PENERAPAN FUZZY INFERENCE SYSTEM TIPE MAMDANI UNTUK MENENTUKAN JUMLAH PRODUKSI ROTI BERDASARKAN DATA JUMLAH PERMINTAAN DAN PERSEDIAAN (STUDI KASUS PABRIK CINDERELA BREAD HOUSE DI KOTA AMBON)

Application of Fuzzy Inference System Mamdani Type to Determine the Number of Bread Production Based on Data Number of Demand and Supply (Case Study on Cinderela Bread House Ambon Factory in Ambon City)

  • ELISABETH ROSSEMARY YUNITA SAHULATA UNIVERSITAS PATTIMURA
  • H. J. Wattimanela Jurusan Matematika FMIPA Universitas Pattimura
  • M. S. Noya Van Delsen Jurusan Matematika FMIPA Universitas Pattimura
Keywords: Fuzzy Inference System, Fuzzy Logic, Demand, Supply, Production

Abstract

Increased competitive competition in the economic development of each company engaged in the industry requires the company to win the competition by taking into account the inventory of goods to get the maximum profit. Therefore the planning of the number of products is very important to meet all existing requests. Writing and discussion in this study is the application of the Mamdani Fuzzy Inference System to determine the amount of production based on data on the amount of supply and demand at Cinderela Bread House Factory using the help of Matlab R2017a Software to determine the number of bakery products that must be produced. The application of Mamdani type Fuzzy logic in determining the amount of bread production based on the amount of supply and demand data can assist companies in making decisions with an accuracy value of 90.26633% and an error value of 9.77367%.

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Published
2020-03-01
How to Cite
[1]
E. SAHULATA, H. Wattimanela, and M. Noya Van Delsen, “PENERAPAN FUZZY INFERENCE SYSTEM TIPE MAMDANI UNTUK MENENTUKAN JUMLAH PRODUKSI ROTI BERDASARKAN DATA JUMLAH PERMINTAAN DAN PERSEDIAAN (STUDI KASUS PABRIK CINDERELA BREAD HOUSE DI KOTA AMBON)”, BAREKENG, vol. 14, no. 1, pp. 079-090, Mar. 2020.