Data Mining Approach to Improve Minimarket Sales using Association Rule Method

Harlinda Harlinda, Ramdan Satra

Abstract


This research aims to provide recommendations for the placement of goods sold by the UMI Faculty of Computer Science mini supermarket. A data mining approach is used to determine the position of sales items between related items. This is done to make it easier for customers to search for items to buy based on the type of item. Another problem is determining the best-selling items and also determining the types of items that will receive promotions. The data mining approach uses association rules with a priori algorithms. Association rule mining is a data analysis technique used to find patterns and relationships in big data. This technique is widely used in business to help optimize marketing and sales strategies. The results of the rule association using an a priori algorithm show that if consumers buy 200 milli of Ultra Milk Slim Chocolate, they also buy 600 milli of LE MINERAL with a support value of 10% and confidence of 60%. This shows that these two items are related when consumers purchase.


Keywords


Sales, Association rule mining, Apriori algorithm

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References


Brilliant, Muhamad, Dwi Handoko, and Sriyanto Sriyanto. 2017. “Implementation of Data Mining Using Association Rules for Transactional Data Analysis.” In 3rd International Conferences on Information Technology and Business (ICITB), , 177–80.

Citra Dewi, Lika, Eka Irawan, and Rizky Khairunnisa Sormin. 2022. “Penerapan Algoritma Apriori Terhadap Data Mining Penjualan Di Alfamart Berastagi.” FATIMAH: Penerapan Teknologi dan Sistem Komputer 1(1): 1–10. https://ejurnal.pdsi.or.id/index.php/fatimah/index.

Hartanto, Wiwin. 2015. “Metode Data Mining Market Basket Analysis Untuk Menentukan Pola Tata Letak Produk Ritel.” In Seminar Nasional Pendidikan Transformasi Dan Tantangan Masa Depan Bangsa,.

Mastuhin, Mastuhin, Nurirwan Saputra, and Sunggito Oyama. 2021. “Implementasi Data Mining Dengan Metode Association Rule Mining Untuk Menentukan Peta Pemasaran.” In Seri Prosiding Seminar Nasional Dinamika Informatika, Yogyakarta: Universitas PGRI Yogyakarta Program Studi Informatika. http://prosiding.senadi.upy.ac.id/index.php/senadi/article/view/202.

Maulidah, Aisyatul, and Fitra A. Bachtiar. 2021. “Penerapan Metode Association Rule Mining Untuk Asosiasi Ulasan Terhadap Aspek Tempat Wisata Jawa Timur Park 3.” Jurnal Teknologi Informasi dan Ilmu Komputer 8(5): 1029.

Ripaii, Ahmad, Sukma Puspitorini, and Reny Wahyuning Astuti. 2022. “Association Rules Mining Untuk Penentuan Promo Pelanggan Pada PT. Indaco Warna Dunia Depo Jambi.” Jurnal Teknik Informatika Kaputama (JTIK) 6(1): 101–7. https://www.jurnal.kaputama.ac.id/index.php/JTIK/article/view/719/524.

Safitri, Pradini Nurul. 2022. “Analisis Strategi Penjualan Produk Menggunakan Association Rule Dengan Algoritma Apriori.” UNIVERSITAS ISLAM INDONESIA.

Saxena, Akash, and Vikram Rajpoot. 2021. “A Comparative Analysis of Association Rule Mining Algorithms.” In IOP Conference Series: Materials Science and Engineering, , 012032.

Shaukat, Kamran, Sana Zaheer, and Iqra Nawaz. 2017. “Association Rule Mining: An Application Perspective.” International Journal of Computer Science and Innovation 2015(1): 29–38.

Sofyan. 2019. “Implementation of Data Mining with Association Rule in Decision Making for Product Purchase Correlation Using the Apriori Algorithm.” Journal of Chemical Information and Modeling 53(9): 1689–99.

Wijaya, Patrick, and Muhammad Siddik. 2022. “Penerapan Association Rule Untuk Menentukan Pola Prilaku Konsumen Dalam Membantu Strategi Penjualan.” Agustus 6(3).

Wulandari, Ratih;, and Ichsani Mursidah. 2019. “Pola Pembelian Produk Berdasarkan Association Rule Data Mining.” In Seminar Nasional Teknologi Informasi Dan Komunikasi STI&K (SeNTIK), , 265–70.

Wulansai, Zunita, and Mukh Taofik Chulkamdi. 2022. “Penerapan Algoritma Apriori Untuk Menentukan Tata Letak Menempatkan Barang Dagangan Toko Mekar Sari Di Blitar Zunita.” Jurnal Generation 6(1): 45–57.




DOI: https://doi.org/10.31294/inf.v12i1.20835

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