International Journal of Communication and Information Technology

P-ISSN: 2707-661X, E-ISSN: 2707-6628
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2022, Vol. 3, Issue 2, Part A

Analysis of queueing theory: Biometric and manual attendance performance measures


Author(s): Mankilik IM, Kama HN and Isitua CC

Abstract:
In many educational organizations, most universities use manual methods for taking attendance. There is a possibility that Staff give dummy attendance for colleagues who are absent; this work intends to compare the efficiency of biometric based attendance system to that of manual attendance. The study uses single and single server queueing model to analyze service efficiency of biometric and manual attendance. The variables measured include arrival rate (λ) and service rate (μ). They were analyzed for simultaneous efficiency. Primary data were collected through observations from biometric attendance and manual attendance by observation at the attendance system. The result shows that biometric attendance compared with manual attendance was more efficient with the performances measures queueing system.


DOI: 10.33545/2707661X.2022.v3.i2a.48

Pages: 01-05 | Views: 409 | Downloads: 173

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How to cite this article:
Mankilik IM, Kama HN, Isitua CC. Analysis of queueing theory: Biometric and manual attendance performance measures. Int J Commun Inf Technol 2022;3(2):01-05. DOI: 10.33545/2707661X.2022.v3.i2a.48
International Journal of Communication and Information Technology

International Journal of Communication and Information Technology

International Journal of Communication and Information Technology
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