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Coffee, the fourth most significant contributor to Indonesia's foreign exchange earnings, and smallholder plantations with limited management dominate its production. To support the downstream flow of local coffee, the Directorate General of Plantations developed post-harvest coffee equipment through the assistance of the post-harvest tools and machines and coffee processing. Thus, evaluating the utilization of agricultural machinery in terms of its sustainability and optimization needs to support developing and prioritizing the coffee industry. Therefore, this study aims to assess the sustainability of post-harvest aid from government assistance from 2017 to 2020. A survey methodology through an expert system approach and analysis techniques such as Data Envelopment Analysis (DEA) and Analytical Hierarchical Process (AHP) is using for this study. This research shows that all farmer associations' sustainable use of coffee post-harvest agricultural equipment and machinery falls into the good category for economic and technological aspects. Meanwhile, the recommendation of strategies to increase coffee post-harvest equipment and machines according to the alternatives prioritized involves the quality of raw materials, and stakeholders are important to farmer associations.


Analytical Hierarchical Process, Data Envelopment Analysis, post-harvest coffee, sustainability

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