Designing an Early Warning Feature in the Grade Management Information System to Support Academic Performance Monitoring

Authors

  • Seliwati Seliwati Politeknik Piksi Ganesha
  • Al Razaq Al Razaq Politeknik Piksi Ganesha

DOI:

https://doi.org/10.35870/ijsecs.v5i3.5268

Keywords:

Academic Performance Monitoring, Early Warning Notifications, Student Grading Systems, Web Applications, Spiral Model, Laravel Framework, Educational Technology

Abstract

An automated early warning mechanism for monitoring student academic achievement has been designed and deployed, seamlessly integrated within a higher education institution's academic information platform. The mechanism assists students in maintaining consistent performance while enabling preventive intervention when grade deterioration occurs. Development followed the Spiral Model, emphasizing iterative refinement, risk analysis, and continuous adaptation based on user feedback. Final grades derive from weighted assessment categories: participation, assignments, mid-term examinations, and final examinations. When a student's course grade falls to ≤60, automated warning notifications appear instantly on their dashboard. Implementation leveraged PHP with the Laravel framework, MySQL databases, and Visual Studio Code as the development environment. Data sources included campus academic records, user interviews, and notification logs. Evaluation employed Black Box Testing incorporating Equivalence Partitioning and Boundary Value Analysis techniques. Findings demonstrate that the notification mechanism operated with high accuracy and received positive user reception, suggesting strong potential for enhancing student awareness, promoting self-reflection, and facilitating timely academic improvement

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Author Biographies

  • Seliwati Seliwati, Politeknik Piksi Ganesha

    Department of Computer Engineering, Politeknik Piksi Ganesha, Bandung City, West Java Province, Indonesia

  • Al Razaq Al Razaq, Politeknik Piksi Ganesha

    Information Systems Management Department, Politeknik Piksi Ganesha, Bandung City, West Java Province, Indonesia

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Published

2025-12-01

How to Cite

Seliwati, S., & Al Razaq, A. R. (2025). Designing an Early Warning Feature in the Grade Management Information System to Support Academic Performance Monitoring. International Journal Software Engineering and Computer Science (IJSECS), 5(3), 1178-1186. https://doi.org/10.35870/ijsecs.v5i3.5268

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