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Classification of Student Activity Status Using Machine Learning Algorithms at Royal University Iqbal, Muhammad; Hermawan, Rudi
Bahasa Indonesia Vol 17 No 09 (2025): Instal : Jurnal Komputer
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jurnalinstall.v17i09.439

Abstract

Inactivity is a significant challenge that impacts academic performance, retention rates, and the operational effectiveness of higher education institutions. Royal University faces an urgent need to identify students at risk of becoming inactive early, so that academic interventions can be carried out appropriately and effectively. This study aims to develop a classification model for student inactivity status (Active or Passive) using a machine learning approach, by testing three main algorithms: Decision Tree (DT), Support Vector Machine (SVM), and Random Forest (RF). The dataset used consists of 642 student entries, including academic information such as Grade Point Average (GPA), total credits taken, attendance percentage, number of courses per semester, and semester level. The methodology steps include data cleaning and transformation, splitting the dataset into 80% training data and 20% testing data using a random sampling method ( train_test_split with random_state = 42), model training, and performance evaluation using accuracy, precision, recall, and F1-score metrics. The experimental results show that DT and SVM achieve the highest accuracy of 98.44%, with maximum precision in predicting active students, while RF excels in recall (0.96), making it more effective in detecting active students at risk of being missed. Feature importance analysis reveals that GPA and attendance are the most determining factors in predicting student active status, while the number of courses, credits taken, and semester level have a lower additional influence. The primary contribution of this research is the provision of an accurate and practically applicable classification model, enabling universities to conduct automated student monitoring, proactive academic interventions, and data-driven decision-making. Implementing this model in academic information systems can improve the effectiveness of advising programs, reduce the risk of student inactivity , and support efforts to improve retention and graduate quality. This research also emphasizes the importance of contextual features in improving prediction accuracy and provides insights that can be leveraged for the development of data-driven academic strategies.
Co-Authors Abd. Rasyid Syamsuri Adhy, Dewanto Rosian Adiyono Agus Hikmat Al Mursyid, Mohammad Irsyad Alfian Alfian Anggara, Mohamad Bayu Apriliani, Erlina Arima, Dewi Arista, Ivan Anindito Aryanto, Renaldi Ashlihah, Ashlihah Astuti - Bambang Eka Purnama Budi Tjahjono Costa, Anthony Dendy Adanta Dewi Puspita Sari Didik Nur Huda Dwi Yulistyanti, Dwi Edi Setiyo Eko Prasetyo Erlanda Augupta Pane Esti Susiloningsih Faddillah, Rani Desy Fatimah Zahro Fauzi, Ahmad Miftah Firizal, Harlin Fitriyah Fitriyah Galuh Widitya Qomaro Ghaffar, Nurshofi Gita Kencanawaty, Gita Handayani, Shinta Dwi HARRIS, SOEPARDI Hasan Hariri Heni Pujiastuti Hermudananto, Hermudananto Iman, Dwi Hariyanto Irvan Irvan Jauhari, Mohammad Agitha Juharsa, Jujun Jumadi Jumadi Kartini, Dewi Khoiriyah, Fitrotul Khoiriyah, Umi Khozinatul Kumala, Siti Ayu Landa, Silvia Anastasia Lapau, Fitri LILIK BUDIPRASETYO Luthfie, Muhammad Marwani Marwani, Marwani Mashudi Mauhib, Akpil Ma’sum, Mohamad Meldianto, Efri Mochamad Amri Santosa Mualifah, Leni Muhammad Iqbal Muhammad Iqbal Muhammad Yusup Murianty, Riana Nizirwan Anwar Noor, Yudin Wahyudin Nur Widiyasono, Nur Nusroh, Alfi Chumidafin Pane, Erlanda Patriana, Ari Prakoso, Akbar Teguh Pratama, Fitrianto Adi Puspita, Fitriyah Qardhawi, Youssuf Qomariyah, Laili Nur Rachmadini, Syafira Rahayu, Kadek Ridoi Rajahasta, Patih Ramadhan, Anugrah Agung Ramadhan, Muhammad Rizki Rijal, Muhammad Amiru Rosada, Nyataku Ibnu Rosian Adhy, Dewanto Rosyiidah, Afifah Al Rosyiidah, Afiifah Al ROUDATUL JANNAH Rudi Hermawan, Adiyono, Safitri, Mazda Leva Okta Saputra, M. A. Ade Saputra, Suranto Sari, Hilda Asyifa Siska Iriani Siti Maesaroh Sudrajat Sudrajat Suhendar, Asep Sukadi . Sukoyo, Kuntari Sri Sutrisno, Sutrisno syofii, imam Tarigan, Masmur Titiek Setyawati Wadirin, Wadirin Wahyudinnor, Yudin Wijaya, Ikhlasul Amal Yadi, Farhan Yeasy Agustina Sari, Yeasy Agustina Zulkifli, Miranti Triana