Determining social assistance recipients using fuzzy-TOPSIS method in Sumur Bandung district Indonesia

Abstract

This study aims to improve the selection process for social assistance recipients in the Sumur Bandung District, Indonesia, using the fuzzyTOPSIS method. The research establishes eligibility criteria and evaluates alternatives based on data from April 2024. By combining multi-criteria decision-making with fuzzy logic, the fuzzy-TOPSIS approach enhances the accuracy and fairness of recipient selection. The methodology involves determining criteria weights, fuzzification, and ranking alternatives against ideal solutions. The results demonstrate that fuzzy-TOPSIS significantly improves decision-making, leading to more objective and reliable outcomes than traditional methods. These findings underscore the potential of fuzzyTOPSIS in optimizing social assistance distribution, ensuring that assistance reaches the most deserving recipients efficiently.