Consumer Behavior Analysis using Apriori Algorithm

Abstract
Along with the development of the era, also followed by growth and also the birth of many companies in the field of goods and services, where each company always strives as much as possible to obtain and maintain market share. This can make competition tight, especially for business people, especially those that occur in digital printing companies owned by Abadi Digital Printing, Salatiga. Because this printing company is still a new company, it requires a lot of research on consumer purchasing patterns to increase sales and marketing strategies so as not to be rivaled by other printing that has been longer, the following analysis uses apriori algorithms with RapidMiner tools. By using a support value of 0,025 and confidence of 0,6, the results are that the items often purchased by consumers are standing banner with  x banner. From these results it can be used as a promotional event, deal packages, etc to increase consumer attractiveness.
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How to Cite

Safitri, et al. (2019). Consumer Behavior Analysis using Apriori Algorithm. International Journal of Information Technology and Business (IJITEB), 1(2).

Safitri, Adila; Purnomo, Hindriyanto Dwi, "Consumer Behavior Analysis using Apriori Algorithm," International Journal of Information Technology and Business (IJITEB), vol. 1, no. 2, 2019.

Safitri, Adila; Purnomo, Hindriyanto Dwi. "Consumer Behavior Analysis using Apriori Algorithm." International Journal of Information Technology and Business (IJITEB), vol. 1, no. 2, 2019.

Safitri, Adila; Purnomo, Hindriyanto Dwi. "Consumer Behavior Analysis using Apriori Algorithm." International Journal of Information Technology and Business (IJITEB) 1, no. 2 (2019).

Safitri, et al. (2019) 'Consumer Behavior Analysis using Apriori Algorithm', International Journal of Information Technology and Business (IJITEB), 1(2).

Safitri, Adila; Purnomo, Hindriyanto Dwi. Consumer Behavior Analysis using Apriori Algorithm. International Journal of Information Technology and Business (IJITEB). 2019;1(2).

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