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All Journal GRADIEN BAREKENG: Jurnal Ilmu Matematika dan Terapan Martabe : Jurnal Pengabdian Kepada Masyarakat Jurnal Berdaya Mandiri Journal Of Human And Education (JAHE) PENA ABDIMAS : Jurnal Pengabdian Masyarakat JAPI: Jurnal Akses Pengabdian Indonesia MAP (Jurnal Manajemen dan Administrasi Publik) Journal of Statistics and Data Science Limits: Journal of Mathematics and Its Applications
Rini, Dyah Setyo
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Journal : Journal of Statistics and Data Science

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The Disparity of Maternal and Neonatal Death Modeling in Sumatra Region Using Geographically Weighted Bivariate Negative Binomial Regression Bayubuana, Muhammad Gabdika Bayubuana; Nugroho, Sigit; Rini, Dyah Setyo; Alwansyah, Muhammad Arib
Journal of Statistics and Data Science Vol. 3 No. 2 (2024)
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/jsds.v3i2.41285

Abstract

The Sumatra region occupies the second highest rank in terms of Maternal Mortality Rate (MMR) and Neonatal Mortality Rate (NMR) in Indonesia in 2020. Many factors are thought to have influenced these two cases, both directly and indirectly. So it is necessary to do an analysis to find out what factors influence MMR and NMR. The methods that can be used to determine these factors are Bivariate Negative Binomial Regression (BNBR) and Geographically Weighted Bivariate Negative Binomial Regression (GWBNBR). The results of the analysis show that the Deviance Information Criterion (DIC) in GWBNBR is smaller than BNBR, so GWBNBR is better than BNBR in modeling MMR and NMR in the Sumatra Region in 2020.
Earthquake Clustering Using the CLARA Method and Modeling Using the Inhomogeneous Spatial Cox Processes Method in the Ambon Region: Earthquake Clustering Using the CLARA Method and Modeling Using the Inhomogeneous Spatial Cox Processes Method in the Ambon Region Meiwidian, Muhamad Iqbal; Crisdianto, Riki; Rini, Dyah Setyo
Journal of Statistics and Data Science Vol. 2 No. 2 (2023)
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/jsds.v2i2.30249

Abstract

Earthquakes are natural events whose time and place cannot be predicted. Ambon is the largest city in the Maluku Islands region and is the center of development and the capital of Maluku Province. This research will group earthquake events, analyze the characteristics of earthquake events, create earthquake zones and map them using CLARA cluster analysis, and create modeling that will look at the risk of earthquake events in a location based on distance to faults and subduction zones using the Inhomogeneous Neyman-Scott Cox Process. The data used is data on earthquake events in the Ambon region obtained from the United States Geological Survey (USGS) catalog from January 1926 to December 2022, with a depth of ≤360.1 Km and a magnitude of ≥4 Mw. Grouping earthquake events in the Ambon area using CLARA cluster analysis obtained 2 groups of earthquake clusters with an optimal silhouette score of 0.7430. The model obtained in this earthquake research is not good because it is based on the K-function value plot of the original data which is far from the modeling K-function value plot.
Co-Authors Agwil, Winalia Alwansyah, Muhammad Arib Arono Arono Bagus Sartono Bambang Widjanarko Otok Bayubuana, Muhammad Gabdika Bayubuana Cinta Rizki Oktarina Crisdianto, Riki Dwi Putri, Malia Eka Chandra Wardana, Dian Elfi Yuliza Fachri Faisal Fadhilah, Rahmi Fairuzindah, Athaya Famuji, Ahmad Herlin Fransiska Hiasa, Fina Idhia Sriliana Jomecho, Tommy Karuna, Elisabeth Evelin Meiwidian, Muhamad Iqbal Meylisah, Eni Nafri Yanti Natsir, Mohammad Oktarina, Cinta Rizky Pepi Novianti Pratiwi, Stevy Cahya Purwanto, Eko Heru Rosdalena, Nutia Saputri, Alya Sigit Nugroho Supianti, Filo Syah, M. Taufiqurrahman Syah, Muhammad Taufiqurrahman Valeriyan, Reyvo Wiranda, Risca Putri Yudi Setiawan