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All Journal DE JURE Jurnal Asy-Syari'ah El-Mashlahah JURNAL MAHKAMAH JMPM: Jurnal Matematika dan Pendidikan Matematika MONETER Legal Standing : Jurnal Ilmu Hukum Building of Informatics, Technology and Science Ulumuddin : Jurnal Ilmu-ilmu Keislaman Dinasti International Journal of Education Management and Social Science PAKAR Pendidikan AL IQTISHOD: Jurnal Pemikiran dan Penelitian Ekonomi Islam VARIA HUKUM: Jurnal Forum Studi Hukum dan Kemasyarakatan Jurnal Res Justitia : Jurnal Ilmu Hukum Action Research Literate (ARL) Locus: Jurnal Konsep Ilmu Hukum Journal Of Sharia Banking Indonesian Journal of Multidisciplinary Science International Journal Mathla'ul Anwar of Halal Issues Jurnal Iman dan Spiritualitas CASHFLOW : CURRENT ADVANCED RESEARCH ON SHARIA FINANCE AND ECONOMIC WORLDWIDE HUKMY : Jurnal Hukum At-Tamwil: Journal of Islamic Economics and Finance Journal of Artificial Intelligence and Digital Business Jurnal Ekonomi, Teknologi dan Bisnis Innovative: Journal Of Social Science Research Nanggroe: Journal Of Scholarly Service International Journal of Law and Society ISLAMICA : Jurnal Ilmu-Ilmu Agama Islam Nanggroe: Journal of Scholarly Service Strata Social and Humanities Studies METRIK SERIAL TEKNOLOGI DAN SAINS Mawaddah: Jurnal Hukum Keluarga Islam Zona Law And Public Administration Indonesia Tifani : Jurnal Penelitian dan Pengabdian Kepada Masyarakat Jurnal Baut Dan Manufaktur Cakrawala: Journal of Religious Studies and Global Society Madania: Jurnal Kajian Keislaman
Syahrul Anwar, Syahrul
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Journal : Indonesian Journal of Multidisciplinary Science

 1 
Application of K-Means and C4.5 Algorithms for dropout risk prediction in vocational high schools Anwar, Syahrul
Indonesian Journal of Multidisciplinary Science Vol. 4 No. 5 (2025): Indonesian Journal of Multidisciplinary Science
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/ijoms.v4i5.1102

Abstract

The issue of dropout remains a serious challenge at the vocational high school (SMK) level, including at SMK Islam Nusantara. Over the past five years, the school has experienced a dropout rate of 20% of all enrolled students. This study aims to identify students at high risk of dropping out by applying the K-Means and C4.5 algorithms. The K-Means algorithm is used to cluster students based on factors such as academic performance, socioeconomic conditions, and the distance from home to school. Subsequently, the C4.5 algorithm is used to predict dropout risk based on the clustering results. The data used in this study were obtained directly from the Dapodik Data Center of SMK Islam Nusantara and include student data from the 2019 to 2024 academic years. The results indicate that socioeconomic factors, the distance from home to school, and academic performance significantly influence dropout risk. Students from low-income families and with poor academic performance were found to be at the highest risk of dropping out. This study makes a significant contribution to SMK Islam Nusantara by developing an early warning system that can help identify students at risk of dropping out. With more targeted interventions, such as academic counseling and socioeconomic support, it is expected that the dropout rate can be significantly reduced. Additionally, this predictive model can be applied to other vocational schools with similar conditions to improve the overall quality of vocational education.
Co-Authors ., Rachmatullaily Abdullah, Fadli Daud Aden Rosadi Aen, I. Nurul Ahmad Fathonih, Ahmad Ahmad Ridwan Aisah, Putri Maharani Rahma Alif, Muhammad Nur Almurni, Muhammad Furqon Anwari, Amalia Nur Arifiansah, Arifiansah Asyroflie, Farrel Badarulzaman, Muhammad Hafiz Cahyani, Putri Tri Christina Juliane, Christina Darmawan, Muhammad Abdi Dede Kania Diah Sugiarti, Lilis Didi Sumardi, Didi Dody Prayitno Dona, Dona Dwi Yulianto Eli Suryani Ending Solehudin Faiq, Faiq Faizal, Enceng Arif Faturokhman, Aziz Fauzan . Fauzan Ali Rasyid Fauzi Ahmad Muda Fauziah, Dita Anggun Fauziansah, Silvanus Fitrianto, Bambang Fitriyani Fitriyani Habibah Arifin, Desi Siti Hakim , Arief Rahman Hardiati, Neni Hermawan, Dudung Hikmawati, Nina Kurnia Humaira Siti Salma, Shofya I Nurol Aen Ibnu Elmi AS Pelu Imam Muttaqin, Faruqi Jaenudin Jaenudin Jauhari, Moh. Ahsanuddin Jefry Tarantang Koidin Kuraesin, Siti Kusuma, Fajar Ichsan Lena Ishelmiani Ziarahah Madani, Farid Malik, Deden Abdul Maryadi Maryadi Mastur, Atep Maulana Hasanuddin, Maulana Moh. Rizal Umami Mohd Anuar Ramli Muhammad Nuruddien Muhammad Yusup, Rangga munir, dede Najmudin, Deden Najmudin, Deden Ningrum, Novita Ardiyanti Novianti, Erika Nurhikmah, Aulia Nurjaman, Muhamad Izazi Nursamsi, Widia Prasetia, Riky Prasetiadi, Yan Septiawan Qiftia, Maryathul Ramdani Wahyu Sururie Ridwan, Ahmad Hasan Rifqi Lidzikrirrofiqi, Muhammad Rizal Umami, Moh. Saepuloh, Usep Safitriani, Mida Saiful Anwar Sakinah, Nailus Sari, Mulyani Indah Sephia, Reyhan septiadi, yans Sujana, Ahmad Sulistiyo, Budi Supriatna, Encup Syahidin, Rosyad Wijaya, Adje Yusup Junaedi Zulvia, Ransya Ayu