IMPLEMENTASI CORRELATION BASED FEATURE SELECTION (CFS) UNTUK PENINGKATAN AKURASI ALGORITMA C4.5 DALAM PREDIKSI PERFORMA AKADEMIK MAHASISWA BERBASIS LEARNING MANAGEMENT SYSTEM

Main Article Content

Rizky Aspiah
Taghfirul Azhima Yoga Siswa

Abstract

The COVID-19 pandemic in the education aspect has an impact on the learning system. Muhammadiyah University of East Kalimantan utilizes the OpenLearning platform as a medium to support online learning. In this study, predictions of the performance of UMKT students in online lectures were carried out using a data mining approach. The dataset used comes from the OpenLearning platform and the Academic Administration Section which contains 2,663 data. This study aims to identify the best attributes, implement the C4.5 algorithm modeling, and search for modeling searches using a confusion matrix. The results showed that the influential indicators included time spent on courses, completed courses, assignments, quizzes, uts and labels. The implementation of the C4.5 algorithm produces a decision tree at the initial node of the quiz variable with a rank of -0.80 which is included in the true group, but if the rank is -0.80 it is included in the false group. The results of the accuracy using the distribution data of 80% training data and 20% testing data are 97.22%.

Article Details

How to Cite
Aspiah, R., & Taghfirul Azhima Yoga Siswa. (2022). IMPLEMENTASI CORRELATION BASED FEATURE SELECTION (CFS) UNTUK PENINGKATAN AKURASI ALGORITMA C4.5 DALAM PREDIKSI PERFORMA AKADEMIK MAHASISWA BERBASIS LEARNING MANAGEMENT SYSTEM. JURNAL ILMIAH BETRIK : Besemah Teknologi Informasi Dan Komputer, 13(2), 199-207. https://doi.org/10.36050/betrik.v13i2.523
Section
Articles

References

[1] KPAI. 2021. Survei Pelaksanaan Pembelajaran Jarak Jauh (PJJ) dan Sistem Penilaian Jarak Jauh Berbasis Pengaduan KPAI [pdf] Komisi Perlindungan Anak Indonesia. Tersedia di: https://bankdata.kpai.go.id/files /2021/02/Paparan-Survei-PJJ-KPAI-29042020_Final-update.pdf [Diakses 10 Februari 2020]
[2] Julianto, W., Yunitarini, R., & Sophan, M. K. (2014). Algoritma C4.5 Untuk Penilaian Kinerja Karyawan. Scan, Vo. IX,(No. 2), 33–39.
[3] Astuti, I. P. (2017). Prediksi Ketepatan Waktu Kelulusan Dengan Algoritma Data Mining C4.5. Fountain of Informatics Journal, 2(2), 5.
[4] Rofiqo, N., Windarto, A. P., & Irawan, E. (2019). Penerapan Algoritma C4.5 pada Penentuan Tingkat Pemahaman Mahasiswa Terhadap Matakuliah. Prosiding Seminar Nasional Riset Information Science (SENARIS), 1(September), 307.
[5] Anam, C., & Santoso, H. B. (2018). Perbandingan Kinerja Algoritma C4.5 dan Naive Bayes untuk Klasifikasi Penerima Beasiswa. Energy - Jurnal Ilmiah Ilmu-Ilmu Teknik, 8(1), 13–19.
[6] Indra, I. M., Saryanto, Junanah, Pramana, C., Kusnan, A., Harapap, T. K., … Rahmawati. (2021). Meningkatkan Budaya Mutu Perguruan Tinggi. Penerbit Media Sains Indonesia dan Penulis.
[7] Santoso, B., & Umam, A. (2018). Data Mining dan Big Data Analytics. Yogyakarta: Penebar Media Pustaka.
[8] Nofriansyah, D., & Nurcahyo, G. (2015). Algoritma Data Mining dan Pengujian. Yogyakarta: DEEPUBLISH.
[9] Daqiqil Id, I. (2021). Machine Learning : Teori, Studi Kasus dan Implementasi Menggunakan Python. Riau: UR PRESS.

DB Error: Unknown column 'Array' in 'where clause'