@thesis{thesis,
		author={Baktir  Bilal Iqbal},
		title ={ANALISA PASAR PENJUALAN MEUBEL DI KOTA MATARAM BERBASIS BUSINESS INTELLIGENCE},
		year={2020},
		url={http://repository.universitasbumigora.ac.id/327/},
		abstract={The furniture industry is an industrial sector that continues to grow in Indonesia. The need for consumers to use products from the furniture industry continues to increase because the industrial sector provides interior design and artistic value. Furniture in Indonesia is also very important as a source of foreign exchange for the country due to enthusiasts at home and abroad. The problem that arises is the intense competition in the furniture industry. This situation makes the head of the furniture shop compete to produce quality products in accordance with consumer desires and the difficulty for producers to manage data or get information in manual systems.
The design and manufacture of this system uses the Waterfall methodology. The method used to classify the sales data for furniture is the K-Nearest Neightbor method. KNN is a method for making decisions.
The results achieved are the production of a prediction system for sales of goods in Big One Mataram and can print a prediction report on sales of goods in excel form so as to help the head of the shop in his business.
The conclusion from research conducted using the KNN method is suitable for classifying data on sales of furniture items. This is evidenced by the level of accuracy that reaches 90% in the testing process using a confussion matrix and the results achieved are the production of a system to predict sales of goods at Big One Mataram furniture to increase profit sales of furniture items.}
		}