Classification of Factors Causing the Decline in Student Learning Achievement in The Post-Pandemic Period Using the C4.5 Algorithm (Case Study: STMIK Kaputama)

Authors

  • Nazwa Nurul Hafizah Rangkuti STMIK KAPUTAMA
  • A M H Pardede STMIK KAPUTAMA
  • Tioria Pasaribu STMIK KAPUTAMA

DOI:

https://doi.org/10.59934/jaiea.v4i1.630

Keywords:

C4.5 Algorithm, Decrease in Achievement, Data Classification

Abstract

The COVID-19 pandemic that has hit Indonesia since 2020 has brought significant changes to various aspects of life, including the learning system in universities. Universities, which originally implemented face-to-face learning processes, were forced to adapt to online learning. However, this change causes various obstacles, especially for students who experience learning loss, namely a decrease in interest and motivation to learn which has an impact on academic achievement. This research aims to classify the factors that cause the decline in student learning achievement in the post-pandemic period at STMIK Kaputama using the C4.5 algorithm. Using data from STMIK Kaputama students as a sample, this research analyzes various factors such as access to technology, involvement in online learning, participation in face-to-face learning, social support, learning motivation, economic conditions, family, college, and academic stress levels. It is hoped that the results of this research will provide a deeper understanding of the dominant factors that cause a decline in learning achievement, as well as become a reference for educational institutions in developing strategies to overcome the negative impacts of online learning during the pandemic

 

Keywords: C4.5 Algorithm, Decrease in Achievement, Data Classification

 

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References

Terayanti, Y. A. (2020). Pengaruh Pembelajaran Pada Anak Berkebutuhan Khusus Di Masa Pandemi Covid-19.

Sukma, Halfis, dan Hermawan. (2019). Klasifikasi Channel Youtube Indonesia Menggunakan Algoritma C4.5, Volume V No. 1 Februari 2019 P-ISSN 2442-2436, E-ISSN: 2550-0120

Korompot, S., Rahim, M., & Pakaya, R. (2020). Persepsi siswa tentang faktor yang mempengaruhi minat belajar. JAMBURA Guidance and Counseling Journal, 1(1), 40–48

Sugiyono, S. (2015). Metode Penelitian Kuantitatif Kualitatif Dan R & D Cetakan 17. Bandung: CV Alfabeta

W. Rahayu, “Synthetic Minority Oversampling Technique (SMOTE) for Boosting the Accuracy of C4.5 Algorithm Model”, j. of artif. intell. and eng. appl., vol. 3, no. 3, pp. 624–630, Jun. 2024.

M. Rudi Fanani and E. B. Agustina, “Implementation Of the C4.5 Algorithm With The Backward Elimination Feature Selection For MSME Product Sales Strategy”, j. of artif. intell. and eng. appl., vol. 3, no. 3, pp. 677–681, Jun. 2024.

Rika Nur Adiha, “APPLICATION OF DATA MINING IN DETERMINING SOCIAL ASSISTANCE RECIPIENTS WITH C4.5 ALGORITHM ”, j. of artif. intell. and eng. appl., vol. 1, no. 2, pp. 118–127, Feb. 2022.

Adeita A. Ndraha, J. T. Hardinata, and Y. P. Purba, “Application Of The C4.5 Algorithm To Determining Student’s Level Of Understanding”, j. of artif. intell. and eng. appl., vol. 1, no. 2, pp. 162–167, Feb. 2022.

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Published

2024-10-15

How to Cite

Rangkuti, N. N. H., Pardede, A. M. H., & Pasaribu, T. (2024). Classification of Factors Causing the Decline in Student Learning Achievement in The Post-Pandemic Period Using the C4.5 Algorithm (Case Study: STMIK Kaputama). Journal of Artificial Intelligence and Engineering Applications (JAIEA), 4(1), 318–322. https://doi.org/10.59934/jaiea.v4i1.630