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All Journal Jurnal Gaussian Indonesian Journal of Applied Statistics Jurnal Abadimas Adi Buana J Statistika: Jurnal Ilmiah Teori dan Aplikasi Statistika INTI Nusa Mandiri JAPI: Jurnal Akses Pengabdian Indonesia Jurnal Statistika dan Komputasi (STATKOM) Indonesian Journal of Statistics and Its Applications
Elvira Mustikawati Putri Hermanto
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Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Energy Environmental Science Health Professions Industrial & Manufacturing Engineering Mathematics Nursing Public Health Social Sciences Other

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PEMODELAN GEOGRAPHICALLY WEIGHTED REGRESSION (GWR) PADA PERSENTASE KRIMINALITAS DI PROVINSI JAWA TIMUR TAHUN 2017 Yusuf, Dessy Wulandari Syahputri; Hermanto, Elvira Mustikawati Putri; Pramesti, Wara
Indonesian Journal of Statistics and Applications Vol 4 No 1 (2020)
Publisher : Statistics and Data Science Program Study, SSMI, IPB University, in collaboration with the Forum Pendidikan Tinggi Statistika Indonesia (FORSTAT) and the Ikatan Statistisi Indonesia (ISI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/ijsa.v4i1.557

Abstract

Crime is everything that exists in Indonesia. Based on BPS data in 2018, East Java Province ranks first in the Province of North Sumatra and the Special Capital Region of Jakarta. This research was conducted to determine the factors that support crime in each Regency / City of East Java Province. The method used in this research is Weighted Geographic Regression (GWR). Geographically Weighted Regression (GWR) is one of the statistical methods used to model variable responses with regional or area-based predictor variables. Based on the GWR results, it is recognized as a variable Population Density Percentage (X1), Open Unemployment Rate (X2), Poor Population (X3), Population who are Victims of Drug Abuse (X4), Human Development Index (X5), and Married Human Population (X6) ) importance in the city of Surabaya. The coefficient of determination (R2) and AIC from GWR is better than the OLS model. This refers to the optimal R2 and AIC values ​​of 91.40% and 129.293.
Analisis Penyakit Tuberkulosis (TBC) pada Provinsi Jawa Timur Tahun 2021 Menggunakan Geographically Weighted Regression (GWR) Rahmawati, Novi; Karno, Faldianus; Hermanto, Elvira Mustikawati Putri
Indonesian Journal of Applied Statistics Vol 6, No 2 (2023)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijas.v6i2.78593

Abstract

Tuberculosis (TB) is an infectious disease with the highest mortality rate in the world. In East Java, TB cases will experience a significant increase in 2021. This study uses the Geographically Weighted Regression (GWR) method to analyze the variables that affect TB cases in East Java that year. The variables used are the number of TB cases, the number of smokers, the number poor population, and population density. The GWR results show that the number of poor people has a significant effect on all districts/cities in East Java. Meanwhile, population density has a significant effect in most areas (except Pacitan, Bondowoso, Situbondo). This research provides input for the government to reduce the number of TB cases in East Java. Efforts need to be made to increase employment and reduce regional disparities so that the burden of this disease can be controlled more effectively.Keywords: TBC, GWR, Kernel Bisquare
Co-Authors Agustin, Risca Alfisyahrina Hapsery Aprilia, Yohanita Uniyantri Hani Brilianti Rochmanto Hariyanto, Intan Amelia Haryanto, Intan Amelia Indrasetianingsih, Artanti Karno, Faldianus Khoirun Nisak Alfiyatun Nengseh Mohamad Ilham Nengseh, Khoirun Nisak Alfiyatun Novi Rahmawati pramesti, wara Yusuf, Dessy Wulandari Syahputri