IMPLEMENTASI DATA MINING UNTUK MENENTUKAN POLA PENJUALAN DI RAHAYU MART MENGGUNAKAN ALGORITMA APRIORI
DOI:
https://doi.org/10.69714/vbsxqq63Keywords:
apriori algorithm, consumer purchasing patterns, sales strategyAbstract
The Apriori algorithm is a method used to discover patterns among a set of items. By analyzing all recorded sales transactions, it helps in determining and developing more accurate and targeted promotions. Rahayu Mart faces a challenge in understanding what customers want and need, as well as how they shop. Identifying frequently purchased items by customers can assist in making appropriate business decisions and serve as a consideration for sales strategies. By applying the Apriori algorithm, consumer purchasing patterns and the influence between items can be uncovered, enabling more effective business insights.
References
F. Marisa and D. Purnomo, “Aditya, Marisa, F., & Purnomo, D. (2016),” no. 35, pp. 1–5.
Zulhilmi, Nahar Mardiyantoro, Dimas Prasetyo Utomo, Iman Ahmad Ihsannuddin, and Nulngafan, “Implementasi Data Mining Untuk Menentukan Pola Penjualan Di Armada Computer Menggunakan Algoritma Apriori,” STORAGE J. Ilm. Tek. dan Ilmu Komput., vol. 2, no. 1, pp. 25–31, 2023, doi: 10.55123/storage.v2i1.1749.
A. Mugnia, M. M. Mutoffar, S. T. Teknologi, J. T. Informatika, and S. T. Teknologi, “Implementasi Algoritma Apriori Untuk Sistem Rekomendasi Buku Pada Perpustakaan Digital,” vol. 11, no. 1, 2024.
F. A. Sianturi, T. Informatika, and S. Utara, “PENERAPAN ALGORITMA APRIORI UNTUK PENENTUAN TINGKAT,” vol. 2, no. 1, pp. 50–57, 2018.
M. Badrul, P. Studi, and S. Informasi, “Algoritma asosiasi dengan algoritma apriori untuk analisa data penjualan,” no. 2, pp. 121–129, 2016.
O. Pratama and J. H. Jaman, “PENERAPAN DATA MINING MENGGUNAKAN ALGORITMA APRIORI UNTUK MENGETAHUI KEBIASAAN KONSUMEN DAN PREDIKSI STOK PRODUK ( STUDI KASUS TOKO ELEKTRONIK WK ),” vol. 7, no. 3, pp. 1837–1844, 2023.
P. Studi et al., “PENERAPAN DATA MINING DENGAN METODE ALGORITMA APRIORI UNTUK MENENTUKAN POLA PEMBELIAN IKAN,” vol. 6, no. 2, pp. 110–114, 2019.











