Covid-19 Spread Prevention System on Campus based on Student Population Monitoring

Rachmad Tritjahjono, Moch Asyikin, Noor Cholis Basjaruddin, Andriyanto Setyawan

2021

Abstract

Various efforts have been made by the government in controlling the spread of covid-19, such as social restrictions of various scales, restrictions on community activities, social assistance, to vaccination. One of the sectors affected is education. This research aims to create a system to prevent the spread of virus covid-19 from monitoring the number of student populations on campus. Thus, phisical teaching can still be implemented. Every student who will access the campus area must scan the QR code on the mobile application. Algorithms are designed to access QR codes based on course schedules and based on permission. The system is also equipped with sanctions features for students late in or out of campus area. All section systems, namely mobile applications, scanners, virtual servers and web platforms, are successfully created according to the designed algorithm. The web platform can display the student population on campus in real-time. In addition, base64 encryption is used to secure the converted data in QR codes.

Paper Citation

in Harvard Style

Tritjahjono R., Asyikin M., Cholis Basjaruddin N. and Setyawan A. (2021). Covid-19 Spread Prevention System on Campus based on Student Population Monitoring. In Proceedings of the 4th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES, ISBN 978-989-758-615-6, pages 889-895. DOI: 10.5220/0010956100003260

in Bibtex Style

@conference{icast-es21,
author={Rachmad Tritjahjono and Moch Asyikin and Noor Cholis Basjaruddin and Andriyanto Setyawan},
title={Covid-19 Spread Prevention System on Campus based on Student Population Monitoring},
booktitle={Proceedings of the 4th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES,},
year={2021},
pages={889-895},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010956100003260},
isbn={978-989-758-615-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 4th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES,
TI - Covid-19 Spread Prevention System on Campus based on Student Population Monitoring
SN - 978-989-758-615-6
AU - Tritjahjono R.
AU - Asyikin M.
AU - Cholis Basjaruddin N.
AU - Setyawan A.
PY - 2021
SP - 889
EP - 895
DO - 10.5220/0010956100003260