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Eko Ahadi
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Computer Science & IT

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Penentuan Keberhasilan Pembelajaran Daring Pada Masa Pandemi Covid-19 dengan Menggunakan Algoritma C4.5 di Stikom Tunas Bangsa Eko Ahadi; Indra Gunawan; Ika Okta Kirana; Dedy Hartama; Muhammad Ridwan Lubis
J-ICON : Jurnal Komputer dan Informatika Vol 10 No 1 (2022): Maret 2022
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jicon.v10i1.6446

Abstract

The C4.5 algorithm is an algorithm for classifying, grouping and predicting. The calculation of the RapidMiner C4.5 algorithm produces the same results according to the decision tree in the case of online learning success. Manual calculations using RapidMiner produce 23 successful online learning rules. Decision trees make it easier to understand the attribute that is prioritized as the most important attribute, root class and leaf class. The C4.5 algorithm as the application of data mining can result in successful online learning decisions during the Covid-19 pandemic. The decision tree in the case of the success of online learning during the Covid-19 pandemic is said to be successful.
Co-Authors Achmad Noerkhaerin Putra Ambariyanto Ambariyanto Dedy Hartama Ika Okta Kirana Indra Gunawan Muhammad Ridwan Lubis