@thesis{thesis,
		author={Asri  Yessy and KHOIRI  ABDUL MALIK and Palupiningsih  Pritasari},
		title ={APLIKASI CHATBOT “V-ASSISTANT” SEBAGAI MEDIA INFORMASI LABORATORIUM KOMPUTER LANJUT STT – PLN BERBASIS MOBILE},
		year={2018},
		url={http://156.67.221.169/4515/},
		abstract={This thesis discusses the chatbot application of V-Assistant as an information
media for lecturing activities at the Computer Laboratory, Advanced STT-PLN
using the Cosine Similarity method. The V-Assistant application aims to assist
assistants in serving information about lecture reports and schedules. V-Assistant
was built using the Messaging API and Cosine Similarity in the information search
process. The Messaging API is used for data communication between users and
the V-Assistant system. While Cosine Similarity is part of the V-Assistant system
for information retrieval by calculating the level of document similarity and
combined with if else condition for checking information. The results of this study
V-Assistant using the Cosine Similarity method can be used for relevant
information media. Based on the test results, precision has a value of 60% and a
recall of 100%. This proves that the results obtained by Cosine Similarity are
considered quite relevant with precision values of 60% while with a recall of 100%
proves that the Cosine Similarity method has a high success rate in categorizing
types of questions.}
		}