Moneig Noorfitria Syaharani, Andi Daniah Pahrany, Lita Wulandari Aeli
Sustainable development is a global agenda that has 17 goals, one of which is eradicating poverty. The Covid-19 pandemic is one of the factors contributing to poverty. East Java has the third highest poverty rate among other provinces on Java Island based on poverty rate data. This is a serious problem to overcome. This research aims to determine the Geographically Weighted Regression (GWR) model for poverty levels and the factors that influence poverty levels after pandemic in East Java. This research uses the GWR method to process the data required for this research, there are data from the Human Development Index (X1), Economic Growth (X2), Covid-19 cases (X3), and the poor population (Y) percentage in East Java. Based on the results, different GWR models were obtained for poverty levels after pandemic for each city in East Java. This is caused by spatial factors that influence the independent and dependent variables. In addition, The Human Development Index (HDI) has a significant negative effect on poverty levels across 10 districts and 5 cities in East Java. Economic growth has a significant negative effect on poverty levels in a district of East Java. The Covid-19 pandemic has had both positive and negative significant effects on poverty levels in three districts of East Java. Handling poverty in East Java after pandemic must be different for each city, because each city has significantly different factors that caused poverty. © 2025 American Institute of Physics Inc.. All rights reserved.
Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Negeri Malang, Malang, Indonesia
