Medication non-adherence is a health problem often found in the global community. According to Lars Osterberg, M.D, about 30% of adult patients in America fail to take their medication at the appointed time, causing an estimated $100 billion in possible costs each year. Along with the development of information technology, interventions have been carried out on non-adherence to medication in patients. Previous research developed an automatic treatment application by sending notifications in email and SMS messages on time according to doctor's recommendations; Unfortunately, now SMS messages have almost been replaced with chat application services. This study aims to overcome the focus by performing automatic reminders using cloud computing technology with job scheduling sent via cellular notifications, email, and WhatsApp so that treatment reminders will be delivered faster using cloud computing. This research begins by designing an auto-reminder function. After the design is complete, it is continued with the implementation phase of the drug reminder application. In the testing phase, ten notifications were sent via WhatsApp, cellular, and email, received by 30 respondents, and sent simultaneously on each media with an average time interval of approximately 2 seconds, 7 seconds, and 18 seconds, respectively. The test concluded that all notifications sent with the last ten users experience a delay of approximately 18 seconds for each notification media. In future research, it is recommended to implement this notification technology on Wearable Devices so that it is expected to make it easier for patients to receive notifications during their treatment period.

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Mr. Alfan Faturahman Gifary