IMPLEMENTATION OF THE FUZZY ANALYTICAL HIERARCHY PROCESS AND DATA ENVELOPMENT ANALYSES FOR ASSESSMENT OF THE CAPABILITY OF FARMER GROUPS IN INDONESIA

Abstract

Farmer Groups are one of the forums for farmers to increase resources and production of agricultural products. Strong farmer groups will greatly contribute to improving the welfare of the Indonesian people. This study aims to rank farmer groups and evaluate their performance efficiency so that they are in accordance with the priority interests of each criterion unit to support the task of decision-makers in fostering farmer groups in an appropriate manner. Fuzzy Analytical Hierarchy Process (FAHP) Model - Data Envelopment Analysis (DEA) is a ranking method based on preference data in the form of fuzzy numbers. In this study, the AHP-DEA fuzzy method was modified to become AHP-DEA-CCR fuzzy (Charnes, Cooper, and Rhodes). The modification was carried out by weighting using entropy-based fuzzy AHP on the input and output models. The FAHP-DEA model developed successfully mapped 15 farmer groups into 3 groups based on 3 criteria, namely learning vehicles, cooperation vehicles, and production units. Based on performance efficiency in the 3 criteria, 2 strategies are obtained to increase their abilities. One scenario is to provide training to increase production units to farmer groups with DMU IDs 1, 2, 6, 4, and 3, provide counseling and training to increase the use of learning vehicles and provide training to increase the use of cooperation vehicles to farmer groups 10,11, 12, 14, and 15. The varying decision risk into 0.2 (pessimistic), 0.5 (moderate), and 0.8 (optimistic) do not have a significant effect on the decision maker's choice.