IMPLEMENTASI ALGORITMA APRIORI UNTUK MENCARI POLA TRANSAKSI PENJUALAN PADA TOKO PERTANIAN TOKO BIDSALTANI
Keywords:
Data mining1; Appriori2; Fp-Growt3; rapid miner4Abstract
Progress in the industrial sector is currently growing rapidly, especially in medium
and upper-class businesses, especially in agricultural shop businesses. Agricultural shops
are one of the medium-sized businesses where competition is quite tight, this can be seen
from the high consumer demand for fertilizer and agricultural equipment.With the high
demand of consumers for agricultural needs as well as intense competition, agricultural
shop companies must further improve their business performance in order to be able to
face the problems that occur.Bidsal Tani is one of the many agricultural shops in
Purwodadi District that sells agricultural necessities, such as chemical fertilizer, compost,
plant seeds and all other agricultural necessities, it can be seen that to make a profit as
expected.The a priori algorithm is a market basket analysis algorithm used to produce
association rules. Association rules can be used to find relationships or cause and effect.
The results of the research are that the products frequently purchased by consumers are
PHONSKA, NPA, ZA, FASTAC, KOGE, UREA, GANDASIL, FLORAN, SP36, TSP,
WUXAL, BAYFOLAN, BLOPATEK, KCL, HYDRASIL AND DECIS products.