WAHYU NUGRAHA, RIO (2023) IMPLEMENTATION OF APRIORI ALGORITHM FOR ANALYSIS OF TRANSACTION DATA IN SALES SYSTEMS. ["eprint_fieldopt_thesis_type_tugasakhir" not defined] thesis, University of Technology Yogyakarta.
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Abstract
ABSTRACT Many store business owners are currently still placing goods on shelves based on the classification of goods that originate from the stall owner's thoughts. This is still not in line if you look at the tendency of customers' shopping habits which usually buy goods with a relationship pattern of goods that are close together and purchased simultaneously. The pattern of placing goods on a shelf at a kiosk can be taken from the goods sales transaction data, but many shops have not used this transaction data to be processed by marketing consultants into a business strategy that can increase their business profits by placing goods on shelves more optimally. . It is necessary to have a sales system to process data mining with the a priori method for determining frequently bought items. The Apriori method can be used to determine Frequently Bought Items that are run on a set of data. This system was built using the programming language PHP and MySQL as database storage media. The system development method used is the waterfall method. The conclusion of this study is that the Apriori Method can be used to solve data problems predicting customer interest and can help develop marketing strategies for placing the most frequently purchased items by customers. Keywords: A priori, Data mining, Sales, Web.
| Item Type: | Thesis (["eprint_fieldopt_thesis_type_tugasakhir" not defined]) |
|---|---|
| Subjects: | T Technology > T Technology (General) |
| Divisions: | Fakultas Sains Dan Teknologi > S1 Informatika |
| Depositing User: | Kaprodi S1 Informatika UTY |
| Date Deposited: | 30 May 2023 01:27 |
| Last Modified: | 30 May 2023 01:27 |
| URI: | http://eprints.uty.ac.id/id/eprint/13098 |
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