IMPLEMENTASI ALGORITMA APRIORI UNTUK MENCARI POLA TRANSAKSI PENJUALAN PADA TOKO PERTANIAN TOKO BIDSALTANI

Authors

  • Muhamad Nuryahya universitas An Nuur Author
  • Andri Triyono universitas An Nuur Author
  • Agus Susilo Nugroho universitas An Nuur Author

Keywords:

Data mining1; Appriori2; Fp-Growt3; rapid miner4

Abstract

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.

Downloads

Published

2024-01-20

How to Cite

IMPLEMENTASI ALGORITMA APRIORI UNTUK MENCARI POLA TRANSAKSI PENJUALAN PADA TOKO PERTANIAN TOKO BIDSALTANI. (2024). Julia: Jurnal Ilmu Komputer An Nuur, 4(1), 39-46. https://julia.ejournal.unan.ac.id/index.php/1/article/view/20