糖心原创

HomeInternational Journal of Multidisciplinary: Applied Business and Education Researchvol. 7 no. 1 (2026)

Smart Queuing and Appointment Management System for Client Services in Bulacan State University Bustos Campus

Alaina Thea V. Concepcion | Anthony U. Concepcion | Clarisse Ann A. Guinto | Christian Araza | Rhye Dayrone H. Imperio | Beverly Regaas

Discipline: Education

 

Abstract:

Client service efficiency has been a key issue in academic institu-tions as the rise in student populations overburdens the admin-istrative functions of institutions. To eliminate the issues of man-ual queuing and appointment systems, this paper has developed the Smart Queuing and Appointment Management System, the web-based system that targets the administration of Bulacan State University -Bustos Campus. The system is expected to sim-plify the flow of clients, decrease waiting time and improve ser-vice delivery by using automated queue management, online scheduling and real time monitoring of transactions. The project was designed in HTML, CSS, JavaScript, PHP, and MySQL and ad-hered to the Agile Software Development Life Cycle (SDLC) to guarantee iterative user-driven enhancement of the project. To measure the performance and acceptability of the system, the Technology Acceptance Model (TAM) and the ISO/IEC 25010:2023 Software Quality Standards were used, and the techniques were functionality, usability, reliability, and effi-ciency. The evaluation involved 50 respondents, who were rec-orded in terms of surveys and interviews, and they were a com-bination of students, administrative staff, and IT specialists. The result showed that the system had a general weighted mean of 4.59 according to ISO/IEC 25010, which is interpreted as Strongly Agree, and this shows a high-quality functionality, reli-ability and usability. Under TAM, the responses of staff and stu-dents were very positive and the weighted means of responses were 4.84 and 4.45, respectively. These findings indicate that the system is successfully used to increase administrative efficien-cies, reduce congestion as well as client satisfaction. Generally, Smart Queuing and Appointment Management System offers a sound and viable solution in enhancing operations of the univer-sity services. The researchers suggest that it is necessary to improve the functioning of the system by introducing dynamic appointment scheduling and expanding this approach to other campuses of the BulSU.



References:

  1. Aziz, S. (2016). Reducing customer wait time for improved satisfaction. International Journal of Service Management, 22(4), 332–347. 
  2. Bayani, L., Ramos, A., & Villanueva, K. (2021). Automated queuing to reduce service de-lays in academic offices. In Proceedings of the IEOM 2021 Monterrey Conference (pp. xx–xx). Institute of Industrial and Systems Engineers (IISE). 
  3. Borje, A., Del Mundo, R., & Tolentino, J. (2023). SCRUM-based queue management system for public transportation. Lingayen Transport Studies Journal, 14(2), 112–120. 
  4. Bufete, M., Reyes, P., & Santos, L. (2021). User-centered systems in Philippine universi-ties: Accessibility and functionality. Phil-ippine Journal of ICT Research, 11(1), 45–60. /article.php?id=17043
  5. Coltraro, A., Malik, S., & Zhang, Y. (2024). Lo-gistic fluid queue modeling in dynamic service environments. Journal of Opera-tions Science, 29(1), 89–101. 
  6. Davis, F. D. (1989). Perceived usefulness, per-ceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. 
  7. Dela Cruz, V., Gomez, J., & Fabian, A. (2024). Developing mobile-first queue systems for campus administration. Asia-Pacific Journal of Educational Technology, 10(2), 122–135. 
  8. DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of infor-mation systems success: A ten-year up-date. Journal of Management Information Systems, 19(4), 9–30. 
  9. Delos Santos, C. R., Alcaraz, M. J., & De Vera, J. (2023). Localized smart queuing in Phil-ippine universities. EJournals.ph. 
  10. Espinosa, M. G., Tiu, C. A., & Cruz, D. L. (2024). Automated enrollment queue systems in higher education institutions. Envarga ICT Journal, 7(1), 33–44. 
  11. Gazal, M., Hamouda, S., & Ali, M. (2015). Smart queuing technologies for service im-provement. International Journal of Digi-tal Systems, 10(2), 71–80. 
  12. Ismail, M., & Moyo, T. (2023). AI-integrated queuing systems in service optimization. African Journal of Smart Systems, 5(3), 67–82. 
  13. Ismail, M., & Moyo, T. (2023). AI-integrated queuing systems in service optimization. African Journal of Smart Systems, 5(3), 67–82. 
  14. Kim, H. J., Nakamura, R., & Liao, S. (2024). Predictive analytics for smart queuing environments. Journal of Artificial Intelli-gence in Service Design, 13(1), 22–39. 
  15. Mansour, A., Talib, R., & Yusof, N. (2021). I-Queue: A dynamic queue management system using cloud services. International Journal of Smart Technologies, 16(4), 88–97. 
  16. Nair, R., & Joshi, K. (2023). Proactive queuing systems using time-slot scheduling in ac-ademic institutions. Journal of Education Technology Systems, 51(2), 145–159. 
  17. Nunag, R., Ramirez, P., & Fajardo, L. (2024). Simulation of multi-server queuing mod-els for service enhancement in local busi-nesses. Philippine Simulation Journal, 6(1), 77–89. 
  18. Pabelona, M., & Paver, J. (2024). Smart kiosks and predictive tracking for hospital queu-ing systems. Academia.edu. 
  19. Salih, M. (2022). Mobile-first queuing applica-tions for student services [Unpublished master’s thesis]. University of Ouargla. 
  20. Sevim, B., & Erkan, B. (2022). AI-based intelli-gent scheduling in automated queuing systems. Turkish Journal of Artificial In-telligence, 8(1), 25–38. 
  21. Usluer, H. (2024). Simulation of queueing effi-ciency in university cafeterias: A discrete-event approach. Turkish Journal of Ap-plied Systems, 15(2), 98–101.