Deep learning application using neural network classification for cyberspace dataset with backpropagation algorithm and log-linear models

Deep learning application using neural network classification for cyberspace dataset with backpropagation algorithm and log-linear models

This study aims to classify bloggers in the Kohkiloye and Boyer Ahmad Province in Iran where causes of users tend cyberspace on there. The database was got from UCI Machine Learning Repository. There are 100th object and 6th variables. All of the variables were Professional Bloggers, Political and S...

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Main Authors: Baiq Siska Febriani Astuti, Tuti Purwaningsih
Format: Article
Language:English
Published: Universitas Ahmad Dahlan 2018-01-01
Series:Jurnal Informatika
Online Access:http://journal.uad.ac.id/index.php/JIFO/article/view/8566
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spelling doaj-a841eb5be62b4d35b5fe0fbcf263305b2021-05-03T04:15:59ZengUniversitas Ahmad DahlanJurnal Informatika1978-05242018-01-011211810.26555/jifo.v12i1.a85665492Deep learning application using neural network classification for cyberspace dataset with backpropagation algorithm and log-linear modelsBaiq Siska Febriani Astuti0Tuti Purwaningsih1Institut Teknologi Sepuluh NopemberUniversitas Islam IndonesiaThis study aims to classify bloggers in the Kohkiloye and Boyer Ahmad Province in Iran where causes of users tend cyberspace on there. The database was got from UCI Machine Learning Repository. There are 100th object and 6th variables. All of the variables were Professional Bloggers, Political and Social Space (LPSS), Local Media Turnover (LMT), Political Caprice, Topics, and Degree. This study has using Artificial Neural Network with backpropagation algorithm and Log-linear models for classify Bloggers (Cyber Space). We classify blogger to two groups: professional bloggers and seasonal (temporary) bloggers. The result of this study is Neural network with backpropagation algorithm has been shown to be useful tool for prediction, especially for this case. From this study, we can see on the result that miss-classification with backpropagation algorithm less than using Log-Linear Modelshttp://journal.uad.ac.id/index.php/JIFO/article/view/8566
collection DOAJ
language English
format Article
sources DOAJ
author Baiq Siska Febriani Astuti
Tuti Purwaningsih
spellingShingle Baiq Siska Febriani Astuti
Tuti Purwaningsih
Deep learning application using neural network classification for cyberspace dataset with backpropagation algorithm and log-linear models
Jurnal Informatika
author_facet Baiq Siska Febriani Astuti
Tuti Purwaningsih
author_sort Baiq Siska Febriani Astuti
title Deep learning application using neural network classification for cyberspace dataset with backpropagation algorithm and log-linear models
title_short Deep learning application using neural network classification for cyberspace dataset with backpropagation algorithm and log-linear models
title_full Deep learning application using neural network classification for cyberspace dataset with backpropagation algorithm and log-linear models
title_fullStr Deep learning application using neural network classification for cyberspace dataset with backpropagation algorithm and log-linear models
title_full_unstemmed Deep learning application using neural network classification for cyberspace dataset with backpropagation algorithm and log-linear models
title_sort deep learning application using neural network classification for cyberspace dataset with backpropagation algorithm and log-linear models
publisher Universitas Ahmad Dahlan
series Jurnal Informatika
issn 1978-0524
publishDate 2018-01-01
description This study aims to classify bloggers in the Kohkiloye and Boyer Ahmad Province in Iran where causes of users tend cyberspace on there. The database was got from UCI Machine Learning Repository. There are 100th object and 6th variables. All of the variables were Professional Bloggers, Political and Social Space (LPSS), Local Media Turnover (LMT), Political Caprice, Topics, and Degree. This study has using Artificial Neural Network with backpropagation algorithm and Log-linear models for classify Bloggers (Cyber Space). We classify blogger to two groups: professional bloggers and seasonal (temporary) bloggers. The result of this study is Neural network with backpropagation algorithm has been shown to be useful tool for prediction, especially for this case. From this study, we can see on the result that miss-classification with backpropagation algorithm less than using Log-Linear Models
url http://journal.uad.ac.id/index.php/JIFO/article/view/8566
work_keys_str_mv AT baiqsiskafebrianiastuti deeplearningapplicationusingneuralnetworkclassificationforcyberspacedatasetwithbackpropagationalgorithmandloglinearmodels
AT tutipurwaningsih deeplearningapplicationusingneuralnetworkclassificationforcyberspacedatasetwithbackpropagationalgorithmandloglinearmodels
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