PERTANIKA JOURNAL OF TROPICAL AGRICULTURAL SCIENCE

 

e-ISSN 2231-8542
ISSN 1511-3701

Home / Regular Issue / JTAS Vol. 31 (1) Jan. 2023 / JST-3229-2021

 

Timekeeping and Immediate Monitoring of Employees by Consistently Advocating Time Consciousness and Honesty Using Enhanced Attendance Monitoring System (TIME CATCH Using EAMS)

Ronald Bautista Rivera, Maricar Bulan Asis and Oscar Gacutan Bangayan

Pertanika Journal of Tropical Agricultural Science, Volume 31, Issue 1, January 2023

DOI: https://doi.org/10.47836/pjst.31.1.18

Keywords: Attendance, QR code, face recognition

Published on: 3 January 2023

Attendance management methods that use QR codes and face recognition technology to identify and verify an individual’s features are widely used in many aspects of people’s lives nowadays, notably in pandemic situations where contact-less systems are used. In this paper, the development of enhanced attendance monitoring system using was introduced. The Isabela State University Angadanan Campus has implemented a biometric attendance monitoring system. However, it is limited to the number of employees’ registrations, leave management and generation of Daily Time Record. The biometric system can only store 60 employees in every device, leave application and credits cannot be catered by the system and the Daily Time Record is not auto-generated and auto-formatted. For this reason, an enhanced attendance monitoring system was developed. The system uses a camera and QR Code reader to take attendance electronically, and the attendance records be saved in a database. It can store multiple number of employees, process leave application, manage remaining leave credits, and provide auto-generated Daily Time Record. This method, on the other hand, reduces the requirement for fixed materials and employees to retain records. From the developed system and the gathered data, it has addressed the problem of the conventional way of checking employee’s attendance. The general mean of 4.72 shows that the software quality of the system based on ISO 25010 is found to be functional that the users have strongly agreed on the different characteristics of the system as it addresses the issues in the current attendance monitoring system of ISU.

  • Abdulkadhim, E. G. (2021). Design and develop an attendance system based on fingerprint and arduino board. In Journal of Physics: Conference Series (Vol. 1804, No. 1, p. 012011). IOP Publishing. https://doi.org/10.1088/1742-6596/1804/1/012011

  • Adewole, K. S., Abdulsalam, S. O., Babatunde, R. S., Shittu, T. M., & Oloyede, M. O. (2014). Development of fingerprint biometric attendance system for non-academic staff in a tertiary institution. Computer Engineering and Intelligent Systems, 5(2), 62-70.

  • Atanacio, M. L., & Lacatan, L. L. (2019). Development and evaluation of rural health unit record management system with data analytics for municipality of Bay, Laguna using ISO 25010. International Journal of Recent Technology and Engineering, 8(3), 3915-3919. https://doi.org/10.35940/ijrte.C5133.098319

  • Hale, R. C., & Song, B. (2020). Single-use plastics and COVID-19: Scientific evidence and environmental regulations. Environment Science Technology, 54(12), 7034-7036. https://doi.org/10.1021/acs.est.0c02269

  • Joshi, A., Kale, S., Chandel, S., & Pal, D. K. (2015). Likert scale: Explored and explained. British Journal of Applied Science & Technology, 7(4), 396-403. https://doi.org/10.9734/BJAST/2015/14975

  • Mohamed, B. K., & Raghu, C. V. (2012). Fingerprint attendance system for classroom needs. In 2012 Annual IEEE India Conference (INDICON) (pp. 433-438). IEEE Publishing. https://doi.org/10.1109/INDCON.2012.6420657

  • Shoewu, O., & Idowu, O. A. (2012). Development of attendance management system using biometrics. The Pacific Journal of Science and Technology, 13(1), 300-307.

ISSN 1511-3701

e-ISSN 2231-8542

Article ID

JST-3229-2021

Download Full Article PDF

Share this article

Related Articles