@thesis{thesis,
		author={Haris  Abdul and PUTRI  DEVI RIZKI and Sikumbang  Hengki},
		title ={PENERAPAN WINNOWING ALGORITHM PADA APLIKASI IDENTIFIKASI KELAYAKAN DAN PLAGIARISME SKRIPSI},
		year={2018},
		url={http://156.67.221.169/4523/},
		abstract={To minimize the practice of plagiarism needed a method that can analyze the
level of words, the similaritas of which is by using the method of winnowing. This
research aims to build a website-based applications using the winnowing
algorithm is able to identify plagiarism in students ' thesis. In the search algorithm
hash value using equation winnowing rolling hash. The hash value is a numeric
value that is formed from the ASCII (American Standard Code for Information
Interchange) of each character. The results of these similarity measurement
research concluded that the smaller the percentage rate in common thesis that
was tested, the small degree of resemblance. If the percentage <=30% then the
thesis is not included in the category of plagiarism, but if the results of testing on
the larger thesis >30%, then the thesis has a high degree of similarity and such
action is considered plagiarism. This study comes with a description of the
percentage of similarity and categories of plagiarism.}
		}