RANCANG BANGUN PENGUKUR SUHU TUBUH BERBASIS INTERNET OF THINGS MENGGUNAKAN APLIKASI BLYNK

Measuring body temperature is an important method in monitoring individual health. In this current digital era, the application of the Internet of Things (IoT) in body temperature measurement systems provides various benefits such as real-time monitoring, automatic data collection, and integration with the wider health system. This research aims to design and develop an IoT-based body temperature measuring system that can be used to monitor individual health conditions effectively and efficiently. This system consists of several main components, specifically the MLX90614 temperature sensor, the NodeMCU ESP32 microcontroller, a wireless communication module, and the Blynk application for data storage and analysis. The temperature sensor can detect changes in body temperature with body radiation emitted and detected by infrared in the MLX90614 temperature sensor, while the NodeMCU ESP32 microcontroller functions as a data processor from the sensor before the data is sent via the wireless communication module to the Blynk app. The Blynk app allows storing amounts of data and provides analysis tools to monitor a user's body temperature over time. System testing results show that this device can accurately measure body temperature in the form of spike diagrams and send data to the Blynk application quickly. Users can access their body temperature data through the application integrated with the system, enabling continuous monitoring of body temperature. Therefore, this IoT-based body temperature measurement device is expected to be an effective solution for health monitoring, especially in pandemic situations where regular health monitoring is crucial. The implementation of this system can also be expanded to a larger scale, such as in healthcare facilities, schools, and workplaces, to enhance early detection and response to health conditions.