PERBANDINGAN TINGKAT PERFORMA METODE FUZZY SUGENO DAN FUZZY MAMDANI DARI ATURAN RIPPER UNTUK MENDIAGNOSIS PENYAKIT LIVER

Liver disease is an inflammatory disease of the liver with death rates according to WHO data 1-2 million per year especially in Asian and African countries, this proved to be very high risk of death caused by liver disease. The number of disease risk factors that have similarities with other similar diseases such as hepatitis, cause clouds will be difficult in knowing the symptoms of this disease, so that the layman needs a tool to make a diagnosis of this disease. To facilitate the inner layman. One method that can be used to combine data with the problem of ketidakpstian or not accuracy is fuzzy method. In this research will be used fuzzy method in process of diagnosis of heart with level of performance resulting from fuzzy sugeno and fuzzy mamdani method. To produce a diagnostic result, the fuzzy method requires an input rule used in the testing process. The output itself can be generated from a data, one such algorithm RIPPER will be used for the rule-making method used in the fuzzy sugeno and fuzzy mamdani methods. With fuzzy mamdani method spesificity 63% and accuracy 74%, and fuzzy mamdani excel in sensitivity that is 92% compared with fuzzy sugeno method that is 58%. The fuzzy sugeno method can be used to assist doctors in diagnosing negativity patients, the fuzzy sugeno method can be used to assist physicians in diagnosing positive patients' liver.