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All Journal Indonesian Journal of Science and Mathematics Education Jurnal Ilmiah Kesehatan (JIKA) PERWIRA - Jurnal Pendidikan Kewirausahaan Indonesia Jurnal Ilmiah Pengabdian dan Inovasi Eksponensial Jurnal Aplikasi Perpajakan
Pratiwi, Nadya
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Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Health Professions Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Journal : Eksponensial

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Penerapan Model Geographically Weighted Logistic Regression Pada Data Status Kesejahteraan Masyarakat di Kalimantan Tahun 2017 Pratiwi, Nadya; Suyitno, Suyitno; Siringoringo, Meiliyani
EKSPONENSIAL Vol. 11 No. 1 (2020)
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (776.692 KB) | DOI: 10.30872/eksponensial.v11i1.648

Abstract

Geographically Weighted Logistic Regression (GWLR) model is a regression model developed from logistic regression which is applied to spatial data. The aims of research is a GWLR model determination on dichotomous data of community welfare status based on the Human Development Index (HDI) and to find the factors influencing the probability of high welfare status of each Regency/City on Kalimantan Island in 2017. Parameters estimation of the GWLR model was done at each observation location using a weighted Maximum Likelihood Estimation (MLE) method and maximum likelihood estimator was obtained by Newton Raphson iterative method. Spatial weighting on parameter estimation was determined using Adaptive Gaussian weighting function and optimum bandwidth was determined using Generalized Cross-Validation (GCV) criterion. Based on the result of GWLR parameter testing, it was concluded that the factors influencing the probability of high welfare status of Regency/City on Kalimantan Island in 2017 were school enrollment rates (senior high school), the number of health workers, real per capita income and the open unemployment rate.
Co-Authors Amanda V.T, Bella Bawapratama, Choky Rais Cangara, Husni Ega Dwi Putri Marswandi Elly Wahyudin Naomi, Krisan Felicia Putri, Alivia Maharani Siringoringo, Meiliyani Suyitno Suyitno Wirahendri Yulkifli Yulkifli