Open AccessImplementation of the sugeno fuzzy logic method in identifying the quality of coffee beans
Author(s) -
Tonni Limbong,
Parulian Siagian,
Tumiur Gultom,
Janner Simarmata
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/725/1/012134
Subject(s) - quality (philosophy) , fuzzy logic , identification (biology) , mathematics , computer science , measure (data warehouse) , data mining , artificial intelligence , botany , philosophy , epistemology , biology
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.