Penggunaan Fuzzy Logic & Metode Mamdani untuk Menghitung Pembelian, Penjualan dan Persediaan
Maria Yus Trinity Irsan, Matius Irsan Kasau, Ika Pratiwi Simbolon
Abstract
Fuzzy Logic is a development of Binary Logic that can be used to analyze data in research in both the exact and social fields. In this study, fuzzy logic is used to analyze data in a "Ayam Goreng Murah Rezeki" restaurant related to three linguistic attributes, each of which consists of two linguistic variables: Inventory (Little, Many), Sales (Down, Up), and Purchases (Reduced, Increased) using the Mamdani method. The purpose of the study is to provide an input value of Inventory and Sales to get a Purchase output value. The results of data analysis using a linear down graph and a linear upward graph on each linguistic variable with the Mamdani method yield results in the estimated area or range.
Dewi, K., & Hari, S. P. (2010). Aplikasi Logika Fuzzy (Fuzzy Inference System). Yogyakarta: Graha Ilmu.
S, H. (1999). Forecasting and Simulation of Net Inflows for Reservoir Operation and Management. Malaysia: Universiti Teknologi Malaysia.
Setiadi. (2009). Himpunan dan Logika Samar serta Aplikasinya. Yogyakarta: Graha Ilmu.
Suardika, K. K., & dkk. (2018). Perbandingan Metode Tsukamoto, Metode Mamdani dan Metode Sugeno untuk Menentukan Produksi Dupa. E-Jurnal Matematika 7(2), 180-186.
Susilo, & SJ, F. (2006). Himpunan dan Logika Kamur serta Aplikasinya. Yogyakarta: Graha Ilmu.
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