Hindarto, and Jani, Moch Gesang Akbar and Azizah, Nuril Lutvi and Taurusta, Cindy (2026) Predicting Snack Food Production (Pentol) Using Fuzzy Logic. International Journal on Human-Computing Studies, 8 (2). ISSN 2615-8159

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Abstract

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.

Item Type:	Article
Uncontrolled Keywords:	fuzzy logic, Mamdani, meatball production, income, demand, inventory
Subjects:	H Social Sciences
Depositing User:	admin eprints
Date Deposited:	19 Jul 2026 11:48
Last Modified:	19 Jul 2026 11:48
URI:	http://eprints.umsida.ac.id/id/eprint/16813

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