An Automated Attendance System in Academia with Implicit Authentication via Mobile Devices and Wi-Fi Connection

Authors

  • Billy Susanto Panca Faculty of Information Technology, Maranatha Christian University, Bandung, Indonesia
  • Yansen Paulus Faculty of Information Technology, Maranatha Christian University, Bandung, Indonesiaa
  • Oscar Karnalim Faculty of Information Technology, Maranatha Christian University, Bandung, Indonesiaa

DOI:

https://doi.org/10.3991/ijoe.v16i07.13869

Keywords:

Automated attendance system in academia, implicit authentication, mobile devices, Wi-Fi networks, software engineering

Abstract


Many automated attendance systems have been proposed in academia. However, all of them require the attendees to consciously record their attendance. This is prone to human error as some attendees may forget to do that. It is also distractive as the recording process should be remembered by the attendees, in addition to focusing on their main responsibilities. This paper proposes an automated attendance system with implicit authentication, based on the connection between the attendees' mobile devices and the Wi-Fi network. Our evaluation shows that this system is almost 100\% accurate in recording staff attendance. It is applicable due to many factors. For example, many attendees often bring their mobile devices and connect the devices to the Wi-Fi.

Author Biographies

Billy Susanto Panca, Faculty of Information Technology, Maranatha Christian University, Bandung, Indonesia

Faculty of Information Technology

Yansen Paulus, Faculty of Information Technology, Maranatha Christian University, Bandung, Indonesiaa

Faculty of Information Technology

Oscar Karnalim, Faculty of Information Technology, Maranatha Christian University, Bandung, Indonesiaa

Faculty of Information Technology

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Published

2020-06-19

How to Cite

Panca, B. S., Paulus, Y., & Karnalim, O. (2020). An Automated Attendance System in Academia with Implicit Authentication via Mobile Devices and Wi-Fi Connection. International Journal of Online and Biomedical Engineering (iJOE), 16(07), pp. 86–94. https://doi.org/10.3991/ijoe.v16i07.13869

Issue

Section

Short Papers