakses pada tanggal 5 Januari 2014.

Jensen, M.D., 2008, Role of Body Fat Distribution and The Metabolic Complications of Obesity, J. Clin. Endocrinol Metab, 93, 57–63. Kiswanto, N., 2013, Korelasi Body Fat Precentage Terhadap Rasio Kolesterol

Total/HDL Pada Mahasiswa-Mahasiswi Universitas Sanata Dharma,

Skripsi, Universitas Sanata Dharma, Yogyakarta.

Klop, B., Elte, J.W.F., and Cabezas, M.C., 2013, Dyslipidemia in Obesity: Mechanism and Potential Targets, Nutrients, 5, 1218-1240.

Krauss, R.M., 2004, Lipids and Lipoproteins in Patients with Type 2 Diabetes,

Diabetes Care, 27(6), 1496-1504.

Kuk, J.L., Lee, S., Heymsfield, S.B., and Ross, R., 2005, Waist Circumference and Abdominal Adipose Tissue Distribution: Influence of Age and Sex,

Am J Clin Nutr, 81, 1330-1334.

Lakshmi, R., Bandyopadhyay, S.S., Bhaskar, L.V.K.S., Madhubala, S., and Rghavendra, R., 2011, Appraisal of Risk Factors for Diabetes Mellitus Type 2 in Central Indian Population: A Case Control Study, Antrocom Online Journal of Anthropology, 7(1), 103-110.

Liao, Y.L., Lin, S.C., and Hsu, C.H., 2011, Waist Circumference is a Better Predictor than Body Mass Index of Insulin Resistance in Type 2 Diabetes, Int J Diabetes & Metab, 19, 35-40.

Marquette General Health System, 2010, Healthy Hints: Understanding Your Cholesterol Numbers, http://ww4.mgh.org/nutritionMed/ Shared% 20Documents/ HHYourChol.pdf, diakses pada tanggal 20 April 2013. McPhee, S.J., dan Ganong, W.F., 2007, Patofisiologi Penyakit: Pengantar

Menuju Kedokteran Klinis, Edisi 5, PBK EGC, Jakarta, pp. 561-571. Mealey, B.L., and Rethman, M.P., 2003, Periodontal Disease and Diabetes

Melitus: Bidirectional Relationship, Dent Today, 22, 107-13.

Micic, D., and Cvijovic, 2008, Abdominal Obesity and Type 2 Diabetes, Touch Briefings, Serbia, pp. 26-29.

Mooradian, A.D., 2009, Dyslipidemia in Type 2 Diabetes Melitus, Nature Clinical Practice Endocrinology and Metabolism, 5(3), 150-151.

Moyad, M.A, 2004, Fat Diets and Obesity, http://www.medscape.com /viewarticle/473630_10, diakses pada tanggal 17 Maret 2013.

National Health and Nutrition Examination Survey, 2007, Anthropometry Procedures Manual, CDC, USA, pp. 1, 17,18.

National Heart, Lung, and Blood Institute, 2002, Detection Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III), National Institute of Health, USA, pp.5,26.

Nooyens, A.C.J., Koppes,L.L.J., Visscher, T.L.S., Twisk, J.W.R., Kemper,H.C.G, Schuit, A.J., et al, 2007, Adolescent Skinfold Thickness is a Better Predictor of High Body Fatness in Adults than is Body MassIndex: Amsterdam Growth and Health Longitudinal Study, Am J ClinNutr, 85, 1533-1543.

Norton, K., Carter, L., Olds, T., and Marfell, M., 2001, International Standards for Anthropometric Assesment, ISAK, Australia, pp. 10, 38.

Notoatmodjo, S., 2010, Jenis dan Rancangan Penelitian, Rineka Cipta, Jakarta, pp.37-38.

Pandya, H., Lakhni, J.D., Dadhania, J., and Trivedi, A., 2012, The Prevalence and Pattern of Dyslipidemia among Type 2 Diabetic Patients at Rural

Based Hospital in Gujarat, Indian Journal of Clinical Practice, 22(12), 36-44.

