Geographically Weighted Logistic Regression (GWLR) with Adaptive Gaussian Weighting Function in Human Development Index (HDI) in The Province of Central Java

Abstract

Abstract The Human Development Index (HDI) is an indicator to measure the success of quality human life. Efforts to calculate HDI to the district/city level are very important, so a better understanding of local conditions is needed with more adequate data support for all districts/cities in Indonesia. Modelling of HDI in Central Java with the factors suspected to influence it is done by Geographically Weighted Logistic Regression (GWLR) with the Adaptive Gaussian Kernel weighting function. The analysis result shows that the deviance value is 32.3992, where the value is greater than the value of χ2 (0.1.4) table, which is 7.77943. So, there is at least one independent variable that significantly affects of HDI in Central Java. GWLR Model Parameter Testing Results with Adaptive Gaussian Kernel weighting function obtained factors that influence HDI in Central Java Province is health facilities.