IMPLEMENTASI ASOSIASI APRIORI UNTUK MENENTUKAN POLA KOMBINASI RESEP OBAT

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dc.contributor.authorRahayu, Siti
dc.contributor.supervisorFitriansyah, Aidil
dc.date.accessioned2022-11-28T08:02:17Z
dc.date.available2022-11-28T08:02:17Z
dc.date.issued2022-07
dc.description.abstractMercy Clinic is one of the health services in Pekanbaru which has a lot of transaction data on patient prescription drugs. Because the number of transactions that occurred everyday causes the accumulation of data. Therefore, the data is better processed to improved sales strategy. The association rule mining method is used to found associative rules or the relationship of certain things between a combination of items, which later aims to found out the pattern of combinations of prescription drugs that often appeared used the apriori algorithm. This system is designed used UML, made the system used the PHP programming language and database. This research was conducted on 1,302 transaction data in April-May 2021 with a minimum support parameter of 7% and a minimum confidence of 20%. This study resulted in four association rules with a combination of items up to 2-itemset.en_US
dc.description.sponsorshipFakultas Matematika dan Ilmu Pengetahuan Alamen_US
dc.identifier.citationPerpustakaanen_US
dc.identifier.otherElfitra
dc.identifier.urihttps://repository.unri.ac.id/handle/123456789/10772
dc.language.isoenen_US
dc.publisherElfitraen_US
dc.subjectApriori Algorithmsen_US
dc.subjectAssociation Rule Mining and Medical Prescriptionen_US
dc.titleIMPLEMENTASI ASOSIASI APRIORI UNTUK MENENTUKAN POLA KOMBINASI RESEP OBATen_US
dc.typeArticleen_US

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