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.
