Optimizing The Amount of Production Using Hybrid Fuzzy Logic and Census II

The owner of a plastic spoon company in Gresik, East Java, was experiencing several problems related to consumer demand and uncertain changes in raw material prices, especially during the Covid-19 pandemic. This resulted in uncertainty in the purchase of raw materials and the amount of product produced. As a result, the company sometimes could not meet consumer demands, or there was a buildup of products in the warehouse. This study aimed to predict the amount of consumer demand and determine the amount of production. Prediction of the amount of consumer demand was calculated using Census II. While the determination of the optimal amount of production was done using the Fuzzy method. A consumer demand prediction process trial was carried out using sales data from January 2019 to December 2021 to predict January 2022 to May 2022. The prediction results provided an average accuracy of 82%. The sales, inventory, and production data of colored ducks spoons from May 2018 to May 2022 were used to determine the amount of production from January 2022 to May 2022. The results of determining the monthly average production were 77% accurate. The contribution of this research will simplify and speed up plastic spoon companies in determining the amount of productio