ANALISIS ASOSIASI DATA DENGAN ALGORITMA APRIORI UNTUK SISTEM PENDUKUNG KEPUTUSAN PENJUALAN BARANG BERBASIS WEB

WIJHAH ISLAMIKA , NIM. 10651058 (2015) ANALISIS ASOSIASI DATA DENGAN ALGORITMA APRIORI UNTUK SISTEM PENDUKUNG KEPUTUSAN PENJUALAN BARANG BERBASIS WEB. Skripsi thesis, UNIVERSITAS ISLAM NEGERI SUNAN KALIJAGA.

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Abstract

Association analysis is useful to reveal hidden interesting relationships in a large data sets. Revealed relationships can be represented in the form of association rules or sets of items that frequently appear together. Association rules from decision support system of selling goods in a supermarket used to analyze the sales of goods purchased by consumers, and the output of the analysis was to determine what items are purchased and know the inter-relationship between one and other goods purchased by consumers. So the owner of the supermarket can optimize inventory, arrange the placement of goods, and designing marketing campaigns using a discount coupons for combination ofcertain goods. Apriori algorithm is the most famous algorithm to find a high frequency pattern. High frequency pattern is the patterns of items in a database that has a frequency or support above a certain threshold, called the minimum support and used to develop associative rules. To realize this decision support system needed programming language PHP and MySQL as the database server. Based on testing of system, 94% agree with the functional system that has been created and 95.8% agree with the interface and access the system.

Item Type: Thesis (Skripsi)
Additional Information: Pembimbing : Bambang Sugiantoro, M.T.
Subjects: Tehnik Informatika
Depositing User: Miftahul Ulum [IT Staff]
Date Deposited: 30 Jan 2015 13:24
Last Modified: 30 Jan 2015 13:24
URI: http://digilib.uin-suka.ac.id/id/eprint/15440

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