A Data Mining Approach For Product Promotion and Inventory Solution using FP-Growth Algorithm

Abstract

This study aims to find interesting patterns on the database transaction so that it can be used as a recommendation sales promotion and inventory product. Companies have difficulty finding interesting transaction patterns in large databases, so it will be difficult to determine the right product promotions and inventory. To resolve these problems are to use data mining techniques with association rule. In previous studies, most studies adopt Apriori algorithm to analyze the association rules. In this study, the data mining technique used is the association rules algorithm FP-Growth. In the FP-Growth algorithm did generate candidates as in Apriori algorithm and using a development concept Tree in frequent itemset search so that it requires faster than Apriori. Some of the analyzes produced in this study are higher minimum support values and minimum trust used will result in fewer items and association rules. Association rule in this study has a lift ratio value of more than 1.00, meaning that item K and L are actually bought together. The higher the lift ratio produced shows the stronger the association rules are formed. The results of this study are the minimum confidence of 97.63%, the maximum trust is 99.37% and the lift ratio is 1,00013798. These results can be used as recommendations for optimizing product promotions and inventory.

Analysis of Consumer Purchase Patterns on Handphone Accessories Sales Using FP-Growth Algorithm

“…There are several studies related to association rules and FP-Growth algorithms. The similar issue taken this approach for enhancing the sales is done by Hartono and Fitrianah [18]. The study used the FP-Growth algorithm to find interesting patterns in transaction database so that it can be used as recommendation sales promotion and inventory products.…”

Penerapan Data Mining Untuk Pembuatan Paket Promosi Penjualan Menggunakan Kombinasi Fp-Tree Dan Tid-List

“…Promosi penjualan dengan berbagai strategi yang tepat dibutuhkan terutama dalam menghadapi persaingan bisnis yang ketat [5], [6]- [9]. Strategi promosi penjualan yang baik dapat diperoleh dengan mengetahui hubungan antara barang-barang yang terjual, sehingga diketahui apakah penjualan suatu barang mempengaruhi penjualan barang lainnya [10], [11]. Penyusunan strategi paket promosi secara manual akan menemui kesulitan dalam menentukan paket promosi terhadap produk yang tepat karena tidak adanya analisis terhadap data penjualan barang dan ukuran database penjualan yang besar.…”