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Researchers designed and implementation of thermal body measurement system for Unesa residents when they entered the building. The system design is made using engineering methods. Before body temperature is measured, the object will occupy a position at a predetermined point. At that point installed LDR which functions to turn on the servo motor that will move down and turn on the infrared sensor. At an altitude that has been detected by an infrared sensor, the motor will stop and start the temperature measurement process. The temperature sensor uses MLX 90614 which reads data from the reflection of infrared light in the form of raw data. Then the data is processed by a microcontroller using Arduino to become real data. The processed temperature data is displayed by the LCD and sent to the esp32-cam camera. Then esp32-cam will take photos as documentation. Data that has been processed will be grouped according to the 'condition' group that has been determined. Data that has been obtained in the form of temperature data, condition data and photo documentation, is sent to the webserver for display. All temperature measuring components have shown accurate data with the following test results. Sensor Temperature sensor MLX 90614 can measure temperatures at a distance of 30 cm. The temperature measurement program code on Arduino works well with a temperature value of 37.3oC. Camera image output format esp32-cam is a JPEG that is displayed on the websever. The Body Temperature Measurement System using the MLX 90614 Temperature Sensor for Early Detection of COVID-19 Symptoms can be used with an average error of 0.6% and a standard deviation of 0.078.

Design and Implementation of Thermal Body System Employing Thermal Sensor MLX 90614 for Covid-19 Symptoms Early Detector