@thesis{thesis,
		author={Agustin  Resti and Haris  Abdul and Kuswardani  Dwina},
		title ={Implementasi Backpropagation Untuk Deteksi Judul Konten Clickbait Pada Youtube},
		year={2019},
		url={http://156.67.221.169/4368/},
		abstract={Content creators use clickbait as a way to attract visitors on Youtube. This research is related to the title of Youtube content which is clickbait. This study aims to display the results of the detection of YouTube content titles adapted to the learning data from respondents. The metContent creators use clickbait as a way to attract visitors on Youtube. This research is related to the title of Youtube clickbait content which is clickbait. This study aims to display the results of the detection of YouTube content titles adapted to the learning data from respondents. The method used in this research is text mining, backpropagation. Text mining for preprocessing text, term frequency-inverse document frequency, and text extraction. Text preprocessing includes case-folding, tokenizing, filtering and stemming. Term frequency-inverse document frequency includes weighting term frequency, document frequency, inverse document frequency, and weighting document term. Text extraction consists of positive keywords and the weight of the connection between sentences. While backpropagation is to detect output with target values. Based on the results of testing with 353 Youtube content title data conducted, backpropagation has a precision value of 43% and a recall value of 42%.}
		}