📅 26 June 2024
DOI: 10.62383/algoritma.v2i5.137
Implementasi Algoritma Apriori pada Market Basket Analysis terhadap Data Penjualan Produk Supermarket
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa
Asosiasi Riset Ilmu Matematika dan Sains Indonesia (ARIMSI)
📄 Abstract
Market Basket Analysis (MBA) is an analytical technique used to identify relationships between items in purchasing transactions. This notebook uses retail transaction datasets and the Apriori algorithm to discover hidden associations and patterns that retailers can leverage in optimizing marketing strategies, store layouts, and product recommendations. Through initial data processing, data exploration, and application of the Apriori algorithm, this analysis succeeded in identifying various significant associations between items that are frequently purchased together. The results provide valuable insights for retailers to develop targeted promotions and improve customer shopping experiences, while emphasizing the importance of selecting the right parameters to obtain accurate and relevant results.
🔖 Keywords
#Market Basket Analysis; Association Rule Learning; Apriori Algorithm
ℹ️ Informasi Publikasi
Tanggal Publikasi
26 June 2024
Volume / Nomor / Tahun
Volume 2, Nomor 5, Tahun 2024
📝 HOW TO CITE
Andy Hermawan; Bayu Wicaksono; Tigfhar Ahmadjayadi; Bagas Surya Prakasa; Jasico Dacomoro Aruan, "Implementasi Algoritma Apriori pada Market Basket Analysis terhadap Data Penjualan Produk Supermarket," Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa, vol. 2, no. 5, Jun. 2024.
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