Metode Forward Chaining untuk Diagnosa dan Penanganan Penyakit Stroke dengan Sistem Pakar

This research aims to develop a web-based expert system with the Forward Chaining method that can diagnose and provide treatment for people with stroke disease. The expert system will be used to help the diagnosis process by analyzing the symptoms reported by the patient. The Forward Chaining method will be used as an inference approach in this expert system. The system will use a knowledge base that contains medical rules obtained from experts. The inference process will be carried out by linking the symptoms reported by the patient with the information in the knowledge base to determine possible diagnoses and appropriate treatments. This expert system will be implemented in the form of a web-based application that can be accessed by the general public. The results of this study show that the expert system to diagnose and provide treatment using the forward chaining method is successfully built and the application can be used to help the general public diagnose by entering the symptoms felt and the expert system will provide diagnostic results and provide treatment.

Authors

Publication Details

Journal
Merkurius Jurnal Riset Sistem Informasi dan Teknik Informatika
Published
2024-08-23
DOI
https://doi.org/10.61132/merkurius.v2i5.351
Primary Topic
Computer Science and Engineering
Type
article
Field-Weighted Citation Impact
0.00
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article

Metode Forward Chaining untuk Diagnosa dan Penanganan Penyakit Stroke dengan Sistem Pakar

Rhima Diana, Ryci Rahmatil Fiska
Merkurius Jurnal Riset Sistem Informasi dan Teknik Informatika
Computer Science and Engineering
article

Metode Forward Chaining untuk Diagnosa dan Penanganan Penyakit Stroke dengan Sistem Pakar

Rhima Diana, Ryci Rahmatil Fiska
article en

Abstract

This research aims to develop a web-based expert system with the Forward Chaining method that can diagnose and provide treatment for people with stroke disease. The expert system will be used to help the diagnosis process by analyzing the symptoms reported by the patient. The Forward Chaining method will be used as an inference approach in this expert system. The system will use a knowledge base that contains medical rules obtained from experts. The inference process will be carried out by linking the symptoms reported by the patient with the information in the knowledge base to determine possible diagnoses and appropriate treatments. This expert system will be implemented in the form of a web-based application that can be accessed by the general public. The results of this study show that the expert system to diagnose and provide treatment using the forward chaining method is successfully built and the application can be used to help the general public diagnose by entering the symptoms felt and the expert system will provide diagnostic results and provide treatment.

Merkurius Jurnal Riset Sistem Informasi dan Teknik InformatikaVol. 2(5)
Openalex Percentile: Top 84%
Computer Science and Engineering
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