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All Journal JIPI (Jurnal Ilmu Perpustakaan dan Informasi)
Zahra, Azkiya
UIN Sumatera Utara
Library & Information Science

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Pengembangan Aplikasi Web Berbasis Algoritma C5.0 Memprediksi Prestasi Siswa Berdasarkan Gaya Belajar Zahra, Azkiya; Nasution, Yusuf Ramadhan; Lubis, Aidil Halim
JIPI (Jurnal Ilmu Perpustakaan dan Informasi) Vol 8, No 2 (2023)
Publisher : Progam Studi Ilmu Perpustakaan UIN Sumatera Utara Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/jipi.v8i2.18072

Abstract

The application of data mining in education has recently been developed. It is used to predict many aspects of learning. This research aims at finding out how to develop a web-based application using algorithm C5.0 to predict students’ achievement based on their learning styles. This study was conducted in Madrasah Tsanawiyah Darul Ilmi Batangkuis, Kabupaten Deli Serdang, Sumatera Utara. This research uses a CRISP-DM method to develop a web-based application. The result of data analysis shows that data mining can be used to predict students learning achievement based on their learning styles, which are categorized as visual, auditory, and kinesthetic. Predictions on students’ learning achievement can be found by using this application. The accuracy level of this application gains 100% and the error deviation is 0%. The data manual calculation of this research shows that the learning style that can be developed is kinesthetic.
Co-Authors Lubis, Aidil Halim Nasution, Yusuf Ramadhan