MENENTUKAN POLA PENJUALAN ALAT KESEHATAN MENGGUNAKAN ALGORITMA APRIORI (STUDI KASUS: ALKES JANTRA)

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dc.contributor.authorIasya, Shania
dc.contributor.supervisorBahri, Zaiful
dc.date.accessioned2022-07-25T04:21:32Z
dc.date.available2022-07-25T04:21:32Z
dc.date.issued2022-01
dc.description.abstractThe amount of competition, especially in the medical device industry, requires medical device owners to find a strategy in order to increase sales of medical devices, namely by knowing the sales pattern of medical device products so that owners can implement appropriate steps to increase selling power. Sales data can be used to determine sales patterns of medical devices. Sales data can be processed into information by applying data mining methods with association rule techniques with apriori algorithms. Processing of medical device sales data of 840 transaction data with a minimum support of 8 and a minimum confidence of 20% resulted in 33 association rules. In the lift ratio test, there were 28 association rules with a value of more than 1, meaning that there was a dependency between the antecedent and the consequent so that the rule can be used as a prediction for the emergence of a medical device due to the emergence of other medical devices and can be used as a reference in product recommendations for medical devices.en_US
dc.description.sponsorshipFakultas Matematika dan Ilmu Pengetahuan Alamen_US
dc.identifier.citationPerpustakaanen_US
dc.identifier.issnElfitra
dc.identifier.urihttps://repository.unri.ac.id/handle/123456789/10595
dc.language.isoenen_US
dc.publisherElfitraen_US
dc.subjectApriorien_US
dc.subjectAssociation Ruleen_US
dc.subjectData Miningen_US
dc.subjectMarket Basket Analysisen_US
dc.subjectPHPen_US
dc.titleMENENTUKAN POLA PENJUALAN ALAT KESEHATAN MENGGUNAKAN ALGORITMA APRIORI (STUDI KASUS: ALKES JANTRA)en_US
dc.typeArticleen_US

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