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