@thesis{thesis,
		author={Suyanto  Suyanto},
		title ={PENDEKATAN CLUSTERING LAYANAN IT HELPDESK SEBAGAI PEMBERIAN SOLUSI DENGAN METODE TFIDF (TERM FREQUENCY – INVERSE DOCUMENT FREQUENCY) DAN VECTOR SPACE MODEL
(STUDI KASUS PT RADANA BHASKARA FINANCE)},
		year={2015},
		url={http://156.67.221.169/10/},
		abstract={The IT Helpdesk division at Radana Finance has some trouble in managing the complain data with the result that many of the complain data remain unsolved. This problem is caused by the large number of complain and the difficulty in finding the data. Even though a careful search on finding the complain data has been done, sometimes there are still complains that needs more time to be solved, rather, can not be solved at all. In this research, an information system is designed to overcome this problem. In this research, a software development model called Extreme Programming is used. As for planning, design, coding and trial, Black Box testng method is used. The result of this research is a complain finding application. With this application, the complain that is received into the system can be resolved so that it helps the IT Helpdesk division work performance.}
		}