Smart Gate System Berbasis Telegram Notification Untuk Peringatan Suhu Tinggi Pada Masa Pandemic Covid-19

Authors

  • Indah Putri Lestari Politeknik Negeri Sriwijaya
  • Suroso Suroso Politeknik Negeri Sriwijaya
  • Irma Salamah Politeknik Negeri Sriwijaya

DOI:

https://doi.org/10.33857/patj.v6i1.461

Keywords:

Smart gate system, Arduino Uno R3, WeMos D1 R32, COVID-19, Telegram

Abstract

Covid-19 can spread from individual to individual through droplets of infected individuals. Fever is an early symptom in infected individuals characterized by a rise in body temperature above 37oC. Not a few individuals do not comply with health protocols by not using masks that result in the transmission of Covid-19. This article aims to design and create a Smart gate system that serves to select individuals by identifying the use of masks and checking body temperature without direct contact before entering a room. Body temperature checks are important to be aware of individuals with high body temperatures with the potential for Covid-19 so a warning is required for high-temperature individuals to be checked immediately. The smart gate system is controlled using Arduino Uno R3 and WeMos D1 R32. The research method is the design method. System test results if detected by individuals with high body temperature, smart gate system will send notifications to telegrams and will not give access to individuals with high temperatures  above 37oC even if they have worn a mask.

Author Biography

Indah Putri Lestari, Politeknik Negeri Sriwijaya

Department of Telecommunication Engineering

References

Tosepu, R., Gunawan, J., Effendy, D. S., Lestari, H., Bahar, H., & Asfian, P. (2020). Correlation between weather and Covid-19 pandemic in Jakarta, Indonesia. Science of the total environment, 725, 138436.

Marzuki, ismail. dkk. “Covid-19: Seribu Satu Wajah”. 2021. Medan, Indonesia: Yayasan Kita Menulis.

Sutriyanto, Eko. “Hasil Survei SMRC: Masih Ada yang 20 Persen Warga Indonesia yang Tidak Memakai Masker”, Tribunnews.com, 2021. Diperoleh dari: https://www.tribunnews.com/corona/2021/03/23/hasil-survei-smrc-masih-ada-yang-20-persen-warga-indonesia-yang-tidak-memakai-masker

iMe, “Pengertian Arduino Uno”, ilearning.me, 2021. Diperoleh dari: https://ilearning.me/samplepage162/arduino/pengertian arduino/

Kok, C. H., dkk (2020, August). IoT based Low Cost Distributed Air Quality Monitoring System for Big Data Collection. In 2020 10th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) (pp. 7-10). IEEE.

Carney, M., dkk (2020, April). Teachable machine: Approachable Web-based tool for exploring machine learning classification. In Extended abstracts of the 2020 CHI conference on human factors in computing systems(pp.1-8).

RAHMAWATI, F. N. (2016). Rancang Bangun Alat pendeteksi Kondisi Tubuh (Doctoral dissertation, POLITEKNIK NEGERI SRIWIJAYA).

Efriandana, R. (2021). Implementasi Monitoring Status User Hotspot Pada Mikrotik Menggunakan Bot Telegram. Kumpulan Karya Ilmiah Mahasiswa Fakultas sains dan Tekhnologi, 2(2), 56-56.

Downloads

Published

2022-02-01