FEU Institute of Technology

Educational Innovation and Technology Hub

Loading...

Alumni Tracer Monitoring Platform With Decision Support Feature Using Time Series Analysis

a Information Technology, FEU Institute of Technology, Manila, Philippines

b Computer Science, FEU Institute of Technology, Manila, Philippines

2024 IEEE 16th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), (2024), pp. 1-6

Abstract: This descriptive-developmental study enables the authors to create a graduate tracer monitoring platform. The paper aims to provide a centralized channel to monitor institutions' graduates in terms of their job employment, assessing academic programs using modified instruments which determine necessary interventions that may be provided, and to provide a matching algorithm that can be used both by industry partners and respective alumni. This study used a Decision Support System and mapping recommendation analysis using time series analysis to evaluate the results of alumni program evaluation on five areas or dimensions such as curriculum, faculty, facility, laboratory, and student services. The study may set the threshold to determine if the results of the areas mentioned above are beyond the passing rate and implement the interventions for each area. A content management system was also used in this paper to change the contents of the Alumni Program Evaluation, the interventions, the threshold, and many more. The developed web-based system includes an evaluation of the Alumni Program across key areas such as Curriculum, Faculty, Facility, Laboratory, and Student Services. This study employed a purposive sampling technique to identify the group of respondents. There are a total of 152 respondents who participated in this study from the Information Technology department and IALAP office. The study results indicate that no interventions are necessary in any of these areas, as both the mean and the composite mean surpasses the 3.50 threshold set in the system. Among the five areas, the faculty received the lowest passing mean, followed by student services and the laboratory. This underscores the potential for continuous improvement in these specific areas influencing the employability rate and skills of the alumni-participants. The time series analysis was conducted on a two-year dataset, covering 6 trimesters. The analysis revealed a positive improvement in evaluation scores as the trimesters progressed across five dimensions of alumni program evaluation. This suggests that alumni respondents consistently agreed in their evaluations of appreciation on the improvements made by the school administration which enhances their life experiences and technical skills during their stay in the campus.

Recommended Citation

Gonzales, J. G., Arguson, A. C., Lagman, A. C., & Angel, R. M. D. (2024). Alumni Tracer Monitoring Platform With Decision Support Feature Using Time Series Analysis. 2024 IEEE 16th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), 1-6. https://doi.org/10.1109/hnicem64917.2024.11258719
J. G. Gonzales, A. C. Arguson, A. C. Lagman, and R. M. D. Angel, "Alumni Tracer Monitoring Platform With Decision Support Feature Using Time Series Analysis," 2024 IEEE 16th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), pp. 1-6, 2024. doi: 10.1109/hnicem64917.2024.11258719.
Gonzales, Joseph G., et al.. "Alumni Tracer Monitoring Platform With Decision Support Feature Using Time Series Analysis." 2024 IEEE 16th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), 2024, pp. 1-6. https://doi.org/10.1109/hnicem64917.2024.11258719.
Gonzales, J. G., Arguson, A. C., Lagman, A. C., & Angel, R. M. D.. 2024. "Alumni Tracer Monitoring Platform With Decision Support Feature Using Time Series Analysis." 2024 IEEE 16th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM): 1-6. https://doi.org/10.1109/hnicem64917.2024.11258719.

A Time Capsule Where Research Rests, Legends Linger, and PDFs Live Forever

Repository is the home for every research paper and capstone project created across our institution. It’s where knowledge kicks back, ideas live on, and your hard work finds the spotlight it deserves.

© 2026 Educational Innovation and Technology Hub. All Rights Reserved.