Article Per Year (5 Year)
p-Index From 2021 - 2026
2.42
P-Index
This Author published in this journals
All Journal Jurnal Computech & Bisnis (e-Journal) ELINVO (Electronics, Informatics, and Vocational Education) JAIS (Journal of Applied Intelligent System) Voice Of Informatics CSRID (Computer Science Research and Its Development Journal) SENSITEK E-JURNAL JUSITI : Jurnal Sistem Informasi dan Teknologi Informasi Informatics Management, Engineering and Information System Journal Journal of Economics, Management, and Entrepreneurship Jurnal Sistem Informasi dan Teknologi Informasi Journal of Economics, Management, and Entrepreneurship
Egi Badar Sambani, Egi Badar
STMIK Mardira Indonesia, Bandung
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Library & Information Science Social Sciences Other

Published : 21 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 21 Documents
Search

 1   2   3 
Implementation Of The Case Based Reasoning (CBR) Expert System Method For Heart Disease Diagnosis Based On Patient Symptom History: Case Study Of Mitra Lewo Clinic Jamaludin, Ikbal; Baehaqi, Ahmad; Sambani, Egi Badar
Jurnal Computech & Bisnis (e-journal) Vol. 19 No. 2 (2025): Jurnal Computech & Bisnis (e-Journal)
Publisher : LPPM STMIK Mardira Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56447/vhke3d34

Abstract

Cardiovascular disease ranks among the primary causes of mortality in Indonesia.  An expedient and precise diagnostic method is crucial, particularly in primary healthcare settings such as Klinik Mitra Lewo, which face constraints on medical personnel.  This research aims to develop a web-based expert system using the Case-Based Reasoning (CBR) methodology to support preliminary diagnosis of heart disease based on a patient's symptom history.  The CBR approach functions by juxtaposing new patient symptoms with historical cases via the stages of Retrieve, Reuse, Revise, and Retain.  This system is developed using an Object-Oriented Software Engineering (OOSE) methodology and implemented in PHP using the CodeIgniter framework.  System testing employs black-box testing techniques to verify that each functionality satisfies user requirements.  The research findings demonstrate that the system can offer pertinent initial diagnostic recommendations and assist medical professionals in decision-making.  Consequently, an expert system can be a valuable asset in healthcare, especially when medical resources are constrained.
Co-Authors Ahmad Baehaqi, Ahmad Apriantsani, Dheni Asep Mulyana Ati Nursahati Awit Marwati Sakinah Dadang Mulyana Dani Rohpandi Deny Erwandi Evi Dewi Sri Mulyani Fahmi Akbar Fauzi Fauzi, Fahmi Akbar Firham Mulady Fitri Nuraeni Haris Supriatna Hidayatuloh, Ade Taopik Ikbal Jamaludin Irfan Maulana Kautsar, Ray Jati Latif, Dadang Marlina, Rina Miftah Fahmi Mohammad Hamdani Mohammad Hamdani, Mohammad Muhamad Satrio Nugraha Muhammad Rizki Nugraha Nensi Mardhiani Surgawi Nono Sudarsono Nurrohman, Zaki Pitriah Nopitasari Riesy Putri Navia Rizal Rachman, Rizal Saputra, Raka Aditya Shinta Siti Sundari Sidik, Rais Akbar Srihermaning, Nova _ Tay, En Teuku Mufizar Toni Kusnandar Widya Octaviani Yoga Handoko Agustin Yuda Purnama Putra Yundari, Yundari