Perbandingan Algoritme Naïve Bayes dan C4.5 Pada Pengklasifikasian Tingkat Pemahaman Belajar Mahasiswa Dalam Pembelajaran Daring

Trivetisia, Nora and Ramadhani, Rima Dias and Wibowo, Merlinda (2023) Perbandingan Algoritme Naïve Bayes dan C4.5 Pada Pengklasifikasian Tingkat Pemahaman Belajar Mahasiswa Dalam Pembelajaran Daring. Jurnal Ilmiah Komputer. ISSN 2685-0877

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Abstract

Online learning is a learning system that has been widely implemented since the Covid-19 Pandemic. This learning systems is synonymous with the use of the internet-based learning media. In practice, teachers often have difficulty knowing how far their students can understand the material being taught. Therefore, it is necessary to do a classification to make it easier for teachers to assess the level of understanding in terms of health, motivation, and teaching methods. Many classification algorithms can be used so that analysis is needed to find the best algorithm. This study focuses on comparative observations of two classification algorithms, namely Naive Bayes and C4.5. The dataset used is the result of a student questionnaire at the Telkom Purwokerto Institute of Technology in the form of a Likert scale. The steps taken were data preprocessing and then classification using Naive Bayes testiing accuracy of 99% compared to C4.5 with 94% accuracy. So, it can be concluded that Naive Bayes is superior to C4.5 in this case.

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