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All Journal International Journal of Data Science, Engineering, and Analytics (IJDASEA)
Susy Rahmawati
UPN "Veteran" Jawa Timur
Computer Science & IT Decision Sciences, Operations Research & Management

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Implementation of Data Mining in Shopping Cart Analysis using the Apriori Algorithm Susy Rahmawati; Miftahul Nuril Silviyah; Nur Syifa’ul Husna
Internasional Journal of Data Science, Engineering, and Anaylitics Vol. 1 No. 1 (2021): International Journal of Data Science, Engineering, and Analytics Vol 1, No 1,
Publisher : International Journal of Data Science, Engineering, and Analytics

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (572.196 KB) | DOI: 10.33005/ijdasea.v1i1.5

Abstract

Market basket analysis is one of the techniques of knowledge mining used in a broad dataset or database to find a collection of items that are interwoven. Generally used in a sale, the most relevant shopping cart data is used. This methodology has been widely applied in different multinational or foreign industries and is very useful in consumer buying preferences. Technology advances change business trends dramatically, shifting customer demands require increased surgical accuracy of business. In this research, the writer wants to analyze the shopping cart using apriori algorithm, with a dataset from the Kaggle web. Using anaconda software features with the Python programming language is expected to create knowledge overwriting consumer buying patterns. In conclusion, this pattern can be used to support industry in managing its company activities.
Co-Authors Miftahul Nuril Silviyah Nur Syifa’ul Husna