Much Aziz Muslim, ILKOM UNNES and IIN KURNIAWATI, MATEMATIKA UNNES and Endang Sugiharti, ILKOM UNNES (2015) EXPERT SYSTEM DIAGNOSIS CHRONIC KIDNEY DISEASE BASED ON MAMDANI FUZZY INFERENCE SYSTEM. Journal of Theoretical and Applied Information Technology, 78 (1). ISSN 1992-8645

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Abstract

Expert systems are computer-based system that uses knowledge, facts and reasoning techniques in solving problems that usually can only be solved by an expert in a particular field. In this research, expert systems are used for the diagnosis of Chronic Kidney Disease. The purpose of this research is to develop an expert system diagnosis of Chronic Kidney Disease based on Mamdani Fuzzy Inference System and determine the level of system accuracy in diagnosis of Chronic Kidney Disease. There are four processes in this method, namely fuzzification, implications, composition of the rules and defuzzification. Agile Method was used for software development in a systematic way. In this research, A simulation of expert system was built using Matlab R2009a. The accuracy expert system of diagnosis Chronic Kidney Disease is calculated using the Confusion Matrix. Based on results of the research, showed that bisector method generate the highest level of accuracy

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