Pemanfaatan Algoritma Apiori Untuk Merekomendasi Produk Pada PT.Centech Metals Engineering

Authors

  • Husni Lubis Universitas Harapan Medan
  • Rifqi Setiawan Universitas Harapan Medan
  • Edy Rahman Syahputra Universitas Harapan Medan

Keywords:

enter

Abstract

− PT.Centech Metals Engineering is a company that was founded in 2000 engaged in the Butterfly Valve, Ball Valve, Air Control Unit, Ductile Valve, High Pressure Pipe Fitting, Inverted Bucket Steam Trap industry. The company address is at Jl. Personality No. 36, Medan, North Sumatra. As an industrial company, Pt.Centech Metals Engineering has a lot of transaction data and customer data that can be utilized to improve business performance and provide better service to customers. So far, the company does not have an application that is able to identify customer purchasing patterns and recommend suitable products for them. The company only has a POS (Point Of Sale) system such as the cashier available at the company and accounting applications. The right product recommendations can help increase customer satisfaction and strengthen customer loyalty. By recommending the right products to customers, companies can increase sales and expand market share. The application of data mining techniques in product recommendations can also help companies optimize product stock. The results of this research are that the Apriori Algorithm is effectively used to recommend products at PT. Centech Metals Engineering is based on the calculation of association patterns between products that have been purchased by previous customers

 

Keywords: Apriori, Data Mining, PT. Centech Metals Engineering

Downloads

Download data is not yet available.

References

Ginting, A. O. B. Penerapan Data Mining Korelasi Penjualan Spare Part Mobil Dewantara, H., Santosa, P. B., & Setyanto, N. W. (2018). Perancangan Aplikasi Data Mining dengan Algoritma Apriori Untuk Frekuensi Analisis Keranjang Belanja pada Data Transaksi Penjualan (Studi Kasus di Swalayan KPRI Universitas Brawijaya). Jurnal Rekayasa Dan Manajemen Sistem Industri, 1(3), 128019.

Ginting, A. O. B. (2021). Penerapan Data Mining Korelasi Penjualan Spare Part Mobil Menggunakan Metode Algoritma Apriori (Studi Kasus: CV. Citra Kencana Mobil). Journal of Information and Technology, 1(2), 70–77.

Hutahaean, H. D., Sinaga, B., & Rajagukguk, A. A. (2018). Analisa Dan Perancangan Aplikasi Algoritma Apriori Untuk Korelasi Penjualan Produk (Studi Kasus: Apotik Diory Farma). Journal Of Informatic Pelita Nusantara, 1(1).

Saputri, D. O. N. E., & Lestariningsih, E. (2023). Implementasi Data Mining Pada Penjualan Sepatu Menggunakan Algoritma Apriori (Kasus Toko Sepatu 3Stripesid). Kesatria: Jurnal Penerapan Sistem Informasi (Komputer Dan Manajemen), 4(3), 666–677.

Syahril, M., Erwansyah, K., & Yetri, M. (2020). Penerapan Data Mining untuk menentukan pola penjualan peralatan sekolah pada brand wigglo dengan menggunakan algoritma apriori. Jurnal Teknologi Sistem Informasi Dan Sistem Komputer TGD, 3(1), 118–136.

Wijayanti, A. (2019). Analisis Hasil Implementasi Data Mining Menggunakan Algoritma Apriori pada Apotek. Jurnal Edukasi Dan Penelitian Informatika (JEPIN), 3(1).

Yanto, R., & Khoiriah, R. (2019). Implementasi Data Mining dengan Metode Algoritma Apriori dalam Menentukan Pola Pembelian Obat. Creative Information Technology Journal, 2(2), 102–113.

Downloads

Published

2023-11-13

How to Cite

Lubis, H., Setiawan, R., & Syahputra, E. R. (2023). Pemanfaatan Algoritma Apiori Untuk Merekomendasi Produk Pada PT.Centech Metals Engineering. Jurnal Sains Dan Teknologi, 5(2), 525-532. Retrieved from https://ejournal.sisfokomtek.org/index.php/saintek/article/view/1895

Issue

Vol. 5 No. 2 (2023): Jurnal Sains dan Teknologi

Section

Article

License

Copyright (c) 2023 Husni Lubis, Rifqi Setiawan, Edy Rahman Syahputra

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.