SISTEM PAKAR DIAGNOSIS DINI JENIS PENYAKIT KARIES GIGI MENGGUNAKAN METODE BAYESIAN NETWORK

SANDHO, KURNIAWAN ARI and Yunita, Yunita and Oktadini, Nabila Rizky (2021) SISTEM PAKAR DIAGNOSIS DINI JENIS PENYAKIT KARIES GIGI MENGGUNAKAN METODE BAYESIAN NETWORK. Undergraduate thesis, Sriwijaya University.

	Text RAMA_55201_09021381621107.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (3MB) | Request a copy
	Text RAMA_55201_09021381621107_TURNITIN.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (4MB) | Request a copy
Preview	Text RAMA_55201_09021381621107_0006068305_0010109104_01_front_ref.pdf - Accepted Version Available under License Creative Commons Public Domain Dedication. Download (905kB) | Preview
	Text RAMA_55201_09021381621107_0006068305_0010109104_02.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (251kB) | Request a copy
	Text RAMA_55201_09021381621107_0006068305_0010109104_03.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (168kB) | Request a copy
	Text RAMA_55201_09021381621107_0006068305_0010109104_04.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (936kB) | Request a copy
	Text RAMA_55201_09021381621107_0006068305_0010109104_05.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (240kB) | Request a copy
	Text RAMA_55201_09021381621107_0006068305_0010109104_06.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (27kB) | Request a copy
	Text RAMA_55201_09021381621107_0006068305_0010109104_06_ref.pdf - Bibliography Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (84kB) | Request a copy
	Text RAMA_55201_09021381621107_0006068305_0010109104_07_lamp.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (164kB) | Request a copy

Abstract

Dental and oral health is one component of health that can affect the general development of humans. One of the most common dental and oral health problems is dental caries. Dental caries is a disease of the hard tissues of the teeth due to bacterial activity resulting in (softening) of the hard tissues of the teeth followed by the formation of cavities (cavities). Where dental caries is classified as a serious disease. Therefore, this study developed an expert system for early diagnosis of dental caries using the Bayesian Network method where a comparison was made of the data obtained from the Gelumbang Health Center with the system that had been created to determine the accuracy of the system. By using 100 patient data and diagnosing 16 symptoms of dental caries obtained by interviewing experts, the accuracy results obtained from this study were 87%. So it is concluded that the system built using the Bayesian Network method has good accuracy in determining the type of dental caries experienced by the patient. Keywords : Bayesian Network, Dental Caries, Dental and Oral Health, Expert System.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Sistem Pakar, Kesehatan Gigi
Subjects:	R Medicine > R Medicine (General) > R858-859.7 Computer applications to medicine. Medical informatics
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Kurniawan Ari Sandho
Date Deposited:	22 Jul 2021 02:41
Last Modified:	22 Jul 2021 02:41
URI:	http://repository.unsri.ac.id/id/eprint/49929

Actions (login required)

View Item