CD Skripsi

Penerapan Data Mining Untuk Memprediksi Penjualan Produk Benih Terlaris Menggunakan Metode Naïve Bayes (Studi Kasus : Pt. Benih Citra Asia Kabupaten Karo)

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ABSTRACK PT. 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 products.
Keywords : Seed, Data Mining, Prediction, Naïve Bayes

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

1803113651

Penerbit

Pekanbaru : Universitas Riau – FMIPA – Sistem Informasi., 2023

Deskripsi Fisik

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Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

1803113651

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

SISTEM INFORMASI

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Pernyataan Tanggungjawab

TIAR

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