Perancangan Program Aplikasi Market Basket Analysis untuk Mendukung Persediaan Barang dengan Metode Fuzzy C-Covering

Authors

  • Zahedi Zahedi Bina Nusantara University
  • Charies Chandra Bina Nusantara University

DOI:

https://doi.org/10.21512/comtech.v3i1.2410

Keywords:

market basket analysis, buying habits, fuzzy c-covering, fuzzy sets data mining

Abstract

Any difficulty in analyzing sales transaction data is often faced by a company due to the huge number of sales transactions and the limited tools to process the data. It results in losses for the company since it is difficult to estimate the goods supply for subsequent sales. In this paper a data mining application is designed to analyze sales data. Market Basket Analysis is a data mining application that aims to determine most purchased or used products at once by the consumer. The process of Market Basket Analysis is to analyze consumer buying habits by finding associations among products purchased by different customers. The method used in Market Basket Analysis is a method of Fuzzy c-Covering, which is one method to classify the elements of a universal set into partitions of fuzzy sets. This study found that the value of support and confidence is part of the Market Basket Analysis, computed using the Fuzzy c-Covering. The higher the limit, the more selected the analytical results obtained are.

Dimensions

Plum Analytics

References

Albion Research Ltd. (2007). Market Basket Analysis. Diakses November 2009 dari http://www.albionresearch.com/data_mining/market_basket.php.

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Klir, George J. & Yuan, Bo. (2001). Fuzzy Sets and Fuzzy Logic: Theory and Applications. New Delhi: Prentice Hall.

Megaputer. (2007). Market Basket Analysis. Diakses Desember 2009 dari http://www.megaputer.com/company/cases/cambridge_mba.php3

Ter Meulen, Alice. (2006) Logic and Natural Language. Diakses Desember 2009 dari http://en.wikipedia.org/wiki/Naturallanguage

Ulmer, David. (2002). Mining an online auctions data warehouse. The Mid-Atlantic Student Workshop on Programming Languages and Systems. Pace University, New York.

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Published

2012-06-01

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