Predicting Snack Food Production (Pentol) Using Fuzzy Logic
Prediksi Produksi Makanan Ringan(Pentol) Menggunakan Logika Fuzzy
DOI:
https://doi.org/10.21070/ups.9158Keywords:
fuzzy logic, Mamdani, meatball production, income, demand, inventoryAbstract
Fluctuating market demand and limited inventory are challenges in determining the optimal amount of
production, especially for small businesses such as meatball snack production. This study aims to determine the
addition of meatball production using the Mamdani fuzzy logic method. This system uses three input variables:
income, inventory, and sales demand, and one output in the form of the recommended amount of production. Each
variable is modeled with a triangular membership function. The case study shows that with an income of Rp650,000,
an inventory of 600 pieces, and a demand of 1,500 pieces, the fuzzy system recommends an additional production of
500 pieces. These results prove that the Mamdani fuzzy method is effective in helping production decision making
amidst subjective or vague data uncertainty
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