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Ni'matu Zahroh
Universitas Muhammadiyah Sidoarjo
Computer Science & IT Control & Systems Engineering Education Library & Information Science Mathematics

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EXPERT SYSTEM DIAGNOSIS OF OVARIUM CELL DISEASE USING CERTAINTY FACTOR METHOD WEB-BASED Ni'matu Zahroh; Yulian Findawati
JUST IT : Jurnal Sistem Informasi, Teknologi Informasi dan Komputer Volume 8 No 2 Tahun 2018
Publisher : Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/justit.8.2.76-80

Abstract

Ovarian cyst disease is a disease that is often experienced by a woman, the disease is very complicated, smooth and unique, because this disease mirim with pregnancy and could be all women have the risk of this disease.The expert system of ovarian cyst disease diagnosis is a web application that allows users to diagnose ovarian cyst disease they are experiencing. The purpose of making this application is to facilitate the user in diagnosing the type of ovarian cyst disease based on the symptoms that are being felt.In the use of expert system application of this ovarian cyst disease diagnosis, the user must register first to get a username and password that will be used to log on expert system and diagnose ovarian cyst disease. The method used is certainty factor that is by accommodating the uncertainty of an expert's thinking, or expressed the belief in an event that is fact or hypothesis.
Co-Authors Yulian Findawati