CD Skripsi

Analisis Pola Pembelian Produk Perlengkapan Bayi Menggunakan Algoritma Fp-Growth

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Sales transaction data is often only considered as an archive without any attempt to dig into the data. Extracting the data is done by using data mining to obtain the information contained in the data. The purpose of this study is to analyze the purchasing patterns of baby gear products using the FP-Growth algorithm. Research conducted on 937 of transaction data in January 2019 until June 2019 with the minimum support 1% and minimum confidence of 90% generates 11 rules. The results of the rules that can provide knowledge for the d'Baby Shop in determining the recommendations of the laying of the goods in the same area.
Keywords : FP-Growth Algorithm, Data Mining, Baby Products
Sales transaction data is often only considered as an archive without any attempt to dig into the data. Extracting the data is done by using data mining to obtain the information contained in the data. The purpose of this study is to analyze the purchasing patterns of baby gear products using the FP-Growth algorithm. Research conducted on 937 of transaction data in January 2019 until June 2019 with the minimum support 1% and minimum confidence of 90% generates 11 rules. The results of the rules that can provide knowledge for the d'Baby Shop in determining the recommendations of the laying of the goods in the same area.
Keywords : FP-Growth Algorithm, Data Mining, Baby Product

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

03 05.120 (0006)

Penerbit

Pekanbaru : Universitas Riau - FMIPA - Sistem Informasi., 2020

Deskripsi Fisik

xiv, 76 hlm.: ill.: 29 cm

Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

03 05.120 (0006)

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

-

Subjek

SISTEM INFORMASI

Info Detail Spesifik

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Pernyataan Tanggungjawab

ELFITRA

Versi lain/terkait

Lampiran Berkas

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