Jurnal Informatika dan Rekayasa Perangkat Lunak
Vol 6, No 1 (2024): Maret

Analisis Asosiasi Data Penjualan Produk Mega Baja Cipondoh Kota Tangerang Menggunakan Algoritma Fp-Growth

Kamelia Faridah (STMIK IKMI Cirebon)
Nining Rahaningsih (STMIK IKMI Cirebon)
Raditya Danar Dana (STMIK IKMI Cirebon)



Article Info

Publish Date
23 May 2024

Abstract

Mega Baja Cipondoh, a construction material store in Tangerang, is experiencing suboptimal sales and revenue decline. This research addresses the issue through Fp-Growth algorithm application in sales data analysis using RapidMiner. With a minimum Support of 0.002, minimum Confidence of 0.8, and lift value of 1, six significant association rules are identified. For instance, 10.4% of transactions involve purchasing both Hollo Galvanis and Pipa Galvanis. Customers buying Hollo Galvanis have a 9.6 times higher chance of also purchasing Pipa Galvanis, achieving a 100% success rate. Implementation of these findings is expected to enhance Mega Baja Cipondoh's sales strategy, optimize sales, and improve customer satisfaction, laying the groundwork for future developments in construction material sales data analysis.

Copyrights © 2024






Journal Info

Abbrev

JINRPL

Publisher

Subject

Computer Science & IT

Description

Journal of Informatics and Software Engineering accepts scientific articles in the focus of Informatics. The scope can be: Software Engineering, Information Systems, Artificial Intelligence, Computer Based Learning, Computer Networking and Data Communication, and ...