Android-based Expert System Design for Drug Selection using Certainty Factor C Slamet(*a), B Firmanda DA (a), M A Ramdhani(a), W Darmalaksana(b), A S Enjang (c), D Yusli (a), Faiz Muqorrir Kaffah (a)
(a) Department of Informatics, UIN Sunan Gunung Djati Bandung, Indonesia
(b)Department of Hadits Science, UIN Sunan Gunung Djati Bandung, Indonesia
(c)Department of Journalistic and Public Relations, UIN Sunan Gunung Djati Bandung, Indonesia
*cepy_lucky[at]uinsgd.ac.id
Abstract
Handling some types of diseases require medical therapy in the form of drug delivery. Appropriate medication should be conducted with assistance from medical experts for doses and types of drugs can be given properly and correctly. This study aims to discuss drug selection system design using certain certainty factor method with android-based. The disease that used as a discussion object is diabetes mellitus disease. System design methodology uses UML (Unified Modeling Language) modeling approach. The design results show that the system can make an early diagnosis of diabetes mellitus type II and drug selection recommendation for diabetes mellitus type II. Since health is essential to the safety of the human psyche, this application system can only be used as the third opinion of the diagnosis of diabetes mellitus type II.
Keywords: Certainty Factor, Diabetes Mellitus, Expert System, Medicine
