PERANCANGAN SISTEM PAKAR DIAGNOSA PENYAKIT GIGI MENGGUNAKAN ALGORITMA BAYES

Sri Ngudi Wahyuni; Lila Garjita

doi:10.21927/ijubi.v2i1.1020

Vol. 2 No. 1 (2019): Indonesian Journal of Business Intelligence (IJUBI):: DOI : https://doi.org/10.21927/ijubi.v2i1.1020
Published : Jun 27, 2019

Sri Ngudi Wahyuni ⁽¹⁾, Lila Garjita ⁽²⁾

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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.

References

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H. T. Sihotang, â€œPerancangan Aplikasi Sistem Pakar Diagnosa Diabetes Dengan Metode Bayesâ€, Jurnal Mantik Penusa, Volume 1 No. 1 Juli, e-ISSN 2580-9741, 2017.

P.S. Ramadhan, â€œSistem Pakar Pendiagnosaan Dermatitis Imun Menggunakan Teorema Bayesâ€, Jurnal Informatika dan Teknologi Jaringan, ISSN 240-7600, Vol 3, No 1, September 2018

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Total 1 Author's Countries
	Indonesia	(182)

Indonesian Journal of Business Intelligence (IJUBI)

PERANCANGAN SISTEM PAKAR DIAGNOSA PENYAKIT GIGI MENGGUNAKAN ALGORITMA BAYES

Abstract:

References