Analisis Perbandingan Metode Logika Fuzzy Untuk Mendiagnosis Penyakit Diabetes Melitus
Keywords:
Fuzzy Logic, Mamdani, Tsukamoto, SugenoAbstract
Diabetes Mellitus is a disease caused by high levels of sugar in the blood. Generally, this disease is often
felt and experienced in adults, this occurs when the body tries to hold back insulin or does not produce enough
insulin. With the increasing number of people with Diabetes Mellitus, researchers continue to try to find a cure for
this disease. The fuzzy logic method can be used to produce fairer decisions and can diagnose diabetes mellitus. In
this study, a comparison of five journals with three fuzzy logic methods was carried out, namely the Mamdani Fuzzy
Method, the Sugeho Fuzzy Method, and the Tsukamoto Fuzzy Method. The fuzzy method used is expected to
determine the method that has a high level of accuracy in diagnosing diabetes mellitus. From the comparison
results, it is known that the Mamdani method has an accuracy value of 96% to 100% higher than the Sugeno and
Tsukamoto methods.
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