Analisis Regresi dengan Variabel Dummy pada Faktor Risiko Diabetes Mellitus Tipe 2

Putri Diana -
Dewi Murni -

Abstract


Diabetes Mellitus is a metabolic disorder that occurs when blood glucose levels exceed normal limits, that is 126 mg/dl. If high blood sugar levels are not controlled, this can lead to complications and even death. This study aims to create a multiple linear regression model and discover the factors that affect blood sugar that it raises the risk of diabetes mellitus. This research using secondary data obtained from the Dadok Tunggul Hitam Health Center. The samples used were 286 samples. Blood sugar level is the dependent variabel, and the independent variabels are age, abdominal circumference, body mass index, and gender. By using multiple linear regression analysis using one dummy variabel, obtaines models:

Y’ = 0,000157 -0,000001 X1 - 0,000001 X3 + 0,000013 D

The model shows that with α=5%, the variable that significantly affect blood sugar are gender, age, and body mass index.


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References


Y. H. Tarihoran dan D. F. Silaban, “Hubungan Pola Makan dengan Kejadian Diabetes Mellitus di Puskesmas Namorambe Kabupaten Deli Serdang,” Penelit. Keperawatan Med., vol. 4, 2022.

R. Yosmar, D. Almasdy, dan F. Rahma, “Jurnal Sains Farmasi Dan Klinis,” Survei risiko penyakit diabetes melitus terhadap Kesehat. Masy. Kota Padang, vol. 5, hal. 134–141, 2018.

Infodatin, Tetap Produktif, Cegah, dan Atasi Diabetes Melitus. Kemenkes RI, 2020.

Internasional Diabetes Federation, IDF Diabetes Atlas, 10 ed. 2021. doi: 10.1016/j.diabres.2013.10.013.

Riskesdas, Laporan Nasional Riskesdas 2018. Jakarta: Balitbangkes Kemenkes RI, 2019.

N. Draper dan H. Smith, Analisis Regresi Terapan, Dua. Jakarta: Gramedia Pustaka Utama, 1992.

D. N. Gujarati, Basic Econometrics, Fourth. New York: McGraw-Hill, 2004.

R. K. Sembiring, Analisis Regresi. Bandung: ITB, 1995.

Sugiarto, Tahap Awal + Aplikasi Analisis Regresi. Yogyakarta: Andi Offset, 1992.

R. Kurniawan dan B. Yuniarto, Analisis Regresi Dasar dan Penerapannya dengan R. Jakarta: Kencana, 2016.

M. F. Qudratullah, Analsisi Regresi Terapan: Teori, Contoh, Kasus, dan Aplikasi dengan SPSS. Yogyakarta: Andi Offset, 2014.

I. Ghozali, Analsis Multivariat dengan ibm SPSS 25. Semarang: Universitas Diponegoro, 2016.

D. C. Montgomery, G. C. Runger, dan N. F. Hubele, Engineering Statistic. United States: John Wiley & Sons Inc., 2010.

R. . Walpole, Probability and Statistic for Engineers and cientits. Bonston: Pearson Education, 2012.

N. Amalita dan Y. Kurniawati, “Model Regresi Dummy dalam Memprediksi Perfomansi Akademik Mahasiswa Jurusan Matematika FMIPA UNP,” Pros. Semirata FMIPA Univ. Lampung, 2013.




DOI: http://dx.doi.org/10.24036/unpjomath.v8i3.14980