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All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA Building of Informatics, Technology and Science
Ari Dermawan
STMIK Royal, Kisaran
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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Sistem Pakar Diagnosa Penyakit Pencernaan Menggunakan Metode Case Based Reasoning (CBR) Berbasis Web Arfian Jumintar Sitorus; Jhonson Efendi Hutagalung; Ari Dermawan
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 4 (2022): Oktober 2022
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i4.4764

Abstract

The main factors causing digestive disorders are food that is not good in terms of hygiene and health, nutritional balance, improper diet, infection, and abnormalities in the digestive organs so that they will contract several digestive diseases such as appendicitis, ulcers, stomach ulcers, hepatitis. , diarrhea and constipation. Early treatment is needed before consulting specifically with a digestive disease specialist before the disease is severe. In this case, it is necessary to have a system that can replace specialist doctors in diagnosing early symptoms of digestive diseases considering the high cost of consulting a doctor. This diagnostic expert system is very much needed in diagnosing early symptoms of the causes of digestive diseases. The application of the system is equipped with a Case Based Reasoning that solves new cases based on reasoning from old cases. The implementation has resulted in gastric cancer of 67.01% according to the symptoms selected by the patient, then the system also provides treatment advice, and provides information on the handling or treatment of gastric cancer, so that with this application it can help doctors in diagnosing the disease quickly.
Sistem Pakar Untuk Mendeteksi Penyakit Mata Menerapkan Metode Case Based Reasoning Norma Jaya Telambanua; Nofriadi Nofriadi; Ari Dermawan
Building of Informatics, Technology and Science (BITS) Vol 4 No 2 (2022): September 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i2.2116

Abstract

The problem that is often faced by the general public is the difficulty of knowing the occurrence of eye disease in humans because it is caused by different symptoms, so if the eye is disturbed and we ignore it, it could be an early symptom of eye disease that can be fatal. Given that experts and practice hours are limited, so that patients cannot consult experts anytime and anywhere, an expert system is needed. The existence of an expert system can solve problems that occur because the expert system uses an appropriate method. In the expert system, the method used to diagnose an eye disease is the Case Based Reasoning (CBR) method, which is a reasoning process for a previous similar case. In the experiment, it is proven by looking for the level or value of the new case data approach with the old case data data for reference in making decisions on new cases. Therefore, the authors build an expert system application to diagnose disease. In this system the inference used is Case Based Reasoning because the process is carried out to recognize the disease and its symptoms and early characteristics of the disease. The development of this web-based system uses the PHP and Mysql programming languages ​​as the database. This expert system can represent an expert in the field of eye disease to find out eye diseases based on existing characteristics and symptoms and can provide solutions if there are diseases suffered by patients
Co-Authors Arfian Jumintar Sitorus Jhonson Efendi Hutagalung Nofriadi Nofriadi Norma Jaya Telambanua