Selasa, 17 April 2012

COMPERATIVE ANALIYSIS METHOD TSUKAMOTO INFERENCE SYSTEM AND MAMDANI IN THE DETERMINATION OF SUGAR PRODUCTION ESTIMATED TOTAL

By : Widiya Anggraeni Hadiyanti
Supervisor :  Anton Setiawan Honggowibowo, Maya Suhayati


ABSTRACT
PT Madu Baru Yogyakarta s a company that produces sugar. Many factors must be considered in determining the mount of production generated annually. For that, in determining the mount of production per year required and analysis of decision support systems analysis will be done applying Method of Fuzzy Inference System Tsukamoto end Method Inference  System Mamdani using the min as function of its implications, the from each rule give nextplicitly (scrip) by the smallest degree of membership (Defuzzifikasi), the final result by applying a weighted average for Fuzzy Inference System  defuzzyfikasi begins the composition rules between Max and the Method apllied taking the center point (z*) fuzzy area.
With the comparison method of Fuzzy Inference System and Method of Fuzzy Inference System Mamdani, obtained the most appropriate methods and approaches in determining the estimated amount of sugar production, in order to obtain an output that is the amount of sugar per year.
 With statistical tests, it can be concluded that the method is relatively close to the calculation method of the factory is Tsukamoto, because the method of Tsukamoto had a lower mean than the mean on the -7,960.42 Mamdani method is 21710.14.


Keywords : Analysis, Fuzzy Logic Inference System Tsukamoto and Mamdani, the determination of the estimate
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