Modeling the Percentage of Poor Population in Java Island using Geographically Weighted Regression Approach

Poverty is a multidimensional problem faced by all countries in the world. inability of individual or group to meet their basic needs terms expenditure. In poverty problem, there tendency that poor will locations with certain characteristics. This spatial clustering indicates diversity making global regression analysis inappropriate for application. Therefore, purpose this research model percentage population 119 districts on Java Island 2021 using Geographically Weighted Regression (GWR) method. The results state GWR Kernel Fixed Bisquare provides superior compared and able overcome heterogeneity problem. provide fairly high coefficient determination, which 70,73 percent. identifies ten groups based significance independent variables, majority them (61 districts) having significant RLS variable. education an important aspect be considered local governments alleviate poverty.