CD Skripsi

Prediksi Penjualan Laptop Menggunakan Metode Algoritma C4.5

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Sales are activities that need attention within the enterprise, since the end of a production is the sale of goods. The availability of stock of goods depends on the results of sales, the higher the sales figures, the greater the profit obtained by the company. In order to maintain sales stability, several companies use data mining to help solve production problems. This study aims to process transaction data in the Computer Square store in order to predict future sales using the C4.5 algorithm method. The C4.5 algorithm is an algorithm that has the function of predicting an event in the future using previous data. Predictions are very profitable for companies to maintain stock stability to meet sales products that sell well and are not selling well in the market. Using decision trees, the C4.5 algorithm is able to predict research results with high accuracy. This study presents 23 rules with the conclusion that 11 rules state that they are not in demand and 12 rules state that they are selling well. Data analysis using this algorithm has an accuracy rate of up to 79.16%.
Keywords: C4.5 Algorithm, Decision Tree, Prediction, Sales

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

1603123552

Penerbit

Pekanbaru : Universitas Riau –FMIPA–SISTEM INFORMASI., 2022

Deskripsi Fisik

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Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

1603123552

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

SISTEM INFORMASI

Info Detail Spesifik

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Pernyataan Tanggungjawab

nadya

Versi lain/terkait

Lampiran Berkas

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