Application of C4.5 Algorithm in Improving English Skills in Students
DOI:
https://doi.org/10.32493/informatika.v5i3.5268Keywords:
C4.5 algorithm, English, data mining, improving, abilityAbstract
In this world, many languages from other countries can be used as a communication tool. One of them is English. Students who has qualification must know that learning English is very much needed. Because nobody knows what will happen in the next few years. It could be one factor to obtain a position the next few years is our expertise in speaking English. English is a global language used by people to communicate with other people. On this occasion, researchers conducted research to determine what factors can improve students' ability to speak English. To complete this research, researchers resolve by applying the existing algorithm in data mining, namely C4.5 Algorithm. The result of this research can be concluded that the factors that influence to improve students ability in English are hearing from the environment.
References
Branch, P., Widyastuti, M., Gracella, A., Simanjuntak, F., & Hartama, D. (2019). Classification Model C . 45 on Determining the Quality of Custumer Service in Bank BTN Classification Model C . 45 on Determining the Quality of Custumer Service in Bank BTN Pematangsiantar Branch. https://doi.org/10.1088/1742-6596/1255/1/012002
Febriarini, A. S., & Astuti, E. Z. (n.d.). Penerapan Algoritma C4 . 5 untuk Prediksi Kepuasan Penumpang Bus Rapid Transit ( BRT ) Trans Semarang. 95–103. https://doi.org/10.30864/eksplora.v8i2.156
Haryati, S., Sudarsono, A., & Suryana, E. (2015). Implementasi Data Mining untuk Memprediksi Masa Studi Mahasiswa Menggunakan Algoritma C4.5 (Studi Kasus: Universitas Dehasen Bengkulu). 11(2), 130–138. https://doi.org/10.37676/jmi.v11i2.260
Irnanda, K. F., & Windarto, A. P. (2020). Penerapan Klasifikasi C4.5 Dalam Meningkatkan Kecakapan Berbahasa Inggris dalam Masyarakat. Seminar Nasional Teknologi Komputer & Sains (SAINTEKS), 304–308. Medan: STMIK Budi Darma.
Kamber, M. (n.d.). Data Mining?: Concepts and Techniques Third Edition.
Katrina, W., Damanik, H. J., & Parhusip, F. (2019). C . 45 Classification Rules Model for Determining Students Level of Understanding of the Subject C . 45 Classification Rules Model for Determining Students Level of Understanding of the Subject. https://doi.org/10.1088/1742-6596/1255/1/012005
Luvia, Y. S., Windarto, A. P., Solikhun, S., & Hartama, D. (2017). Penerapan Algoritma C4.5 untuk Klasifikasi Predikat Keberhasilan Mahasiswa di AMIK Tunas Bangsa. Jurasik (Jurnal Riset Sistem Informasi Dan Teknik Informatika), 1(1), 75–79. https://doi.org/10.30645/jurasik.v1i1.12
Megawati, F. (2016). Kesulitan Mahasiswa dalam Mencapai Pembelajaran Bahasa Inggris Secara Efektif. PEDAGOGIA: Jurnal Pendidikan, 5(2), 147–156. https://doi.org/10.21070/pedagogia.v5i2.246
Rofiqo, N., Windarto, A. P., & Hartama, D. (2018). Penerapan Clustering pada Penduduk yang Mempunyai Keluhan Kesehatan dengan Datamining K-Means. KOMIK (Konferensi Nasional Teknologi Informasi Dan Komputer), 2(1), 216–223. https://doi.org/10.30865/komik.v2i1.929
Sadewo, M. G., Windarto, A. P., & Wanto, A. (2018). Penerapan Algoritma Clustering dalam Mengelompokkan Banyaknya Desa/Kelurahan Menurut Upaya Antisipasi/Mitigasi Bencana Alam Menurut Provinsi dengan K-Means. KOMIK (Konferensi Nasional Teknologi Informasi Dan Komputer), 2(1), 311–319. https://doi.org/10.30865/komik.v2i1.943
Sari, R. W., Wanto, A., & Windarto, A. P. (2018). Implementasi Rapidminer dengan Metode K-Means (Study Kasus: Imunisasi Campak pada Balita Berdasarkan Provinsi). KOMIK (Konferensi Nasional Teknologi Informasi Dan Komputer), 2(1), 224–230. https://doi.org/10.30865/komik.v2i1.930
Series, C. (2019). The Application of Data Mining in Determining Patterns of Interest of High School Graduates The Application of Data Mining in Determining Patterns of Interest of High School Graduates. https://doi.org/10.1088/1742-6596/1339/1/012042
Swarm, P., Analysis, P. C., Problem, O. D., & Prediction, E. P. (2018). Data mining tools | rapidminer?: K-means method on clustering of rice crops by province as efforts to stabilize food crops in Indonesia. https://doi.org/10.1088/1757-899X/420/1/012089
Yulia, Y., & Putri, A. D. (2019). Data Mining Menggunakan Algoritma C4.5 untuk Memprediksi Kepuasan Mahasiswa Terhadap Kinerja Dosen di Kota Batam. Computer Based Information System Journal, 7(2), 56–66. https://doi.org/10.33884/cbis.v7i2.1373
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