PENERAPAN DATA MINING UNTUK MEMPREDIKSI PENJUALAN PRODUK BENIH TERLARIS MENGGUNAKAN METODE NAÏVE BAYES

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dc.contributor.authorBangun, Nurul Aini Br
dc.contributor.supervisorBahri, Zaiful
dc.date.accessioned2023-05-05T03:55:41Z
dc.date.available2023-05-05T03:55:41Z
dc.date.issued2023-02
dc.description.abstractPT. Citra Seeds, Karo Asia Regency, is a company that sells horticultural plant seeds. Seed buyers come from various regions in Karo Regency, because farming activities are the majority of the people's work there. PT Benih Citra Asia does not have a sales strategy so there is often a problem of out of stock which of course if no solution is found it can cause a decrease in the sales chart. In addition, sales data is also increasing, this can be a solution in overcoming the problems faced. Therefore, a data mining process was carried out using the Naïve Bayes method on the sales data of PT. Asian Citra Seeds. The initial data obtained were 507 data, after cleaning the data produced 484 data. From the 484 data, the preprocessing and implementation stages of Naïve Bayes were carried out. Initial accuracy obtained in this study is 52,58%. To improve research accuracy, K-fold Cross Validation was used, with the highest accuracy value being in the 2nd iteration with an accuracy value of 72.51%, 80.49% precision and 89.19% recall. The best-selling product results obtained from this research are Natavi productsen_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/123456789/10990
dc.language.isoenen_US
dc.publisherElfitraen_US
dc.subjectSeeden_US
dc.subjectData Miningen_US
dc.subjectPredictionen_US
dc.subjectNaïve Bayesen_US
dc.titlePENERAPAN DATA MINING UNTUK MEMPREDIKSI PENJUALAN PRODUK BENIH TERLARIS MENGGUNAKAN METODE NAÏVE BAYESen_US
dc.typeArticleen_US

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