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All Journal Proceeding of the Electrical Engineering Computer Science and Informatics
Nur Aini
Mulawarman University
Computer Science & IT Electrical & Electronics Engineering

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Certain Factor Analysis for Extra Pulmonary Tuberculosis Diagnosis Ramadiani Ramadiani; Nur Aini; Heliza Rahmania Hatta; Fahrul Agus; Zainal Ariffin; Azainil Azainil
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (634.423 KB) | DOI: 10.11591/eecsi.v4.1006

Abstract

Tuberculosis is an infectious disease that is easily transmitted through the air. Tuberculosis mostly attacks the lungs, but this disease can also attack other organs called extra- pulmonary. The Extra pulmonary tuberculosis can endanger the safety of community and slow in initial diagnosis because of the lack of knowledge. The purpose of this research is to build expert system of the extra pulmonary tuberculosis disease diagnosis. The system can facilitate the user in making the initial diagnosis of the disease, so patients can get the right handling. The system uses forward chaining inference and a Web-based Certainty Factor method with an accuracy rate of 85% has been utilized to assist health and community.
Co-Authors Damayanti, Elok Fahrul Agus Hatta, Heliza Rahmania Ramadiani - Zainal Ariffin