Aplikasi Pengambilan Keputusan dengan Metode Tsukamoto pada Penentuan Tingkat Kepuasan pelanggan

Venny Riana Riana Agustin, Wahyu Henky Irawan

Abstract


Tsukamoto method is one method of fuzzy inference system on fuzzy logic for decision making. Steps of the decision making in this method, namely fuzzyfication (process changing the input into kabur), the establishment of fuzzy rules, fuzzy logic analysis, defuzzyfication (affirmation), as well as the conclusion and interpretation of the results. The results from this research are steps of the decision making in Tsukamoto method, namely fuzzyfication (process changing the input into kabur), the establishment of fuzzy rules by the general form IF a is A THEN B is B, fuzzy logic analysis to get alpha in every rule, defuzzyfication (affirmation) by weighted average method, as well as the conclusion and interpretation of the results. On customers at the case, in value of 16 the quality of services, the value of 17 the quality of goods, and value of 16 a price, a value of the results is 45,29063 and the level is low satisfaction

Keywords


fuzzy logic; Tsukamoto method; customer satisfaction

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References


T. J. Ross, Fuzzy Logic with Engineering Applications Third Edition, Mexico: John Willey & Sons, Ltd, 2010.

S. Kusumadewi and H. Purnomo, Aplikasi Logika Fuzzy untuk Pendukung Keputusan, Yogyakarta: Graha Ilmu, 2004.

G. Chen and T. T. Pham, Introductions to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems, New York: CRC Press, 2001.

F. Susilo, Himpunan dan Logika Kabur serta Aplikasinya, Yogyakarta: Graha Ilmu, 2006.




DOI: http://dx.doi.org/10.18860/ca.v4i1.3168

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