Application of Cluster Analysis and Spatial Weighted Regression for Optimizing the Role of Gen Z in Poverty Alleviation

AksiGenZ is a web-based platform developed by Natassya Marchelina Cahya Setyaji and Dimaz Andhika Putra, 2022 Statistics students from Gadjah Mada University. Using the Fuzzy Geographically Weighted Clustering and Geographically Weighted Regression (GWR) methods, this platform aims to optimize the role of Gen Z in the efforts to eradicate poverty in Indonesia. AksiGenZ maps poverty data segmented by province through cluster analysis and identifies significant factors at the district level that influence poverty conditions through spatially weighted regression. AksiGenZ presents data-driven solutions to tackle poverty, one of the complex social issues in Indonesia. Through cluster analysis, this platform divides provinces based on poverty levels. Next, spatially weighted regression analysis for each cluster helps identify the factors causing poverty at the district level, allowing for more specific and focused solutions to be developed. ... 

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