Open AccessPREDIKSI JUMLAH PENONTON VIDEO YOUTUBE MENGGUNAKAN MODEL DEEP NEURAL NETWORK (DNN)
Author(s) -
Dwin Indrawan,
Sena Ramadona Cakrawijaya,
Bagus Dwi Wicaksono,
Erni Erni,
Windu Gata
Publication year - 2021
Publication title -
jisicom (journal of information system, infomatics and computing)
Language(s) - English
Resource type - Journals
eISSN - 2597-3673
pISSN - 2579-5201
DOI - 10.52362/jisicom.v5i1.463
Subject(s) - computer science , artificial neural network , naive bayes classifier , artificial intelligence , machine learning , multimedia , support vector machine
Youtube viewer becomes a major factor in a content creator's success. The problem is how can predict the number of viewers of a youtube content to determine the success of a content or make it a trending video topic. A machine or computer can predict the number of viewers using the ANN method. DNN is one of ANN models that can predict a dataset. This study compared the success rate in predicting the number of viewers of youtube content from Youtube API dataset. DNN model prediction results have a higher level of excellence compared to the use of traditional methods Linear Regression and Naive Bayes.