DOI: https://doi.org/10.14710/j.gauss.13.1.25-35

PEMODELAN KASUS KEMATIAN IBU HAMIL DI JAWA TENGAH DENGAN PENDEKATAN GEOGRAPHICALLY WEIGHTED REGRESSION (GWR) DAN MIXED GWR

*Anugrah Rawiyah Salma  -  Department of Statistics, Universitas Diponegoro, Jl. Prof. Sudarto, SH, Tembalang, Semarang, Indonesia 50275, Indonesia
Sugito Sugito  -  Jurusan Statistika, Fakultas Sains dan Matematika, Universitas Diponegoro, Indonesia
Ardiana Alifatus Sa’adah  -  Jurusan Statistika, Fakultas Sains dan Matematika, Universitas Diponegoro, Indonesia
Open Access Copyright 2024 Jurnal Gaussian under http://creativecommons.org/licenses/by-nc-sa/4.0.

Citation Format:
Abstract
Global maternal mortality reduction remains a part of The Sustainable Development Goals (SDGs). Maternal death in Central Java increased in 2021, with the leading cause is related to Covid-19. Maternal mortality in Central Java is demonstrated using Geographically Weighted Regression (GWR) for addressing the spatial heterogeneity aspects. Cross Validation is used to determine the optimal bandwidth and Euclidean distance used to discover the weighting matrix. Independent variables such as number of nurse, number of primary clinic, and household percentage with safe water supply are identified as local variables, whereas other independent variables, such as complications from delivery management and number of poverty are identified as global variables, hence the Mixed GWR model, which combine both local and global variables, is used. Based on the value of AIC, MSE, also adjusted , the optimal model for analyzing the maternal mortality is Mixed GWR with fixed Gaussian weighting.
Fulltext View|Download
Keywords: Maternal mortality; GWR; Mixed GWR; fixed gaussian

Article Metrics:

Article Info
Section: Articles
Language : ID
Recent articles
PENGUKURAN RISIKO PORTOFOLIO SAHAM JAKARTA ISLAMIC INDEX DENGAN STOCHASTIC DOMINANCE PERAMALAN HARGA GULA PASIR MENGGUNAKAN VARIASI KALENDER REGARIMA DENGAN MOVING HOLIDAY EFFECT (PERIODE JANUARI 2018 SAMPAI DENGAN DESEMBER 2022 DI PASAR KOTA SEMARANG) ANALISIS TINGKAT KEPENTINGAN DAN KINERJA (IMPORTANCE-PERFORMANCE ANALYSIS) NILAI KEGUNAAN APLIKASI M-COMMERCE More recent articles
  1. BPS Provinsi Jawa Tengah. 2022. URL: https://jateng.bps.go.id/
  2. Calvert, C., et al. 2020. Direct maternal deaths attributable to HIV in the era of antiretroviral therapy: evidence from three population-based HIV cohorts with verbal autopsy. National Library of Medicine, Vol. 34, No. 9: 1397-1405
  3. Fotheringham, A.S., Brunsdon, C., dan Charlton, M. 2002. Geographically Weighted Regression. Chichester, UK: John Wiley and Sons
  4. Girum, T. dan Wasie, A. 2017. Correlates of Maternal Mortality in Developing Countries: An Ecological Study in 82 Countries. Matern Health, Neonatol and Perinatol. BioMed Central, Vol. 19, No. 3
  5. Jeong W., Jang, S.I., Park, E.C., dan Nam, J.Y. 2020. The Effect of Socioeconomic Status on All-Cause Maternal Mortality: A Nationwide Population-Based Cohort Study. Int J Environ Res Public Health, Vol. 17, No. 12
  6. Kemenkes Indonesia. 2022. Profil Kesehatan Indonesia 2021. URL: https://www.kemkes.go.id/downloads/resources/download/pusdatin/profil-kesehatan-indonesia/Profil-Kesehatan-2021.pdf
  7. Leung, Y., Mei, C.L., dan Zhang, W.X. 2000. Statistical Tests for Spatial Nonstationarity Based on the Geographically Weighted Regression Model. Environment and Planning A: Economy and Space, Vol. 32, No. 1: 9–32
  8. Purhadi dan Yasin, H. 2012. Mixed Geographically Weighted Regression Model Case Study: The Percentage Of Poor Households In Mojokerto 2008. European Journal of Scientific Research, Vol. 69, No. 2: 188-196
  9. Sitaula, S., Basnet, T., Agrawal, A., Manandhar, T., Das, dan Shrestha, P. 2021. Prevalence and risk factors for maternal mortality at a tertiary care centre in Eastern Nepal- retrospective cross sectional study. BMC Pregnancy and Childbirth Vol. 21, No. 1
  10. Thoma, M. dan Declercq, E. 2022. All-Cause Maternal Mortality in the US Before vs During the COVID-19 Pandemic. JAMA Network Open Vol. 5, No. 6
  11. World Health Organization. 2023. Maternal mortality. URL: https://www.who.int/newsroom/fact-sheets/detail/maternal-mortality

Last update:

No citation recorded.

Last update:

No citation recorded.