@thesis{thesis,
		author={Ar Ramdan  Azhar Saher and Kuswardani  Dwina and Sangaji  Iriansyah},
		title ={PENERAPAN ALGORITMA ECLAT PADA DATA TRANSAKSI PENJUALAN PT. KONDANG JAYA},
		year={2019},
		url={http://156.67.221.169/4305/},
		abstract={The growth of manufacturing shop number is increasingly in demand. In addition, there are many differences about the price of the products offered among one store and others. However, the manufacturing shop must reach higher profit over the others. The way that can be taken is to find out the customer's buying patterns by analyzing sales transaction data. The goal of frequent pattern is to find the association of goods from the data base. One of the algorithms used is eclat. Eclat uses a database with a vertical layout. Each item is stored together in the TID list and uses an intersection based placement to calculate the support of an item set. Data collection was carried out by means of observation, questionnaires, interviews, and literature studies on PT. Kondang Jaya. In the application and data processing the association rule method will be applied with the eclat algorithm. From the experimental results, from 72 samples data that have been processed shows the (KG - 16x12, KG - T.3 12x20 ? KG - 17x12) with a minimum value of support 0.02 % and minimum confidence 1% and (KG - 17x12, KG - 20x13 ? KB - 18x12) ) with a minimum value of support 0.02 % and minimum confidence 0,22%.}
		}