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All Journal JURNAL SISTEM INFORMASI BISNIS MATICS : Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) TEKNOLOGI: Jurnal Ilmiah Sistem Informasi Format : Jurnal Imiah Teknik Informatika Applied Information System and Management Martabe : Jurnal Pengabdian Kepada Masyarakat JURNAL PENDIDIKAN TAMBUSAI Generation Journal JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) ABIDUMASY : Jurnal Pengabdian kepada Masyarakat Jurnal Ilmiah Research Student Jurnal Penelitian Teknologi Informasi dan Sains Journal of Artificial Intelligence and Technology Information Journal of Blockchain, Nfts and Metaverse Technology Inovate : Jurnal Ilmiah Inovasi Teknologi Informasi
Mashuri, Chamdan
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Decision Support System for Identifying Student Learning Styles in Elementary School using Naïve Bayes Algorithm khakim, ikhsanul; Mujianto, Ahmad Heru; Vitadiar, Tanhella Zein; Mashuri, Chamdan
MATICS: Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Vol 18, No 1 (2026): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v18i1.39725

Abstract

Identifying student learning styles is essential for teachers to design effective and adaptive teaching strategies. At SDN Rejoagung 3, this process is currently conducted manually through observation and interviews, which are prone to subjective bias. This research develops a web-based decision support system to classify student learning styles—Visual, Auditory, and Kinesthetic—using the Naïve Bayes algorithm. The system was built using data collected via questionnaires from students in grades 1 to 6. Testing was conducted using a confusion matrix to evaluate the model's performance. The results show that the Naïve Bayes algorithm successfully classified learning styles with an accuracy of 94.12%. This system provides a more objective and systematic tool for teachers to identify students' preferences, enabling more personalized instructional delivery in an elementary school context
Co-Authors AA Sudharmawan, AA Abda Abda Achmad Imam Agung Adi Susanto, Adi Susanto Agus Subagio Ali Imron, Muhammad Alvin Mubarok, Muhamad Ananda Wildan Fadhlulloh Anita Andriani ANITA ANDRIANI, ANITA Ardiansyah Yudistira Putra, Rocky Aries Dwi Indriyanti, Aries Dwi Arsam, Rinaldo Yudianto Augusta Jannatul Firdaus, Reza BAMBANG SUJATMIKO Beta Setiawan Claudia Afaf Azzahrah Diah Puspita, Dwi Ratna Ayu Didiek Rusdyanto Dwi Saputra, Septian Dwi Vernanda Faizah, Arbiati Fajar Alfiansyah Fajar Rohman Hariri Gayuh Afwa Maulana Alhasy Ginanjar Setyo Permadi Hadi Sucipto Hadi Sucipto, Hadi Hari Agus Prastyo, Edwin Indana Lazulfa, Indana Kapindho Febriyanto khakim, ikhsanul Kistofer, Terdy Kristianto, Hery M. Hamzah Ulumuddin Mahfudiyanto Mahrus Ali Mahrus Ali Mauludi, Kartika Moh. Abrorul Amin Mohammad Fikri Agus Setiawan Muhammad Fatkhur Rizal Muhammad Rizal Dwiki Mujianto, Ahmad Heru Nasib Marbun Nasruddin, Hammam Pawindyanto, Aditya Danang Prastyo, Edwin Hari Agus Putra Eka Prismana, IGL Putra, Rocky Ardiansyah Yudistira Putri, Unzilla Savika Qois Al’Ariq Radityo Wiratsongko Rizal, Muhammad Fatkhur Rizki, Mohammad Rofi’ul Azis, Moh. Safah, Maknun Fil Sari, Waskita Sitompul, Bernad J. D. Sri Widoyoningrum Tanhella Zein Vitadiar Tofan Putra Irianto Vitadiar, Tanhela Zein Widoyoningrum, Sri Wiratsongko, Radityo Yudistira Putra, Rocky Ardiansyah Yusuf, Lutfi Zainal Ikhwan, Muhammad Zein Vitadiar, Tanhella Zuyyinal Haqqul Barir , Much