DEVELOPMENT OF HUMAN BODY TEMPERATURE DETECTION SYSTEM BASED ON THE INTERNET OF THINGS WITH VOICE FEATURES Universitas Negeri Yogyakarta Abstract This research aims to design and develop a human body temperature detection system based on the Internet of Things (IoT) and featuring the output with human voice. The MLX90614 sensor is utilized to detect human-body themperature and DFPlayer module for playing the mp3 voice of the temperature output. Thus, an Arduino is employed as the main processing unit. The implementation of the IoT concept using the MQTT Protocol. The stages in developing this system are needs analysis, design, develop, testing and evaluation. Principally, this system works as follows, once the MLX90614 sensor detects a human temperature, the Arduino will process this data of the temperature (1) convert the data into human voice and (2) sending (publish) the data to a web server in the internet. In this research uses Adafruit.com as Mqtt broker. Anyone subscribes to the feeds of the Adafruit will receive such temperature data automatically. The performance results of this system, to determine the final output of the human temperature we must adjust with +3 from the result of MLX90614 in the normal room temperature. By this adjustment we have the best of error average 0.96% and an average difference of result 0.35 C. It means, by adjustment +3 from the original result of the sensor will conform with the standards of IEC No. 13B-23 and the 13th revision of Melexis in 2019, where the maximum of error tolerance is 5% and the temperature difference is 0.5 C. The result of the distance testing shows that the farther the object from the MLX90614 sensor will result the greater errors value and the object closer to the sensor, will result the smaller error. The average delay time to send data to the Adafruit Webserver and android application is 1.53 seconds. Keywords: IoT, Temperature, sensor, MQTT protocol Topic: Opportunities and Challenges for Future Teachers |
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