PREDIKSI JUMLAH PENONTON VIDEO YOUTUBE MENGGUNAKAN MODEL DEEP NEURAL NETWORK (DNN)

Dwin Indrawan (Universitas Nusa Mandiri)
Sena Ramadona Cakrawijaya (Universitas Nusa Mandiri)
Bagus Dwi Wicaksono (Universitas Nusa Mandiri)
Erni Erni (Universitas Nusa Mandiri)
Windu Gata (Universitas Nusa Mandiri)

JISICOM (Journal of Information System, Infomatics and Computing)
Vol 5 No 1 (2021): JISICOM : Volume 5, Nomor 1, Juni 2021

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.