SALES LEVEL ANALYSIS USING THE ASSOCIATION METHOD WITH THE APRIORI ALGORITHM
The company does not yet know the pattern of consumer purchases because so far, the sales transaction data has not been used correctly and does not have a unique method to determine consumer buying patterns. To overcome the problems on the company, this research was done to reprocess sales transacti...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Kresnamedia Publisher
2022-09-01
|
| Series: | Jurnal Riset Informatika |
| Subjects: | |
| Online Access: | https://ejournal.kresnamediapublisher.com/index.php/jri/article/view/422 |
| _version_ | 1811241779279691776 |
|---|---|
| author | Samuel Samuel Asrul Sani Agus Budiyantara Merliani Ivone Frieyadie Frieyadie |
| author_facet | Samuel Samuel Asrul Sani Agus Budiyantara Merliani Ivone Frieyadie Frieyadie |
| author_sort | Samuel Samuel |
| collection | DOAJ |
| description | The company does not yet know the pattern of consumer purchases because so far, the sales transaction data has not been used correctly and does not have a unique method to determine consumer buying patterns. To overcome the problems on the company, this research was done to reprocess sales transaction data for 2018-2019 using data mining techniques with association methods and apriori algorithms. RapidMiner is a supporting application used to find association rules derived from transaction data. Processed transaction data using the Knowledge Discovery in Database (KDD) approach. Thus, the company can determine consumer habits in buying goods derived from sales transaction data for 2018-2019. The results of this study are that in 2018, nine association rules were obtained, of which the best were CT G-246 ⇒ CT G-250 and CT G-250 ⇒ CT G-246. In 2019, nineteen association rules were obtained, of which the best were PN 0441, SK 0175 ⇒ SK 0530 and SK 0175, SK 0283 ⇒ SK 0530. From the best association rules, the goods in the Coat (imported), Pants, and Skirt categories are categories that are often bought together. |
| first_indexed | 2024-04-12T13:41:21Z |
| format | Article |
| id | doaj.art-9f8d212d243a45dd93173d639e1a17d3 |
| institution | Directory Open Access Journal |
| issn | 2656-1743 2656-1735 |
| language | English |
| last_indexed | 2024-04-12T13:41:21Z |
| publishDate | 2022-09-01 |
| publisher | Kresnamedia Publisher |
| record_format | Article |
| series | Jurnal Riset Informatika |
| spelling | doaj.art-9f8d212d243a45dd93173d639e1a17d32022-12-22T03:30:50ZengKresnamedia PublisherJurnal Riset Informatika2656-17432656-17352022-09-014433134010.34288/jri.v4i4.422422SALES LEVEL ANALYSIS USING THE ASSOCIATION METHOD WITH THE APRIORI ALGORITHMSamuel Samuel0Asrul Sani1Agus Budiyantara2Merliani Ivone3Frieyadie Frieyadie4Sekolah Tinggi Manajemen dan Ilmu Komputer WiduriSTMIK WiduriSekolah Tinggi Manajemen dan Ilmu Komputer WiduriSTISIP WiduriUniversitas Nusa MandiriThe company does not yet know the pattern of consumer purchases because so far, the sales transaction data has not been used correctly and does not have a unique method to determine consumer buying patterns. To overcome the problems on the company, this research was done to reprocess sales transaction data for 2018-2019 using data mining techniques with association methods and apriori algorithms. RapidMiner is a supporting application used to find association rules derived from transaction data. Processed transaction data using the Knowledge Discovery in Database (KDD) approach. Thus, the company can determine consumer habits in buying goods derived from sales transaction data for 2018-2019. The results of this study are that in 2018, nine association rules were obtained, of which the best were CT G-246 ⇒ CT G-250 and CT G-250 ⇒ CT G-246. In 2019, nineteen association rules were obtained, of which the best were PN 0441, SK 0175 ⇒ SK 0530 and SK 0175, SK 0283 ⇒ SK 0530. From the best association rules, the goods in the Coat (imported), Pants, and Skirt categories are categories that are often bought together.https://ejournal.kresnamediapublisher.com/index.php/jri/article/view/422association methodapriori algorithmassociation rulesrapidminer |
| spellingShingle | Samuel Samuel Asrul Sani Agus Budiyantara Merliani Ivone Frieyadie Frieyadie SALES LEVEL ANALYSIS USING THE ASSOCIATION METHOD WITH THE APRIORI ALGORITHM Jurnal Riset Informatika association method apriori algorithm association rules rapidminer |
| title | SALES LEVEL ANALYSIS USING THE ASSOCIATION METHOD WITH THE APRIORI ALGORITHM |
| title_full | SALES LEVEL ANALYSIS USING THE ASSOCIATION METHOD WITH THE APRIORI ALGORITHM |
| title_fullStr | SALES LEVEL ANALYSIS USING THE ASSOCIATION METHOD WITH THE APRIORI ALGORITHM |
| title_full_unstemmed | SALES LEVEL ANALYSIS USING THE ASSOCIATION METHOD WITH THE APRIORI ALGORITHM |
| title_short | SALES LEVEL ANALYSIS USING THE ASSOCIATION METHOD WITH THE APRIORI ALGORITHM |
| title_sort | sales level analysis using the association method with the apriori algorithm |
| topic | association method apriori algorithm association rules rapidminer |
| url | https://ejournal.kresnamediapublisher.com/index.php/jri/article/view/422 |
| work_keys_str_mv | AT samuelsamuel saleslevelanalysisusingtheassociationmethodwiththeapriorialgorithm AT asrulsani saleslevelanalysisusingtheassociationmethodwiththeapriorialgorithm AT agusbudiyantara saleslevelanalysisusingtheassociationmethodwiththeapriorialgorithm AT merlianiivone saleslevelanalysisusingtheassociationmethodwiththeapriorialgorithm AT frieyadiefrieyadie saleslevelanalysisusingtheassociationmethodwiththeapriorialgorithm |