Convolutional Neural Network for Earthquake Ground Motion Prediction Model in Earthquake Early Warning System in West Java

Authors

Melki Adi Kurniawan , Sastra Kusuma Wijaya , Nuraini Rahma Hanifa

DOI:

10.29303/jppipa.v9i11.3514

Published:

2023-11-25

Issue:

Vol. 9 No. 11 (2023): November

Keywords:

Earthquake, EEWS, Machine learning, CNN

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Kurniawan, M. A. ., Wijaya, S. K. ., & Hanifa, N. R. . (2023). Convolutional Neural Network for Earthquake Ground Motion Prediction Model in Earthquake Early Warning System in West Java. Jurnal Penelitian Pendidikan IPA, 9(11), 1004–1010. https://doi.org/10.29303/jppipa.v9i11.3514
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Abstract

As urbanization continues, more people and infrastructure are concentrated in areas that are at risk from earthquakes. This can increase the potential damage and loss of life when earthquakes occur. Indonesia is a region that is near the boundary of three major tectonic plates which has a very high frequency of earthquake occurrences. Over the past two decades, a new approach to earthquake disaster risk mitigation has emerged. It is based on the advent of digital seismology and advances in data transmission and automatic processing that make it possible to send warnings before the largest ground motion that called the Earthquake Early Warning System (EEW). On-site EEW is a type of EEW that consists of limited seismic stations located at a specific destination/infrastructure (for early detection systems). On-site EEW estimates ground motion parameters directly from the characteristics of seismograms recorded by the system. An artificial intelligence approach to EEW is necessary to increase the speed and accuracy of information, which increases processing time, especially in areas very close to the epicenter

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Author Biographies

Melki Adi Kurniawan, Universitas Indonesia

Sastra Kusuma Wijaya, Indonesia Agency for Meteorogical, Calimatological and Geophysics, Jakarta

Dr. Sastra Kusuma Wijaya is one of the lecturers in the Department of Physics, University of Indonesia. His expertise is Electronics Intrumentation. He was born in Jakarta on November 26, 1958. He received his Ph.D. from Okayama Univfersity, Japan, in the field of the Natural Sciences & Engineering, with a title of dissertation: Mechanical Mobility Technique for Stability and Geometry Assessment of Dental Implant. He has also a strong interest in the Biomedics Instrumentation.

Besides actively working as an educator, he also joins to train and manage the Physics Olympiad Team, especially in the experimental discussion, which is one important aspect of the assessment at the International Physics Olympiad. He has also written a number of papers in international journals such as the IEEE Journal.

Dr. Sastra Kusuma Wijaya has received several awards such as “The Best Paper Award in the Proc. of the 9th Scientific Meeting of the Indonesian Student Asscosiation,†Tokyo, Japan (2001)  as well as “The Outstanding Paper Award in the Proc. ICBME “, Singapore (2002).

Nuraini Rahma Hanifa, National Research and Innovation Agency

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