Bianglala Informatika : Jurnal Komputer dan Informatika Akademi Bina Sarana Informatika Yogyakarta
Vol 8, No 1 (2020): Bianglala Informatika 2020

Analisa Data Mining Terhadap Penjualan Food Dengan Metode Apriori Pada Kopsyahira

Agung Riyanto (STMIK Nusa Mandiri)
Melan Susanti (STMIK Nusa Mandiri)



Article Info

Publish Date
31 Mar 2020

Abstract

Every company engaged in trade must have a strategy to improve service. Some of them regulate the arrangement of goods (display) or make the appearance of a store look attractive and make shopping easier so that consumers are willing to come back to shop. Many transactions every day but are still done manually. So there might be a lot of errors and inaccurate reports. The number of transactions is also only used as a document. It is not possible for many transaction data to be lost or tucked away. Collection of transaction data if left alone for months, then the data will only be meaningless data and will be a limiting factor in improving services. Purchases are often done simultaneously at one time, so there is a queue in the store. In Kopsyahira there were also several obstacles in terms of sales, especially food sales. In this study, researchers will use the Apriori algorithm, the author uses Tanagra's data mining software. The results of this study produce 2 final association rules if using a minimum support of 30% and Confidence of 66%.

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Journal Info

Abbrev

Bianglala

Publisher

Subject

Computer Science & IT

Description

JURNAL BIANGLALA INFORMATIKA telah memiliki ISSN baik versi cetak maupun online. Jurnal ini berisi tentang karya ilmiah hasil penelitian yang bertemakan: Sistem Pakar, Sistem Informasi, Web Programming, Mobile Programming, Games Programming, Data Mining, dan Sistem Penunjang ...