CD Skripsi

Implementasi Data Mining Pada Pembelian Produk Kafe Dengan Algoritma Eclat

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Along with the time changes, competition in the business world is getting tougher.
Following the advancements in information technology, business men are
competing to attract customers by fulfilling customer’s desires and market
demands that keeps getting higher.. One of the ways to meet market demands is by
observing the market situation and what satisfy the customer in buying a product.
Sales transaction data processing can be done to observe the customer's wants
and desires. This strategy can be used to analyze customer’s purchasing patterns
and make packed menu recommendations based on these patterns so that they are
compatible with customer’s desires. Sales transaction data is processed by data
mining method with association rule technique using Eclat algorithm. Data
processing of the sales transaction data as many as 743 data with a minimum
item/menu combination of 1 itemset and a maximum of 4 itemset resulted in a
total of 200 rules. In addition to generating rules, this research also produces
packed menu recommendations according to what customer wishes. Data
processing is done using R programming language.
Keywords: Association Rules, Café, Data mining, Eclat, Market Basket Analysis,
R.

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

03 05.121 (0023)

Penerbit

Pekanbaru : Universitas Riau - FMIPA - Sistem Informasi., 2021

Deskripsi Fisik

xii, 55 hlm.: ill.: 29 cm

Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

03 05.121 (0023)

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

ELFITRA

Versi lain/terkait

Lampiran Berkas

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