Parikh, P., Mani, U., and Iyer, U., 2002, Abdominal Adiposity and Metabolic Control in Patients with Type 2 Diabetes Mellitus, Int J Diab Dev Countries, 22, 28-34.

PERKENI, 2011, Konsensus Pengelolaan dan Pencegahan Diabetes Melitus Tipe 2 di Indonesia, Perkumpulan Endokrinologi Indonesia, Jakarta, pp.1,6-7. Pusparini, 2007, Obesitas Sentral, Sindroma Metabolik, dan Diabetes Melitus

Tipe Dua, Universa Medicina, 26(4), 195-204.

Polikandrioti, M., Kotronoulas, G., Liveri, D., Giovaso, S., Varelis, G., and Kyristi, E., 2009, Body Mass Index, Central Obesity, and Dietary Patterns in A Group of Young Adult Men, Health Science Journal, 3(1), 54-63.

Rai, N., and Jeganthan, 2012, Relation between Waist-Hip Ratio and Lipid Profile in Male Type 2 Diabetes Mellitus Patients, RJPBCS, 3(4), 954-958.

Renaldi, O., 2012, World Diabetes Day November 14th 2012, http://www.mitrakeluarga.com/bekasibarat/?p=4643, diakses pada tanggal 7 Maret 2013.

Reddy, R., Jayarama, N., and Mahesh, V., 2013., A Study of Some Anthropometric Variables and Lipid Profile in Diabetic and Non-Diabetics in Rural Kolar, International Journal of Basic and Applied Medical Sciences, 3(2), 263-265.

Sam, S., Haffner, S., Davidson, M.H., D’Agostino, R.B., Feinstein, S., Kondos,

G., Perez, A., et al., 2008, Relationship of Abdominal Visceral and SubcutaneousAdipose Tissue With Lipoprotein Particle Number andSize in Type 2 Diabetes, Diabetes,57, 2022-2026.

Sardinha, L.B., Teixeira, P.J., Guedes, D.P., Going, S.B., and Lohman, T.G., 2000, Subcutaneous Central Fat is Associated With Cardiovascular Risk Factors in Men Independently of Total Fatness and Fitness, Metabolism, 49(11), 1379.

Sastroasmoro, 2008, Dasar-Dasar Metodologi Penelitian Klinis, Sagung Seto, Jakarta, pp. 49.

Shaikh, M.A., Kumar, S., and Ghouri, R.A., 2010., Type 2 Diabetes Mellitus and Lipid Abnormalities, JLUMHS, 9(3), 145-146.

Simonen, P., 2002, Cholesterol Metabolism in Type 2 Diabetes, Departemen of Medicine University of Helsinki, Finlandia, pp.25-26.

Soewondo, P., Soegondo, S., Suastika, K., Pranoto, A., Soeatmadji, D.W., and

Tjokroprawiro, A., 2010, The DiabCare Asia 2008 Study – Outcomes on Control and Complications of Type 2 Diabetic Patients in Indonesia, The DiabCare Asia 2008 study, 19, 235.

Spiegel, M., dan Stephens, L., 2007, Statistik, edisi ketiga, Erlangga, Jakarta, pp. 150.

Spollet, G.R., 2006, Type 2 Diabetes Across The Life Span, American Diabetes Association of Educators, Chicago, pp. 216-217.

Utami, N.E., 2012, Korelasi BMI dan Abdominal Skinfold Thickness Terhadap Rasio Kolesterol Total/HDL Pada Staf Wanita Universitas Sanata Dharma, Skripsi, Universitas Sanata Dharma, Yogyakarta.

Tangvarasittichai, S., Ponsub, P., and Tangvarasittichai, O., 2010, Association of Serum Lipoprotein Ratios with Insulin Resistance in Type 2 Diabetes Mellitus, Indian J Med Res, 131, 641-648.

