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All Journal Jurnal Ilmiah Wahana Pendidikan FARABI: Jurnal Matematika dan Pendidikan Matematika Jurnal Pengabdian Masyarakat Tjut Nyak Dhien Innovative: Journal Of Social Science Research OMEGA: Jurnal Keilmuan Pendidikan Matematika
Indah, Novi Permata
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Journal : OMEGA: Jurnal Keilmuan Pendidikan Matematika

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Predicting Students' On-Time Graduation using Support Vector Machine (SVM) Algorithm Siswadi, Siswadi; Khairunnisa, Elvi; Indah, Novi Permata
OMEGA: Jurnal Keilmuan Pendidikan Matematika Vol. 4 No. 3 (2025): OMEGA (In Press)
Publisher : Program Studi Pendidikan Matematika, Fakultas Keguruan Dan Ilmu Pendidikan, Universitas Alwashliyah Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47662/jkpm.v4i3.1094

Abstract

On-time graduation (OTG) is a primary key performance indicator (KPI) for higher education institutions. Delays in graduation adversely affect institutional academic efficiency and increase student costs. This study aims to implement the Support Vector Machine (SVM) algorithm, a machine learning technique, to develop a predictive model for students' on-time graduation. This study employed a quantitative approach using a historical dataset of 20 students as a case study. Five predictor variables were utilized: Semester 4 GPA, total completed credits, attendance percentage, working status, and organizational activity. The dataset was partitioned into 80% for training and 20% for testing. Model performance was evaluated using a Confusion Matrix, along with Accuracy, Precision, Recall, and F1-Score metrics. The evaluation on the test set demonstrated that the SVM model achieved an overall Accuracy of 75%. Specifically for the 'On-Time' class, the model yielded a Precision of 66.7%, a Recall of 100%, and an F1-Score of 80%. These findings suggest that SVM is a viable method and holds potential as an early detection tool to identify students at risk of delayed graduation, thereby enabling timely intervention.
Co-Authors Dina Eka Nurvazly, Dina Eka Fadilla, Arif Faradila, Anisa Febriary Anita, Widya Hanifah, Fadhilah Helfi, Yudi Khairunnisa, Elvi Kharunnisa, Elvi Lestari, Evi Fitri Madjidainun Rahma Maula, Kholida Atiyatul Siswadi Siswadi Widya Febryari Anita