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All Journal JISICOM (Journal of Information System, Infomatics and Computing)
Erni Erni
Universitas Nusa Mandiri
Computer Science & IT

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Journal : jisicom journal of information system infomatics and computing

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PREDIKSI JUMLAH PENONTON VIDEO YOUTUBE MENGGUNAKAN MODEL DEEP NEURAL NETWORK (DNN) Dwin Indrawan; Sena Ramadona Cakrawijaya; Bagus Dwi Wicaksono; Erni Erni; Windu Gata
Journal of Information System, Informatics and Computing Vol 5 No 1 (2021): JISICOM : Volume 5, Nomor 1, Juni 2021
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisicom.v5i1.463

Abstract

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.
Co-Authors Bagus Dwi Wicaksono Dwin Indrawan Sena Ramadona Cakrawijaya Windu Gata