CD Disertasi

Market Basket Analysis Dengan Algoritma Fp-Growth Pada Red Minimarket Lubuk Basung Kabupaten Agam

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Market Basket Analysis (MBA) is a method of finding association rules in data mining that is useful for decision making and also as a recommendation for arranging items on a shelf. This study uses the FP-Growth algorithm which is carried out on the transaction data of Red Minimarket Lubuk Basung, Agam Regency, West Sumatra Province for the period January-December 2021 which has 138397 transactions and 4488 items of different types. The FP-Growth algorithm is used to find association patterns in transaction data. In this study, the association rules were obtained based on the minimum support value of 0.1% and the minimum confidence value of 20%. The result of the item association rules found with the highest confidence value of 55% is the combination of Roti Tawar Sungai Bong Jumbo with Selai Pandan/Srikaya/Strawberry with a support value of 0.24%. The highest association rule support value is the combination of Selai Pandan/Srikaya/Strawberry with Sari Roti Tawar Spesial of 1.6% with a confidence value of 48.95%.

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

1803112969

Penerbit

Pekanbaru : Universitas Riau – FMIPA – STATISTIKA., 2022

Deskripsi Fisik

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Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

1803112969

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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