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I. S. Nasir, A. H. Mousa, and I. L. H. Alsammak, “SMUPI-BIS: a synthesis model for users’ perceived impact of business intelligence systems,” Indonesian Journal of Electrical Engineering and Computer Science, vol. 21, no. 3, p. 1856, Mar. 2021.

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Article

Technology Acceptance of QR Code Recognition as Attendance Monitoring on School Activities: Student Organization Officers Perspective

1College of Teachers Education, Quirino State University – Maddela Campus, Quirino, Philippines

2College of Agriculture, Quirino State University – Maddela Campus, Quirino, Philippines

3College of Hospitality Management, Quirino State University – Maddela Campus, Quirino, Philippines


Journal of Computer Sciences and Applications. 2025, Vol. 13 No. 1, 29-36
DOI: 10.12691/jcsa-13-1-3
Copyright © 2025 Science and Education Publishing

Cite this paper:
Winston G. Domingo Dit, Charmaine Ruth G Abella Maed, Rishelle B. Nucaza Mdb. Technology Acceptance of QR Code Recognition as Attendance Monitoring on School Activities: Student Organization Officers Perspective. Journal of Computer Sciences and Applications. 2025; 13(1):29-36. doi: 10.12691/jcsa-13-1-3.

Correspondence to: Winston  G. Domingo Dit, College of Teachers Education, Quirino State University – Maddela Campus, Quirino, Philippines. Email: winston.domingo@qsu.edu.ph

Abstract

The positive trend in acceptability among advancing year levels suggests a concept of progressive user engagement, emphasizing the significance of strategic onboarding and continuous user engagement initiatives. Through observation, it has been noted that students display a lack of enthusiasm and participation during programs, especially when organized by student leaders. The attendance records further suffer, as some students either do not attend or, in more concerning instances, falsify their presence. this study is a descriptive-inferential approach. Descriptive statistics will be utilized to present fundamental characteristics of the data, offering simple summaries about the sample and measures. The results, as determined by the Kruskal-Wallis analysis of acceptability among different courses (BSA, BSHM, and BTLED), uncover opportunities for optimization. Recognizing that each academic discipline may have unique preferences, tailoring specific features or providing targeted support to the BSA group could further enhance overall system acceptance. Campus organizations such as the Student Government Organization demonstrate particularly high acceptability, emphasizing the system's positive impact within specific groups. The Technology Acceptance Model (TAM) has been proven to be a theoretical model to explain students’ acceptance, which was based on perceived usefulness and perceived ease of use, and will be applied.

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