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All Journal Jurnal Gaussian CAUCHY: Jurnal Matematika Murni dan Aplikasi GRADIEN BAREKENG: Jurnal Ilmu Matematika dan Terapan Jurnal Teknoinfo Martabe : Jurnal Pengabdian Kepada Masyarakat Jurnal Berdaya Mandiri TRIBUTE: JOURNAL OF COMMUNITY SERVICES Journal Of Human And Education (JAHE) PENA ABDIMAS : Jurnal Pengabdian Masyarakat Journal of Scientech Research and Development JAPI: Jurnal Akses Pengabdian Indonesia Prosiding Seminar Nasional Official Statistics Jurnal Penelitian Ilmu Pendidikan Indonesia MAP (Jurnal Manajemen dan Administrasi Publik) Jurnal Ilmu Kesehatan dan Gizi Abdi Reksa Jurnal Hasil-Hasil Pengabdian dan Pemberdayaan Masyarakat (JHP2M) Indonesian Journal of Statistics and Its Applications Journal of Statistics and Data Science
Dyah Setyo Rini
Jurusan Matematika, Fakultas MIPA, Universitas Bengkulu
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DETERMINASI INDIKATOR PEMBANGUNAN KESEHATAN MASYARAKAT (IPKM) DI WILAYAH PESISIR MENGGUNAKAN MODEL STRUCTURAL DENGAN SAMPEL KECIL Riwi Dyah Pangesti; Dyah Setyo Rini; Winalia Agwil; Septiara Santi Anggriany; Muhammad Kevin Rido Ariendra
Jurnal Gaussian Vol 14, No 1 (2025): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/j.gauss.14.1.157-168

Abstract

Public health in coastal areas is a crucial aspect of a nation's development but faces unique challenges due to geographical, demographic, and environmental factors. This study seeks to analyze the factors influencing the Health Development Index (HDI) in coastal areas using the Structural Equation Modeling (SEM) approach with the Partial Least Square (PLS) method for a small sample. The analyzed variables include Environmental Health, Health Behavior, Health Services, Poverty Status, and the HDI, as well as their influence on Health Status. This study utilizes secondary data from the 2018 Riskesdas report and BPS publications in the southern part of Sumatra. The analysis results show that Environmental Health has a significant effect of -0,45 and Health Behavior has an effect of -0,30 on Health Status. However, Health Services, Poverty Status, and HDI do not show significant effects on Health Status. By gaining a deeper understanding of the determinants of IPKM in coastal areas, this study is expected to contribute to the development of more targeted and effective health policies. The PLS-SEM approach used in this study is also expected to serve as a reference for other researchers in applying structural models to small samples.
ANALISIS JUMLAH KASUS MALARIA DI WILAYAH SUMATERA MENGGUNAKAN GEOGRAPHICALLY WEIGHTED ZERO-INFLATED POISSON REGRESSION (GWZIPR) Rahmat Kevin Praditia; Dian Agustina; Dyah Setyo Rini
Indonesian Journal of Statistics and Applications Vol 4 No 4 (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.v4i4.716

Abstract

A method that can be used if there is a spatial factor and if overdispersion happens in a count data is Geographically Weighted Zero-Inflated Poisson Regression (GWZIPR). This research aimed to analyze the number of malaria cases in every regency/city of Sumatra Land using the GWZIPR method and distribution mapping of factors affecting the number of malaria cases in Sumatra Land. Data involved in this research was the number of malaria cases as the response variable and the predictor variable as a percentage of households that have access to proper sanitation, a percentage of households that have access to proper water resources, and a percentage of the number of public health centers. The results were for each area which had distinctive models based on significant variables. The distribution mapping of factors affecting the number of malaria cases in every regency/city was commonly divided into three groups based on significant variables on ln and logit models. The mapping did not shape a spreading pattern or each regency/city in that group because the geographical locations were close to each other. GWZIPR method in this research was better than the ZIP Regression method because it produced the least AIC value.
Co-Authors Agwil, Winalia Ahmad Famuji Alwansyah, Muhammad Arib Alya Saputri Andang Wijanarko Angel Syarifatunnisa Arono Arono Avrillia Permata Hati4 Bagus Sartono Baki Swita Bayubuana, Muhammad Gabdika Bayubuana Cinta Rizki Oktarina Crisdianto, Riki Crisdianto, Riki Dian Agustina Dian Agustina Dian Agustina Dian Agustina Dwi Putri, Malia Eka Chandra Wardana, Dian Eko Heru Purwanto Eko Heru Purwanto Elfi Yuliza Elfi Yuliza Etis Sunandi Fachri Faisal Fairuzindah, Athaya Famuji, Ahmad Herlin Fransiska Hermalia Hiasa, Fina Idhia Sriliana Indah Wahyuliani Jomecho, Tommy Karuna, Elisabeth Evelin M. Taufiqurrahman Syah Meiwidian, Muhamad Iqbal Meylisah, Eni Mochammad Yusa Muhammad Kevin Rido Ariendra Muhammad Taufiqurrahman Syah Nafri Yanti Nafri Yanti Natsir, Mohammad Nur Afandi Nutia Rosdalena Nutia Rosdalena Oktarina, Cinta Rizky Pepi Novianti Pratiwi, Stevy Cahya Purwanto, Eko Heru Qhiky Lioni Tasyah Rahmat Kevin Praditia Renaldi Reyvo Valeriyan Reyvo Valeriyan Reza Pahlepi Riwi Dyah Pangesti Riwi Dyah Pangesti Rosdalena, Nutia Safroni Aziz Suprianto Saputri, Alya Saputri, Alya Septiara Santi Anggriany Setiawan, Yudi Sigit Nugroho Siska Yosmar Sri Syuhada Putri Supianti, Filo Syah, M. Taufiqurrahman Syah, Muhammad Taufiqurrahman Ulfasari Rafflesia Valeriyan, Reyvo Winalia Agwil Winalia Agwil Winalia Agwil Winalia Agwil Wiranda, Risca Putri Wiranda, Risca Putri Yanti, Rizki Dwi Yudi Setiawan Yudi Setiawan Zulfia Memi Mayasari