Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal Buletin Ilmiah Ilmu Komputer dan Multimedia (BIIKMA)
Elang Pramana Putra
Unknown Affiliation
Computer Science & IT Control & Systems Engineering

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Analisa Sistem Pakar Diagnosa Penyakit Lambung Menggunakan Metode Forward Chaining Ananda Safitri; Elang Pramana Putra; Muhammad Agung Prasetio; Widya Puspita Cahyani; Perani Rosyani
Buletin Ilmiah Ilmu Komputer dan Multimedia Vol 1 No 1 (2023): Buletin Ilmiah Ilmu Komputer dan Multimedia (BIIKMA) INPRESS
Publisher : Shofanah Media Berkah

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Diagnosing gastric disease is a challenge in the medical field because of its often similar symptoms and the complexity associated with other factors that can affect a patient's condition. The expert system has become an interesting approach in diagnosing gastric diseases because of its ability to mimic the intelligence and knowledge of a medical expert. In this study, we conducted an analysis of the Gastric Disease Diagnosis Expert System using the Forward Chaining method with a Systematic Literature Review (SLR) approach. The Forward Chaining method is used for inference based on the rules and facts of the symptoms collected, while the Systematic Literature Review (SLR) is used to analyze the relevant literature to gain a comprehensive understanding of the use of the Forward Chaining method in the diagnosis of gastric diseases. The results of our analysis provide important insights into the implementation, advantages, solution and platfrom of using the Forward Chaining method in an expert system for diagnosing gastric diseases.
Co-Authors Ananda Safitri Muhammad Agung Prasetio Perani Rosyani Widya Puspita Cahyani