Analisis Algoritma C4.5 Terhadap Faktor Penyebab Menurunnya Potensi Belajar Siswa Pada Masa Pandemi

F Fitriyani(1*), Harly Okprana(2), Rizky Khairunnisa Sormin(3),

(1) STIKOM Tunas Bangsa, Pematangsiantar
(2) STIKOM Tunas Bangsa, Pematangsiantar
(3) STIKOM Tunas Bangsa, Pematangsiantar
(*) Corresponding Author

Abstract


At the end of 2019 the world was shaken by the Covid-19 outbreak. The Ministry of Education has also implemented a policy of studying at home online or online. When using the online learning system, it doesn't always run smoothly, there must be problems that can occur, namely problems such as students not understanding the material presented by the teacher and many students who only have one Android and there are even students who don't have Android at all, their environmental factors also do not support them to learn with focus. The purpose of this study was to determine the factors causing the decline in student learning potential during the pandemic using the c4.5 data mining method. The source of the research data was obtained from distributing questionnaires to high school students of the Family College Foundation. In this study, there are five criteria that influence the factors that cause the decline in student learning potential during the pandemic, namely: How to learn, study time, understanding of the material, assignment and environment. The calculation results state that the environmental criteria are the criteria that have the most influence on the factor of decreasing student learning potential. Tests were also carried out using the Rapidminer software and obtained an accuracy of 73.33%.

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References


A. Mukminin and D. Riana, “Komparasi Algoritma C4 . 5 , Naïve Bayes Dan Neural Network Untuk Klasifikasi Tanah,” J. Inform., vol. 4, no. 1, pp. 21–31, 2017.

P. Alkhairi, I. S. Damanik, and A. P. Windarto, “Penerapan Jaringan Saraf Tiruan untuk Mengukur Korelasi Beban Kerja Dosen Terhadap Peningkatan Jumlah Publikasi,” Pros. Semin. Nas. Ris. Inf. Sci., vol. 1, no. September, p. 581, 2019, doi: 10.30645/senaris.v1i0.65.

T. R. I. B. Tusarwenda, “Penerapan data mining dengan algoritma c4.5 dalam prediksi penjualan botol pada cv. seribukilo,” 2018.

K. F. Irnanda, D. Hartama, and A. P. Windarto, “Analisa Klasifikasi C4 . 5 Terhadap Faktor Penyebab Menurunnya Prestasi Belajar Mahasiswa Pada Masa Pandemi,” J. Media Inform. Budidarma, vol. 5, no. 1, pp. 327–331, 2021, doi: 10.30865/mib.v5i1.2763.

Febni Suasty and Ahmad Alfian Hadi, “Penggunan Media Pembelajaran Video untuk Solusi Penurunan Pemahaman Materi Pembelajaran Ketika Belajar Online Akibat Pandemic Covid-19,” Milen. J. Teach. Learn., vol. 1, no. 1, pp. 12–16, 2020.

K. A. Saputra, J. T. Hardinata, M. R. Lubis, and S. R. Andani, “Klasifikasi Algoritma C4 . 5 Dalam Penerapan Tingkat Kepuasan Siswa Terhadap Media Pembelajaran Online,” vol. 1, no. 3, pp. 113–118, 2020.

D. Merawati and Rino, “Penerapan data mining penentu minat Dan bakat siswa Smk dengan metode C4 . 5,” J. Algor, vol. 1, no. 1, pp. 28–37, 2019.

D. K. Widiyati, M. Wati, and H. S. Pakpahan, “Penerapan

Algoritma ID3 Decision Tree Pada Penentuan Penerima Program Bantuan Pemerintah Daerah di Kabupaten Kutai Kartanegara,” J. Rekayasa Teknol. Inf., vol. 2, no. 2, p. 125, 2018, doi: 10.30872/jurti.v2i2.1864.

K. F. Irnanda and A. P. Windarto, “Penerapan Klasifikasi C4.5 Dalam Meningkatkan Kecakapan Berbahasa Inggris dalam Masyarakat,” Semin. Nas. Teknol. Komput. Sains, pp. 304–308, 2020.

Y. S. Luvia, A. P. Windarto, S. Solikhun, and D. Hartama, “Penerapan Algoritma C4.5 Untuk Klasifikasi Predikat Keberhasilan Mahasiswa Di Amik Tunas Bangsa,” Jurasik (Jurnal Ris. Sist. Inf. dan Tek. Inform., vol. 1, no. 1, p. 75, 2017, doi: 10.30645/jurasik.v1i1.12.

A. H. Nasrullah, “Penerapan Metode C4.5 untuk Klasifikasi Mahasiswa Berpotensi Drop Out,” Ilk. J. Ilm., vol. 10, no. 2, p. 244, 2018, doi: 10.33096/ilkom.v10i2.300.244-250.

L. N. Rani, “Klasifikasi Nasabah Menggunakan Algoritma,” J. KomTekInfo Fak. Ilmu Komput., vol. 2, no. 2, pp. 33–38, 2015.

L. N. Rani, “Klasifikasi Nasabah Menggunakan Algoritma C4.5 Sebagai Dasar Pemberian Kredit,” J. KomTekInfo Fak. Ilmu Komput., vol. 2, no. 2, pp. 33–38, 2015.

Hendrianto, “Manajemen Strategi Pengelolaan Pasar Dalam Meningkatkan Pendapatan Pedagang Perspektif Ekonomi Islam (Studi di Pasar Segamas Purbalingga),” pp. 1–94, 2018.

A. D. I. Suradi, “Penerapan data mining untuk menentukan rekomendasi beasiswa dengan metode algoritma c4.5,” 2018.

W. D. Septiani, “Komparasi Metode Klasifikasi Data Mining Algoritma C4.5 Dan Naive Bayes Untuk Prediksi Penyakit Hepatitis,” None, vol. 13, no. 1, pp. 76–84, 2017, doi: 10.33480/pilar.v13i1.149.




DOI: https://doi.org/10.30645/kesatria.v3i1.96

DOI (PDF): https://doi.org/10.30645/kesatria.v3i1.96.g96

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