Application of the Apriori Algorithm in PT XYZ

Authors

  • Cipriano Bruno das Neves Universidade Oriental Timor Lorosa’e (Unital), Dili, Timor Leste
  • Ridwan Institut Teknologi dan Bisnis Dewantara, Bogor, Indonesia

DOI:

https://doi.org/10.38035/ijam.v2i4.651

Keywords:

Apriori, Data Mining, Ordering

Abstract

Competition in the business world, especially in the increasingly difficult printing world, requires developers to find strategies to increase orders for printed products ordered. An increasing number of order data every day can be used to develop marketing strategies if processed correctly. A priori algorithms include the type of association rules in data mining. One of the stages of association analysis that attracts many researchers to produce efficient algorithms is the analysis of high-frequency patterns (frequent pattern mining). The importance of an association can be known by two benchmarks, namely: support and confidence. Support (support value) is the percentage of the combination of these items in the database, while confidence (certainty value) is the strength of the relationship between items in association rules.

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Published

2024-03-24

How to Cite

Neves, C. B. das, & Ridwan. (2024). Application of the Apriori Algorithm in PT XYZ. International Journal of Advanced Multidisciplinary, 2(4), 1103–1109. https://doi.org/10.38035/ijam.v2i4.651

Issue

Vol. 2 No. 4 (2024): International Journal of Advanced Multidisciplinary (January-March 2024)

Section

Articles

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