Application Of Fuzzy Logic To Determine The Amount Of Rice Production Based On Supply Data And Amount Of Demand (Rrjs Distributor Case Study)

Authors

  • Nani Hidayati STIKOM Tunas Bangsa
  • Syahda Andini STIKOM Tunas Bangsa
  • Larasati Larasati STIKOM Tunas Bangsa
  • Eka Amanda Pratiwi STIKOM Tunas Bangsa
  • Delon Jeremy Simanjuntak STIKOM Tunas Bangsa
  • Nasrul Andani STIKOM Tunas Bangsa

Keywords:

Fuzzy logic, Mamdani Method, Rice, Production

Abstract

Maximum profit is obtained from maximum sales. If the number of products produced by the Distributor is less than the amount of demand, the distributor will lose the opportunity to get maximum profit and vice versa. Therefore, planning the number of products in Rrjs Distributor is very important in order to meet market demand appropriately and with the appropriate amount. Factors that you can pay attention to in determining the number of products, among others: the amount of inventory and the amount of demand. The writing and discussion in this study is about the fuzzy method, the application of the Fuzzy inference system of the Mamdani Method so that the amount of rice to be produced is in accordance with needs. In Fuzzy Mamdani's method of drawing conclusions, each amount of inventory and demand that has been built can be used to assist distributors in making a decision.

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Published

2024-04-30

How to Cite

Hidayati, N., Andini, S., Larasati, L., Amanda Pratiwi, E., Jeremy Simanjuntak, D., & Andani, N. (2024). Application Of Fuzzy Logic To Determine The Amount Of Rice Production Based On Supply Data And Amount Of Demand (Rrjs Distributor Case Study). Journal of Engineering, Computing And Data Science (JECDS), 1(1), 7–13. Retrieved from https://e-jurnal.mediainsancreative.org/index.php/jecds/article/view/42