Pemodelan Prevalensi Penyakit Jantung Koroner Dengan Pendekatan Geographically Weighted Regression Di Jawa Timur Tahun 2013

Rulitasari, Diana Desi (2016) Pemodelan Prevalensi Penyakit Jantung Koroner Dengan Pendekatan Geographically Weighted Regression Di Jawa Timur Tahun 2013. Undergraduate thesis, Institut Technology Sepuluh Nopember.

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Abstract

Penyakit jantung koroner (PJK) adalah penyempitan pembuluh darah kecil yang memasok darah dari oksigen ke jantung. Ini disebabkan oleh pembentukan plak pada dinding arteri. Berdasarkan diagnosis dan gejala, estimasi jumlah penderita PJK terbanyak terdapat di Jawa Timur sebanyak 375.127 orang. Variabel yang memengaruhi PJK diantaranya obesitas, hipertensi, kebiasaan merokok, aktivitas fisik, dan ekonomi. Beberapa penelitian tentang PJK, sebagian besar tidak menekankan aspek humaniora seperti kekhasan budaya yang direpresentasikan kekhasan lokasi (kabupaten/kota). Oleh karena itu penelitian ini dikembangkan pemodelan PJK yang mengakomodasi adanya aspek perilaku masyarakat yang direpresentasikan dalam spasial (lokasi). Metode yang digunakan dalam penelitian ini dengan pendekatan Geographically Weighted Regression (GWR). GWR merupakan model regresi untuk variabel respon yang bersifat kontinu dimana pemodelan memperhatikan letak geografis suatu wilayah. Penelitian ini bertujuan memodelkan prevalensi PJK berdasarkan variabel yang mempengaruhinya. Berdasarkan hasil analisis terbentuk dua kelompok persebaran kab/kota berdasarkan variabel yang signifikan. Pada kelompok pertama variabel persentase penderita diabetes melitus dan persentase merokok tiap hari berpengaruh terhadap prevalensi PJK. Pada kelompok kedua variabel persentase penderita diabetes melitus, merokok tiap hari, dan aktivitas fisik kurang aktif berpengaruh terhadap prevalensi PJK. Berdasarkan kriteria nilai AIC dan R2 diperoleh bahwa model GWR yang lebih baik, karena mempunyai nilai AIC terkecil yaitu 71,043 dan R2 tertinggi yaitu 54,1%. ============================================================================================================= Coronary heart disease (CHD) is a narrowing of the small blood vessels that supply oxygen to the blood from the heart. This is caused by the formation of plaque on artery walls. Based on the diagnosis and symptoms, the estimated number of people with coronary heart disease are highest in East Java province as much as 375 127. Variables that influence CHD including obesity, hypertension, smoking, physical activity, and economic. From some research on CHD, most do not emphasize this aspect of the humanities such as cultural peculiarities which represented the peculiarities of the location (district/city). Therefore in this study developed CAD modeling that accommodates their behavioral aspects of society are represented in the spatial (location). The method used in this study with the approach Geographically Weighted Regression (GWR). GWR is a regression model for the response variable is continuous where modeling attention to the geographical location of a region. This study aims to model the prevalence of CHD based on variables that influence. Based on the analysis formed two groups. In the first group variable percentage of patients with diabetes mellitus and smoking every day percentage effect on the prevalence of CHD. In the second group variable percentage of patients with diabetes mellitus, smoking every day, and physical activity were less active influence on the prevalence of CHD. Based on the criteria AIC and R2 values obtained that GWR model is better, because it has the smallest AIC value is 71.043 and the highest R2 is 54.1%.

Item Type: Thesis (Undergraduate)
Additional Information: RSSt 519.536 Rul p
Uncontrolled Keywords: AIC, GWR, PJK, R2
Subjects: Q Science > QA Mathematics > QA278.2 Regression Analysis
Divisions: Faculty of Mathematics and Science > Statistics > 49201-(S1) Undergraduate Thesis
Depositing User: Mr. Tondo Indra Nyata
Date Deposited: 03 Jan 2020 08:57
Last Modified: 03 Jan 2020 08:57
URI: https://repository.its.ac.id/id/eprint/72531

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