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DOI: 10.14569/IJACSA.2018.090959
PDF

Location-aware Event Attendance System using QR Code and GPS Technology

Author 1: Zakiah Ayop
Author 2: Chan Yee Lin
Author 3: Syarulnaziah Anawar
Author 4: Erman Hamid
Author 5: Muhammad Syahrul Azhar

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 9 Issue 9, 2018.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: Attendance process in a university’s event is time consuming and tracking the attendance can be harder. In this paper, a smart event attendance system for a university using QR code and GPS technology is proposed with objective to speed up the process of taking students’ attendance and tracking full attendance. The method of developing the system is based on two views; user view which is the mobile application used by the students, and admin view which is the web administration system used by the event organizer. From the evaluation, students’ attendance can be traced from the GPS location combine with QR code. The results indicate that full attendance increases as the system validates attendance through users’ identification, location and timestamp during user login and logout. The proposed system contributes to high satisfaction among the users that claim that the mobile application helps to speed up the event registration process.

Keywords: Event attendance system; quick response (QR) code; global positioning system (GPS); android mobile application

Zakiah Ayop, Chan Yee Lin, Syarulnaziah Anawar, Erman Hamid and Muhammad Syahrul Azhar, “Location-aware Event Attendance System using QR Code and GPS Technology” International Journal of Advanced Computer Science and Applications(IJACSA), 9(9), 2018. http://dx.doi.org/10.14569/IJACSA.2018.090959

@article{Ayop2018,
title = {Location-aware Event Attendance System using QR Code and GPS Technology},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.090959},
url = {http://dx.doi.org/10.14569/IJACSA.2018.090959},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {9},
author = {Zakiah Ayop and Chan Yee Lin and Syarulnaziah Anawar and Erman Hamid and Muhammad Syahrul Azhar}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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