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BibTex Citation Data :
@article{JOIV204, author = {Mohammad Nur Shodiq and Dedy Hidayat Kusuma and Mirza Ghulam Rifqi and Ali Ridho Barakbah and Tri Harsono}, title = {Adaptive Neural Fuzzy Inference System and Automatic Clustering for Earthquake Prediction in Indonesia}, journal = {JOIV : International Journal on Informatics Visualization}, volume = {3}, number = {1}, year = {2019}, keywords = {Seismic, Automatic Clustering, Adaptive Neural Fuzzy Inference System, Earthquake Prediction}, abstract = {Earthquake is a type of natural disaster. The Indonesian archipelago located in the world's three mega plates; they are Australian plate, Eurasian plate, and Pacific plate. Therefore, it is possible for applied of earthquake risk of mitigation. One of them is to provide information about earthquake occurrences. This information used for spatiotemporal analysis of earthquakes. This paper presented Spatial Analysis of Magnitude Distribution for Earthquake Prediction using adaptive neural fuzzy inference system (ANFIS) based on automatic clustering in Indonesia. This system has three main sections: (1) Data preprocessing, (2) Automatic Clustering, (3) Adaptive Neural Fuzzy Inference System. For experimental study, earthquake data obtained Indonesian Agency for Meteorological, Climatological, and Geophysics (BMKG) and the United States Geological Survey’s (USGS), the year 2010-2017 in the location of Indonesia. Automatic clustering process produces The optimal number of cluster, that is 7 clusters. Each cluster will be analyzed based on earthquake distribution. Its calculate the b value of earthquake to get the seven seismicity indicators. Then, implementation for ANFIS uses 100 training epochs, Number of membership function (MFs) is 2, MFs type input is gaussian membership function (gaussmf). The ANFIS result showed that the system can predict the non-occurrence of aftershocks with the average performance of 70%.}, issn = {2549-9904}, pages = {47--53}, doi = {10.30630/joiv.3.1.204}, url = {http://joiv.org/index.php/joiv/article/view/204} }
Refworks Citation Data :
@article{{JOIV}{204}, author = {Shodiq, M., Kusuma, D., Rifqi, M., Barakbah, A., Harsono, T.}, title = {Adaptive Neural Fuzzy Inference System and Automatic Clustering for Earthquake Prediction in Indonesia}, journal = {JOIV : International Journal on Informatics Visualization}, volume = {3}, number = {1}, year = {2019}, doi = {10.30630/joiv.3.1.204}, 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
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is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.