MAPPING OF ILLITERACY AND INFORMATION AND COMMUNICATION TECHNOLOGY INDICATORS USING GEOGRAPHICALLY WEIGHTED REGRESSION

Geographically Weighted Regression (GWR) is a technique that brings the framework of a simple regression model into a weighted regression model. In this research, the GWR model was used for mapping Information and Communication Technology (ICT) indicators which influence illiteracy. This research uses data from 29 regencies and 9 cities in East Java Province, Indonesia. The GWR model computed the variables that significantly affect illiteracy ( alpha = 5%) in some locations, such as percent of household members with a mobile phone (x sub( 2)), percent of household members who have computer (x sub( 3)) and the percent of households who access the Internet at school for the last month (x sub( 4)). Mapping by P-value or critical area shows that the ownership of mobile phone significantly affected the southern part of East Java. Then, the ownership of computer and Internet access significantly affected illiteracy at the northern area. All the coefficient regression in these locations were negative.