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(JTI - S2) - Hasan, Ariyansah [2024-05-20]
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".
Department of Informatics, Faculty of Science and Technology, UIN Syarif Hidayatullah Jakarta
(JTI - S2) - Hasan, Ariyansah [2024-05-20] (Text)
Bukti Korespondensi - Review 37966 v.1 - Viva.pdf
Bukti Korespondensi - Review 37966 - JM.pdf
Bukti Korespondensi - Pernyataan Authors Jurnal JTI.pdf
Bukti Korespondensi - ScreenShot (Review).pdf
Bukti Korespondensi - ScreenShot (Submission).pdf
Bukti Korespondensi - Email (Editor Decision).pdf
HTML Summary of #48590 (JTI - S2) - Hasan, Ariyansah [2024-05-20]
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