This research applies the Fuzzy Tsukamoto Method to optimize the inventory management of coconut shell handicraft products in Bantul Regency, Indonesia. The aim is to develop a predictive system to determine production quantities based on market demand and inventory levels, so as to overcome challenges such as over- and under-stocking. Data was collected from Marem.id's production records between January and April 2024, which included demand, inventory, and production variables. Fuzzy modeling is performed with three variables: two inputs (demand and inventory) and one output (production). The system integrates fuzzification, inference, and defuzzification processes to calculate the optimal production level. The results show that for April 2024, a production quantity of 92,432 units is recommended to meet demand and maintain efficient inventory levels. This approach improves operational efficiency, reduces costs, and increases competitiveness in local and international markets.
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