IMPLEMENTATION OF DATA MINING ALGORITHM FP-GROWTH IN MILK SALES IN PT. ASIA JAYA TOGETHER USING ASSOCIATION RULE METHOD

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Tajrin Tajrin
Samuel Samosir
Lilis Suryani Aritonang

Abstract

This study aims to determine the types of dairy products that are most often sold based on weekly sales data. In addition, this study aims to find out what type of milk will be in more stock, and to place milk in one cupboard with several types of milk that are often purchased by consumers. With this aim for time efficiency in making it easier for consumers to take goods, and make the company easier for sure. This research was conducted at PT. Asia Jaya Bersama, Medan City, North Sumatra. The basic method used in this research is the association rule method and its implementation uses the survey method. The algorithm used to simplify the method is the frequent pattern growth (fp-growth) algorithm


 

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How to Cite
Tajrin, T., Samosir, S., & Aritonang, L. S. (2022). IMPLEMENTATION OF DATA MINING ALGORITHM FP-GROWTH IN MILK SALES IN PT. ASIA JAYA TOGETHER USING ASSOCIATION RULE METHOD. INFOKUM, 10(02), 870-879. Retrieved from http://infor.seaninstitute.org/index.php/infokum/article/view/426

References

[1]. E. D. Sikumbang, “Penerapan Data Mining Penjualan Sepatu Menggunakan Metode Algoritma Apriori,” vol. 4, no. 1, pp. 156–161, 2018.
[2]. R. R. Rerung, “Penerapan Data Mining dengan Memanfaatkan Metode Association Rule untuk Promosi Produk,” J. Teknol. Rekayasa, vol. 3, no. 1, p. 89, 2018, doi: 10.31544/jtera.v3.i1.2018.89-98.
[3]. H. E. Simanjuntak and W. Windarto, “Analisa Data Mining Menggunakan Frequent Pattern Growth pada Data Transaksi Penjualan PT Mora Telematika Indonesia untuk Rekomendasi Strategi Pemasaran Produk Internet,” J. Media Inform. Budidarma, vol. 4, pp. 914–923, 2020, doi: 10.30865/mib.v4i4.2300.
[4]. A. Ikhwan and D. Nofriansyah, “Penerapan Data Mining dengan Algoritma Fp-Growth untuk Mendukung Strategi Promosi Pendidikan ( Studi Kasus Kampus STMIK Triguna Dharma ),” 1978.
[5]. A. A. Fajrin, A. Maulana, T. Informatika, U. P. Batam, and J. R. Soeprapto, “PENERAPAN DATA MINING UNTUK ANALISIS POLA PEMBELIAN KONSUMEN DENGAN ALGORITMA FP- GROWTH PADA DATA TRANSAKSI PENJUALAN,” vol. 05, no. 01, pp. 27–36, 2018.
[6]. P. Studi, M. Teknik, U. Ahmad, and D. Yogyakarta, “PENERAPAN ALGORITMA FP - GROWTH UNTUK PENENTUAN POLA PEMBELIAN TRANSAKSI PENJUALAN PADA TOKO KGS RIZKY MOTOR,” vol. 25, no. 1, pp. 20–28, 2020.
[7]. W. N. Setyo, S. Wardhana, J. T. Informatika, F. I. Komputer, and U. M. Buana, “IMPLEMENTASI DATA MINING PADA PENJUALAN PRODUK DI CV CAHAYA SETYA MENGGUNAKAN ALGORITMA FP-GROWTH,” vol. 12, no. 1, pp. 54–63, 2019.
[8]. W. N. Setyo and S. Wardhana, “Implementasi Data Mining Pada Penjualan Produk Di Cv Cahaya Setya Menggunakan Algoritma Fp-Growth,” Petir, vol. 12, no. 1, pp. 54–63, 2019, doi: 10.33322/petir.v12i1.416.