Penerapan data mining dalam analisa profil mahasiswa menggunakan metode support vector machines (SVM)
Keywords:
Data Mining, Knowledge Discovery Database, Support Vector Machines, Clasdification, Student Profile
Abstract
decision making. The Support Vector Machine algorithm is a method in supervised learning which is usually used for classifications such as Support Vector Classification and support Vector Regression regression. In this study the SVM algorithm was used in the classification of student data profiles at the Batam Institute of Technology, which can be used as material for consideration in determining and considering decisions to make an effective destination strategy promotion.
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References
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[2] Yuli Mardi, “Data Mining : Klasifikasi Menggunakan Algoritma C4 . 5 Data mining merupakan bagian dari tahapan proses Knowledge Discovery in Database ( KDD ) . Jurnal Edik Informatika,” J. Edik Inform., vol. 2, no. 2, pp. 213–219, 2019.
[3] A. Maria, Luki, Yopy, “Perancangan aplikasi pengantaran barang berbasis mobile,” vol. 3, no. 3, pp. 371–381, 2022.
[4] D. P. Caniago, T. Komputer, and F. T. Informasi, “Jurnal Computer Science and Information Technology ( CoSciTech ) Aplikasi Internet of Things pada Kotak Cerdas Penerima Tugas Mahasiswa menggunakan Internet of Things application on Student Assignee Smart Box using ESP32-Cam,” vol. 3, no. 3, pp. 479–486, 2022.
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[6] R. Asmara and D. Saputra, “Jurnal J – Click Jurnal J – Click,” J-Click, vol. 6, no. 2, pp. 201–207, 2019.
[7] P. M. S. Tarigan, J. T. Hardinata, H. Qurniawan, M. Safii, and R. Winanjaya, “Implementasi Data Mining Menggunakan Algoritma Apriori Dalam Menentukan Persediaan Barang,” J. Janitra Inform. dan Sist. Inf., vol. 2, no. 1, pp. 9–19, 2022, doi: 10.25008/janitra.v2i1.142.
[8] “No Title,” vol. 2, no. 2, 2019.
[9] I. K. Juni Arta, G. Indrawan, and G. R. Dantes, “Data Mining Rekomendasi Calon Mahasiswa Berprestasi Di Stmik Denpasar Menggunakan Metode Technique for Others Reference By Similarity To Ideal Solution,” JST (Jurnal Sains dan Teknol., vol. 5, no. 2, pp. 11–21, 2017, doi: 10.23887/jstundiksha.v5i2.8549.
[10] Karsito and W. Monika Sari, “Prediksi Potensi Penjualan Produk Delifrance Dengan Metode Naive Bayes Di Pt. Pangan Lestari,” J. Teknol. Pelita Bangsa, vol. 9, no. 1, pp. 67–78, 2018.
[11] B. A. Nugroho, A. Kurnia, A. Pradana, and E. Nurfarida, “Prediksi Waktu Kedatangan Pelanggan Servis Kendaraan Bermotor Berdasarkan Data Historis menggunakan Support Vector Machine,” vol. 7, no. 1, pp. 25–30, 2021.
[12] I. M. Parapat and M. T. Furqon, “Penerapan Metode Support Vector Machine ( SVM ) Pada Klasifikasi Penyimpangan Tumbuh Kembang Anak,” vol. 2, no. 10, pp. 3163–3169, 2018.
Published
2023-09-08
How to Cite
Hernando, L., Handayani, V. A., Caniago, D. P., & Nasution, N. W. (2023). Penerapan data mining dalam analisa profil mahasiswa menggunakan metode support vector machines (SVM). Jurnal CoSciTech (Computer Science and Information Technology), 4(2), 477-483. https://doi.org/10.37859/coscitech.v4i2.5107
Section
Articles
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