Jurnal Biometrika dan Kependudukan (Journal of Biometrics and Population)
Vol. 9 No. 1 (2020): JURNAL BIOMETRIKA DAN KEPENDUDUKAN

ANALYSIS OF FACTOR AFFECTING INFANT MORTALITY RATE (IMR) IN EAST JAVA USING MULTIPLE LINEAR REGRESSION

Weike Retno Palupi (Department of Biostatistics and Population, Faculty of Public Health, Universitas Airlangga, 60115 Surabaya, East Java, Indonesia)
Lailatul Khusnul Rizki (Midwifery Diploma Study Program, Faculty of Nursing and Midwifery, Universitas Nahdlatul Ulama Surabaya, 60237 Surabaya, East Java, Indonesia)



Article Info

Publish Date
15 Jun 2020

Abstract

Infant Mortality Rate (IMR) is one of the important indicators in public health. Indonesia still has a relatively high IMR compared to the neighboring countries. Based on the Indonesian Demographic Health Survey (IDHS) in 2012, IMR in East Java reached 25.50 deaths per 1000 births. IMR decline occurred during 2012 to 2015. Achievement depends on the factors that influence it. This study aims to create a model of IMR based on maternal and external factors in East Java. The method used was a non-reactive study using 38 districts/cities as sample units in East Java, which came from Central Bureau of Statistics secondary data in 2015. Statistical analysis used multiple linear regression. The results showed the independent variables together affected the IMR (p-value = 0,000 <0.05), but partially influenced by the age of the first married mother (p-value = 0,000 <0.05) and the helper delivery of non-medical personnel (p-value = 0.014 <0.05). The conclusion of this study is the regression equation model for IMR in East Java in 2015, which is IMR = 1,064 + 1,319 * (age of first marriage) + 0.439 * (helper of non-medical births). Suggestions for the Government of East Java Province to implement strategies so that infant mortality cases can be reduced.

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Journal Info

Abbrev

JBK

Publisher

Subject

Description

Jurnal Biometrika dan Kependudukan is a journal that contains articles about the development of statistical methods in the field of health, the application of statistical methods on solving health problems, the development of demography and demography, solving reproductive health problems, solving ...