Jurnal Media Computer Science
Vol 5 No 1 (2026): Januari

Expert System for Diagnosing Hepatitis Disease Using the Forward Chaining Method

Yessi Mardiana (Uiversitas Dehasen Bengkulu)
Devina Nino Sari (Universitas Dehasen Bengkulu)
Nofi Qurniati (Universitas Dehasen Bengkulu)



Article Info

Publish Date
28 Jan 2026

Abstract

Hepatitis is a liver disease characterized by inflammation. Inflammation is indicated by elevated liver enzyme levels, which are caused by disruption or damage to the liver membrane. Given the significant negative impact of this disease, serious prevention and treatment of the dangers of hepatitis are necessary. Efforts to minimize these risks can be achieved by increasing public awareness of the factors that can cause hepatitis. Therefore, a system is needed that can serve as an alternative to consulting a doctor for the general public. The purpose of this research is to develop an expert system that can serve as an initial solution in the treatment of hepatitis. In its implementation, this expert system uses the forward chaining method. In this method, data is used to determine which rules will be executed to achieve a result. Based on the testing conducted, it can be concluded that this expert system application can be used by users for the early diagnosis of hepatitis

Copyrights © 2026






Journal Info

Abbrev

jmcs

Publisher

Subject

Computer Science & IT

Description

Jurnal Media Computer Science merupakan jurnal nasional yang diterbitkan oleh Universitas Dehasen Bengkulu sejak tahun 2022. Jurnal Media Computer Science memuat artikel hasil-hasil penelitian di bidang Komputer, Sistem Informasi dan Teknologi. Jurnal Media Computer Science berkomitmen untuk menjadi ...