Development and Functional Evaluation of a Web-Based IT Attendance Service (ITAS) Using QR Codes and an Agile Approach
Keywords:
attendance information system, QR code; web application, Agile development, Django, higher educationAbstract
Manual attendance practices remain vulnerable to delayed recording, transcription errors, fragmented storage, and limited real-time access. This study developed and functionally evaluated the IT Attendance Service (ITAS), a web-based attendance application that uses QR codes to support attendance recording and monitoring in the Informatics Engineering Department of Samarinda State Polytechnic. A software-development research design was implemented using an Agile approach. Requirements were elicited through interviews, observation, and review of the existing attendance workflow involving students, lecturers, and administrators. The system was modeled through a context diagram, level-1 data-flow diagrams, and an entity-relationship diagram. The application was implemented with Python and the Django web framework and included role-based authentication, QR-code generation, attendance submission, attendance history, class management, and reporting. Verification addressed functional behavior, access control, usability, and response performance through scenario-based testing. ITAS produced operational interfaces for user administration, class management, QR-code creation, student attendance, attendance history, dashboard monitoring, and attendance reporting. All four reported verification categories were marked as passed. Core workflows—login, QR-code attendance, data management, and report access—operated according to the specified requirements. However, the source evaluation did not report sample size, execution counts, response-time measurements, security-penetration metrics, or standardized usability scores. The prototype demonstrates the functional feasibility of a Django-based QR-code attendance service for digitizing academic attendance administration. The findings support continued institutional piloting, but stronger evidence requires controlled field implementation, quantitative usability testing, performance benchmarking, security assessment, and comparison with the manual process.
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