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

Urban farming has emerged as a solution to reduce agricultural land due to urbanization. Through the role of the Women's Farmer Group (KWT), urban farming not only helps food security but also empowers women and preserves the environment. This study aims to analyze the performance of Women Farmer Groups (KWT) in Bogor City by comparing the Weighted Product (WP) and Composite Performance Index (CPI) methods, as well as designing a Geographic Information System (GIS) to map the distribution of KWT. The 2022 KWT data includes coordinates, names, land areas, and commodities planted. The Mean Square Error (MSE) method is used to compare the accuracy of the two methods. The results showed that the CPI had an MSE of 0.3, while the WP had 0.8. The CPI is more accurate, the WP is more efficient and gives good results, with the KWT Ciharashas achieving the highest rank (V = 0.0242 for WP and CPI = 66.60). CPI is recommended as the right method for KWT evaluation in Bogor City. This research is expected to help KWT evaluators and related BAPPERIDA agencies in assessing the development of KWT and promoting urban farming.