MENENTUKAN STRATEGI PENJUALAN FURNITURE MELALUI POLA PEMBELIAN KONSUMEN MENGGUNAKAN ALGORITMA FP-GROWTH PADA TOKO NUSANTARA ALUMINIUM
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Date
2022-12
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Journal Title
Journal ISSN
Volume Title
Publisher
Elfitra
Abstract
In the current era of globalization, competition in the business sector is getting tougher.
This is because more and more business actors are starting their businesses or
expanding the businesses they manage so that a business entity or store needs to make a
certain sales strategy. To make a strategy, certain information is needed as material for
consideration in making decisions, for example choosing a sales strategy that can utilize
information from a collection of sales transaction data from that store. The purpose of
this study is to obtain information in the form of consumer buying patterns, especially
furniture, find consumer purchasing rules, and obtain sales strategy recommendations
from the rules. There are several stages of this research method, including the data
collection stage; equipment used, and steps to solve it. The initial data used is 2708 from
January 2020 to May 2022. To obtain association rules, this study uses a minimum
support of 10%. and a minimum confidence of 50%. The number of frequent patterns
obtained was 19 and the association rules obtained were 8. From the association rules
obtained, a sales strategy was formed.
Description
Keywords
FP-Growth, Data Mining, Furniture, Purchase Patterns
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