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Rancang Bangun Sistem Pengukur Suhu Tubuh Manusia Jarak Jauh Berbasis Internet of Things (IOT) Nuri Afriani, Eka; Djatmiko, Wisnu; Bintoro, Jusuf
JURNAL PENDIDIKAN VOKASIONAL TEKNIK ELEKTRONIKA (JVoTE) Vol. 6 No. 2 (2023): Vol 6 No 2 (2023): JURNAL PENDIDIKAN VOKASIONAL TEKNIK ELEKTRONIKA (JVoTE) Volu
Publisher : PENDIDIKAN VOKASIONAL TEKNIK ELEKTRONIKA FAKULTAS TEKNIK UNIVERSITAS NEGERI JAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/jvote.v6i2.49347

Abstract

This research aims to design and build a remote human body temperature measuring system based on the Internet of Things (IoT) as an effort to prevent the spread of COVID-19. This system utilizes the MLX90614 sensor as a non-contact body temperature detector, the ESP-32 CAM microcontroller as a data processing and information delivery center, and integration with the Telegram application for remote notifications. The measurement results are also displayed via a 16x2 LCD, with a buzzer and LED indicator as a marker of body temperature conditions. If the body temperature exceeds 37.5 °C, the buzzer and red LED are active, while temperatures below 35 °C trigger the blue LED. Tests show that the system works well and has a high level of accuracy, with an average measurement error of 0.438% compared to the standard Infrared Thermometer SK-T008 thermometer. These results prove that the developed IoT-based temperature measuring system is effective, accurate, and reliable for remote health monitoring.
Rancang Bangun Sistem Pengukur Suhu Tubuh Manusia Jarak Jauh Berbasis Internet Of Things (IOT) Nuri Afriani, Eka; Djatmiko, Wisnu; Bintoro, Jusuf
JURNAL PENDIDIKAN VOKASIONAL TEKNIK ELEKTRONIKA (JVoTE) Vol. 5 No. 2 (2022): Vol 5 No 2 (2022): JURNAL PENDIDIKAN VOKASIONAL TEKNIK ELEKTRONIKA (JVoTE) Volu
Publisher : PENDIDIKAN VOKASIONAL TEKNIK ELEKTRONIKA FAKULTAS TEKNIK UNIVERSITAS NEGERI JAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/jvote.v5i2.39450

Abstract

The purpose of this researcher is to design a remotely-based body temperature gauge system (IOT) at home to improve the security of the spread of Covid-19. The remote body temperature system based on the Internet of Things (IOT) is late finished and has been tested. Tools are compared with digital thermogun namely Infrared Thermometer SK-T008 with an average error rate in percent (error percentage) of 0.438%. LCD 16x2 displays the results of the body temperature value in the Celsius unit and if the body temperature value is more than 37.5 degrees Celsius Then the Buzzer and red LED will be active. If the body temperature is below 35 degrees Celsius, the blue LED will be active.