Jurnal Teknik Informatika (JUTIF)
Vol. 3 No. 6 (2022): JUTIF Volume 3, Number 6, December 2022

USING FORWARD CHAINING METHODS TO DIAGNOSE CHOLESTEROL DISEASE USING THE WEB

Venny Octavia (Program Studi Sistem Informasi, STMIK Royal Kisaran, Indonesia)
Jhonson Efendi Hutagalung jhonson (Program Studi Teknik Komputer, STMIK Royal Kisaran, Indonesia)
Cecep Maulana Cecep (Program Studi Sistem Informasi, STMIK Royal Kisaran, Indonesia)



Article Info

Publish Date
26 Dec 2022

Abstract

Cholesterol disease can attack humans, both young and adult, in this case it is necessary to do a quick diagnosis to provide basic knowledge about cholesterol disease to sufferers. Advances in expert systems can overcome this problem, namely by designing a web-based computer system that is integrated with databases and programming languages ​​such as PHP-MySQL so that it can help cholesterol patients to diagnose the disease. The expert system application in its decision making uses a forward chaining inference engine where the goal driven data will start a search on the initial node to the goal node until it gets results. The results of the implementation of the system, namely the system provides questions in the form of symptoms that must be answered by the patient based on the symptoms experienced by the patient and the results of the process the system will provide information on what type of cholesterol disease he is experiencing in order to get a solution with treatment and handling. System that works with a knowledge base search that is able to provide decisions by utilizing an expert knowledge base.

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Journal Info

Abbrev

jurnal

Publisher

Subject

Computer Science & IT

Description

Jurnal Teknik Informatika (JUTIF) is an Indonesian national journal, publishes high-quality research papers in the broad field of Informatics, Information Systems and Computer Science, which encompasses software engineering, information system development, computer systems, computer network, ...