Authors : Amuncio, Jun Rey; Crisostomo, Kenneth; Gatinao, Hannah Michaela G; Palomo, Gerber Jay L; Paculanan, Kristian Jay C.; Cedie E. Gabriel; Reginald S. Prudente

Volume/Issue : Volume 10 - 2025, Issue 5 - May

Google Scholar : https://tinyurl.com/b64f4zrs

DOI : https://doi.org/10.38124/ijisrt/25may665

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : The study presents the development and evaluation of a smart wearable system to monitor student appearance and activity participation through ID scanning at South East Asian Institute of Technology (SEAIT), Tupi, South Kotabato. Methods of traditional appearance in educational institutions are often disabled, error-prone and susceptible to manipulation. The project integrates human-computer interaction (HCI) principles into a smart wearable device that uses ID scanning to automate the attendance and recording of student participation. The system aims to improve accuracy, reduce administrative burden, and increase the user experience through user -friendly interfaces and real -time data processing. The purposeful test and performance assessment demonstrated that the system provides more efficiency and satisfaction than traditional methods, although some users expressed concern over the need for privacy and additional support. Overall, the system shows strong ability to increase institutional operations in the resource-limit environment.

Keywords : Smart Wearable System, Student Attendance, ID Scanning, Human-Computer Interaction (HCI), SEAIT, Real-Time Monitoring, Educational Technology, Usability Testing, Activity Participation, Automation.

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