Implementation of The Apriori Algorithm to Determine Purchase Patterns at Kolega Coffee
Implementasi Algoritma Apriori Untuk Menentukan Pola Pembelian Pada Kolega Coffee
DOI:
https://doi.org/10.21070/ups.3825Keywords:
Data Mining, Association Rules, Apriori Algorithm, Coffee Shop, TransactionAbstract
Kolega Coffee is one of the coffee shops that sells a variety of coffee variants and other menus. The sold menus will be recorded in the sales system for the sales report. And the data only serves as sales reports and archives. However, if the data is processed further, it will acquire new information for decision-making in business strategy. The research aims to find menus that are often purchased simultaneously through sales transaction data from January to June 2023 using a priori algorithm. The results of this study resulted in five association rules from 1917 sales transaction data. For example, if someone buys onion rings, they're also likely to buy a mix platter with a 38.33% confidence rate. This study can give advice for business strategies to coffee colleagues for example for promotion of menu packages or other discounts.
Downloads
References
I. Rosmayati, W. Wahyuningsih, E. F. Harahap, and H. S. Hanifah, “Implementasi Data Mining pada Penjualan Kopi Menggunakan Algoritma Apriori,” J. Algoritm., vol. 20, no. 1, pp. 99–107, 2023, doi: 10.33364/algoritma/v.20-1.1259.
R. T. A. Ardani, J. Jupriyadi, S. Styawati, and ..., “Implementasi Data Mining Menggunakan Algoritma Apriori Untuk Memprediksi Merek Parfum Yang Terjual,” J. Ilm. …, pp. 9–15, 2022, [Online]. Available: http://jim.teknokrat.ac.id/index.php/teknologiinformasi/article/view/2324%0Ahttp://jim.teknokrat.ac.id/index.php/teknologiinformasi/article/download/2324/769
F. Amsury, I. Kurniawati, and M. Rizki Fahdia, “Implementasi Association Rules Menentukan Pola Pemilihan Menu Di the Gade Coffee & Gold Menggunakan Algoritma Apriori,” INFOTECH J., vol. 9, no. 1, pp. 279–286, 2023, doi: 10.31949/infotech.v9i1.5357.
Y. Hanafiah, R. Y. Kalaway, and R. M. I. Malo, “IMPLEMENTASI ALGORITMA APRIORI TERHADAP DATA KONSUMEN ( Studi kasus : Aulia Mart ),” vol. 1, no. November, pp. 1–11, 2022.
S. Saefudin and S. DN, “Penerapan Data Mining Dengan Metode Algoritma Apriori Untuk Menentukan Pola Pembelian alat tulis kant,” JSiI (Jurnal Sist. Informasi), vol. 6, no. 2, p. 36, 2019, doi: 10.30656/jsii.v6i2.1587.
E. R. D. Suradjiman, M. Soleh, and M. A. Rahman, “Sistem Rekomendasi Produk Obat pada Apotek Juang Jaya Menggunakan Algoritma Apriori,” J. IPTEK, 2023, [Online]. Available: https://jurnaliptek.iti.ac.id/index.php/jii/article/view/229%0Ahttps://jurnaliptek.iti.ac.id/index.php/jii/article/download/229/102
A. Syauqi, “Pembentukan Association Rule Melalui Implementasi Algoritma a Priori Terhadap Pola Resep Obat Pada Penyakit Dalam,” J. BATIRSI, vol. 6, no. 1, pp. 25–31, 2022.
D. D. O. V. Ade Eviyanti Aisha Hanif, “Pemanfaatan Teknologi Sistem Informasi dalam Mewujudkan Tata Kelola Keuangan Koperasi Dinar Amanta di Era Pandemi Covid-19,” vol. 6, no. 4, pp. 590–594, 2021.
H. Hertyana, A. Desianty, E. Rahmawati, and E. Mufida, “Implementasi Algoritma Apriori dalam Meningkatkan Strategi Penjualan pada Toko Miring,” MEANS (Media Inf. Anal. dan Sist., vol. 6, no. 2, pp. 158–163, 2022, doi: 10.54367/means.v6i2.1524.
R. Takdirillah, “Penerapan Data Mining Menggunakan Algoritma Apriori Terhadap Data Transaksi Sebagai Pendukung Informasi Strategi Penjualan,” Edumatic J. Pendidik. Inform., vol. 4, no. 1, pp. 37–46, 2020, doi: 10.29408/edumatic.v4i1.2081.
M. Surur, H. Saputro, and N. Azizah, “Implementasi Algoritma Apriori Dalam Menentukan Pola Pembelian ( Cap N Chris Café & Resto Jepara ),” J. Inf. Syst. Comput., vol. 2, no. 2, pp. 36–45, 2022.
C. F. Suardi, S. Y. Hasyrif, and S. Sunardi, “Implementasi Algoritma Apriori Untuk Analisis Data Transaksi Penjualan Pada Toko Berbasis Desktop,” J. Tekno Kompak, vol. 17, no. 1, pp. 136–146, 2023, [Online]. Available: https://ejurnal.teknokrat.ac.id/index.php/teknokompak/article/view/2148%0Ahttps://ejurnal.teknokrat.ac.id/index.php/teknokompak/article/download/2148/1122
D. Ariestiany and T. Santoso, “Analisis Pengelolaan Stok Kue Menggunakan Algoritma Apriori Pada Toko Kue Sponji,” Zo. J. Sist. Inf., vol. 4, no. 2, pp. 167–183, 2022, doi: 10.31849/zn.v4i2.11128.
R. P. Aditya, N. Wanti, and W. Sari, “REKOMENDASI PAKET MENU PADA CAFE ABC BERBASIS WEBSITE IMPLEMENTATION OF APRIORI ALGORITHM FOR MENU PACKAGE RECOMMENDATIONS AT CAFE ABC BASED ON WEBSITES,” vol. 11, no. 2, 2023.
D. Sitanggang, N. A. Br S. Muham, S. H. Rangkuti, S. P. Zalukhu, and E. Indra, “Penerapan Data Mining Untuk Rekomendasi Paket Pernikahan Menggunakan Metode Algoritma Apriori,” J. Tek. Inf. dan Komput., vol. 5, no. 1, p. 130, 2022, doi: 10.37600/tekinkom.v5i1.509.
Z. Al Azis et al., “PEMBELIAN PRODUK PADA TOKO MADU MUKTI,” 2022.
R. W. Perdana et al., “IMPLEMENTASI DATA MINING PADA PENJUALAN SEPRAI MENGGUNAKAN Abstrak,” vol. 7, no. 1, pp. 144–154, 2023.
R. A. Saputra, S. Wasiyanti, and R. Nugraha, “Penerapan Algoritma Apriori Untuk Analisa Pola Penempatan Barang Berdasarkan Data Transaksi Penjualan,” Swabumi, vol. 8, no. 2, pp. 160–170, 2020, doi: 10.31294/swabumi.v8i2.9031.
N. S. Setyawati and E. Supratman, “Penerapan Algoritma Apriori Pada Sistem Rekomendasi Barang Di Toko Pondok Vape Palembang,” Bina Darma …, no. 1, pp. 151–158, 2022.
D. Fernando, “PENERAPAN DATA MINING REKOMENDASI BUKU MENGGUNAKAN ALGORITMA APRIORI,” vol. 7, no. 1, pp. 50–56, 2020.
Downloads
Additional Files
Posted
License
Copyright (c) 2024 UMSIDA Preprints Server
This work is licensed under a Creative Commons Attribution 4.0 International License.
