SAINTEK
Vol. 4 No. 1 (2025): Seminar Nasional Sains dan Teknologi (SAINTEK) ke 4 - Februari 2025

Implementasi Metode Forward Chaining Untuk Mendiagnosa Penyakit Tumor Otak

Isarianto (Unknown)
Melinda Indriani (Unknown)



Article Info

Publish Date
08 Feb 2025

Abstract

Expert systems can assist people in conducting early disease diagnosis by simulating expert knowledge in answering questions and providing solutions. This web-based application enables users to obtain analysis results regarding appropriate treatment and necessary medical actions based on their symptoms. At Central Medika Hospital, consultations are limited to specific doctor practice hours and involve relatively high fees. As a result, patients experiencing symptoms such as severe headaches resembling brain tumor indications outside practice hours must wait for examination, potentially delaying treatment. To address this issue, a brain tumor diagnostic expert system was developed using a rule-based approach with the Forward Chaining algorithm. The system was built using the Waterfall development method, with MySQL as the database and PHP and HTML as the programming languages. The research involved two types of testing: functional testing using Black-box testing and accuracy testing of the Forward Chaining calculations. The results showed that the system functioned very well, and the accuracy test achieved a result of 100%, indicating that the system’s diagnostic conclusions were fully consistent with the predefined rules.

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Journal Info

Abbrev

SAINTEK

Publisher

Subject

Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Engineering Industrial & Manufacturing Engineering

Description

Prosiding Sains dan Teknologi (SAINTEK) merupakan wadah publikasi dari hasil penelitian yang telah dipresentasikan pada Seminar Nasional Sains dan Teknologi (SAINTEK) yang diselenggarakan setiap tahun oleh Fakultas Teknik Universitas Pelita Bangsa. Penelitian yang dipublikasikan bersifat ...