<![CDATA[Medication adherence is a vital factor in the management of epilepsy patients to prevent recurrent seizures. However, manual monitoring methods are often ineffective and prone to human error. This study aims to design an automated medication reminder and leftover monitor system based on the Internet of Things (IoT). The system is built using a Load Cell sensor to detect weight changes in a syrup bottle or medication container, along with an ESP8266 microcontroller integrated with the Telegram API as a notification interface. The research methods include hardware design, development of a weight reduction detection algorithm, and sensor accuracy testing. Calibration testing results show that the system is capable of detecting medication intake activity based on the weight difference before and after consumption. From a series of tests, an average reading difference (error) of 3.9 grams compared to the original weight was obtained. This system successfully sends reminder notifications and alerts if the medication is not consumed, thus offering an effective remote monitoring solution for patient caregivers.]]>
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