Please use this identifier to cite or link to this item: http://repository.unmul.ac.id/handle/123456789/3500
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dc.contributor.authorRamadiani, Ramadiani-
dc.contributor.authorAini, Nur-
dc.contributor.authorAzainil, Azainil-
dc.date.accessioned2020-01-06T08:04:17Z-
dc.date.available2020-01-06T08:04:17Z-
dc.date.issued2017-10-01-
dc.identifier.citationRamadiani, Nur Aini, et.al., 2017. Certain Factor Analysis for Extra Pulmonary Tuberculosis Diagnosis. Proc. EECSI 2017 - Yogyakarta, Indonesia, 19-21 Sept; page 133 -139.en_US
dc.identifier.urihttp://www.beei.org/index.php/EECSI/article/view/1006/570-
dc.identifier.urihttp://repository.unmul.ac.id/handle/123456789/3500-
dc.description.abstractTuberculosis 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.en_US
dc.language.isoenen_US
dc.publisherProceeding of the Electrical Engineering Computer Science and Informatics, 2017, vol.4 hal. 138-144en_US
dc.subjectExtra pulmonary tuberculosis; expert System; certain factor; forward chainingen_US
dc.titleTurnitin Certain Factor Analysis for Extra Pulmonary Tuberculosis Diagnosisen_US
dc.typeArticleen_US
Appears in Collections:A - Computer Sciences and Information Technology

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