PENGGUNAAN ALGORITMA FP-GROWTH UNTUK MENENTUKAN PAKET PENJUALAN PADA TOKO PERLENGKAPAN KONVEKSI SRI BUSANA

Authors

  • Andri Triyono universitas An Nuur Author
  • Dhika Malita Puspita Arum universitas An Nuur Author
  • Rahmawan Bagus Trianto universitas An Nuur Author

Keywords:

toko; transaksi_penjualan; data_mining; fp_growth; konsumen;

Abstract

Consumers of the Sri Busana convection shop are mostly tailors, both home and 
convection tailors, which are pretty large, especially in Grobogan district. The increasing 
number of fashion businesses or tailors in Grobogan district makes data on goods and sales 
at the sri busana convection shop increase because the sri busana convection shop always 
strives to meet the needs of tailors or home convection. In overcoming the problem of finding 
more efficient consumer patterns, an analysis of buying patterns is carried out. Consumer 
buying patterns were analyzed using Association rules and FP-Growth methods. With this 
algorithm, the process of determining consumer purchasing patterns consists of 2 product 
combinations with a support value of 50% and a confidence value of 100%. 3 product 
combinations with a support value of 40% and a confidence value of 80%. 4 product 
combinations with a support value of 40% and a confidence value of 80%. 

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Published

2022-01-20

How to Cite

PENGGUNAAN ALGORITMA FP-GROWTH UNTUK MENENTUKAN PAKET PENJUALAN PADA TOKO PERLENGKAPAN KONVEKSI SRI BUSANA. (2022). Julia: Jurnal Ilmu Komputer An Nuur, 2(01), 28-37. https://julia.ejournal.unan.ac.id/index.php/1/article/view/16