Shopping Behavior At Certain Times And Weeks Using Data Mining Methods Analysis Of Consumer
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Aug 1, 2022
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Computer Science
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Abstract
Many interesting things could be obtained from sales data, sales data can be viewed from various angles, such as sales side, shopping habits of customers: general and members, distributors of goods, shopping time, transactions by type of goods, association of goods and market basket analysis This study analyze buyer habits such as: shopping time, shopping week, type of goods that sells best at a certain time and finds out pattern of association rules for goods sold. The research stages start from collecting raw data, adding new attributes for the purpose of pre-processing to support data mining methods implementation, data transformation, running data mining algorithms and conclusions. The best result obtained is in the afternoon of the first week, if a consumer buys Beverage, probability that consumer buying a snack is 85% (Beverage => Snack, confidence: 85%), the minimum support value in this study is 50%.
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How to Cite
Fabrianto, L., Madhona Faizah, N. ., Nurcahyo, W. . and Tarigan, S. . (2022) “Shopping Behavior At Certain Times And Weeks Using Data Mining Methods Analysis Of Consumer ”, Jurnal Mantik, 6(2), pp. 1946-1955. doi: 10.35335/mantik.v6i2.2684.
References
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[2] A. Mansur, F. Dwi, and J. Sofalina, “Sales Prediction Based on Sales Data Analysis Using the Moving Average Algorithm (Case in hawada refill drinking water),” IJISTECH (International J. Inf. Syst. Technol., vol. 6, no. 1, pp. 127–133, Jun. 2022, doi: 10.30645/IJISTECH.V6I1.220.
[3] J. M. Chae and E. H. Kim, “Sales Pattern and Related Product Attributes of T-shirts,” J. Korean Soc. Cloth. Text., vol. 44, no. 6, pp. 1053–1069, Jul. 2020, doi: 10.5850/JKSCT.2020.44.6.1053.
[4] F. Kurniawan, B. Umayah, J. Hammad, S. M. S. Nugroho, and M. Hariadi, “Market Basket Analysis to Identify Customer Behaviours by Way of Transaction Data,” Knowl. Eng. Data Sci., vol. 1, no. 1, p. 20, Dec. 2017, doi: 10.17977/UM018V1I12018P20-25.
[5] P. Patel, B. Sivaiah, and R. Patel, “Relevance of Frequent Pattern (FP)-Growth-Based Association Rules on Liver Diseases,” Lect. Notes Networks Syst., vol. 431, pp. 665–676, 2022, doi: 10.1007/978-981-19-0901-6_58/COVER.
[6] N. Edward, R. Intan, and A. T. Infra, “Analisis Consumer Behaviour Pada Toko Retail Dengan Metode APRIORI-SD,” J. Infra, vol. 7, no. 2, pp. 185–189, 2019, [Online]. Available: http://publication.petra.ac.id/index.php/teknik-informatika/article/download/8829/7972.
[7] L. Fabrianto, N. M. Faizah, J. H. Prasetyo, B. S. Prakoso, and G. Wiharso, “Aturan Asosiasi Antar Item Terjual pada Data Penjualan Minimarket Milik Komunitas di Hari Besar Tertentu Menggunakan Algoritma Apriori,” J. AKUNTANSI, Ekon. dan Manaj. BISNIS, vol. 9, no. 2, pp. 208–215, Dec. 2021, doi: 10.30871/JAEMB.V9I2.3621.
[8] A. Madan Mirajkar, A. Prafulla Sankpal, P. S. Koli, R. A. Patil, A. R. Pradnyavant, and A. Professor, “Data Mining Based Store Layout Architecture for Supermarket IRJET Journal Data Mining Based Store Layout Architecture for Supermarket,” Int. Res. J. Eng. Technol., 2016, Accessed: Jul. 24, 2022. [Online]. Available: www.irjet.net.
[9] M. Kaur and S. Kang, “Market Basket Analysis: Identify the Changing Trends of Market Data Using Association Rule Mining,” Procedia Comput. Sci., vol. 85, pp. 78–85, 2016, doi: 10.1016/J.PROCS.2016.05.180.
[10] R. R. Shelke HVPM COET, A. R. V Dharaskar Former Director, and V. M. Thakare, “Data Mining For Supermarket Sale Analysis Using Association Rule,” Int. J. Trend Sci. Res. Dev., vol. 1, no. 4, pp. 2456–6470, Accessed: Jul. 24, 2022. [Online]. Available: www.ijtsrd.com.
[11] A. St Sujana, “PARADIGMA BARU DALAM MANAJEMEN RETAIL MODERN,” Accessed: Jul. 24, 2022. [Online]. Available: www.grahailmu.com.
[12] “Beranda | Badan Pengembangan dan Pembinaan Bahasa - Kemendikbudristek.” https://badanbahasa.kemdikbud.go.id/ (accessed Jul. 24, 2022).
[13] K. N. Wijaya, “Analisa Pola Frekuensi Keranjang Belanja Dengan Algoritma Apriori (Studi kasus: Minimarket Adi),” Annu. Res. Semin., vol. 3, no. 1, pp. 9–12, 2017, [Online]. Available: http://seminar.ilkom.unsri.ac.id/index.php/ars/article/view/1707.
[14] H. A. Irianto, Statistik Konsep Dasar; Aplikasi, dan Pengembangannya. Kencana, 2016.
[15] “Data Mining Menggunakan Android, Weka, dan SPSS - Indah Werdiningsih, S.Si., M.Kom., Barry Nuqoba, S.Si., M.Kom., Muhammadun, S.Si., M.Si. - Google Books.” https://books.google.co.id/books?id=xEwCEAAAQBAJ&pg=PA182&lpg=PA182&dq=Data+Mining+Menggunakan+Android,+Weka,+dan+SPSS&source=bl&ots=z3T_p2D1jO&sig=ACfU3U3ttL8RwIh50mvxS1o3G4laXf8i0w&hl=en&sa=X&ved=2ahUKEwjjzMvPwJD5AhVZT2wGHZ12AWsQ6AF6BAgEEAM#v=onepage&q=Data Mining Menggunakan Android%2C Weka%2C dan SPSS&f=false (accessed Jul. 24, 2022).
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