Similarity-AF-Market Basket Analysis to Identify Stock Handling Patterns and Item Arrangement Patterns Using Apriori Algorithms

Sunardi, Sunardi and Fadlil, Abdul and Yudha Prawira, Tresna Similarity-AF-Market Basket Analysis to Identify Stock Handling Patterns and Item Arrangement Patterns Using Apriori Algorithms.

Text Similarity-AF-Market Basket Analysis to Identify Stock Handling Patterns and Item.pdf Download (1MB)

Abstract

The process of managing the pattern of handling stock of goods and the pattern of arranging goods on store
shelves requires an identification process by utilizing data from sales transaction results. Market basket analysis of
sales transaction data using Apriori Algorithm stages produces an information in the form of association rules with
a minimum support value of 50% and a minimum confidence of 60%. It can be a reference in the arrangement of
items on store shelves by referring to a combination of items that are often bought by consumers simultaneously. In
addition, the stock inventory pattern can take advantage of the results of determining the high frequency value in
the combination pattern 1 - itemset C1 with a minimum support value of 50% which is compared with the initial
inventory.

Item Type:	Artikel Umum
Subjects:	T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General)
Divisi / Prodi:	Master (Magister) > Master of Technology Informatica (Magister Teknologi Informatika)
Depositing User:	Drs. Abdul Fadlil, M.T., Ph.D.
Date Deposited:	22 Aug 2022 01:21
Last Modified:	22 Aug 2022 01:28
URI:	http://eprints.uad.ac.id/id/eprint/36376

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