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How to cite (IEEE):
L. Arif, A. Barakbah, A. Sudarsono, & R. Edelani
"Big Data Environment for Realtime Earthquake Data Acquisition and Visualization," JOIV : International Journal on Informatics Visualization, vol. 3, no. 4, , pp. 365 - 376, Nov. 2019.
https://doi.org/10.30630/joiv.3.4.320
How to cite (APA):
Arif, L., Barakbah, A., Sudarsono, A., & Edelani, R.
(2019).
Big Data Environment for Realtime Earthquake Data Acquisition and Visualization.
JOIV : International Journal on Informatics Visualization, 3(4), 365 - 376.
https://doi.org/10.30630/joiv.3.4.320
How to cite (Chicago):
Arif, Louis, Barakbah, Ali, Sudarsono, Amang, AND Edelani, Renovita.
"Big Data Environment for Realtime Earthquake Data Acquisition and Visualization" JOIV : International Journal on Informatics Visualization [Online], Volume 3 Number 4 (9 November 2019)
https://doi.org/10.30630/joiv.3.4.320
How to cite (Vancouver):
Arif L, Barakbah A, Sudarsono A, & Edelani R .
Big Data Environment for Realtime Earthquake Data Acquisition and Visualization.
JOIV : International Journal on Informatics Visualization [Online]. 2019 Nov;
3(4):365 - 376.
https://doi.org/10.30630/joiv.3.4.320
How to cite (Harvard):
Arif, L., Barakbah, A., Sudarsono, A., & Edelani, R.
,2019.
Big Data Environment for Realtime Earthquake Data Acquisition and Visualization.
JOIV : International Journal on Informatics Visualization, [Online] 3(4), pp. 365 - 376.
https://doi.org/10.30630/joiv.3.4.320
How to cite (MLA8):
Arif, Louis, Ali Ridho Barakbah, Amang Sudarsono, & Renovita Edelani.
"Big Data Environment for Realtime Earthquake Data Acquisition and Visualization." JOIV : International Journal on Informatics Visualization [Online], 3.4 (2019): 365 - 376. Web. 2 Oct. 2023
, https://doi.org/10.30630/joiv.3.4.320
BibTex Citation Data :
@article{JOIV320,
author = {Louis Arif and Ali Barakbah and Amang Sudarsono and Renovita Edelani},
title = {Big Data Environment for Realtime Earthquake Data Acquisition and Visualization},
journal = {JOIV : International Journal on Informatics Visualization},
volume = {3},
number = {4},
year = {2019},
keywords = {Earthquake Big Data Environment; Earthquake Big Data Acquisition and Visualization; Earthquake Data Analysis},
abstract = {Indonesia is a country that has the highest level of earthquake risk in the world. In the past 10 years, there have been ± 90,000 earthquake events recorded and always increasing along with the explosion of earthquake data occurs at any time. The process of collecting and analyzing earthquake data requires more effort and takes a long computational time. In this paper, we propose a new system to acquire, store, manage and process earthquake data in Indonesia in real-time, fast and dynamic by utilizing features in the Big Data Environment. This system improves computational performance in the process of managing and analyzing earthquake data in Indonesia by combining and integrating earthquake data from several providers to form a complete unity of earthquake data. An additional function is the existence of an API (Application Programming Interface) embedded in this system to provide access to the results of earthquake data analysis such as density, probability density function and seismic data association between provinces in Indonesia. The process in this system has been carried out in parallel and improved computing performance. This is evidenced by the computational time in the preprocessing process on a single-core master node, which requires 55.6 minutes, but a distributed computing process using 15 cores can speeds up with only 4.82 minutes.},
issn = {2549-9904}, pages = {365--376}, doi = {10.30630/joiv.3.4.320},
url = {http://joiv.org/index.php/joiv/article/view/320}
}
Refworks Citation Data :
@article{{JOIV}{320}, author = {Arif, L., Barakbah, A., Sudarsono, A., Edelani, R.}, title = {Big Data Environment for Realtime Earthquake Data Acquisition and Visualization}, journal = {JOIV : International Journal on Informatics Visualization}, volume = {3}, number = {4}, year = {2019}, doi = {10.30630/joiv.3.4.320}, url = {} }Refbacks
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JOIV : International Journal on Informatics Visualization
ISSN 2549-9610 (print) | 2549-9904 (online)
Organized by Department of Information Technology - Politeknik Negeri Padang, and Institute of Visual Informatics - UKM and Soft Computing and Data Mining Centre - UTHM
W : http://joiv.org
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is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.