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Journal : The Indonesian Journal of Computer Science

Implementasi Association Rule Untuk Rekomendasi Strategi Up-Selling dan Cross-Selling Produk Menggunakan FP-Growth Nabiilah, Nabiilah; M. Afdal; Novita, Rice; Mustakim
The Indonesian Journal of Computer Science Vol. 13 No. 3 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i3.4025

Abstract

BC 4 HNI Pekanbaru is a subsidiary of PT. HNI-HPAI Indonesia offers a diverse range of items for sale. Insufficiently effective promotions, despite high transaction volumes, can result in certain items being less recognized and thus impractical. The purpose of employing the FP-Growth algorithm in data mining is to uncover product association patterns and produce rules for sales tactics using the CRM approach. Implementing CRM strategies that incorporate cross-selling and up-selling techniques can enhance sales. Cross-selling involves offering additional products or services connected to the items purchased, while up-selling involves encouraging customers to buy higher-value goods than initially intended, boosting sales of more expensive items. Among the 20 results obtained from analyzing transaction data from July 2023 to December 2023 using FP-Growth, only the rules with a minimum support value of 5% and a minimum confidence of 70% are considered for cross-selling strategies. Additionally, the rules with a minimum support value of 5% and a minimum confidence of 10% are considered for up-selling.