FINGERPRINT EMPLOYEE CLOCKING SYSTEM FOR UNIVERSITIES

  • Debrah Joshua Osei The University of Energy and Natural Resources, Sunyani-Ghana https://orcid.org/0000-0003-0300-2469
  • Alfred Elolo Konglo IT Directorate, Ho Technical University, Ghana.
  • Mohammed Issah Adinkrah Dept. of Computer Science and Informatics, the University of Energy and Natural Resources, Sunyani-Ghana.
  • Lord Anertei Tetteh Dept. of Electrical and Telecommunication engineering, Koforidua Technical University, Ghana.
  • Kojo Boakye Dept. of Computer Science and Informatics, the University of Energy and Natural Resources, Sunyani-Ghana.
  • Abigail Mba Dept. of Computer Science and Informatics, the University of Energy and Natural Resources, Sunyani-Ghana.
  • Victoria Quansah Dept of Education, Catholic University College, Fiapre-Ghana
Keywords: Fingerprint, Biometric Data, Employee Attendance, Employee Clocking System, Truancy Of Employees

Abstract

A system that is used for time-clocking, creating an all-inclusive electronic record of the process involved in how employees logs in and out of work on working days are referred to as a clocking system. The system has an additional feature of calculating an accurate payroll system, which in turn, can lead to a precise amount the company spent on labour. In essence, an employee clocking system is a process of monitoring the attendance, presence and truancy of employees in a work environment. In this project, the University of Energy and Natural Resources was used as a case study. The existing method of recording the presence of staff to work is by a manual process where employees record their attendance on a paper. The challenge of the current employee attendance system is the difficulty in tracing old records, safekeeping, lack of confidentiality and the chances of other employees logging in for their truant colleagues. This paper sought to introduce a biometric employee clocking system to help overcome the high level of truancy in workplaces. The results of the experiment we conducted indicate a high accuracy in our system with TAR value of 99.7%. This accuracy rate is much better than the results other researchers obtained. The excellent accuracy implies that employees will have difficulty to check-in or out for their truant colleagues. The high accuracy results will help improved security of attendance, improved employee performance, ensures fast and easy retrieval of data, easy monitoring of staff, and prevent impersonation in the attendance logs.

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Published
2020-12-04
How to Cite
Osei, D. J., Konglo, A. E., Adinkrah, M. I., Tetteh, L. A., Boakye, K., Mba, A., & Quansah, V. (2020). FINGERPRINT EMPLOYEE CLOCKING SYSTEM FOR UNIVERSITIES. International Journal of Engineering Technologies and Management Research, 7(11), 69-76. https://doi.org/10.29121/ijetmr.v7.i11.2020.819