Pemodelan Faktor-Faktor yang Mempengaruhi Jumlah Kasus Diabetes Melitus di Jawa Timur Menggunakan Metode Geographically Weighted Generalized Poisson Regression dan Geographically Weighted Negative Binomial Regression

Safire, Elvira Dian (2022) Pemodelan Faktor-Faktor yang Mempengaruhi Jumlah Kasus Diabetes Melitus di Jawa Timur Menggunakan Metode Geographically Weighted Generalized Poisson Regression dan Geographically Weighted Negative Binomial Regression. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Diabetes melitus merupakan penyakit kronis berupa gangguan metabolik yang ditandai dengan kadar gula darah yang melebihi batas normal. Provinsi penyumbang jumlah kasus penderita diabetes melitus terbanyak di Indonesia pada tahun 2019 adalah Provinsi Jawa Timur. Untuk mengetahui faktor-faktor yang mempengaruhi jumlah kasus diabetes melitus digunakan pendekatan dengan metode Geographically Weighted Generalized Poisson Regression (GWGPR) dan Geographically Weighted Negative Binomial Regression (GWNBR). Jumlah penderita diabetes melitus terbanyak di Jawa Timur adalah di Kota Surabaya dengan jumlah 94.076 kasus dan terendah ada di Kota Batu yakni 3.344 kasus. Pemodelan GWGPR menghasilkan 3 kelompok dan model GWNBR menghasilkan 4 kelompok untuk variabel yang signifikan pada masing-masing kabupaten/kota. Faktor-faktor yang berpengaruh signifikan terhadap jumlah kasus diabetes melitus antara lain rasio tingkat pendidikan SMA ke-atas, proporsi aktivitas fisik penduduk, persentase konsumsi rokok, persentase penderita hipertensi, dan proporsi konsumsi minuman manis. Model GWGPR memiliki nilai AICc yang lebih kecil daripada model GWNBR, sehingga metode GWGPR paling sesuai untuk memodelkan jumlah kasus diabetes melitus di kabupaten/kota di Jawa Timur dibandingkan metode GWNBR.
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Diabetes mellitus is a chronic disease of metabolic disorders characterized by blood-sugar levels exceeding normal limits. The province contributing the largest number of cases of diabetes mellitus in Indonesia in 2019 is East Java Province. To know the factors that affect the number of cases of diabetes mellitus is used approach with Geographically Weighted Generalized Poisson Regression (GWGPR) and Geographically Weighted Negative Binomial Regression (GWNBR) methods. The highest number of people with diabetes mellitus in East Java is in Surabaya with 94.076 cases and the lowest is in Batu City which is 3.344 cases. GWGPR modeling produces 3 groups and the GWNBR model produces 4 groups for significant variables in each district/city. Factors that have a significant effect on the number of cases of diabetes mellitus are the ratio of high school education level to the top, the proportion of physical activity of the population, the percentage of cigarette consumption, the percentage of people with hypertension, and the proportion of consumption of sugary drinks. The GWGPR model has a smaller AICc value than the GWNBR model, so the GWGPR method is best suited to model the number of cases of diabetes mellitus in districs/cities in East Java compared to GWNBR method.

Item Type: Thesis (Other)
Uncontrolled Keywords: Diabetes Melitus, GWGPR, GWNBR, Diabetes Mellitus
Subjects: H Social Sciences > HA Statistics > HA29 Theory and method of social science statistics
Q Science
Q Science > Q Science (General) > Q180.55.M38 Mathematical models
Q Science > QA Mathematics > QA275 Theory of errors. Least squares. Including statistical inference. Error analysis (Mathematics)
R Medicine > RA Public aspects of medicine
Divisions: Faculty of Science and Data Analytics (SCIENTICS) > Statistics > 49201-(S1) Undergraduate Thesis
Depositing User: Elvira Dian Safire
Date Deposited: 19 Feb 2022 05:17
Last Modified: 02 Nov 2022 02:00
URI: http://repository.its.ac.id/id/eprint/94637

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