Sistem Pakar Diagnosa Penyakit Telinga Hidung Tenggorokan (THT) Menggunakan Metode Forward Chaining dan Certainty Factor Berbasis Web
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Institusion
STMIK Bumi Gora
Author
Dirgantara, Bhintang
Subject
T201 Patents. Trademarks
Datestamp
2020-08-28 06:21:47
Abstract :
Currently Ear, Nose and Throat (ENT) has become a disease that is quite common in the world. In Indonesia, people with ENT disease are around 190-230 per 1000 population. This application uses Forward Chaining and Definitty Factor methods. The types of disease researched in this study were Serous Orthitis Media, Nasal Polyps, Acute Pharyngitis, Retrofaryngeal Abscess, and Nafosaryngeal Carcinoma. The purpose of making this expert system is to make it easier for patients to see what diseases they are suffering from, as well as to facilitate medical staff in the ENT patient environment.The stages of developing an expert system in this study consisted of problem identification for problem domain analysis and functional requirements analysis, knowledge acquisition was used to obtain the MB and MD value of each symptom in ENT with the interview method, the existence of an expert system of ENT disease diagnosis can make it easier for doctors to make decisions, or the right diagnosis of a symptom that arises in ENT, so that proper treatment is obtained and minimizes the occurrence of misdiagnosis
Currently Ear, Nose and Throat (ENT) has become a disease that is quite common in the world. In Indonesia, people with ENT disease are around 190-230 per 1000 population. This application uses Forward Chaining and Definitty Factor methods. The types of disease researched in this study were Serous Orthitis Media, Nasal Polyps, Acute Pharyngitis, Retrofaryngeal Abscess, and Nafosaryngeal Carcinoma. The purpose of making this expert system is to make it easier for patients to see what diseases they are suffering from, as well as to facilitate medical staff in the ENT patient environment.The stages of developing an expert system in this study consisted of problem identification for problem domain analysis and functional requirements analysis, knowledge acquisition was used to obtain the MB and MD value of each symptom in ENT with the interview method, the existence of an expert system of ENT disease diagnosis can make it easier for doctors to make decisions, or the right diagnosis of a symptom that arises in ENT, so that proper treatment is obtained and minimizes the occurrence of misdiagnosis
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