GWR modeling is more effective in describing the number of poor people in regencies/municipalities in Central Java in 2018. The purpose of this study is to determine the factors that influence the number of poor people in each regency/municipality in Central Java. The variables used in this study are the number of poor people, Human Development Index (HDI), unemployment rate (TPT), and regency/municipality minimum wage (UMK). Geographically Weighted Regression (GWR) modeling is important to be used to develop models in each district / city as a basis for policy makers. The right policy is very important to be made for the achievement of sustainable development goals. ![]() ![]() It is also the first goal of Sustainable Development Goals (SDG’s) to be alleviated. ![]() Poverty is something that is often a measure of the success of a regional head's leadership.
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