Vol. 4 No. 2 (2025): The QUEST: Journal of Multidisciplinary Research and Development
Articles

ASK-COT: An Executive Decision Support System for the Planning Unit of Aurora State College of Technology

  • Dale Lyko Abion
Dale Lyko Abion
Aurora State College of Technology
DOI: https://doi.org/10.60008/thequest.v4i2.257

Published 12/30/2025

Keywords

  • Executive Decision Support System,
  • Strategic Planning,
  • Decision Making,
  • Data-Driven,
  • ISO/IEC 25010 Quality Standards

How to Cite

Abion, D. L. (2025). ASK-COT: An Executive Decision Support System for the Planning Unit of Aurora State College of Technology. The QUEST: Journal of Multidisciplinary Research and Development, 4(2). https://doi.org/10.60008/thequest.v4i2.257

Copyright (c) 2026 The QUEST: Journal of Multidisciplinary Research and Development

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Abstract

Strategic planning in higher education institutions depends on timely, accurate, and consolidated data to support informed decision-making. At Aurora State College of Technology (ASCOT), the Planning Unit has encountered persistent challenges in consolidating reports from various academic and administrative units, leading to delays, inconsistencies, and limited capacity for effective governance and performance monitoring. To address these issues, this study developed the ASK-COT: An Executive Decision Support System for the Planning Unit of Aurora State College of Technology designed to streamline data submission, consolidation, and analysis, thereby improving compliance monitoring, strategic planning, and resource allocation.

ASK-COT was developed using the Phased Development Approach inspired by the Waterfall Model, ensuring a systematic process through requirements analysis, system design, development, testing, implementation, and maintenance. The system incorporates modules for online report submission, compliance tracking, key performance indicator dashboards, and analytical tools that generate decision-support insights for institutional leaders.

The system’s quality was evaluated following the ISO/IEC 25010 software quality model, with assessments conducted by IT experts and key stakeholders. ASK-COT achieved the following mean scores across nine quality characteristics: Functional Suitability (3.73), Performance Efficiency (3.60), Compatibility (3.55), Interaction Capability (3.69), Reliability (3.73), Security (3.90), Maintainability (3.68), Flexibility (3.68), and Safety (3.66). Security obtained the highest rating, reflecting robust measures for data integrity and confidentiality. Functional Suitability and Reliability also received strong ratings, demonstrating the system’s effectiveness in meeting user requirements and maintaining consistent performance.

Evaluation results affirm that ASK-COT meets high standards for functionality, usability, and security, enabling ASCOT’s Planning Unit to operate with greater efficiency and accuracy. Its implementation is expected to strengthen institutional governance, enhance performance monitoring, and support ASCOT’s readiness for university status. Furthermore, ASK-COT’s design and development process can serve as a replicable model for other higher education institutions seeking to adopt data-driven decision support solutions.

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