Analisa Klasifikasi C4.5 Terhadap Faktor Penyebab Menurunnya Prestasi Belajar Mahasiswa Pada Masa Pandemi

Khairunnissa Fanny Irnanda, Dedy Hartama, Agus Perdana Windarto

Abstract


The purpose of the study was to classify the factors causing the decline in student achievement during the pandemic using the C4.5 datamining method. Sources of research data were obtained by conducting interviews and distributing questionnaires to 7th semester students of the 2020-2021 school year information system study program. Attributes that used in the classification of the factors causing the decline in student achievement include: Learning Method (C1), Study Time (C2), Material Understanding (C3), Giving Assignments (C4) and Environment (C5). The results of the calculation show that the Material Understanding (C3) attribute is the attribute that most influences the decline in student learning achievement. Testing was also carried out using the help of Rapidminer software and obtained an accuracy of 97.5%.


Keywords


Classification; Datamining; C4.5; Learning Achievement; Pandemic

Full Text:

PDF

References


F. Suasty and A. A. Hadi, “Penggunan Media Pembelajaran Video untuk Solusi Penurunan Pemahaman Materi Pembelajaran Ketika Belajar Online Akibat Pandemic Covid-19,†vol. 1, no. 1, pp. 12–16, 2020.

B. Nadeak, C. P. Juwita, and E. Sormin, “Hubungan kemampuan berpikir kritis mahasiswa dengan penggunaan media sosial terhadap capaian pembelajaran pada masa pandemi Covid-19,†vol. 8, no. 2, pp. 98–104, 2020.

A. Cahyani et al., “Motivasi Belajar Siswa SMA pada Pembelajaran Daring di Masa Pandemi Covid-19,†vol. 3, no. 01, pp. 123–140, 2020.

M. Belajar, S. Pada, M. Pandemi, C. Di, and K. V. S. D. N. Ngembel, “The Effectiveness Of Bion ( Bintang Online ) In Improving The Learning Motivation Of 5 Th Grade Students In State Elementary School 1 Of Ngembel,†vol. 6, pp. 184–198, 2020.

A. P. Windarto, U. Indriani, M. R. Raharjo, and L. S. Dewi, “Bagian 1: Kombinasi Metode Klastering dan Klasifikasi (Kasus Pandemi Covid-19 di Indonesia),†J. Media Inform. Budidarma, vol. 4, no. 3, p. 855, 2020, doi: 10.30865/mib.v4i3.2312.

B. Supriyadi, A. P. Windarto, T. Soemartono, and Mungad, “Classification of natural disaster prone areas in Indonesia using K-means,†Int. J. Grid Distrib. Comput., vol. 11, no. 8, pp. 87–98, 2018, doi: 10.14257/ijgdc.2018.11.8.08.

A. Waluyo, H. Jatnika, M. R. S. Permatasari, T. Tuslaela, I. Purnamasari, and A. P. Windarto, “Data Mining Optimization uses C4.5 Classification and Particle Swarm Optimization (PSO) in the location selection of Student Boardinghouses,†IOP Conf. Ser. Mater. Sci. Eng., vol. 874, no. 1, pp. 1–9, 2020, doi: 10.1088/1757-899X/874/1/012024.

M. Widyastuti, A. G. Fepdiani Simanjuntak, D. Hartama, A. P. Windarto, and A. Wanto, “Classification Model C.45 on Determining the Quality of Custumer Service in Bank BTN Pematangsiantar Branch,†J. Phys. Conf. Ser., vol. 1255, no. 1, pp. 1–6, 2019, doi: 10.1088/1742-6596/1255/1/012002.

S. Sundari, Karmila, M. N. Fadli, D. Hartama, A. P. Windarto, and A. Wanto, “Decision Support System on Selection of Lecturer Research Grant Proposals using Preferences Selection Index,†J. Phys. Conf. Ser., vol. 1255, no. 1, pp. 1–8, 2019, doi: 10.1088/1742-6596/1255/1/012006.

W. Katrina, H. J. Damanik, F. Parhusip, D. Hartama, A. P. Windarto, and A. Wanto, “C.45 Classification Rules Model for Determining Students Level of Understanding of the Subject,†J. Phys. Conf. Ser., vol. 1255, no. 1, 2019, doi: 10.1088/1742-6596/1255/1/012005.

A. P. Windarto, J. Na, and A. Wanto, “Bagian 2 : Model Arsitektur Neural Network dengan Kombinasi K- Medoids dan Backpropagation pada kasus Pandemi COVID-19 di Indonesia,†vol. 4, pp. 1175–1180, 2020, doi: 10.30865/mib.v4i4.2505.

K. F. Irnanda and A. P. Windarto, “Penerapan Klasifikasi C4 . 5 Dalam Meningkatkan Kecakapan Berbahasa Inggris dalam Masyarakat,†pp. 304–308, 2020.

F. Rahman, I. I. Ridho, M. Muflih, S. Pratama, M. R. Raharjo, and A. P. Windarto, “Application of Data Mining Technique using K-Medoids in the case of Export of Crude Petroleum Materials to the Destination Country,†IOP Conf. Ser. Mater. Sci. Eng., vol. 835, no. 1, 2020, doi: 10.1088/1757-899X/835/1/012058.

M. Ridwan, H. Suyono, and M. Sarosa, “Penerapan Data Mining Untuk Evaluasi Kinerja Akademik Mahasiswa Menggunakan Algoritma Naive Bayes Classifier,†vol. 7, no. 1, pp. 59–64, 2013.

S. Sivakumari, R. P. Priyadarsini, and P. Amudha, “Accuracy Evaluation Of C4.5 And Naive Bayes Classifier Using Attribute Ranking Method,†Int. J. Comput. Intell. Syst., vol. 2, no. 1, pp. 60–68, 2009.

E. Indra, K. Ho, Arlinanda, R. Hakim, D. Sitanggang, and O. Sihombing, “Application of C4.5 Algorithm for Cattle Disease Classification,†J. Phys. Conf. Ser., vol. 1230, no. 1, 2019, doi: 10.1088/1742-6596/1230/1/012070.

Hermanto, S. J. Kuryanti, and S. N. Khasanah, “Comparison of Naïve Bayes Algorithm , C4 . 5 and Random Forest for Service Classification Ojek Online,†J. Publ. Informatics Eng. Res., vol. 3, no. April 2019, pp. 266–274, 2019.

B. R. C. T. I et al., “Implemetasi k-means clustering pada rapidminer untuk analisis daerah rawan kecelakaan,†no. April, pp. 58–62, 2017.

A. P. Windarto, P. Studi, S. Informasi, and D. Mining, “Penerapan Data Mining Pada Ekspor Buah-Buahan Menurut Negara Tujuan Menggunakan K-Means Clustering,†vol. 16, no. 4, pp. 348–357, 2017.




DOI: https://doi.org/10.30865/mib.v5i1.2763

Refbacks

  • There are currently no refbacks.


Copyright (c) 2021 JURNAL MEDIA INFORMATIKA BUDIDARMA

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.


JURNAL MEDIA INFORMATIKA BUDIDARMA
Universitas Budi Darma
Secretariat: Sisingamangaraja No. 338 Telp 061-7875998
Email: mib.stmikbd@gmail.com

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.