Determining the Success of Online Learning During the Covid-19 Pandemic Using the C4.5 Algorithm at Stikom Tunas Bangsa

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Eko Ahadi
Indra Gunawan
Ika Okta Kirana
Dedy Hartama
Muhammad Ridwan Lubis

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.

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How to Cite
[1]
E. Ahadi, I. Gunawan, I. Kirana, D. Hartama, and M. Lubis, “Determining the Success of Online Learning During the Covid-19 Pandemic Using the C4.5 Algorithm at Stikom Tunas Bangsa”, jicon, vol. 10, no. 1, pp. 78-85, Mar. 2022.
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References

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