Abstract
Everyday the MDN Building Shop has sales transactions but these transactions are only used as data reporting, MDN Building Stores do not manage sales transaction data and analyze a relationship between building material products purchased by consumers in the future. The purpose of this study is to process sales transaction data from consumer purchases by utilizing the Apriori Algorithm, one of the data mining processing methods. From the Apriori algorithm that will be used, it will find an association rule by finding the minimum value of support and confidence. The final result is that if the minimum support value is 50% and the minimum trust is 90%, then 10 patterns of consumer purchase transactions are obtained with 100% confidence. From the association rules, it was found that the transactions that occurred were the purchase of Knie In Grest, Tee in grest, gelam 10 x 12, thinner bottles, knie grest 3 in, waving aw pipes, speck gloves, 3 mm polywood, and 1 nail in a keris.
Highlights
these transactions are only used as data reporting
analyze a relationship between building material products purchased by consumers in the future
then 10 patterns of consumer purchase transactions are obtained with 100% confidence
Summary
Pertumbuhan ekonomi masyarakat diiringi dengan pertumbuhan bisnis yang semakin banyak di Indonesia memiliki potensi yang sangat besar bagi pasar ritel. Dalam memanfaatkan data tersebut agar tidak hanya berfungsi sebagai arsip saja maka, diperlukan sebuah pengolahan data dengan pemanfaatan teknologi informasi (TI) yang dapat memberikan informasi yang bermanfaat untuk meningkatkan penjualan. Setelah melakukan penerapan data mining yang dimana telah menemukan aturan asosiasi dari 2 parameter dari Algoritma Apriori akan diketahui suatu peristiwa dengan menganalisis hasil yang didapat. Diperlukannya suatu analisis transaksi penjualan obat dengan menggunakan data mining sebagai suatu teknik analisa data yang dapat membantu apotek memperoleh pengetahuan berupa pola-pola pembelian dalam periode tertentu. Dari penelitian diatas membuktikan bahwa data transaksi dapat dijadikan suatu informasi berupa pola sekaligus analisis dari pengolahan data menggunakan Algoritma Apriori. Maka penulis melakukan penelitian yang berjudul “Penerapan Data Mining Untuk Analisis Daftar Pembelian Konsumen Dengan Menggunakan Algoritma Apriori Pada Transaksi Penjualan Toko Bangunan MDN”
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