Analisis Algoritma Regresi Linear Sederhana dalam Memprediksi Tingkat Penjualan Album KPOP

Silvia Lestari

doi:10.55123/insologi.v2i1.1692

Authors

Silvia Lestari Universitas Potensi Utama

DOI:

https://doi.org/10.55123/insologi.v2i1.1692

Keywords:

Sales Rate, Music Albums, Data Mining Estimation, Linear Regression Algorithm

Abstract

Music albums in the current era of globalization are quite sought after by their fans, not only by young people, but fans are starting to reach all walks of life, from children, young people and even adults who also buy albums for their own pleasure and hobby needs. In this study, researchers tried to dig up information about music album sales, especially Korean album sales, which are currently on the rise and are enjoyed by many people, namely NCT127. Which is where NCT127 itself is one of the music groups from the country of Gineng, namely South Korea, which recently held a concert in Jakarta which had an extraordinary effect. So from that the researchers tried to analyze the level of sales of nct127 music albums by using the estimation algorithm in data mining. namely Linear Regression to find out and predict the level of Korean album sales by looking for the values of X, Y, X2, Y2, XY which is done by looking for the coefficient values and the dependent variable of each attribute or label.

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References

Ayuni, G. N., & Fitrianah, D. (2019). Penerapan metode Regresi Linear untuk prediksi penjualan properti pada PT XYZ. Jurnal Telematika, 14(2), 79–86. https://journal.ithb.ac.id/telematika/article/view/321

Dewi Putri, R., Ilmu Komputer, F., Bina Darma, U., Jenderal Ahmad Yani No, J., Seberang Ulu, K. I., Palembang, K., & Selatan, S. (2022). 2022) 2254-2263 Accredited. Jurnal Mantik, 6(2), 2254–2263.

Ginting, F., Buulolo, E., & Siagian, E. R. (2019). Implementasi Algoritma Regresi Linear Sederhana Dalam Memprediksi Besaran Pendapatan Daerah (Studi Kasus: Dinas Pendapatan Kab. Deli Serdang). KOMIK (Konferensi Nasional Teknologi Informasi Dan Komputer), 3(1), 274–279. https://doi.org/10.30865/komik.v3i1.1602

Hartini, D., & Informasi, S. (n.d.). Implementasi Data Mining Rought Set Dalam. 97.

Jamaris, M. (2017). Implementasi Metode Rough Set Untuk Menentukan Kelayakan Bantuan Dana Hibah Fasilitas Rumah Ibadah. INOVTEK Polbeng - Seri Informatika, 2(2), 161. https://doi.org/10.35314/isi.v2i2.203

Mahardika, Maryani, E., & Rizal, E. (2022). Budaya Korean Wave Sebagai Komoditas Industri Media Indonesia. Jurnal Ilmiah Ilmu Komunikasi Communique , 5(1), 121–133. www.ejurnal.stikpmedan.ac.id

Petrus Katemba, & Koro, R. (2015). Menggunakan Regresi Linear. Jurnal Ilmiah Flash, 3, 42–51.

Riset, J., Informasi, S., & Informatika, T. (2016). No Title. 1, 1–6.

Santoso, H., Hariyadi, I. P., & Prayitno. (2016). Data Mining Analisa Pola Pembelian Produk. Teknik Informatika, 1, 19–24.

Setyoningrum, N. R., & Rahimma, P. J. (2022). Implementasi Algoritma Regresi Linear Dalam Sistem Prediksi Pendaftar Mahasiswa Baru Sekolah Tinggi Teknologi Indonesia Tanjungpinang. Prosiding Seminar Nasional Ilmu Sosial Dan Teknologi (SNISTEK), 4, 13–18.

Yuliawan, B. A. P., & Subakti, G. E. (2022). Pengaruh Fenomena Korean Wave (K-Pop dan K-Drama) Terhadap Perilaku Konsumtif Penggemarnya Perspektif Islam. Jurnal Penelitian Keislaman, 18(01), 35–48.