Monitoring Pengukuran Suhu Tubuh Manusia Berbasis Sensor Inframerah MLX90614 Untuk Antisipasi Penyebaran Covid-19

Rifqi, Firman Syah (2022) Monitoring Pengukuran Suhu Tubuh Manusia Berbasis Sensor Inframerah MLX90614 Untuk Antisipasi Penyebaran Covid-19. Undergraduate Thesis thesis, Institut Teknologi Telkom Purwokerto.

	Text COVER.pdf Download (573kB)
	Text ABSTRACT .pdf Download (182kB)
	Text ABSTRAK .pdf Download (184kB)
	Text BAB 1.pdf Download (393kB)
	Text BAB 2.pdf Download (471kB)
	Text BAB 3.pdf Download (506kB)
	Text BAB 4.pdf Restricted to Registered users only Download (1MB) | Request a copy
	Text BAB 5.pdf Download (286kB)
	Text DAFTAR PUSTAKA.pdf Download (296kB)
	Text LAMPIRAN.pdf Restricted to Registered users only Download (613kB) | Request a copy

Abstract

Corona Virus is a disease caused by SARS-Cov-2, first discovered in the Wuhan area of Hubei Province, China and first reported in Indonesia on March 2 2020. Several body temperature measurement tools, especially digital thermometers as the first tool to check the index of Covid-19 19 with the standards set. The digital thermometer used is not completely safe health standards where measurements are made at a close distance so that it makes it easier for the virus to move quickly, so that monitoring and checking of body temperature remains safe and efficient, researchers make monitoring of human body temperature measurements automatically without contact Contactless sensor-based physical facilities to anticipate the spread of Covid-19. In this study, 2 sensors will be used to automatically measure body temperature measurement parameters, namely the MLX90614 Infrared sensor and the HC-SR04 Ultrasonic sensor. The system measures and then sends it to ThingSpeak using the NodeMCU. Contactless test results show a fast and accurate measurement value seen based on the results of the comparison of Thermogun and Contactless measurements, the comparison between Contactless and Thermogun was carried out 25 times at temperatures of 33.0oC, 34.0oC, 35.0oC, 36.0oC, 37.0oC and 38.0oC respectively. each produces an average percent error of 2%, 1%, 2%, 2%, 1%, 1% can be averaged to 2%, which can be said to be accurate. Keywords : MLX90614, Internet of things, Thermometer, Human body temperature, NodeMCU, ThinksSpeak.

Actions (login required)

View Item