Penentuan Jumlah Produksi dengan Pendekatan Fuzzy Sugeno (Studi Kasus: Pt Hutahaean Perkebunan Dan Pabrik Tapioka)

Abstract

The problems that arise in the industrial world often have no definite answer, fuzzy logic is one method to analyze the uncertain system. This research discusses the application of fuzzy logic in production by the method of problem solving Sugeno approach. Problem that is solved is how to determine if the production of goods using only two variables as input data, namely: demand and supply. The first step in resolving the production of goods using the Sugeno method is determining the input variables and output variables which are firmly set, the second step is changing the input variables into a fuzzy set with fuzzifikasi process, then the third step is the set of fuzzy data processing by the method of maximum. The final step or the fourth is to change the output to be set firmly in the defuzzifikasi the centroid method, so that it will obtain the desired result on the output variable. Production problem resolution using Sugeno method has a constant output or system of linear equations. The fuzzy curve of “shoulder” shape is used to represent the fuzzy goal constraints limit of tolerance. Model of fuzzy goal constraints are solved by software matlab 6.1 toolbox fuzzy so that the resulting optimal production for each month during the period of 2011