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Big Data’s Tools for Internet Data Analytics: Modelling of System Dynamics

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@article{IJASEIT1088,
   author = {Feldiansyah Nasution and Nor Erne Nazira Bazin and - Daliyusmanto and Andry Zulfikar},
   title = {Big Data’s Tools for Internet Data Analytics: Modelling of System Dynamics},
   journal = {International Journal on Advanced Science, Engineering and Information Technology},
   volume = {7},
   number = {3},
   year = {2017},
   pages = {745--753},
   keywords = {big data; system dynamics; modelling},
   abstract = {In this paper, an application based on Apache Hadoop is deployed to gather, store and analyse the data from the 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 are used to identify the components of the system. In continuation of the improvement process, the clustering analytics will be used not only as a 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 components which is compliant components. The sentiment is sourced from online and social media. Manual investigation and analytics of internet data is required in developing the relationships between the components.},
   issn = {2088-5334},
   publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development},
   url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=1088},
   doi = {10.18517/ijaseit.7.3.1088}
}

EndNote

%A Nasution, Feldiansyah
%A Nazira Bazin, Nor Erne
%A Daliyusmanto, -
%A Zulfikar, Andry
%D 2017
%T Big Data’s Tools for Internet Data Analytics: Modelling of System Dynamics
%B 2017
%9 big data; system dynamics; modelling
%! Big Data’s Tools for Internet Data Analytics: Modelling of System Dynamics
%K big data; system dynamics; modelling
%X In this paper, an application based on Apache Hadoop is deployed to gather, store and analyse the data from the 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 are used to identify the components of the system. In continuation of the improvement process, the clustering analytics will be used not only as a 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 components which is compliant components. The sentiment is sourced from online and social media. Manual investigation and analytics of internet data is required in developing the relationships between the components.
%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=1088
%R doi:10.18517/ijaseit.7.3.1088
%J International Journal on Advanced Science, Engineering and Information Technology
%V 7
%N 3
%@ 2088-5334

IEEE

Feldiansyah Nasution,Nor Erne Nazira Bazin,- Daliyusmanto and Andry Zulfikar,"Big Data’s Tools for Internet Data Analytics: Modelling of System Dynamics," International Journal on Advanced Science, Engineering and Information Technology, vol. 7, no. 3, pp. 745-753, 2017. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.7.3.1088.

RefMan/ProCite (RIS)

TY  - JOUR
AU  - Nasution, Feldiansyah
AU  - Nazira Bazin, Nor Erne
AU  - Daliyusmanto, -
AU  - Zulfikar, Andry
PY  - 2017
TI  - Big Data’s Tools for Internet Data Analytics: Modelling of System Dynamics
JF  - International Journal on Advanced Science, Engineering and Information Technology; Vol. 7 (2017) No. 3
Y2  - 2017
SP  - 745
EP  - 753
SN  - 2088-5334
PB  - INSIGHT - Indonesian Society for Knowledge and Human Development
KW  - big data; system dynamics; modelling
N2  - In this paper, an application based on Apache Hadoop is deployed to gather, store and analyse the data from the 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 are used to identify the components of the system. In continuation of the improvement process, the clustering analytics will be used not only as a 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 components which is compliant components. The sentiment is sourced from online and social media. Manual investigation and analytics of internet data is required in developing the relationships between the components.
UR  - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=1088
DO  - 10.18517/ijaseit.7.3.1088

RefWorks

RT Journal Article
ID 1088
A1 Nasution, Feldiansyah
A1 Nazira Bazin, Nor Erne
A1 Daliyusmanto, -
A1 Zulfikar, Andry
T1 Big Data’s Tools for Internet Data Analytics: Modelling of System Dynamics
JF International Journal on Advanced Science, Engineering and Information Technology
VO 7
IS 3
YR 2017
SP 745
OP 753
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 big data; system dynamics; modelling
AB In this paper, an application based on Apache Hadoop is deployed to gather, store and analyse the data from the 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 are used to identify the components of the system. In continuation of the improvement process, the clustering analytics will be used not only as a 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 components which is compliant components. The sentiment is sourced from online and social media. Manual investigation and analytics of internet data is required in developing the relationships between the components.
LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=1088
DO  - 10.18517/ijaseit.7.3.1088