TY  - JOUR
JF  - Proceeding of  International Conference On Research, Implementation And Education  Of Mathematics And Sciences 2015 (ICRIEMS 2015), Yogyakarta State University, 17-19 May 2015
TI  - AUTOLOGISTICS MODELS FOR MODELLING AND MAPPING INFANT MORTALITY IN INDONESIA
AV  - public
UR  - http://fmipa.uny.ac.id
N2  - According to Indonesia Demographic and Health Survey (IDHS) data, the highest child mortality occurred during the first year of age of infant. Infant  mortality is an important indicator that must to be monitored seriously. The mortality is associated with several determinants, such as the infant?s characteristics, maternal and fertility factors, housing condition, and also geographical area. The aim of this research is to develop models that can be used to explain the effects of explanatory variables on infant mortality in Indonesia. It is also the aim of this research to develop a thematic map describing the distribution pattern of infant mortality probabilities at district level across the country. The response variable is a binary categorical variable with two outcomes, success and failure. The outcome is success if the infant died before achieving one year of age, and failed if the infant is still alive after one year of age. Modeling is using  Logistic Regression model and Autologistics Regression model. The results showed that the Autologistics Regression model fitted the data reasonably well, all of the explanatory variable affect infant mortality, except infant?s sex. The results also showed that the probabiity of infant mortality was higher in Kalimantan island and Papua island.
Keyword :  Infant, mortality, autologistic, binary, IDHS
Y1  - 2015///
PB  - Faculty of Mathematics and Sciences Yogyakarta State University
A1  - Ray Sastri, .
A1  - Khairil Anwar Notodiputro, .
A1  - Indahwati, .
ID  - UNY23641
SN  - 978-979-96880-8-8
ER  -