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All Journal International Journal of Artificial Intelligence
Naen, Mohamad Fakir
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Computer Science & IT Decision Sciences, Operations Research & Management

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Development of Attendance Monitoring System with Artificial Intelligence Optimization in Cloud Naen, Mohamad Fakir; Muhamad Adnan, Muhamad Hariz; Yazi, Nurul Adilah; Nee, Chee Ken
International Journal of Artificial Intelligence Vol 8 No 2: December 2021
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.ijai-0802.315

Abstract

The creation of an attendance management system based on biometrics is proposed in this research. Keeping track of student attendance during lecture periods has proven to be a difficult task. Because human calculating creates errors and wastes a lot of time, the capacity to compute the attendance percentage becomes a key challenge. For this reason, a biometric-based attendance management system is being developed. This system uses a fingerprint device to take attendance electronically, and the attendance records are kept in a database. Following student identification, attendance is recorded. Artificial intelligence is also proposed as a component of the system. The system will aid in the reduction of errors and the more effective compilation of attendance data.
Co-Authors Muhamad Adnan, Muhamad Hariz Nee, Chee Ken Yazi, Nurul Adilah