Towards Reducing Convid-19 Spread: A Geo-Location based Attendance Monitoring and Navigation System for Institution

OYEKANMI Ezekiel Olufunminiyi

Towards Reducing Convid-19 Spread: A Geo-Location based Attendance Monitoring and Navigation System for Institution

OYEKANMI Ezekiel Olufunminiyi * §

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Towards Reducing Convid-19 Spread: A Geo-Location based Attendance Monitoring and Navigation System for Institution

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Abstract

The current pandemic caused by covid-19 has come to stay and has changed many things, including the education sector of the whole world. However, institutions must resume, and academic activities must continue under the precautionary measures for students and staff to stay safe. The question is, how will precautionary measure be observed? This paper provided a geo-location approach in tackling the aspect of attendance management of students and staff in the classroom to maintain social distancing while marking attendance sheets for a large class and minimize time wastage for another lecturer. The developed software also focused in campus area navigation for outsiders or newly admitted students. This research was carried out using smart phones due to its built-in global positioning system (GPS) and can be afforded by all. The developed system was tested online with different smart phones connected to it, 93 feed-backs with 63% correctness were gotten from the system prediction.

References

14 Cites in Article

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

OYEKANMI Olufunminiyi. 2022. "Towards Reducing Convid-19 Spread: A Geo-Location based Attendance Monitoring and Navigation System for Institution". Global Journal of Computer Science and Technology, Global Journal of Computer Science and Technology - H: Information & Technology GJCST-H Volume 21 (GJCST Volume 21 Issue H3).

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GJCST Volume 21 Issue H3

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

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Classification

GJCST-H Classification C.2.3

Submission ReceivedJune 13, 2021
Peer Review Double Blind
Handling Editor
Accepted July 5, 2021
Published July 15, 2021

Version of record

v1.2

Issue date

January 15, 2022

Language

English

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