Triplitt, C.L., Reasner, C.A., and Isley, W., 2008, Pharmacotherapy: a Pathophysiologic Approach, 7th edition, McGraw Hill Medical, USA, pp. 1205-1212.

Tohidi., M., Hatami. M., Hadaegh, F., Safarkhani, M., Harati, H.,and Azizi, F., 2010, Lipid Measures for Prediction of Incident Cardiovascular Disease in Diabetic and Nondiabetic Adults: Results of The 8.6 Years Follow-Up of a Population Based Cohort Study, Lipids in Health and Disease, 9(6), 1-5.

Unite for Sight, 2013, The Importance of Quality Samlpe Size, http://www.uniteforsight.org/global-health-university/importance-of-quality-sample-size/, diakses pada tanggal 25 Februari 2014.

Wajchenberg, B.L., 2000, Subcutaneous and Visceral Adipose Tissue: Their Relation To The Metabolic Syndrome, Endocrine Review, 21(6), 697-738.

WHO, 2011, Obesity and Overweight, http://www.who.int/mediacentre/ factsheets/fc311/en, diakses pada tanggal 15 april 2013.

Yadav, N.K., Thanpari, C., Shrewastwa, M.K., and Mittal, R.K., 2012, Comparison of Lipid Profile in Type-2 Obese Diabetics and Obese

Non-diabetic Individuals, Kathmandu University Medical Journal, 10(3), 44-48.

Yaturu, S., 2011, Obesity and Type 2 Diabetes, Journal of Diabetes Mellitus, 1(4), 79-95.

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Lampiran 3. Uji Reabilitas Instrumen Penelitian

Instrumen: Skinfold Caliper pi zi hou du fi

Pria Wanita No. AST (mm) SD CV (%) No. AST (mm) SD CV (%) 1. 25,5 0,5 2 1. 29 0,4 1,36 2. 24,5 2. 29,5 3. 25 3. 29,5 4. 24,5 4. 30 5. 25,5 5. 29

Lampiran 4. Uji Normalitas Karakteristik Responden

Responden Pria: 1. Usia

Case Processing Summary

Cases

Valid Missing Total

N Percent N Percent N Percent

usia 38 100.0% 0 .0% 38 100.0%

Tests of Normality

Kolmogorov-Smirnova Shapiro-Wilk

Statistic df Sig. Statistic df Sig.

usia .096 38 .200* .969 38 .360

a. Lilliefors Significance Correction

Descriptives

Statistic Std. Error

usia Mean 61.4737 1.60091

95% Confidence Interval for Mean Lower Bound 58.2299 Upper Bound 64.7174 5% Trimmed Mean 61.6667 Median 61.0000 Variance 97.391 Std. Deviation 9.86870 Minimum 41.00 Maximum 78.00 Range 37.00 Interquartile Range 16.00 Skewness -.063 .383 Kurtosis -.794 .750 2. AST

Case Processing Summary

Cases

Valid Missing Total

N Percent N Percent N Percent

AST 38 100.0% 0 .0% 38 100.0%

Tests of Normality

Kolmogorov-Smirnova Shapiro-Wilk

Statistic df Sig. Statistic df Sig.

AST .141 38 .054 .936 38 .032

Descriptives

Statistic Std. Error

AST Mean 24.6147 .68862

95% Confidence Interval for Mean Lower Bound 23.2195 Upper Bound 26.0100 5% Trimmed Mean 24.6580 Median 24.7500 Variance 18.019 Std. Deviation 4.24493 Minimum 12.00 Maximum 37.00 Range 25.00 Interquartile Range 3.41 Skewness -.059 .383 Kurtosis 2.848 .750

3. Kadar Kolesterol Total

Case Processing Summary

Cases

Valid Missing Total

N Percent N Percent N Percent

Descriptives

Statistic Std. Error

KT Mean 1.8518E2 5.37986

95% Confidence Interval for Mean

Lower Bound 1.7428E2

Upper Bound 1.9608E2

5% Trimmed Mean 1.8572E2

Median 1.8400E2 Variance 1.100E3 Std. Deviation 3.31637E1 Minimum 103.00 Maximum 252.00 Range 149.00 Interquartile Range 44.75 Skewness -.126 .383 Kurtosis .094 .750 Tests of Normality Kolmogorov-Smirnova Shapiro-Wilk

Statistic df Sig. Statistic df Sig.

