Implementation of the sugeno fuzzy logic method in identifying the quality of coffee beans

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Tonni Limbong, Parulian Siagian, Tumiur Gultom, Janner Simarmata

2020 IOP Conference Series: Materials Science and Engineering Vol. 725 Issue 1 Conference paper Cited by 1

Abstract

Identifying the quality of coffee beans is quite important to be followed up better because it involves the products to be processed or traded. Because the management is quite a lot and complicated, it is proposed to design an application for identifying the quality of coffee beans. With these demands, it is necessary to measure the quality of coffee beans by using Sugeno's Fuzzy Logic method. The identification of the quality of coffee beans using Fuzzy Sugeno by using the Sugeno Fuzzy model of the zero order and using the rule as much as 36, which is in accordance with the need to support the conclusions of quality from the identification results. © Published under licence by IOP Publishing Ltd.

Affiliations

Department of Computer Science UniversitasKatolik Santo Thomas, Jalan Setia Budi No.479 F, Tanjung Sari, Medan, 20132, Indonesia; Mechanical Engineering Universitas HKBP Nommensen, Jalan Sutomo No.4A, Medan, 20234, Indonesia; Biology Department, Faculty of Mathematics and Natural Science, Universitas Negeri Medan, Jalan Willem Iskandar Pasar, Medan, 20221, Indonesia; Department of Computer Science, Universitas Negeri Medan, Indonesia