đ
23 May 2024
DOI: 10.36499/jinrpl.v6i1.10221
Analisis Asosiasi Data Penjualan Produk Mega Baja Cipondoh Kota Tangerang Menggunakan Algoritma Fp-Growth
Jurnal Informatika dan Rekayasa Perangkat Lunak
Universitas Wahid Hasyim
đ 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.
đ Keywords
#Sales Optimization; Fp-Growth Algorithm; Sales Data Analysis; Product Association; Sales Strategy
âšī¸ Informasi Publikasi
Tanggal Publikasi
23 May 2024
Volume / Nomor / Tahun
Volume 6, Nomor 1, Tahun 2024
đ HOW TO CITE
Faridah, Kamelia; Rahaningsih, Nining; Dana, Raditya Danar, "Analisis Asosiasi Data Penjualan Produk Mega Baja Cipondoh Kota Tangerang Menggunakan Algoritma Fp-Growth," Jurnal Informatika dan Rekayasa Perangkat Lunak, vol. 6, no. 1, May. 2024.
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