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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 Modelling Language) modelling 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.

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The 4.0 industrial revolution, on the one hand, will open opportunities for the domestic product market to compete internationally and vice versa. Business competition is so tight, the existence of free markets and advances in information technology, robotics, artificial intelligence, transportation, and communication are rapid, giving changes quick on the economy. The way to adapt to the outlook and the ability to project change in the environment and be able to determine the right strategy for this change is a must for organizations that are committed to survival as in Cooperatives in Indonesia. Regarding this problem, there are several e-readiness models that have been developed to test readiness or ability to provide platforms, comparisons, and estimates including TRAM (Technology Readiness and Acceptance Model) and several variables namely business content and institutional contexts that influence the model. The results show that the TRAM 2.0 model and E readiness are related to each other. The E-readiness model has 2 success factors for The McLeod and MacDonell’s projects as attributes used for readiness input. From the correlation process, added a new factor, called Business Content, Institutional Context so that the E-readiness model has 8 factors.

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