PERANCANGAN SISTEM PAKAR DIAGNOSA PENYAKIT GIGI MENGGUNAKAN ALGORITMA BAYES

Abstract

Dental disease is a health problem in Indonesia, many people complain about it. In 2013 Indonesia's basic health research that 25.9% of Indonesia's population had dental and mouth problems. The public awareness to maintain dental and oral health is still low at around 13.1%. In addition, there is a lack of a number of dentists, causing the high cost of dental examinations. The expert system of Dental Disease Diagnosis System is a solution which can to detect symptoms of dental disease early before go to doctors.The Bayes algorithm is one of methods which efisien to use in expert system for developing it. The bayes algorithm is accurate to diagnose early dental diseases, by entering a diagnosis - an alternative probability value of the disease and symptoms obtained from an expert.