Journal Of Information And Technology Unimor (JITU)
Vol 1 No 2 (2021): Journal of Information and Technology Unimor (JITU)

Penerapan Data Mining Korelasi Penjualan Spare Part Mobil Menggunakan Metode Algoritma Apriori (Studi Kasus: CV. Citra Kencana Mobil)

Amenta Ovilianda Br Ginting (STMIK KAPUTAMA)



Article Info

Publish Date
24 Aug 2021

Abstract

By utilizing customer data that has been stored in the database, the management can find out how the current sales system is less efficient, therefore a system is needed to process information data more quickly and accurately in increasing sales of car spare parts using the Data Mining application. The Apriori Algorithm method that works by searching for and finding associated patterns among the products being marketed, so that later it can help companies improve the associated items. And with the sales transaction data, the company can know better how they should increase the spare part stock in the company. From the results of testing the sale of car spare parts with 589 data, it was found that 81 rules were formed and the highest Best Rule was obtained and a minimum support value of 1% and a confidence value of 11% If the type of car is Avanza / Xenia and the brand is Toyota, the spare parts used are filters. Air. With supporting spare parts in the database of 1% and certainty of spare parts of 11.

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Journal Info

Abbrev

JITU

Publisher

Subject

Computer Science & IT

Description

Journal of information and Technology Unimor ( JITU) provides a forum for publishing the original research articles from contributors related to Big Data Research, Web Science, network and infrastructure, and computing algorithms. The scope of JITU starting from Volume 1 (2021) is as follows: ...