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Implementasi data Mining Algoritma Apriori pada Sistem Persediaan Alat-alat Kesehatan

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Extracting data or an effort to retrieve valuable knowladge and information in a large database is called data mining or Knowledge Discovery in Database or usually shortened as KDD . One of the most popular algorithm in data mining technic is Apriori Algorithm, while the discovery of “relational combination pattertn among itemset used Assosiation Rules”. Data mining has been implemented into the various fields like : business or trade, education and telecommunication. In bussiness for instance, the implementation result of data mining use ‘algorithm Apriori
which can give a hand to help the Businessmen make decision on supplies. For example, the necessity of supplies system in a drugstore as one of the mecical stuff supplier, and to determine which product as the priority should be supplied to anticipate out of stock of supplies availability in the store, as the results will also affect to the consumer service and daily income. Medical tools are essential unit should be supplied and being and essential
factor which will impact to the consumer trust to a hospital or another medical service. That is why the availability of medical tools in drugstores is completely needed to support the succes of distribution to the consumers, so the activity of medical service to consumers run thoroughly.
In this case, data mining is seen as able to buildt intelligent business environment as solution for competing increated compitition among the drugstores in future.

Keywords : Data Mining, Association Rules, Apriori Algorithm, Medical tools.

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Availability

Detail Information

Series Title

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Call Number

Karil -018

Publisher

: STIMIK ERESHA., 2013

Collation

13 hal

Language

Indonesia

ISBN/ISSN

2339-210X

Classification

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Content Type

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Media Type

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Carrier Type

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Edition

Vol.I No.I, Oktober 2013

Subject(s)

Data mining
Aturan Asosiasi
Algoritma Apriori
Alat-alat Kesehatan

Specific Detail Info

Majalah Ilmiah Informasi dan Teknologi Ilmiah (INTI), Vol.I No.I, Oktober 2013

Statement of Responsibility

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