Published: 2025-12-01
Designing an Early Warning Feature in the Grade Management Information System to Support Academic Performance Monitoring
DOI: 10.35870/ijsecs.v5i3.5268
Seliwati Seliwati, Al Razaq Al Razaq
- Seliwati Seliwati: Politeknik Piksi Ganesha
- Al Razaq Al Razaq: Politeknik Piksi Ganesha
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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
Keywords
Academic Performance Monitoring ; Early Warning Notifications ; Student Grading Systems ; Web Applications ; Spiral Model ; Laravel Framework ; Educational Technology
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This article has been peer-reviewed and published in the International Journal Software Engineering and Computer Science (IJSECS). The content is available under the terms of the Creative Commons Attribution 4.0 International License.
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Issue: Vol. 5 No. 3 (2025)
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Section: Articles
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Published: %750 %e, %2025
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License: CC BY 4.0
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Copyright: © 2025 Authors
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DOI: 10.35870/ijsecs.v5i3.5268
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Setiadi, F. M., & Khairunnisa, K. (2025). Penguatan kemahiran muhādatsah mahasiswa melalui manajemen kegiatan berbasis komunitas bahasa Arab. Welfare: Jurnal Pengabdian Masyarakat, 3(2), 287-292. https://doi.org/10.30762/welfare.v3i2.2405
-
Akçapınar, G., Altun, A., & Aşkar, P. (2019). Using learning analytics to develop early-warning systems for at-risk students. International Journal of Educational Technology in Higher Education, 16(1), 1-20. https://doi.org/10.1186/s41239-019-0172-z
-
Jamaluddin, J., Mahali, M., Mohd Din, N., Ahmad, M. A. N., Fadzillah, N. S. M., Hashim, A. H., & Awang, N. (2023). The impact of different instruction modes during COVID-19 phases on students' performance. International Journal of Academic Research in Business and Social Sciences, 13(4). https://doi.org/10.6007/ijarbss/v13-i4/16614
-
Suryandani, F., Basori, B., & Maryono, D. (2020). Pengembangan sistem informasi akademik berbasis web sebagai sistem pengolahan nilai siswa di SMK Negeri 1 Kudus. Jurnal Ilmiah Pendidikan Teknik dan Kejuruan, 13(1), 52-59. https://doi.org/10.20961/jiptek.v13i1.24224
-
-
Putra, E. (2023). Optimizing management information systems based on efficiency and quality management. Nidhomul Haq: Jurnal Manajemen Pendidikan Islam, 8(3), 401-411. https://doi.org/10.31538/ndh.v8i3.3938
-
Rahardja, U. (2022). Using case-based reasoning in student graduation prediction systems (CBR). Adi Journal on Recent Innovation (AJRI), 4(1), 56-65. https://doi.org/10.34306/ajri.v4i1.759
-
Yudini, A. P., Haryani, C. A., Widjaja, A. E., Hery, H., & Suryasari, S. (2022). Academic information systems and recommendations using AHP at SMA Islamic Center Tangerang. Ultimatics: Jurnal Teknik Informatika, 13(2), 127-133. https://doi.org/10.31937/ti.v13i2.2337
-
Supriyatna, A., & Puspitasari, D. (2021). Implementation of extreme programming method in web-based digital report value information system design. International Journal of Information System & Technology (IJISTECH), 5(1), 67-74. https://doi.org/10.30645/ijistech.v5i1.116
-
Mappalotteng, A. M., Fathahillah, F., & Punggawa, M. A. (2024). Web-based student academic grade processing information system. ITM Web of Conferences, 58, 03006. https://doi.org/10.1051/itmconf/20245803006
-
Chen, X., & Liu, D. (2024). Application of media information retrieval technology in student work management systems. International Journal of Web-Based Learning and Teaching Technologies, 19(1), 1-17. https://doi.org/10.4018/ijwltt.340725
-
Shi, G. (2022). Design and implementation of IoT data-driven intelligent classroom teaching systems. Computational Intelligence and Neuroscience, 2022, 1-11. https://doi.org/10.1155/2022/8003909
-
Meilani, M. N. (2023). Implementation of school information system management in the use of digital resources. EduInsights, 1(2), 88-96. https://doi.org/10.58557/eduinsights.v1i2.17
-
Choi, Y., & Eom, M. (2022). Analysis of the effects of the free semester system on academic achievement and career maturity. Policy Futures in Education, 21(8), 850-867. https://doi.org/10.1177/14782103221106274
-
Boehm, B. (2000). Spiral development: Experience, principles, and refinements. ACM SIGSOFT Software Engineering Notes, 19(4), 63-70. https://doi.org/10.1145/256805.256818
-
Alda, M. (2023). Implementasi metode spiral pada pengembangan aplikasi simpan pinjam berbasis Android. JTT (Jurnal Teknologi Terapan), 9(1), 63-74. https://doi.org/10.31884/jtt.v9i1.487
-
Aspriyono, H. (2023). Implementasi spiral model dalam pengembangan aplikasi pembayaran kuliah pada ITBM Banyuwangi. SIMKOM, 8(1), 55-65. https://doi.org/10.51717/simkom.v8i1.126
-
-
Jailani, A., & Yaqin, M. A. (2024). Pengujian aplikasi sistem informasi akademik menggunakan metode blackbox dengan teknik boundary value analysis. Journal Automation Computer Information System, 4(2), 60-66. https://doi.org/10.47134/jacis.v4i2.78
-
Azzahra, F., Dzikrya, K., & Prabowo, A. (2025). Rancang bangun sistem perpustakaan web Universitas Esa Unggul dengan metode Scrum untuk pengelolaan digital. Jurnal Informatika: Jurnal Pengembangan IT, 10(2), 494-502. https://doi.org/10.30591/jpit.v10i2.8207
-
Latifurrahman, A., Imilda, & Salam, A. (2023). Sistem informasi akademik menggunakan PHP dan MySQL pada Sekolah Tinggi Manajemen Informatika Komputer (STMIK) Indonesia Banda Aceh. Jurnal Sistem Komputer (SISKOM), 3(2), 74-83. https://doi.org/10.35870/siskom.v3i2.796
-
Sadewa, E. B., Wijiyanto, W., & Nurohman, N. (2024). Sistem informasi akademik berbasis web pada SMK Al-Islam Surakarta. Journal of Information System Management (JOISM), 6(1), 63-69. https://doi.org/10.24076/joism.2024v6i1.1647
-
-
Ferguson, R. (2012). Learning analytics: Drivers, developments and challenges. International Journal of Technology Enhanced Learning, 4(5-6), 304-317. https://doi.org/10.1504/IJTEL.2012.051816
-
Gašević, D., Dawson, S., & Siemens, G. (2015). Let's not forget: Learning analytics are about learning. TechTrends, 59(1), 64-71. https://doi.org/10.1007/s11528-014-0822-x
-
Macfadyen, L. P., & Dawson, S. (2010). Mining LMS data to develop an "early warning system" for educators: A proof of concept. Computers & Education, 54(2), 588-599. https://doi.org/10.1016/j.compedu.2009.09.008
-
Siemens, G., & Baker, R. S. (2012). Learning analytics and educational data mining: Towards communication and collaboration. Proceedings of the 2nd International Conference on Learning Analytics and Knowledge, 252-254. https://doi.org/10.1145/2330601.2330661
-
Tempelaar, D. T., Rienties, B., & Giesbers, B. (2015). In search of the most informative data for feedback generation: Learning analytics in a data-rich context. Computers in Human Behavior, 47, 157-167. https://doi.org/10.1016/j.chb.2014.05.038

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