Proceedings of the 2023 International Conference on Information Technology and Engineering (ICITE 2023)

Design of a Crowd Restriction Based an Internet of Things during the covid-19 pandemic at University PGRI Yogyakarta

Authors
R. Hafid Hardyanto1, *, Marti Widya Sari1, Rinda Dwi Cahya1
1Faculty of science and technology, Universitas PGRI Yogyakarta, Jl. IKIP PGRI I Sonosewu No.117, Yogyakarta, 55182, Indonesia
*Corresponding author. Email: hafid@upy.ac.id
Corresponding Author
R. Hafid Hardyanto
Available Online 23 December 2023.
DOI
10.2991/978-94-6463-338-2_25How to use a DOI?
Keywords
Microcontroller; Smart room; Smart access; Internet of Things; covid-19
ABSTRACT

The Covid-19 pandemic has restricted human activities. In Indonesia, to prevent the transmission of COVID-19, crowd restrictions are carried out. The limitation imposed at UPY is by limiting the number of visitors entering the room at Universitas PGRI Yogyakarta. This article will discuss the system created at PGRI Yogyakarta University to limit the spread of the COVID-19 virus by limiting the number of visitors. This system produces information related to the number of visitors who enter the room at PGRI Yogyakarta university, both the number of daily, daily, and monthly visitors. As a result, this system is able to provide information about the number of visitors, and provide warnings to officers if visitors exceed the room. This system contributes to reducing the transmission of the covid 19 virus at PGRI Yogyakarta University, because the number of visitors can be limited with this system. This system works by: providing information on how many visitors enter UPY, and giving warnings if visitors exceed the specified capacity. Each room is limited to the number of people who enter according to the capacity of the room. The technology applied to limit the number of crowds at UPY uses IoT technology. With IoT technology, stakeholders can view information about visitor and notifications directly via smartphones. The comprehensive implementation of this system will make it easier to get accurate information about the number of visitors during the COVID-19 pandemic.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

Volume Title
Proceedings of the 2023 International Conference on Information Technology and Engineering (ICITE 2023)
Series
Advances in Intelligent Systems Research
Publication Date
23 December 2023
ISBN
10.2991/978-94-6463-338-2_25
ISSN
1951-6851
DOI
10.2991/978-94-6463-338-2_25How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - R. Hafid Hardyanto
AU  - Marti Widya Sari
AU  - Rinda Dwi Cahya
PY  - 2023
DA  - 2023/12/23
TI  - Design of a Crowd Restriction Based an Internet of Things during the covid-19 pandemic at University PGRI Yogyakarta
BT  - Proceedings of the 2023 International Conference on Information Technology and Engineering (ICITE 2023)
PB  - Atlantis Press
SP  - 172
EP  - 175
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-338-2_25
DO  - 10.2991/978-94-6463-338-2_25
ID  - Hardyanto2023
ER  -