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Journal : journal of digital technology and computer science

Implementation of the K-Means Clustering Algorithm to Identify Student Discipline Patterns Based on Attendance Data Hermila A.; Haeriani H; Wildan
Journal of Digital Technology and Computer Science Vol. 3 No. 2 (2026): April 2026
Publisher : Academic Bright Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66053/dtcs.v3i2.652

Abstract

Purpose – Student attendance data in vocational schools are often collected digitally but remain underutilized for managerial decision-making. This study aims to apply the K-Means Clustering algorithm to identify student discipline patterns based on attendance behavior and support objective, data-driven intervention planning. Methods – This study employed a quantitative computational experiment using attendance data from 23 students at SMK Negeri 1 Bolango Utara over 33 effective school days. Student identities were anonymized using subject codes. Two variables were analyzed: on-time attendance frequency and tardiness frequency. The number of clusters was set to K=3 based on managerial discipline categories and validated using the Elbow Method through Within-Cluster Sum of Squares analysis. Findings – The results classified students into three discipline profiles. Cluster 1 consisted of 13 students categorized as highly disciplined, Cluster 3 consisted of 5 students categorized as moderately disciplined, and Cluster 2 consisted of 5 students categorized as less disciplined. The less disciplined cluster showed a critical pattern, with an average tardiness frequency of 16.80, exceeding its average on-time attendance frequency of 16.20. Research implications – The findings indicate that K-Means clustering can transform passive attendance records into actionable discipline profiles. However, the study was limited to one school, 23 students, and two attendance variables. Originality – This study contributes a simple computational framework for developing an attendance-based early warning system for student discipline management in vocational education.
Co-Authors Abd. Aziz Bouty Abdul Aziz Bouty Abdul Muis Mappalotteng Abdul Sakti Abdul Wahab Thomas Abdul, Siti Sabrina Ramadanti Abdulaziz Ahmed siyad Adnan Engelen Afrizal Zein Agus Lahinta Ahmad Azhar Kadim Ahmad Jokas Bachtiar Lihu Alfian Zakaria Alfito Paputungan Amanda Nurhaliza E. Budiman Andi Muh Akbar Saputra Arip Mulyanto Ary Herlina Kurniati H.M Ashabul Taufik Ashabul Taufik Ashabul Taufik Awing, Namira Azhar Khadim Azis, Ilham Abd. Bait Syaiful Rijal Bouty, Abd Azis Budiyanto Ahaliki Butsiarah Butsiarah Dafrid Cahyadi Arifin Dendy K. Pramudito Desy Shintia H Kiding Dhita Rahmanda Tumulo Dian Novian Djanun, Soeharyono Dunggio, Mahmud Septian Dwinanto, Arif Eka Vickraien Dangkua, Eka Vickraien Engelan, Adnan Fatma Hasan H, Haeriani Haeriani Haeriani Haikal Bahri Harton H Gani Hasan, Febriyanto L. Hendrayanto . Hendrayanto Hendrayanto Hidayatullah, Galih Sarwo Hilal Bouti I Wayan Gede Sandika Indhitya R Padiku Indra Farman Indrawan Indrawan Indrawan Indrawan Ismaul Fitroh Ita Permatahati Jemmy A Pakaya Jemmy A. Pakaja Juniarti, Gita Kaluku, Pebriyanti Kamal Kamal Kasim, Alwi Arridha B Lahay, Sri Nilawaty Lanto Ningrayati Amali Laot, Firman Syahputra Leonardi, Andre Lillyan Hadjaratie Manda Rohandi Maryati, Sri Mas'ud, Huzaima Melawati Mamonto Mohamad Reza Putra Faren Idris mohammad syafri tuloli Muhamad Risal Tawil Muhammad Akram Mursalim Muhammad Chairil Imran Muhammad Hidayat Lammi Mukhlisulfatih Latief Muthia MUTHIA Muthia Muthia Nadifa, Ulfatun Nasiru, La Ode Gusman Nikmasari Pakaya Nizahrawaty Saleh Nugraha, Bariq Nur Alamsyah Nur Alamsyah Nur Alamsyah, Nur Nur Fadilah Pakaja, Jemmy A Pakaya, Jemmy A Pakaya, Jemmy A. Panu, Mohamad Fiqriansyah Putri Sesiliya Mohamad Rahman Takdir Rahmat Taufik R.L Bau Refly K. Batalipu Rhalia Adinda Lahay Rifkah Rizkiah Maradika R. Said Romanda Hippy Ruli H. Jalaman S.Pettalongi, Sagaf Salahudin Olii Seftiani Wulandari A.M. Nay Siti Sabrina Ramadanti Abdul Sitti Revaliya Abudi Sitti Suhada Siyad, Abdulaziz Ahmed Sri Ayu Ashari Sri Maryati Sri Rahmawati Adam Sudirman, Randi Sunardi Sunardi Suwandi, Ihsanulfu'ad Tuloli, Mohamad Gufran Westy Tenriawi Wildan Wildan Winda Olivia Pakaya Wira Pratama Rumambie Wiwik Andriani Yanti Aneta Yassin, Rochmad M Thohir Yassin, Rochmat mohammad Thohir Yusuf, Dzakiyah Ulya