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