Shopping Cart Analysis System in Product Layout Management with Apriori Algorithm
Abstract
Coco Mart which is one of the retail network brands engaged in household needs is a company from PT. Bali Pawiwahan (Coco Group). As time goes on, transaction data continues to multiply and cannot be utilized by managerial parties to process transaction data that continues to grow every time. From transaction data, there is information or knowledge that can be extracted. The results of the research conducted, the construction of a shopping basket analysis system to process sales transaction data over the past four years, starting from 2013 with the aim of knowing consumer spending patterns. So that the Shopping Cart Analysis System can be a decisions support in business strategies to regulate the layout of goods and promote product combinations that are often purchased by Coco Mart Jimbaran customers.
Keywords
Data mining; Apriori Algorithm; Shopping Cart; Itemset; Profit
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References
[1] E. Widiati and K. E. Dewi, “Implementasi Association Rule Terhadap Penyusunan Layout Makanan Dan Penentuan Paket Makanan Hemat Di Rm Roso Echo Dengan Algoritma Apriori, Jurnal Ilmiah Komputer dan Informatika ( KOMPUTA ),” vol. 3, no. 2, 2014.
[2] K. K. -Vinay Singh, “Data Mining and Knowledge Management,” Int. Res. J. Eng. Technol., vol. 4, no. 3, pp. 1–281, 2017.
[3] N. Nurdin and D. Astika, “Penerapan Data Mining Untuk Menganalisis Penjualan Barang Dengan Menggunakan Metode Apriori Pada Supermarket Sejahtera Lhokseumawe,” TECHSI - J. Tek. Inform., vol. 7, no. 1, Apr. 2015.
[4] U. Fayyad, G. Piatetsky-Shapiro, and P. Smyth, “Knowledge Discovery and Data Mining: Towards a Unifying Framework.,” Int Conf Knowl. Discov. Data Min., pp. 82–88, 1996.
[5] R. Wijaya, “Penerapan Extraction-Transformation-Loading ( ETL ) Dalam Data Warehouse ( Studi Kasus : Departemen Pertanian ),” vol. 5, pp. 61–75, 2016.
[6] K. Khotimah, “Perancangan Dan Implementasi Data Warehouse Untuk Mendukung Sistem Akademik ( Studi Kasus Pada Stkip Muhammadiyah Kotabumi ),” vol. 02, no. 01, pp. 94–107, 2016.
[7] J. Han, M. Kamber, and J. Pei, Data Mining: Concepts and Techniques. 2012.
[8] Y. Sekip, U. Iv, and Y. Indonesia, “Implementasi Big Data Pada Data Transaksi Tiket Elektronik Bus Rapid Transit ( BRT ),” pp. 370–376, 2017.
[9] H. N. Wulandari, “Pemanfaatan Algoritma Apriori untuk Perancangan Ulang Tata Letak Barang di Toko Busana,” 2014.
[10] D. S. Le Vie, “Understanding Data Flow Diagrams.”, 2014.
[2] K. K. -Vinay Singh, “Data Mining and Knowledge Management,” Int. Res. J. Eng. Technol., vol. 4, no. 3, pp. 1–281, 2017.
[3] N. Nurdin and D. Astika, “Penerapan Data Mining Untuk Menganalisis Penjualan Barang Dengan Menggunakan Metode Apriori Pada Supermarket Sejahtera Lhokseumawe,” TECHSI - J. Tek. Inform., vol. 7, no. 1, Apr. 2015.
[4] U. Fayyad, G. Piatetsky-Shapiro, and P. Smyth, “Knowledge Discovery and Data Mining: Towards a Unifying Framework.,” Int Conf Knowl. Discov. Data Min., pp. 82–88, 1996.
[5] R. Wijaya, “Penerapan Extraction-Transformation-Loading ( ETL ) Dalam Data Warehouse ( Studi Kasus : Departemen Pertanian ),” vol. 5, pp. 61–75, 2016.
[6] K. Khotimah, “Perancangan Dan Implementasi Data Warehouse Untuk Mendukung Sistem Akademik ( Studi Kasus Pada Stkip Muhammadiyah Kotabumi ),” vol. 02, no. 01, pp. 94–107, 2016.
[7] J. Han, M. Kamber, and J. Pei, Data Mining: Concepts and Techniques. 2012.
[8] Y. Sekip, U. Iv, and Y. Indonesia, “Implementasi Big Data Pada Data Transaksi Tiket Elektronik Bus Rapid Transit ( BRT ),” pp. 370–376, 2017.
[9] H. N. Wulandari, “Pemanfaatan Algoritma Apriori untuk Perancangan Ulang Tata Letak Barang di Toko Busana,” 2014.
[10] D. S. Le Vie, “Understanding Data Flow Diagrams.”, 2014.
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