KT .079 38 .200* .987 38 .932

a. Lilliefors Significance Correction

4. Kadar HDL

Case Processing Summary

Cases

Valid Missing Total

N Percent N Percent N Percent

HDL 38 100.0% 0 .0% 38 100.0%

Descriptives

Statistic Std. Error

HDL Mean 35.6184 1.26457

95% Confidence Interval for Mean Lower Bound 33.0562 Upper Bound 38.1807 5% Trimmed Mean 35.8079 Median 35.7500 Variance 60.767 Std. Deviation 7.79535 Minimum 17.70 Maximum 48.80 Range 31.10 Interquartile Range 9.03 Skewness -.333 .383 Kurtosis -.359 .750 Tests of Normality Kolmogorov-Smirnova Shapiro-Wilk

Statistic df Sig. Statistic df Sig.

HDL .088 38 .200* .973 38 .483

a. Lilliefors Significance Correction

5. Kolesterol Total/HDL

Case Processing Summary

Cases

Valid Missing Total

N Percent N Percent N Percent

KT/HDL 38 100.0% 0 .0% 38 100.0%

Descriptives

Statistic Std. Error

KT/HDL Mean 5.4136 .21835

95% Confidence Interval for Mean Lower Bound 4.9712 Upper Bound 5.8560 5% Trimmed Mean 5.3858 Median 5.3942 Variance 1.812 Std. Deviation 1.34600 Minimum 2.68 Maximum 8.31 Range 5.62 Interquartile Range 2.03 Skewness .318 .383 Kurtosis -.331 .750

Tests of Normality

Kolmogorov-Smirnova Shapiro-Wilk

Statistic df Sig. Statistic df Sig.

KT/HDL .109 38 .200* .979 38 .696

a. Lilliefors Significance Correction

*. This is a lower bound of the true significance.

Responden Wanita: 1. Usia

Case Processing Summary

Cases

Valid Missing Total

N Percent N Percent N Percent

usia 52 100.0% 0 .0% 52 100.0%

Tests of Normality

Kolmogorov-Smirnova Shapiro-Wilk

Statistic df Sig. Statistic df Sig.

usia .095 52 .200* .973 52 .271

a. Lilliefors Significance Correction

Descriptives

Statistic Std. Error

usia Mean 60.3654 1.10839

95% Confidence Interval for Mean Lower Bound 58.1402 Upper Bound 62.5906 5% Trimmed Mean 60.3034 Median 59.0000 Variance 63.883 Std. Deviation 7.99271 Minimum 44.00 Maximum 77.00 Range 33.00 Interquartile Range 11.75 Skewness .191 .330 Kurtosis -.510 .650 2. AST

Case Processing Summary

Cases

Valid Missing Total

N Percent N Percent N Percent

Tests of Normality

Kolmogorov-Smirnova Shapiro-Wilk

Statistic df Sig. Statistic df Sig.

AST .106 52 .200* .979 52 .488

a. Lilliefors Significance Correction

*. This is a lower bound of the true significance.

