@thesis{thesis,
		author={Affandi  Riki Ruli and Shafira  Auliani and Yosrita  Efy},
		title ={KETERKAITAN POLA PEMBELIAN FURNITURE DENGAN MENGGUNAKAN ALGORITMA APRIORI},
		year={2019},
		url={http://156.67.221.169/4449/},
		abstract={Arafah Ayu's store is one of the stores that sell furniture in the city of
langsa, but often endless stock of goods demanded often complaints from
buyers, by analyzing the relationship between furniture sales data which the
analysis results make to predict stock availability of goods. The data linkage of
goods is chosen because by knowing the linkage pattern, the percentage of
linkage of item A to item B will be obtained, thus the greatest linkage can be used
as a reference in predicting future stock of goods. By using the a priori algorithm
method, sales data will be calculated the value of the relationship of each item to
produce The Best Rules, namely the highest linkage, with a minimum value of
support and minimum confidence as a benchmark.
The results of research testing with data for 1 month, January 2018 with a
minimum support of 9% and a minimum of 55% confidence is to produce 15
patterns of association with the smallest value is If you buy Springbed Conforta
then also buy a Minimalist Cushions & Pillows with a value of support of 9.26 %
and 55.56% confidence value. And the highest connection value is If you buy a
Minimalist Crib then also buy a pillow with a support value of 16.67% and 100%
confidence.}
		}