Big data's tools for internet data analytics: Modelling of system dynamics

In this paper, an application based on Apache Hadoop is deployed to gather, store and analyze the data from Internet, especially online and social media. Nowadays, this application is a common tool for media analysis. In our case, it is used to assist in the modelling of system dynamics. Basically,...

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Main Authors: Nasution, F. B., Bazin, N. E. N., Daliyusmanto, Daliyusmanto, Zulfikar, A.
Format: Article
Language:English
Published: Insight Society 2017
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Online Access:http://eprints.utm.my/id/eprint/80796/1/FeldiansyahNasution2017_BigDatasToolsforInternetDataAnalytics.pdf
http://eprints.utm.my/id/eprint/80796/
http://dx.doi.org/10.18517/ijaseit.7.3.1088
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spelling my.utm.807962019-06-27T07:02:07Z http://eprints.utm.my/id/eprint/80796/ Big data's tools for internet data analytics: Modelling of system dynamics Nasution, F. B. Bazin, N. E. N. Daliyusmanto, Daliyusmanto Zulfikar, A. QA75 Electronic computers. Computer science In this paper, an application based on Apache Hadoop is deployed to gather, store and analyze the data from Internet, especially online and social media. Nowadays, this application is a common tool for media analysis. In our case, it is used to assist in the modelling of system dynamics. Basically, There are several tools that will be used, such as for file system, data crawling from the Internet, data indexing, data storage, and data analytics. The selection of technology is as the industrial trend. Surely, this is not the best approach, but as another perspective for modelling of system dynamics. A system dynamics model is developed to study the profitability of the telecommunication company and how the complaint or negative sentiment will impact to their profits. The clustering analytics is used to identify the components of the system. In continuation of the improvement process, the clustering analytics will be used not only as one time effort. It runs periodically to develop a better model of the system. Sentiment analysis tool is used as the input for one of the component, which is the complaint component. The sentiments are sourced from online and social media. Manual investigation and analytics of Internet data is required in developing the relation between the components. Insight Society 2017 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/80796/1/FeldiansyahNasution2017_BigDatasToolsforInternetDataAnalytics.pdf Nasution, F. B. and Bazin, N. E. N. and Daliyusmanto, Daliyusmanto and Zulfikar, A. (2017) Big data's tools for internet data analytics: Modelling of system dynamics. International Journal on Advanced Science, Engineering and Information Technology, 7 (3). pp. 745-753. ISSN 2088-5334 http://dx.doi.org/10.18517/ijaseit.7.3.1088 DOI:10.18517/ijaseit.7.3.1088
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Nasution, F. B.
Bazin, N. E. N.
Daliyusmanto, Daliyusmanto
Zulfikar, A.
Big data's tools for internet data analytics: Modelling of system dynamics
description In this paper, an application based on Apache Hadoop is deployed to gather, store and analyze the data from Internet, especially online and social media. Nowadays, this application is a common tool for media analysis. In our case, it is used to assist in the modelling of system dynamics. Basically, There are several tools that will be used, such as for file system, data crawling from the Internet, data indexing, data storage, and data analytics. The selection of technology is as the industrial trend. Surely, this is not the best approach, but as another perspective for modelling of system dynamics. A system dynamics model is developed to study the profitability of the telecommunication company and how the complaint or negative sentiment will impact to their profits. The clustering analytics is used to identify the components of the system. In continuation of the improvement process, the clustering analytics will be used not only as one time effort. It runs periodically to develop a better model of the system. Sentiment analysis tool is used as the input for one of the component, which is the complaint component. The sentiments are sourced from online and social media. Manual investigation and analytics of Internet data is required in developing the relation between the components.
format Article
author Nasution, F. B.
Bazin, N. E. N.
Daliyusmanto, Daliyusmanto
Zulfikar, A.
author_facet Nasution, F. B.
Bazin, N. E. N.
Daliyusmanto, Daliyusmanto
Zulfikar, A.
author_sort Nasution, F. B.
title Big data's tools for internet data analytics: Modelling of system dynamics
title_short Big data's tools for internet data analytics: Modelling of system dynamics
title_full Big data's tools for internet data analytics: Modelling of system dynamics
title_fullStr Big data's tools for internet data analytics: Modelling of system dynamics
title_full_unstemmed Big data's tools for internet data analytics: Modelling of system dynamics
title_sort big data's tools for internet data analytics: modelling of system dynamics
publisher Insight Society
publishDate 2017
url http://eprints.utm.my/id/eprint/80796/1/FeldiansyahNasution2017_BigDatasToolsforInternetDataAnalytics.pdf
http://eprints.utm.my/id/eprint/80796/
http://dx.doi.org/10.18517/ijaseit.7.3.1088
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score 13.211869