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All Journal TEKNIK INFORMATIKA Jurnal Inovasi Teknologi Pendidikan Pro Bisnis Telematika CogITo Smart Journal Jurnal Mantik Penusa Jurnal Pengabdian Masyarakat AbdiMas JIPN (Journal of Informatics Pelita Nusantara) DIKEMAS (Jurnal Pengabdian Kepada Masyarakat) Jurnal Pelayanan dan Pengabdian Masyarakat (Pamas) Journal of Information Systems and Informatics IJIIS: International Journal of Informatics and Information Systems JITU : Journal Informatic Technology And Communication Journal of Innovation Information Technology and Application (JINITA) Akrab Juara : Jurnal Ilmu-ilmu Sosial Journal of Information Technology Ampera Journal of Applied Data Sciences Jurnal Ilmiah IT CIDA : Diseminasi Teknologi Informasi Journal of Multimedia Trend and Technology Journal of Informatics and Interactive Technology (JIITE)
Irfan Santiko
Universitas Amikom Purwokerto
Arts Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Medicine & Pharmacology Social Sciences

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Journal : Journal of Applied Data Sciences

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Traditional-Enhance-Mobile-Ubiquitous-Smart: Model Innovation in Higher Education Learning Style Classification Using Multidimensional and Machine Learning Methods Santiko, Irfan; Soeprobowati, Tri Retnaningsih; Surarso, Bayu; Tahyudin, Imam; Hasibuan, Zainal Arifin; Che Pee, Ahmad Naim
Journal of Applied Data Sciences Vol 6, No 1: JANUARY 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v6i1.598

Abstract

Learning achievement is undoubtedly impacted by each person's unique learning style. The assessment pattern is less focused due to the intricacy of the current components. In fact, general elements like VARK are thought to create complexity that can impair focus when combined with elements like environmental conditions, teacher effectiveness, and stakeholder policies. Although it is only ideal in specific areas, the application of supported information technology has so far yielded positive results. This essay attempts to be creative in evaluating how well students learn in higher education settings. An assessment framework that uses multidimensionality and simplifies features is the innovation that is being offered. Method, Material, and Media (3M) are the three categories into which simplification of aspects is separated. However, the Dimensions are categorized into five groups: Traditional, Enhance, Mobile, Ubiquitous, and Smart (TEMUS). Approximately 1200 respondents consisting of students and lecturers formed into a dataset in 2 types of data, namely test data and training data. The trial was conducted using 4 models, namely Random Forest, SVM, Decision Tree, and K-Nearest. The test results were interpreted in MSE, R-Square, Accuracy, Recall, Precision, and F1-Score. Based on the comparison of test results, it states that Random Forest has the most optimal results with MSE values of 0.46, R Square 0.99, Accuracy 0.86, Recall 0.86, Precision 0.87, F1 Score 0.84. Based on the results obtained, it proves that in addition to being able to carry out the classification process, the TEMUS Dimensional Framework can form a pattern of compatibility with each other, between the learning styles of Lecturers and Students. According to this TEMUS framework, teacher and student performance will be deemed suitable and effective when the 3M components are assessed from both perspectives in the same way. If not, a review will be conducted.
Co-Authors Ade Irma Suryani Agus Pramono Andriana, Gerry Anisa Nur Qomariyah Anteng Widodo Anugerah Bagus Wijaya Arief Hidayat Aulia Hamdi Bayu Surarso Che Pee, Ahmad Naim Damayanti, Elok Darso, Darso Deni Kurniawan Dwi Krisbiantoro Dwi Krisbiantoro Dwi Krisbiantoro, Dwi Fajar Nugraha Gustin Setyaningsih Helik Hermawan Hellik Hermawan Honggo, Ikhsan ilham albana Imam Tahyudin Jihan Nadila Luky Rafi Anuggilarso Luthfi Cahya Andhika Muhammad Arifin Pradita Novianthy Pradita Novianthy Sukisno Prasetyo, Agung Pratomo Setiaji Pungkas Subarkah Rafli Husain Kurniawan Rahman Rosidi Retno Waluyo Riyanto Riyanto Riyanto Salsa Billa Zulmi Zettira Sofyan Fathur Rohim Suliswaningsih Supriyono Supriyono Syariful Ikhwan Tamaulina Br Sembiring Titin Nur Prihatiningsih Toni Anwar Tri Retnaningsih Soeprobowati Yuliadi Fajar Pangestu Zainal Arifin Hasibuan