Alumni Tracking System for SEAIT: Ensuring an Easy to Track Alumni Records

This study investigates how integrating Human-Computer Interaction (HCI) principles into the design of an alumni tracking system can enhance record management and institutional engagement at the South East Asian Institute of Technology (SEAIT). Despite the increasing adoption of digital solutions globally, many educational institutions-including SEAIT-continue to rely on manual or outdated alumni tracking practices, resulting in incomplete records, inefficient communication, and limited alumni involvement. These challenges hinder the institution’s ability to leverage its alumni network for mentorship, career opportunities, and program improvement. Using a quantitative research approach, the study utilizes standardized usability metrics, such as the System Usability Scale (SUS), system analytics, and Likert-scale surveys to systematically measure the system’s effectiveness and user satisfaction. Stratified random sampling ensures representative input from both alumni and administrative staff.

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Publication Details

Published
2025-05-24
DOI
https://doi.org/10.38124/ijisrt/25may739
Primary Topic
Scientific Computing and Data Management
Type
article
Field-Weighted Citation Impact
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article

Alumni Tracking System for SEAIT: Ensuring an Easy to Track Alumni Records

Francisco, Cedie E. Gabriel Mit, Reginald S. Prudente Mit, Keyan Andy Delgado et al.
Scientific Computing and Data Management
article

Alumni Tracking System for SEAIT: Ensuring an Easy to Track Alumni Records

Francisco, Cedie E. Gabriel Mit, Reginald S. Prudente Mit, Keyan Andy Delgado, Lynch Nico Futolan, Abdul Marot, Jener Kevin Ogatis
article en

Abstract

This study investigates how integrating Human-Computer Interaction (HCI) principles into the design of an alumni tracking system can enhance record management and institutional engagement at the South East Asian Institute of Technology (SEAIT). Despite the increasing adoption of digital solutions globally, many educational institutions-including SEAIT-continue to rely on manual or outdated alumni tracking practices, resulting in incomplete records, inefficient communication, and limited alumni involvement. These challenges hinder the institution’s ability to leverage its alumni network for mentorship, career opportunities, and program improvement. Using a quantitative research approach, the study utilizes standardized usability metrics, such as the System Usability Scale (SUS), system analytics, and Likert-scale surveys to systematically measure the system’s effectiveness and user satisfaction. Stratified random sampling ensures representative input from both alumni and administrative staff.

Openalex Percentile: Top 88%
Scientific Computing and Data Management
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