Hasan, Firman Noor (2024) (JTI - S3) - Hasan, Ariyansah [2024-04-30]. JTI: Jurnal Teknik Informatika, 17 (1). pp. 70-78. ISSN 2549-7901
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Abstract
The existence of adequate transaction data turns out to have a similar sales transaction pattern for MSMEs, so it would be a shame if it were left like that. Moreover, this data can be used to increase efficiency in MSMEs in the culinary sector, one of which is as a recommendation for small gifts. The study uses the Association Rules technique, whereas fp-growth is used to obtain a combination of elements. The goal is to facilitate MSMEs' ability to suggest small gifts to clients. The fp-growth algorithm calculation was implemented to process 2043 data originating from transaction data in MSMEs, with the specified minimum support value being 15%, while the minimum confidence value determined was 55%. The results of the trial obtained the two best rules, namely, "If a customer buys a list of small gifts from Balado Sanjai Chips, then the customer will buy Jangek Crackers" and "If a customer buys Jangek Crackers, then the customer will buy Sanjai Balado Chips".
Item Type: | Article |
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Subjects: | T Technology > T Technology (General) |
Divisions: | Fakultas Teknik > Teknik Informatika |
Depositing User: | Mr Firman Noor Hasan |
Date Deposited: | 03 Jun 2024 02:19 |
Last Modified: | 03 Jun 2024 02:19 |
URI: | http://repository.uhamka.ac.id/id/eprint/34394 |
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