IMPLEMENTASI ALGORITMA NAIVE BAYES DALAM DIAGNOSA PENYAKIT TELINGA

Abstract

The development of the world of technology provides a more modern view of life. This development has penetrated all areas of life, including the health sector. The ear is an organ that functions to hear and maintain body balance because it is located close to the brain and nerves throughout the body. Ears are known to be sensitive and vulnerable considering the small size of the ear and other supporting organs around it and the humidity factor which can trigger fungus. The public's understanding of ear disease is still very poor, most people are not medically trained so if they experience symptoms of the disease they will not necessarily be able to understand how to treat it. It would be a shame if symptoms that could have been treated earlier become more serious illnesses due to lack of knowledge. This is what prompted the birth of the expert system concept. The aim of using an expert system is so that people can solve the problems they face using the knowledge possessed by experts without having to ask the experts directly. With this expert system, ordinary people are able to detect ear disease in themselves based on the symptoms they feel. To identify the diagnosis of ear disease, the method used is the Naive Bayes Method so as to produce information that is useful for the public. The accuracy of the diagnosis results in the system with a doctor's diagnosis is 90% correct from the results of 10 patient diagnosis trials.