DIAGNOSA JENIS PENYAKIT HEPATITIS MENGGUNAKAN METODE NAIVE BAYES

SILALAHI, VERONIKA and Utami, Alvi Syahrini and Yusliani, Novi (2021) DIAGNOSA JENIS PENYAKIT HEPATITIS MENGGUNAKAN METODE NAIVE BAYES. Undergraduate thesis, Sriwijaya University.

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Abstract

Hepatitis is a disease that attacks the liver which can be caused by viral infection or can also be caused by other diseases or other conditions, under certain conditions hepatitis can cause complications if not immediately checked and treated. Diagnosing hepatitis is not an easy thing for the general public. In this case the expert system can help deal with the problem by building a system that the community can use to find a solution. To diagnose the disease, an uncertainty methode is needed in diagnosing hepatitis. The naïve bayes methode is one of the uncertainty methodes that is suitable to be applied in the problem of classifying the types of hepatitis. The implementation of naïve bayes in the application is to calculate the probability of the disease suffered by the patient based on the weight of the expert confidence level for each symptom that has been input by the patient with the existing symptoms in the system. The total amount of data tested amounted to 30 data. The accuracy of the results reached 93,33%.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Sistem Pakar, Naive Bayes, Hepatitis.
Subjects:	T Technology > TP Chemical technology > TP1-1185 Chemical technology > TP159.C3.A348 Catalysts. TECHNOLOGY & ENGINEERING / Material Science
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Veronika Silalahi
Date Deposited:	16 Sep 2021 01:33
Last Modified:	16 Sep 2021 01:33
URI:	http://repository.unsri.ac.id/id/eprint/54057

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