PELS (Procedia of Engineering and Life Science)
Vol 1 No 2 (2021): Proceedings of the 2nd Seminar Nasional Sains 2021

Web-Based Expert System for Diagnosing Gastric Disease Using Bayes Theorem Method

Ayu Anggilina (Unknown)
Ade Eviyanti (Universitas Muhammadiyah Sidoarjo)



Article Info

Publish Date
04 Jul 2021

Abstract

Health is a very expensive thing, so it takes an awareness to protect it. The human body has many limbs, one of which is the stomach. Gastric disease is a disease that cannot be accommodated, because if left untreated it can cause other diseases to arise and can also cause death if it is not immediately supported. Gastric disease can be caused by an inappropriate diet, a burden on the mind and also an infection caused by bacteria. The author took the initiative to create a web-based gastric disease diagnosis expert system using the Bayes theorem method which is useful for gastric disease sufferers in diagnosing their own gastric disease. The method used by researchers is the Bayes theorem method. The data collection technique used is quantitative data techniques. The results that have been achieved from this research are that it can prevent and minimize the risk of gastric disease in sufferers or the community.

Copyrights © 2021






Journal Info

Abbrev

PELS

Publisher

Subject

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

Description

PELS (Procedia of Engineering and Life Science) is an international journal published by Faculty of Science and Technology Universitas Muhammadiyah Sidoarjo. The research article submitted to this online journal will be double blind peer-reviewed (Both reviewer and author remain anonymous to each ...