Open AccessAn Expert System For Diagnosis Eye Diseases On Human Using Certainty Factor Method Based Web
Author(s) -
Bayu Angga Wijaya,
Juliansyah Putra Tanjung
Publication year - 2020
Publication title -
sinkron
Language(s) - English
Resource type - Journals
eISSN - 2541-2019
pISSN - 2541-044X
DOI - 10.33395/sinkron.v5i1.10579
Subject(s) - certainty , expert system , action (physics) , value (mathematics) , computer science , disease , risk analysis (engineering) , artificial intelligence , optometry , medicine , machine learning , pathology , mathematics , physics , quantum mechanics , geometry
The eye is the important senses. If the eye is disrupted and ignore it, it will disturb the sufferer. In fact, many people delay to checked eye diseases suffered, due to the lack of knowledge society, the cost is quite expensive and the imbalance between patients and doctors so that should be queued if will check the eye health. It is necessary for the expert system that can diagnose eye diseases, so a layman can be checked their eye diseases suffered without having to go to the doctors. This expert system is based on web with the programming language PHP and MySQL database. In the process of withdrawal conclusion, system using the certainty factors methodthat use a value to assume degree of confidence from an experts to a data. Expert system provides results in the form of the possibility of illness suffered, the value of the percentage of beliefs from the illness and the treatment solution based on the value of confidencethat given. So it can help the people to know the eye disease their suffered and the action can be done faster