Descriptives

Statistic Std. Error

AST Mean 26.1442 .80818

95% Confidence Interval for Mean Lower Bound 24.5217 Upper Bound 27.7667 5% Trimmed Mean 26.2991 Median 27.0000 Variance 33.964 Std. Deviation 5.82787 Minimum 11.00 Maximum 38.00 Range 27.00 Interquartile Range 7.50 Skewness -.391 .330 Kurtosis .247 .650

3. Kadar Kolesterol Total

Case Processing Summary

Cases

Valid Missing Total

N Percent N Percent N Percent

KT 52 100.0% 0 .0% 52 100.0%

Descriptives

Statistic Std. Error

KT Mean 1.9500E2 5.64043

95% Confidence Interval for Mean

Lower Bound 1.8368E2

Upper Bound 2.0632E2

5% Trimmed Mean 1.9101E2

Median 1.8850E2 Variance 1.654E3 Std. Deviation 4.06737E1 Minimum 121.00 Maximum 342.00 Range 221.00 Interquartile Range 39.25 Skewness 1.817 .330 Kurtosis 5.014 .650 Tests of Normality Kolmogorov-Smirnova Shapiro-Wilk

Statistic df Sig. Statistic df Sig.

KT .156 52 .003 .845 52 .000

4. Kadar HDL

Case Processing Summary

Cases

Valid Missing Total

N Percent N Percent N Percent

HDL 52 100.0% 0 .0% 52 100.0%

Descriptives

Statistic Std. Error

HDL Mean 43.4404 2.52460

95% Confidence Interval for Mean Lower Bound 38.3720 Upper Bound 48.5087 5% Trimmed Mean 42.4624 Median 42.2500 Variance 331.427 Std. Deviation 1.82051E1 Minimum 11.70 Maximum 122.90 Range 111.20 Interquartile Range 24.98 Skewness 1.581 .330 Kurtosis 5.778 .650

Tests of Normality

Kolmogorov-Smirnova Shapiro-Wilk

Statistic df Sig. Statistic df Sig.

HDL .116 52 .077 .888 52 .000

a. Lilliefors Significance Correction

5. Kolesterol Total/HDL

Case Processing Summary

Cases

Valid Missing Total

N Percent N Percent N Percent

KTperHDL 52 100.0% 0 .0% 52 100.0%

Tests of Normality

Kolmogorov-Smirnova Shapiro-Wilk

Statistic df Sig. Statistic df Sig.

KTperHDL .151 52 .005 .765 52 .000

Descriptives

Statistic Std. Error

KTperHDL Mean 5.2460 .37201

95% Confidence Interval for Mean

Lower Bound 4.4991 Upper Bound 5.9928 5% Trimmed Mean 4.9219 Median 4.5250 Variance 7.196 Std. Deviation 2.68261 Minimum 2.39 Maximum 18.21 Range 15.82 Interquartile Range 2.80 Skewness 2.654 .330 Kurtosis 10.344 .650

Lampiran 5. Uji Hipotesis Komparatif

Responden Pria:

1. Kadar Kolesterol Total

Case Processing Summary

klasifikasi

Cases

Valid Missing Total

N Percent N Percent N Percent

KT <24.75 19 100.0% 0 .0% 19 100.0%

>=24.75 19 100.0% 0 .0% 19 100.0%

Tests of Normality

klasifikasi

Kolmogorov-Smirnova Shapiro-Wilk

Statistic df Sig. Statistic df Sig.

KT <24.75 .143 19 .200* .961 19 .594

>=24.75 .095 19 .200* .961 19 .595

a. Lilliefors Significance Correction

*. This is a lower bound of the true significance.

Independent Samples Test

Levene's Test for

Equality of Variances t-test for Equality of Means

F Sig. t df Sig. (2-tailed) Mean Difference Std. Error Difference 95% Confidence Interval of the Difference Lower Upper KT Equal variances assumed .125 .726 -1.954 36 .059 -20.26316 10.37218 -41.29890 .77259 Equal variances not assumed -1.954 35.998 .059 -20.26316 10.37218 -41.29896 .77264

Descriptives

klasifikasi Statistic Std. Error

KT <24.75 Mean 1.7505E2 7.36456

95% Confidence Interval for Mean

Lower Bound 1.5958E2

Upper Bound 1.9052E2

5% Trimmed Mean 1.7611E2

Median 1.7400E2 Variance 1.030E3 Std. Deviation 3.21014E1 Minimum 103.00 Maximum 228.00 Range 125.00 Interquartile Range 28.00 Skewness -.521 .524 Kurtosis .315 1.014 >=24.75 Mean 1.9532E2 7.30379

