<![CDATA[This research aims to design Internet of Things (IoT) based medical devices that can monitor body temperature, heart rate and oxygen saturation. The problem faced is the lack of real-time health monitoring tools that are integrated with digital systems, especially during the pandemic. As a solution, this tool utilizes the MLX90614 sensor to measure body temperature, the MAX30100 sensor for heart rate and oxygen saturation, and the ESP8266 microcontroller to connect the device to a Wi-Fi network. The method used is system development using the Waterfall model, starting from needs analysis, design, implementation, to testing. A threshold algorithm is applied to detect abnormal values in sensor data, which is then sent to the server and displayed via a web interface. Test results show that this tool can monitor health conditions accurately and in real-time. Data on body temperature, heart rate and oxygen saturation are stored in a database and displayed via the web with a fast response. This tool is expected to help users in monitoring health more efficiently and easily to use.]]>
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