Modeling of Infant Mortality Rate in East Java Province Using Mixed Geographically Weighted Regression Approach for Improving Quality of Health Services

Ninda Ayu Puspitasari, Nadia Murbani, Nopriyanti, Sartika Aprilia, Nur Chamidah

2018

Abstract

Infant mortality is defined as the death of a baby aged less than one year old. Sustainable Development Goals (SDG) program is a sustainable development program in which there are 17 goals and 169 measurable targets with specified deadlines. One of the targets to be achieved by the year 2030 is to be able to reduce infant mortality at least up to 12 every 1,000 live births. Infant Mortality Rate in East Java Province still shows a high number of 5,196 babies die every year. It shows that as many as 13 babies die every day. The mixed geographically weighted regression (MGWR) model is a combination between global regression and local regression models where some predictor variables affect globally and the others affect locally to the response. This study aims to select the best model based on the smallest AICc (Akaike Information Criterion corrected) value using fixed Gaussian weighted. The variable that affect globally is percentage of pregnant mothers visit. While other predictor variables that affect locally are percentage of Integrated Health Services (Posyandu), percentage of number of households with decent sanitation, and percentage of low birth weight infants.

Paper Citation

in Harvard Style

Puspitasari N., Murbani N., Nopriyanti., Aprilia S. and Chamidah N. (2018). Modeling of Infant Mortality Rate in East Java Province Using Mixed Geographically Weighted Regression Approach for Improving Quality of Health Services.In Proceedings of the 2nd International Conference Postgraduate School - Volume 1: ICPS, ISBN 978-989-758-348-3, pages 515-519. DOI: 10.5220/0007546105150519

in Bibtex Style

@conference{icps18,
author={Ninda Ayu Puspitasari and Nadia Murbani and Nopriyanti and Sartika Aprilia and Nur Chamidah},
title={Modeling of Infant Mortality Rate in East Java Province Using Mixed Geographically Weighted Regression Approach for Improving Quality of Health Services},
booktitle={Proceedings of the 2nd International Conference Postgraduate School - Volume 1: ICPS,},
year={2018},
pages={515-519},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007546105150519},
isbn={978-989-758-348-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference Postgraduate School - Volume 1: ICPS,
TI - Modeling of Infant Mortality Rate in East Java Province Using Mixed Geographically Weighted Regression Approach for Improving Quality of Health Services
SN - 978-989-758-348-3
AU - Puspitasari N.
AU - Murbani N.
AU - Nopriyanti.
AU - Aprilia S.
AU - Chamidah N.
PY - 2018
SP - 515
EP - 519
DO - 10.5220/0007546105150519