95% Confidence Interval for Mean

Lower Bound 1.7997E2

Upper Bound 2.1066E2

5% Trimmed Mean 1.9485E2

Median 1.9200E2 Variance 1.014E3 Std. Deviation 3.18365E1 Minimum 147.00 Maximum 252.00 Range 105.00 Interquartile Range 45.00 Skewness .243 .524 Kurtosis -.930 1.014

Group Statistics

klasifikasi N Mean Std. Deviation Std. Error Mean

KT <24.75 19 1.7505E2 32.10136 7.36456

>=24.75 19 1.9532E2 31.83648 7.30379

2. Kadar HDL

Case Processing Summary

klasifikasi

Cases

Valid Missing Total

N Percent N Percent N Percent

HDL <24.75 19 100.0% 0 .0% 19 100.0%

>=24.75 19 100.0% 0 .0% 19 100.0%

Tests of Normality

klasifikasi

Kolmogorov-Smirnova Shapiro-Wilk

Statistic df Sig. Statistic df Sig.

HDL <24.75 .133 19 .200* .944 19 .305

>=24.75 .155 19 .200* .958 19 .530

a. Lilliefors Significance Correction

*. This is a lower bound of the true significance.

Independent Samples Test

Levene's Test for

Equality of Variances t-test for Equality of Means

F Sig. t df Sig. (2-tailed) Mean Difference Std. Error Difference 95% Confidence Interval of the Difference Lower Upper HDL Equal variances assumed 1.090 .303 .109 36 .914 .27895 2.56361 -4.92030 5.47819 Equal variances not assumed .109 35.363 .914 .27895 2.56361 -4.92355 5.48145

Descriptives

klasifikasi Statistic Std. Error

HDL <24.75 Mean 35.7579 1.93060

95% Confidence Interval for Mean Lower Bound 31.7019 Upper Bound 39.8139 5% Trimmed Mean 35.8532 Median 37.9000 Variance 70.817 Std. Deviation 8.41528 Minimum 21.00 Maximum 48.80 Range 27.80 Interquartile Range 14.60 Skewness -.317 .524 Kurtosis -.961 1.014 >=24.75 Mean 35.4789 1.68668

95% Confidence Interval for Mean Lower Bound 31.9354 Upper Bound 39.0225 5% Trimmed Mean 35.7544 Median 35.2000 Variance 54.053 Std. Deviation 7.35207 Minimum 17.70 Maximum 48.30 Range 30.60 Interquartile Range 8.10 Skewness -.410 .524 Kurtosis .893 1.014

Group Statistics

klasifikasi N Mean Std. Deviation Std. Error Mean

HDL <24.75 19 35.7579 8.41528 1.93060

>=24.75 19 35.4789 7.35207 1.68668

3. Kolesterol Total/HDL

Case Processing Summary

klasifikasi

Cases

Valid Missing Total

N Percent N Percent N Percent

KT/HDL <24.75 19 100.0% 0 .0% 19 100.0%

>=24.75 19 100.0% 0 .0% 19 100.0%

Tests of Normality

klasifikasi

Kolmogorov-Smirnova Shapiro-Wilk

Statistic df Sig. Statistic df Sig.

KT/HDL <24.75 .190 19 .070 .939 19 .250

>=24.75 .107 19 .200* .975 19 .868

a. Lilliefors Significance Correction

*. This is a lower bound of the true significance.

