Analysis Of Consumer Purchasing Patterns At Giant Atk Store Using The Apriori Method
Keywords:
Purchasing Patterns, Data Mining, A prioriAbstract
Data on purchases by consumers in storage will continue to grow. So the sales application at the Atk Gyant shop is less effective. Meanwhile, in the sales transaction data, there is valuable information such as knowing a trend or pattern carried out by consumers. Data Mining has several characteristics and functions. The characteristic of data mining which aims to find tendencies in combination patterns is to use the Apriori method. The Apriori method can be applied to analyze purchasing patterns by Atk Gyant store consumers with the results of 10 patterns, namely the highest support value for 1 item is 40%, 2 items is 26% and 3 items is 19%.
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References
Bervan and Evan. 2008. Retail Management. Jakarta: Erlangga Publishers
Indrianto, Nur., and Supomo. 2009.Business Research Methodology for Accounting and Management, First Edition. BPFE. Yogyakarta
Sulistiorini, beautiful, (2017). The Influence of Store Atmosphere on Consumer Purchasing Decisions at Eramart Tenggiri Samarinda. Business Administration E-Journal. 5(2):11-520
Masibbuk, I.,Silcyljeova Moniharapon, & Imelda Wj Ogi. (2019). The Influence Of Product Completeness, Service Quality And Layout On Purchasing Decisions (Case Study At Golden Supermarket In Manado City). EMBA Journal, 7(1), pp. 411-420
Umam, K. and MansurM. (2017), The Influence of Store Location, Store Layout and Store Atmosphere on Consumer Satisfaction in Shopping at the An-nur Kita Cooperative PP An-nur 3 Murah Banyu Bululawang Malang. .E–Management Research Journal, 6(1), pp. 29-44
Finn Lee S, Juan Santana, Data Mining: Forecasting Company Business, Jakarta: PT Elex Media Komputindo, 2010
ME Saputri, "The Effect of Consumer Behavior Toward the Online Purchase of Fashion Products of Zalora Indonesia," Sosiotechnology, vol. 15, no. 2, pp. 291–297, 2016
Salam, A., & Sholik, M. (2018). Implementation of the Apriori Algorithm to Search for Associations of Goods Sold on E-commerceOrderMas.Techno. com,17(2), 158-170
Rodiyansyah, SF (2016). Apriori Algorithm for Shopping Cart Analysis on Sales Transaction Data, Infotech Journal, 36–39
Herman, H. (2017). Analysis of Selection Patterns for Information Systems Science Concentration at STMIK TIME. TIMES Journal, 6(2), 37-43
AWO Gama, IKGD Putra and IPA Bayupati, "Implementation of the Apriori Algorithm to Find Frequent Itemsets in Shopping Carts," Electrical Technology Scientific Magazine, vol. 15, no. 2, 2016
Dennis, et al. Learn Data Mining with RapidMiner. Jakarta: Dennis Aprilla C, 2013
Junianto, E.,& Rizal Rachman, "Application of Apriori and FP-Tree Data Mining Methods in Sales of Educational Media (Case Study: Oisha Smartkids)", Indonesian Journal on Computer and Information Technology (IJCIT), 5(2), pp. 117-125
Batubara, Dinda Nabila, and Agus Perdana Windarto. 2019. "Data Mining Classification Analysis of the Level of Satisfaction of Visitors to the Pematang Siantar Animal Park Using Algorithms." COMIC (National Conference on Information and Computer Technology) 3(1):588–92
Nursikuwagus, A., & Hartono, T. (2016). Implementation of a priori algorithms for web-based sales analysis. Symmetric: Journal of Mechanical Engineering, Electrical and Computer Science, 7(2), 701-706
Santoso, H., Hariyadi, IP, & Prayitno, P. (2016). Data Mining Analyzes Product Purchasing Patterns Using the Apriori Algorithm Method. SEMNASTEKNOMEDIA ONLINE, 4(1), 3-7-19
Auliadaya, SA,et al. (2019), "Analysis Of Product Purchase Patterns At Cimahiruko Store Using Algorithm Methods", Journal of Information Management (JAMIKA), 9(1), pp. 58-69