|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 187 - Issue 95 |
| Published: April 2026 |
| Authors: Ijeoma Blessing Omenihu, P.C. Nwosu, M.E. Benson-Emenike, C. Ugwu |
10.5120/ijca67453507bc51
|
Ijeoma Blessing Omenihu, P.C. Nwosu, M.E. Benson-Emenike, C. Ugwu . Development and Performance Evaluation of a Secure Web-Based Attendance and Payroll System with GPS Verification and Role-Based Access Control. International Journal of Computer Applications. 187, 95 (April 2026), 53-59. DOI=10.5120/ijca67453507bc51
@article{ 10.5120/ijca67453507bc51,
author = { Ijeoma Blessing Omenihu,P.C. Nwosu,M.E. Benson-Emenike,C. Ugwu },
title = { Development and Performance Evaluation of a Secure Web-Based Attendance and Payroll System with GPS Verification and Role-Based Access Control },
journal = { International Journal of Computer Applications },
year = { 2026 },
volume = { 187 },
number = { 95 },
pages = { 53-59 },
doi = { 10.5120/ijca67453507bc51 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2026
%A Ijeoma Blessing Omenihu
%A P.C. Nwosu
%A M.E. Benson-Emenike
%A C. Ugwu
%T Development and Performance Evaluation of a Secure Web-Based Attendance and Payroll System with GPS Verification and Role-Based Access Control%T
%J International Journal of Computer Applications
%V 187
%N 95
%P 53-59
%R 10.5120/ijca67453507bc51
%I Foundation of Computer Science (FCS), NY, USA
This study presents the design, implementation, and performance evaluation of a secure web-based attendance and payroll management system incorporating Global Positioning System (GPS) verification and Role-Based Access Control (RBAC). The system addresses limitations in existing attendance systems, such as susceptibility to fraud, lack of payroll integration, and limited accessibility. The proposed system was developed using the Model-View-Controller (MVC) architecture with PHP Laravel for the backend, Blade templating for the frontend, and SQLite for database management. An experimental evaluation was conducted using multiple datasets and simulated real-world scenarios to assess system accuracy, response time, and scalability. Results show that the system achieved an average attendance validation accuracy of 98%, with response times below 3 seconds for attendance operations and under 5 seconds for payroll processing. The integration of GPS-based geo-fencing significantly reduced fraudulent attendance attempts, while automated payroll computation eliminated manual errors. The system demonstrates improved efficiency, security, and scalability compared to existing solutions, making it suitable for educational institutions and corporate environments requiring reliable attendance tracking and payroll automation.