Elkom: Jurnal Elektronika dan Komputer
Vol. 17 No. 1 (2024): Juli : Jurnal Elektronika dan Komputer

Studi Perbandingan Pola Asosiasi Penjualan Sparepart Menggunakan Algoritma Apriori Di PT Astra International BMW Semarang

Raka Lintang Aditya (Unknown)
Sulastri Sulastri (Unknown)



Article Info

Publish Date
12 Jul 2024

Abstract

All PT Astra International BMW Semarang transactions are recorded in the database but the problem is that the stock management is efficientless so the part stock that buyers are interested is not available. This research aims to conduct a comparative mining results using the association rule with apriori algorithm for year 2021, 2022 and 2023 sales transaction dataset with total of 43.694 records using the Rstudio. Data mining process in each year uses the same parameters for each itemset combination. The best association pattern occurs in 2023 with support value 0.05913841 and confidence value 100%. This can be concluded that the rules formed from each year could be different eventhough using same parameters. The item that always appears in the association rule from 2021 – 2023is Z99000000333 (BMW Engine OIL) which is often purchased with items named “Set fil-oil” so it can be a recommendation for item stocking in the warehouse.

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Journal Info

Abbrev

elkom

Publisher

Subject

Education

Description

Elkom : Jurnal Elektronika dan Komputer merupakan Jurnal yang diterbitkan oleh SEKOLAH TINGGI ELEKTRONIKA DAN KOMPUTER (STEKOM). Jurnal ini terbit 2 kali dalam setahun yaitu pada bulan Juli dan Desember. Misi dari Jurnal ELKOM adalah untuk menyebarluaskan, mengembangkan dan menfasilitasi hasil ...