PENERAPAN METODE ASSOCIATION RULE MENGGUNAKAN ALGORITMA APRIORI UNTUK MENENTUKAN PERSEDIAAN BARANG (STUDI KASUS: TOKO ATK PENGUIN)
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Institusion
Institut Teknologi Perusahaan Listrik Negara
Author
SAKINAH, R. NURUL AZIMATUS
Yosrita, Efy
Hartanti, Dian
Yosrita, Efy
Hartanti, Dian
Subject
Teknik Informatika
Datestamp
2022-09-22 03:39:18
Abstract :
Lack of inventory that is often purchased together by customers is a problem that often occurs in trading countries, so it is necessary to extract information on transaction data that aims to find patterns of association relations between a number of goods. In this study using the association rule method or association rules using a priori algorithms to determine items that are often purchased together by consumers or customers. The results obtained from 12 sales transaction data such as the manual calculation is in the form of a combination of items or office stationery items with the associate value in the form of 25% support value and 75% confidence and the accuracy value obtained is 23%. Information with the most sold products will make it easier for shop owners to anticipate inventory.
Lack of inventory that is often purchased together by customers is a problem that often occurs in trading countries, so it is necessary to extract information on transaction data that aims to find patterns of association relations between a number of goods. In this study using the association rule method or association rules using a priori algorithms to determine items that are often purchased together by consumers or customers. The results obtained from 12 sales transaction data such as the manual calculation is in the form of a combination of items or office stationery items with the associate value in the form of 25% support value and 75% confidence and the accuracy value obtained is 23%. Information with the most sold products will make it easier for shop owners to anticipate inventory.
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