Indonesian Journal of Business Intelligence (IJUBI)
Vol 2, No 1 (2019): Indonesian Journal of Business Intelligence (IJUBI)

PERANCANGAN SISTEM PAKAR DIAGNOSA PENYAKIT GIGI MENGGUNAKAN ALGORITMA BAYES

Sri Ngudi Wahyuni (Unknown)
Lila Garjita (Unknown)

Article Info

Publish Date
27 Jun 2019

Abstract

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

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Journal Info
Indonesian Journal of Business Intelligence (IJUBI)
Website

Abbrev

IJUBI

Publisher

Universitas Alma Ata Yogyakarta

Subject

Computer Science & IT Decision Sciences, Operations Research & Management

Description

Fokus jurnal adalah karya inovatif pada analisis, desain, pengembangan, implementasi, evaluasi program, proyek, dan produk sistem informasi dalam manajemen strategis dan intelijen bisnis. ...