Analysis of Online Shopping Addiction Level Using the K-nearest Neighbor Algorithm at SMK Negeri 1 Tanjung Pura

Authors

  • Zulham Sitorus Universitas Pembangunan Panca Budi
  • Alviona Marsya Universitas Pembangunan Panca Budi
  • Desy Ramatika Universitas Pembangunan Panca Budi
  • Ramli S Siburian Universitas Pembangunan Panca Budi

Keywords:

K – Nearest Neighbor, Algoritm, Prediction

Abstract

The rapid development of technology has significantly had an indirect impact on all aspects and dimensions of human life. Online shopping is a form of technological progress. Online shopping is all activities related to online transactions that take place via the internet or other electronic networks. The online shopping process no longer requires face-to-face contact but can be done simply by communicating via the internet. Based on the researcher's preliminary study, at SMK Negeri 1 Tanjung Pura many students spend time shopping online. This online shopping is not only done during break times or after school but is also done during class hours. Based on researchers' observations, students at SMK Negeri 1 Tanjung Pura who like online shopping have an impact on their education. Their study time is reduced, causing their grades to drop. Apart from that, online shopping affects its users, it can cause relational and social problems which have made children rarely socialize with their surroundings, withdraw from social interactions and ultimately make their lives uncontrollable because online shopping takes over their minds. Therefore, through this task, an analysis of the level of online shopping addiction was made using the K-Nearest Neighbor method. The data used is data from students at SMA Negeri 1 Tanjung Pura and the results of this data will be classified using the K-Nearest Neighbor algorithm to find out whether someone is addicted to online shopping based on the level of addiction. The results of the analysis of the level of online shopping addiction in these students, whether they have low addiction or high addiction.

References

Dwynne, Z. C., Aini, D. N., & Pertiwi, T. A. (2023). Cluster Level of Online Game Addiction in Students of the Faculty of Science and Technology and its Correlation with Learning Interest Cluster Tingkat Kecanduan Game Online Pada Mahasiswa Fakultas Sains dan Teknologi dan Korelasinya Terhadap Minat Belajar. 126–132.

Hidayat, A., Mustakim, Fauzi, M. Z., & Syukra, I. (2019). Implementasi Algoritma K-Nearest Neighbor dan Probabilistic Neural Network untuk Analisis Opini Masyarakat Terhadap Toko Online di Indonesia. Seminar Nasional Teknologi Informasi, Komunikasi Dan Industri (SNTIKI) 11, November, 254–261.

Manurung, A., Santoso, H. G., Yustanto, R., Susiani, T., & Afrisawati, A. (2023). Decision Support System Dalam Pemilihan Buah Kelapa Sawit Terbaik Menggunakan Metode Moora. J-Com (Journal of Computer), 3(2), 78–84. https://doi.org/10.33330/j-com.v3i2.2487

Neighbor, K., & Chasanah, D. N. (2022). Klasifikasi Kelayakan Siswa dalam Menentukan Kelas Unggulan Menggunakan Algoritma. III, 51–58.

Panjaitan, D. L., & Hasugian, P. M. (2021). Implementation of K-Nearest Neighbor Algorithm for Classification of Class Placement At Junior High School , Padang Month Issn : 2302-9706. Jurnal Infokum, 10(1), 43–49.

Rachma, C. A. (2022). Implementasi Algoritma K-Nearest Neighbor Dalam Penentuan Klasifikasi Tingkat Kedalaman Kemiskinan Provinsi Jawa Timur.

Rosanensi, K. M., Jayadi, M., Syafitri, D., Studi, P., & Komputer, I. (2023). ANALISIS TINGKAT KECANDUAN GAME ONLINE MENGGUNAKAN METODE CERTAINTY FACTOR DAN ALGORITMA K-NEAREST NEIGHBOR LOMBOK. 7(2), 473–482. https://doi.org/10.52362/jisamar.v7i2.1040

Sebastian, D. (2019). Implementasi Algoritma K-Nearest Neighbor Untuk Melakukan Klasifikasi Produk dari beberapa E-marketplace. Jurnal Teknik Informatika dan Sistem Informasi, 5(1), 51-61. https://journal.maranatha.edu/index.php/jutisi/article/view/1581/1246

Sianturi, F. A., Simangunsong, A., Simanjorang, R. M., & Sijabat, P. I. (2020). Implementasi Algoritma Modified Nearest Neighbourt (M-KNN) Untuk Klasifikasi Buku. Jurnal Media Informatika [Jumin], 1(2), 45–51.

Widiana, S. A., Firdaus, I., Tenda, E., & Ketaren, E. (2023). Sistem Informasi Prediksi Penjualan Produk Thrift Di Toko Manado Menggunakan Algoritma K-Nearest Neighbor (K-Nn). Jurnal TIMES, XII(2), 52–57. http://ejournal.stmik-time.ac.id/index.php/jurnalTIMES/article/view/708%0Ahttps://ejournal.stmik-time.ac.id/index.php/jurnalTIMES/article/download/708/271

Yunus, M., Pratiwi, N. K. A (2023), Prediksi Status Gizi Balita dengan Agoritma KNN di Puskesmas Cakranegara. Jurnal Teknologi Informasi dan Multimedia, 4(4), 222-231. https://journal.sekawan-org.id/index.php/jtim/article/view/328/197

Downloads

Published

2024-06-30

How to Cite

Zulham Sitorus, Alviona Marsya, Desy Ramatika, & Ramli S Siburian. (2024). Analysis of Online Shopping Addiction Level Using the K-nearest Neighbor Algorithm at SMK Negeri 1 Tanjung Pura . Journal of Information Technology, Computer Science and Electrical Engineering, 1(2), 139–148. Retrieved from https://ysmk.org/ejournal/index.php/jitcse/article/view/62