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Institutional Employability Analytics Through a Cross-Platform Graduate Tracer System


Authors : Cherly B. Sardovia

Volume/Issue : Volume 11 - 2026, Issue 5 - May


Google Scholar : https://tinyurl.com/cbnpjw8a

Scribd : https://tinyurl.com/3p7dt2nv

DOI : https://doi.org/10.38124/ijisrt/26May790

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


Abstract : This study developed and evaluated a cross-platform Graduate Tracer System designed to support institutional employability monitoring and data-driven decision-making. Anchored on a descriptive-developmental design, the study utilized graduate profile and employment records from Bachelor of Science in Computer Science and Bachelor of Science in Civil Engineering graduates across campuses of North Eastern Mindanao State University from academic years 2019 to 2022. The system consolidated graduate information, current employment status, job classification, and analytic reports into a mobile-responsive repository. System quality was evaluated using software quality parameters aligned with ISO/IEC 25010. Results show that the institutional graduate data set reached 600 graduates, with 276 valid responses. Employment outcomes varied across campuses and programs, with generally favorable employment indicators but observable differences in permanent, contractual, self-employed, and temporary work arrangements. The system obtained an overall weighted mean of 4.16, interpreted as very good, with performance efficiency rated excellent. The findings indicate that a crossplatform tracer system can reduce fragmented graduate monitoring, support timely reporting, and provide actionable evidence for curriculum review, career services, and industry linkage planning.

Keywords : Graduate Tracer System; Employability Analytics; Data-Driven Decision-Making; Cross-Platform Application; ISO/IEC 25010.

References :

  1. M. V. Tutor, M. Orbeta, and A. Miraflor, “The 4th Philippine graduate tracer study: Examining higher education as pathway to citizenship, life satisfaction, and employability,” Philippine Institute for Development Studies Discussion Paper Series No. 2019-26, 2019.
  2. H. Schomburg, Carrying Out Tracer Studies: Guide to Anticipating and Matching Skills and Jobs, Vol. 6. Luxembourg: Publications Office of the European Union, 2016.
  3. A. P. Ponte, “Online graduate tracer with mobile application: A model,” Liceo Journal of Higher Education Research, 2019.
  4. International Organization for Standardization, “ISO/IEC 25010:2011 Systems and software engineering - Systems and software Quality Requirements and Evaluation - System and software quality models,” ISO, 2011.
  5. C. B. Sardovia and C. J. C. Avila, “Development of a cross-platform Graduate Tracer for data-driven decision making data analytics, Phase 2,” North Eastern Mindanao State University Terminal Report, 2024.

This study developed and evaluated a cross-platform Graduate Tracer System designed to support institutional employability monitoring and data-driven decision-making. Anchored on a descriptive-developmental design, the study utilized graduate profile and employment records from Bachelor of Science in Computer Science and Bachelor of Science in Civil Engineering graduates across campuses of North Eastern Mindanao State University from academic years 2019 to 2022. The system consolidated graduate information, current employment status, job classification, and analytic reports into a mobile-responsive repository. System quality was evaluated using software quality parameters aligned with ISO/IEC 25010. Results show that the institutional graduate data set reached 600 graduates, with 276 valid responses. Employment outcomes varied across campuses and programs, with generally favorable employment indicators but observable differences in permanent, contractual, self-employed, and temporary work arrangements. The system obtained an overall weighted mean of 4.16, interpreted as very good, with performance efficiency rated excellent. The findings indicate that a crossplatform tracer system can reduce fragmented graduate monitoring, support timely reporting, and provide actionable evidence for curriculum review, career services, and industry linkage planning.

Keywords : Graduate Tracer System; Employability Analytics; Data-Driven Decision-Making; Cross-Platform Application; ISO/IEC 25010.

Paper Submission Last Date
30 - June - 2026

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