Independent Samples Test

Levene's Test for

Equality of Variances t-test for Equality of Means

F Sig. t df Sig. (2-tailed) Mean Difference Std. Error Difference 95% Confidence Interval of the Difference Lower Upper KT/H DL Equal variances assumed .603 .442 -1.461 36 .153 -.62847 .43015 -1.50086 .24392 Equal variances not assumed -1.461 35.855 .153 -.62847 .43015 -1.50098 .24405

Descriptives

klasifikasi Statistic Std. Error

KT/HDL <24.75 Mean 5.0993 .29433

95% Confidence Interval for Mean Lower Bound 4.4810 Upper Bound 5.7177 5% Trimmed Mean 5.0591 Median 5.0407 Variance 1.646 Std. Deviation 1.28297 Minimum 2.68 Maximum 8.24 Range 5.55 Interquartile Range 1.37 Skewness .762 .524 Kurtosis 1.346 1.014 >=24.75 Mean 5.7278 .31369

95% Confidence Interval for Mean Lower Bound 5.0688 Upper Bound 6.3868 5% Trimmed Mean 5.7104 Median 6.0052 Variance 1.870 Std. Deviation 1.36733 Minimum 3.46 Maximum 8.31 Range 4.84 Interquartile Range 1.86 Skewness -.061 .524 Kurtosis -.719 1.014

Group Statistics

klasifikasi N Mean Std. Deviation Std. Error Mean

KT/HDL <24.75 19 5.0993 1.28297 .29433

>=24.75 19 5.7278 1.36733 .31369

Responden Wanita: 1. Kadar Kolesterol Total

Case Processing Summary

klasifikasi_A ST

Cases

Valid Missing Total

N Percent N Percent N Percent

KT <26.1442 23 100.0% 0 .0% 23 100.0% >=26.1442 29 100.0% 0 .0% 29 100.0% Tests of Normality klasifikasi_A ST Kolmogorov-Smirnova Shapiro-Wilk

Statistic df Sig. Statistic df Sig.

KT <26.1442 .231 23 .003 .792 23 .000

>=26.1442 .148 29 .102 .854 29 .001

a. Lilliefors Significance Correction

Ranks

klasifikasi_A

ST N Mean Rank Sum of Ranks

KT <26.1442 23 23.39 538.00

>=26.1442 29 28.97 840.00

Descriptives

klasifikasi_AST Statistic Std. Error

KT <26.1442 Mean 1.8822E2 8.67734

95% Confidence Interval for Mean

Lower Bound 1.7022E2

Upper Bound 2.0621E2

5% Trimmed Mean 1.8407E2

Median 1.8600E2 Variance 1.732E3 Std. Deviation 4.16151E1 Minimum 121.00 Maximum 342.00 Range 221.00 Interquartile Range 32.00 Skewness 2.215 .481 Kurtosis 8.386 .935 >=26.1442 Mean 2.0038E2 7.39248

95% Confidence Interval for Mean

Lower Bound 1.8524E2

Upper Bound 2.1552E2

5% Trimmed Mean 1.9621E2

Median 1.9700E2 Variance 1.585E3 Std. Deviation 3.98097E1 Minimum 154.00 Maximum 337.00 Range 183.00 Interquartile Range 43.50 Skewness 1.733 .434 Kurtosis 4.230 .845

Test Statisticsa

KT

Mann-Whitney U 262.000

Wilcoxon W 538.000

Z -1.318

Asymp. Sig. (2-tailed) .188

a. Grouping Variable: klasifikasi_AST

2. Kadar HDL

Case Processing Summary

klasifikasi_A ST

Cases

Valid Missing Total

N Percent N Percent N Percent

HDL <26.1442 23 100.0% 0 .0% 23 100.0% >=26.1442 29 100.0% 0 .0% 29 100.0% Tests of Normality klasifikasi_A ST Kolmogorov-Smirnova Shapiro-Wilk

Statistic df Sig. Statistic df Sig.

HDL <26.1442 .140 23 .200* .876 23 .008

>=26.1442 .111 29 .200* .960 29 .326

a. Lilliefors Significance Correction

*. This is a lower bound of the true significance.

Ranks

klasifikasi_A

ST N Mean Rank Sum of Ranks

HDL <26.1442 23 29.15 670.50

>=26.1442 29 24.40 707.50

Descriptives

klasifikasi_AST Statistic Std. Error

HDL <26.1442 Mean 47.7043 4.75724

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