MENENTUKAN PENERIMA KPS MENGGUNAKAN FUZZY INFERENCE SYSTEM METODE TSUKAMOTO

Sugianti .* -  Fakultas Teknologi Industri Universitas Islam Indonesia Yogyakarta, Indonesia

DOI : 10.24269/mtkind.v10i1.238

Social assistance programs launched by the Government, in particular the first Cluster program got more attention from the citizens of society. In order to reach out  the objectivity and efficiency, determining of  recipient households assistance program, we need a decision support system that allows the authorities villages / wards in decision making. In this study constructed a prototype system to define the  poor household who receivet KPS using Fuzzy Inference System Tsukamoto method using 14 BPS’s criterias poverty. As the output of the system are a score of household, status on aid, and the number of villages / wards. The conclusion obtained in this study is the system can be run in accordance with the parameters specified poverty, able to adjust the poverty conditions of different regions poverty index.

Keywords
FIS Tsukamoto, Fuzzy Inference System Tsukamoto, Fuzzy system, poor family determiner, fuzzy compilation
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Submitted: 2016-10-27
Published: 2016-10-27
Section: Artikel
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