@thesis{thesis,
		author={Hertina  Desi Rose and Siswipraptini  Puji Catur and TAQWA  MUHAMMAD},
		title ={SISTEM PENGKATEGORIAN ARSIP PEGAWAI OTOMATIS PADA APLIKASI TAKAH DI KEMENTERIAN DALAM NEGERI DENGAN MENGGUNAKAN METODE COSINE SMILARITY},
		year={2018},
		url={http://156.67.221.169/4673/},
		abstract={Archive management is an important aspect in an organization, both
business organizations and government agencies. Increasing a work volume
of an agency, causing an increase in the number of archives generated. The
increasing number of archives over time requires good handling so that the
information contained within the archive can be found quickly and accurately.
Manage the archives manually that has been done so far, has several
weaknesses, among others: requires large space and storage, the risk of
archival damage, and search time is time consuming. Therefore, to overcome
some of these weaknesses need to find a solution. One solution that can be
done is to design a web-based archive management application. The method
used in the development of this system is the method of Cosine Smilarity.}
		}