Analysis of the Performance of Women Farmers Group Using CPI and WP Methods Based on WebGIS

Urban Farm DB summary

This study analyzed the performance of Women's Farmer Groups (KWT) in Bogor City, Indonesia, by comparing the Weighted Product (WP) and Composite Performance Index (CPI) methods and designing a Geographic Information System (GIS) to map KWT distribution. Using 2022 KWT data, the Mean Square Error (MSE) method was used to compare accuracy. The results showed CPI had an MSE of 0.3, while WP had 0.8, indicating CPI is more accurate. KWT Ciharashas achieved the highest rank (V = 0.0242 for WP and CPI = 66.60).