Perbandingan Metode Fuzzy Mamdani, Sugeno dan Tsukamoto dalam Mendiagnosa Penyakit Diabetes Melitus
Keywords:
Diabetes, Fuzzy, Mamdani, Sugeno, Tsukamoto.Abstract
Health is very important for humans because, without good health, humans will find it difficult to carry
out all their activities. However, many diseases can cause death in humans. One of them is Diabetes Mellitus.
Diabetes is a metabolic disorder characterized by hyperglycemia (hyperglycemia) as a result of inadequate insulin
secretion, decreased insulin activity, or both. Chronic hyperglycemia in diabetes is associated with long-term
damage or dysfunction of several organs in the body, especially the eyes, kidneys, nerves, heart, and blood vessels.
Experts can use several fuzzy logic methods to predict diabetes symptoms. In this study, we compared three fuzzy
logic methods to detect diabetes, namely the Mamdani Fuzzy Method, the Tsukamoto Fuzzy Method, and the Sugeno
Fuzzy Method. The fuzzy method used this time is intended to be used to determine the level of accuracy in detecting
diabetes. The comparison results show that the Sugeno method is superior, with the highest accuracy and the lowest
error value.
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