Penerapan Algoritma C4.5 pada Penentuan Tingkat Pemahaman Mahasiswa Terhadap Matakuliah

Abstract

This study aims to classify the level of understanding of students at STIKOM Tunas Bangsa Pematangsiantar. STIKOM Tunas Bangsa is one of the private universities in North Sumatra that is engaged in the field of computer science. In carrying out lecture activities, students are required to understand each lecture material provided by the lecturer. There are several things that can affect the level of understanding of students in receiving lecture material. The data source was obtained from the results of the fifth semester and seven student questionnaires in the STIKOM Tunas Bangsa Information System department. Attributes used are as many as five, namely communication, learning atmosphere, learning media, appearance and how to teach. The method used in the research is C4.5 Algorithm and assisted by RapidMiner software to make decision trees. From the results of the study, there were 14 rules for classification in determining the level of understanding with 9 rules, the best status and 5 rules did not understand. C4.5 algorithm can be used in the case of determining the level of understanding of students at STIKOM Tunas Bangsa with an accuracy rate of 87.10%. With this analysis it is expected to be a motivation for students to be able to understand the course well.

Classification of Early Childhood Reading with C4.5 Algorithm

“…The algorithms commonly used for data mining are ID3, C4.5, K-Means, Naive Bayes, Support Vector Machines, Apriori algorithms and other data mining algorithms [8]. Classification is the process of grouping a set of objects in the database into classes based on the similarity or classification specified [9].…”

Klasifikasi Tingkat Stres Akademik dan Gambaran Mekanisme Koping Mahasiswa

“…Salah satu pengembang algoritma dalam decision tree adalah Quinlan. Ross Quinlan telah menyumbangkan setidaknya 3 algoritma yaitu ID3, C4.5 dan C5.0 (Utomo & Aripin, 2021). Algoritma C5.0 telah digunakan secara luas dalam berbagai penelitian seperti untuk mengidentifikasi pola kepuasan mahasiswa (Utomo & Aripin, 2021), klasifikasi pendapatan masyarakat (Wijaya et al, 2018), klasifikasi kemiskinan (Wenas, 2021) dan lain sebagainya.…”

Penerapan Algoritma C5.0 Dalam Menentukan Tingkat Pemahaman Mahasiswa Terhadap Pembelajaran Daring

“…Data Mining adalah sebuah proses yang menggunakan teknik analisis data untuk menemukan hubungan dan pola tersembunyi dari data yang diolah [4,5]. Kemudian data yang diolah menghasilkan suatu pengetahuan baru yang bersumber dari data lama, hasil dari pengolahan data dapat digunakan dalam menentukan keputusan di masa depan [6].…”