Analysis of Customer Transaction Data Associations Based on The Apriori Algorithm
UD Dian Pertiwi is one of the small and medium enterprises engaged in materials with the main product is building materials. This business experiences large amounts of transactions every day, the data obtained becomes increasingly large, and it will only be limited to a pile of useless data or commo...
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doaj-4fc69a9d88e64a5a8c42ef195e09b3832021-07-03T00:32:10ZengBright PublisherIJIIS: International Journal of Informatics and Information Systems2579-70692020-03-0131232810.47738/ijiis.v3i1.43Analysis of Customer Transaction Data Associations Based on The Apriori AlgorithmTri Astuti0Bella Puspita1Amikom University Purwokerto, IndonesiaAmikom University Purwokerto, IndonesiaUD Dian Pertiwi is one of the small and medium enterprises engaged in materials with the main product is building materials. This business experiences large amounts of transactions every day, the data obtained becomes increasingly large, and it will only be limited to a pile of useless data or commonly called junk. By utilizing a data mining approach apriori algorithm technique, the data can be utilized to support the sales process and achieve a target of UD Dian Pertiwi. Based on research and data mining that has been done using association analysis and apriori algorithms by applying a minimum of support = 1% and a minimum of confidence = 70% resulted in the ten strongest association rules can be used by UD Dian Pertiwi in the process of applying a sales strategy including determining interrelationships, in short, the product has the potential to be purchased at the same time, increasing the amount of product stock and conducting promotions.http://ijiis.org/index.php/IJIIS/article/view/4data miningassociation rulesapriori algorithmminimal supportconfidence. |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Tri Astuti Bella Puspita |
spellingShingle |
Tri Astuti Bella Puspita Analysis of Customer Transaction Data Associations Based on The Apriori Algorithm IJIIS: International Journal of Informatics and Information Systems data mining association rules apriori algorithm minimal support confidence. |
author_facet |
Tri Astuti Bella Puspita |
author_sort |
Tri Astuti |
title |
Analysis of Customer Transaction Data Associations Based on The Apriori Algorithm |
title_short |
Analysis of Customer Transaction Data Associations Based on The Apriori Algorithm |
title_full |
Analysis of Customer Transaction Data Associations Based on The Apriori Algorithm |
title_fullStr |
Analysis of Customer Transaction Data Associations Based on The Apriori Algorithm |
title_full_unstemmed |
Analysis of Customer Transaction Data Associations Based on The Apriori Algorithm |
title_sort |
analysis of customer transaction data associations based on the apriori algorithm |
publisher |
Bright Publisher |
series |
IJIIS: International Journal of Informatics and Information Systems |
issn |
2579-7069 |
publishDate |
2020-03-01 |
description |
UD Dian Pertiwi is one of the small and medium enterprises engaged in materials with the main product is building materials. This business experiences large amounts of transactions every day, the data obtained becomes increasingly large, and it will only be limited to a pile of useless data or commonly called junk. By utilizing a data mining approach apriori algorithm technique, the data can be utilized to support the sales process and achieve a target of UD Dian Pertiwi. Based on research and data mining that has been done using association analysis and apriori algorithms by applying a minimum of support = 1% and a minimum of confidence = 70% resulted in the ten strongest association rules can be used by UD Dian Pertiwi in the process of applying a sales strategy including determining interrelationships, in short, the product has the potential to be purchased at the same time, increasing the amount of product stock and conducting promotions. |
topic |
data mining association rules apriori algorithm minimal support confidence. |
url |
http://ijiis.org/index.php/IJIIS/article/view/4 |
work_keys_str_mv |
AT triastuti analysisofcustomertransactiondataassociationsbasedontheapriorialgorithm AT bellapuspita analysisofcustomertransactiondataassociationsbasedontheapriorialgorithm |
_version_ |
1721321272625856512 |