@article{repository48590,
           pages = {70--78},
          volume = {17},
            year = {2024},
          number = {1},
             doi = {https://doi.org/10.15408/jti.v17i1.37966},
         journal = {JTI: Jurnal Teknik Informatika},
           month = {May},
       publisher = {Department of Informatics, Faculty of Science and Technology, UIN Syarif Hidayatullah Jakarta},
           title = {(JTI - S2) - Hasan, Ariyansah [2024-05-20]},
          author = {Hasan, Firman Noor},
             url = {https://journal.uinjkt.ac.id/ti/article/view/37966},
        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".},
            issn = {2549-7901}
}