Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal IJHCS
Cindy Taurusta
Muhammadiyah University of Sidoarjo, Indonesia
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Neuroscience

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Predicting Snack Food Production (Pentol) Using Fuzzy Logic Hindarto; Moch Gesang Akbar Jani; Nuril Lutvi Azizah; Cindy Taurusta
International Journal on Human-Computing Studies Vol. 8 No. 2 (2026): International Journal of Human Computing Studies (IJHCS)
Publisher : Research Parks Publishers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31149/ijhcs.v8i2.5773

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.
Co-Authors Hindarto Moch Gesang Akbar Jani Nuril Lutvi Azizah