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All Journal MUST: Journal of Mathematics Education, Science and Technology
Elvira Mustikawati Putri Hermanto
Universitas PGRI Adi Buana
Computer Science & IT Education Mathematics

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Penerapan Multivariate Geographically Weighted Regression pada Kasus Angka Kematian Ibu dan Bayi di Provinsi Jawa Tengah Elisabeth Vianey Mali; Elvira Mustikawati Putri Hermanto
MUST: Journal of Mathematics Education, Science and Technology Vol 7 No 2 (2022): DECEMBER
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/must.v7i2.18470

Abstract

Maternal Mortality Rate and Infant Mortality Rate are indicators of health development that are used to show the state of health status in a community, including maternal and infant services. Many factors affect MMR and IMR both in terms of health, education, and economy. Central Java Province is one of the provinces in Indonesia where MMR has not met the SDGs target, while IMR is included in the 10 highest IMR areas in Indonesia. The purpose of this study was to establish a Multivariate GWR model in cases of AKI and IMR in Central Java Province in 2020. The predictor variables used in this study were the percentage of pregnant women carrying out K4 visits (X1), the percentage of Td2+ immunization in pregnant women (X2), the ratio of the puskesmas (X3), the average length of school (X4) and the percentage of the poor (X5). One example of an area in Central Java Province is Rembang Regency, with variables that significantly affect MMR is X5 and variables that affect IMR are X2 and X5. The goodness of the model with AICc obtained an AICc value of 397.215.
Co-Authors Elisabeth Vianey Mali