PENERAPAN IOT UNTUK SISTEM DETEKSI SUHU TUBUH DAN KADAR OKSIGEN SISWA SMP AR RIDHO DENGAN TEKNOLOGI ANDROID

Mardiyono Mardiyono, Kurnianingsih Kurnianingsih, Wiktasari Wiktasari, Angga Wahyu Wibowo

Abstract


Covid-19 pandemic has made changes in behavior in all aspects of human life, especially in the field of education. Proper handling of the outbreak is needed to break the chain of the spread of COVID-19. One method that can be done is to perform early detection of symptoms of patients exposed to COVID-19. The learning process will be carried out offline, strict supervision is needed to maintain health protocols. Therefore, to minimize the spread of covid in schools, this system is needed. In September 2021, face-to-face learning in schools has begun. Learning is carried out with full health protocols and minimizes the spread of COVID-19. The Indonesian government has taken several ways to deal with this outbreak, starting from spraying disinfectants, urging the public to practice social distancing, conducting mass rapid tests, to buying medical equipment. Many parties have assisted the Indonesian government in tackling this epidemic in several ways, through donations in the form of money, medical equipment, personal protective equipment (PPE), and much more. Application of IoT for Body Temperature Detection System and Oxygen Levels for Ar Ridho Middle School Students Using Android Technology. This solution is expected to be effective in suppressing the spread of COVID-19 which may occur during face-to-face learning in schools. And this solution is expected to become a new health protocol for face-to-face learning

Keywords


Temperature; IoT; Oxygen; Junior High School; Learning

Full Text:

PDF

References


Luca, G., Gennaro, P., Pierluigi, R., Francesco, T., Mario, V. 2020. Trends in IoT based solutions for health care: Moving AI to the edge. Patern Recognition Letters. Vol. 135. Pp. 346-353.

Sachiko, L., & Rahim, R. 2020. Toward Semantic IoT Load Interfence Attention Management for Facilitating Healtcare and Public Health Collaboration: A Survey. Procedia Computer Science. Vol. 177. Pp. 371-378.

Fouad, H., Hassanein, A., Soliman, A., Al-Feel, H. 2020. Analyzing patient health information based on IoT sensor with AI for improving patient assistance in the future direction

Kementerian Kesehatan Republik Indonesia. (2021).

World Health Oraginazation. (2021).


Refbacks

  • There are currently no refbacks.