Enhanced Attendance Monitoring System using Biometric Fingerprint Recognition
Ronald B. Rivera
1Ronald B. Rivera*, Bachelor of Science in Information Technology, Isabela State University Angadanan Campus, Centro 03, Angadanan, Isabela , Philippines.
Manuscript received on December 22, 2020. | Revised Manuscript received on December 30, 2020. | Manuscript published on January 30, 2021. | PP: 1-4 | Volume-9 Issue-5, January 2021. | Retrieval Number: 100.1/ijrte.E5070019521 | DOI: 10.35940/ijrte.E5070.019521
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In this study, an enhanced attendance monitoring system using biometric fingerprint recognition in tracking and monitoring employees’ attendances for Callang National High School, District 04, San Manuel, Isabela was introduced. For most organizations, handling people is a daunting job in which it is very important to maintain an accurate record of attendance. Taking and maintaining the attendance of employee manually on a regular basis is a big activity that requires time. For this reason an effective system was designed. The system was designed and developed primarily to improve the monitoring of employees attendances and leave management through the use of biometric technology. It records the data of the employees, handles leave management, tracks employee attendance and encourages participation through fingerprint recognition. The system is equipped with a dashboard monitoring system that can be viewed by school heads to track the list of employees, early birds (employees who arrived early), on-leave staff, on-official business and a statistical graph of the monthly attendance rate of employees. Moreover, the system provides an auto-generated DTR for employees which saved time compared to the manual process. The innovation greatly affects the improvement of employees’ attendance through its automated attendance monitoring, leave management and report generated by the system. The impact of EAMS to the employees was identified through first quarter attendance report of SY 2028-2019 which served as a bases of comparison with the attendance rate of SY 2019-2020 when the system was implemented. The outcome shows that through the usage of the system, employees’ attendance has improved.
Keywords: Biometric System, Attendance Monitoring System, Fingerprint Recognition, Employees Attendance.