HPAI consumer shopping analysis using Apriori algorithm

Findawati, Yulian and Hikmah, I N and Sumarno, Sumarno and Rahmawati, Yunianita (2021) HPAI consumer shopping analysis using Apriori algorithm. The 5th Annual Applied Science and Engineering Conference (AASEC 2020), 1098 (3). 032087.

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Abstract

PT Herba Penawar Alwahida sells a variety of herbal products. The process of buying and selling transactions occur every day, resulting in a pile of data pretty much. However, so far the transaction data has only been used as material to make monthly reports without further use of data these, even though from these data information can be extracted to support marketing. To utilize existing transaction data, the authors make a website-based data mining application. This application will be developed by method association (Association Rule) uses apriori algorithm. So that it can be seen the level of accuracy of this application. With the application of data mining, is expected to help the distributor to get information about which HPAI products are often purchased by consumers simultaneously, so as to improve the product marketing and maintaining process availability of stock of these products to remain.

Item Type:	Article
Subjects:	A General Works > AI Indexes (General) Q Science > Q Science (General)
Divisions:	Faculty of Engineering > School of Computer Engineering
Depositing User:	yuni anita
Date Deposited:	03 Dec 2021 08:14
Last Modified:	04 Dec 2021 02:52
URI:	http://eprints.umsida.ac.id/id/eprint/9021

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