Penentuan Aturan Asosiasi Pola Pembelian Pada Minimarket Dengan Algoritma Apriori


  • Agnes Novianti * Mail Universitas Putera Batam, Indonesia
  • Erlin Elisa Universitas Putera Batam, Batam, Indonesia
  • (*) Corresponding Author
Keywords: Data Mining; Association Rules; Apriori Algorithm

Abstract

Data mining is a technique for producing information from a data warehouse into new knowledge. Information is very important and useful to achieve a goal, therefore many people who use information, as well as those carried out in sales businesses such as 212 Mart. 212 Mart is located with a residential complex of residents, of course, will affect the level of sales every day, this causes data storage is increasingly growing, besides that the laying of goods is also not following consumer behavior. The association rule analysis with apriori algorithm is the right method to find the association pattern based on consumer shopping patterns so that it can be known the goods purchased at the same time. The results of this study found the highest support and confidence values ​​are Eggs and Noodles, with a support value of 40% and a confidence value of 85.71%.

Downloads

Download data is not yet available.

References

E. Elisa, “Market Basket Analysis Pada Mini Market Ayu Dengan Algoritma Apriori Jurnal Edik Informatika,” J. Edik Inform., vol. 4, pp. 29–38, 2017.

A. Bala, M. Z. Shuaibu, Z. K. Lawal, and R. Y. Zakari, “Performance Analysis of Apriori and FP-Growth Algorithms,” Int. J. Adv. Trends Comput. Sci. Eng., pp. 279–293, 2016.

A. A. Putra, H. Haryanto, and E. Dolphina, “Implementasi Metode Association Rule Mining Dengan Algoritma Apriori Untuk Rekomendasi Promo Barang,” CSRID J., vol. 10, no. 2, pp. 93–103, 2018.

M. Fauzy, K. R. S. W, and I. Asror, “Penerapan Metode Association Rule Menggunakan Algoritma Apriori Pada Simulasi Prediksi Hujan Wilayah Kota Bandung,” J. Ilm. Teknol. Inf. Terap., vol. 2, no. 2, pp. 221–227, 2016.

R. Gunawan and K. Mustofa, “Pencarian Aturan Asosiasi Semantic Web Untuk Obat Tradisional Indonesia,” JNTETI, vol. 5, no. 3, pp. 192–200, 2016.

A. Valerian and L. Hakim, “Implementasi Algoritma Apriori Untuk Prediksi Stok Peralatan Tulis Pada Toko XYZ,” J. Ilm. Teknol. Inf. Terap., vol. 5, no. 1, pp. 18–22, 2018.

Mariani, “Implementasi Algoritma Apriori Pada Persediaan Barang Minuman Larutan Cap Kaki Tiga (Studi Kasus: PT Adyajati Lestari),” Build. Informatics, Technol. Sci., vol. 1, no. 1, pp. 7–27, 2019.

D. Anggraini, Mujib, and N. W. Putra, “Aplikasi Logika Fuzzy Dalam Teori Permainan Untuk Menentukan Strategi Pemasaran,” pp. 81–87, 2017.

A. A. T. Susilo, “Penerapan Algoritma Apriori pada Pengolahan Data Transaksi Penjualan di Minimarket Priyo Kota LubukLinggau,” JTKSI, vol. 1, no. 3, pp. 39–46, 2018.


Bila bermanfaat silahkan share artikel ini

Berikan Komentar Anda terhadap artikel Penentuan Aturan Asosiasi Pola Pembelian Pada Minimarket Dengan Algoritma Apriori

Dimensions Badge
Article History
Submitted: 2020-06-09
Published: 2020-06-30
Abstract View: 794 times
PDF Download: 902 times
How to Cite
Novianti, A., & Elisa, E. (2020). Penentuan Aturan Asosiasi Pola Pembelian Pada Minimarket Dengan Algoritma Apriori. Building of Informatics, Technology and Science (BITS), 2(1), 64-70. https://doi.org/10.47065/bits.v2i1.300
Section
Articles