A LOG MANAGEMENT SYSTEM (LMS) FOR ADMINISTRATORS, EMPLOYEES, STUDENTS, AND VISITORS
This thesis introduces a QR Code-based Log Management System (LMS) for St. Peter's College, replacing manual logging with a web-based platform. The LMS enables users to scan QR Codes, eliminating log books and improving accuracy. It automates administrative tasks, recording timestamps, user information, vaccination status, and enrollment status. Utilizing QR Code technology sets this study apart from similar systems that use RFID. QR Codes are costeffective and convenient for identification. The LMS integrates QR Codes into identification cards for administrators, employees, and students, while visitors can generate QR Codes through the web application. Additional features include uploading vaccination cards and Certificates of Registration (COR) for verification. Developed using the Django framework, the LMS provides a secure and rapid development platform accessible via standard web browsers. Its implementation improves data collection accuracy, facilitates contact tracing, and enhances safety through SMS notifications. This thesis contributes to the digital transformation of administrative processes in educational institutions, streamlining operations and improving data management. The researchers employed the Agile Model for development, allowing for continuous feedback and adaptation. This approach ensured the LMS met St. Peter's College's specific requirements. To assess usability, the Technology Acceptance Model (TAM) was used, evaluating factors like ease of use and user satisfaction. The combination of the Agile Model and TAM offers a comprehensive approach to designing and implementing the QR Code-based Log Management System, aligning it with the needs and preferences of St. Peter's College.
Authors
- Mellanie S. Gambe
- Donald Farrel C. Ares
- Brixes Y. Colegado
- Elleiell P. Balisi
Institutions
- Saint Peter's University (US)
- Mindanao Sanitarium and Hospital College (PH)
Publication Details
- Journal
- International Journal of Engineering Applied Sciences and Technology
- Published
- 2024-08-04
- DOI
- https://doi.org/10.33564/ijeast.2024.v09i03.004
- Primary Topic
- Industrial Automation and Control Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00