Indonesian Review of Physics (IRiP)
Vol. 6 No. 1 (2023)

Estimation of Flores Sea Aftershock Rupture Data Based on AI

Adi Jufriansah (IKIP Muhammadiyah Maumere)
Azmi Khusnani (IKIP Muhammadiyah Maumere)
Yudhiakto Pramudya (Universitas Ahmad Dahlan)
Mulya Afriyanto (Meteorological, Climatological, and Geophysical Agency (BMKG))

Article Info

Publish Date
30 Jun 2023


The earthquake catalog notes that there have been earthquakes with Mw > 7 that hit the Flores area, three of which occurred in the Flores Sea in 1992, 2015, and 2021. Revealed that the seismic activity of Eastern Indonesia is thought to be influenced by the isolated thrust fault segment of the island of Flores and the island of Wetar. The study of the rising fault segment on Flores Island and Wetar Island helps in further understanding the fault behavior, earthquake pattern, and seismic risk in the Flores Sea region. In earthquakes with giant magneto, an aftershock can occur due to the interaction of ground movements. This research analyzes and compares the data from the evaluation of the classification algorithm and the regression algorithm. The initial stages of this research include requesting IRIS DMC Web Service data. The data is then subjected to a cleaning process to obtain the expected feature extraction. The next stage is to perform the clustering process. This stage is carried out to label dependent data by adding new features as data clusters. The following procedure divides the validation value, which consists of training and test data. The estimation results show that the classification algorithm's evaluation value is better than that of the regression algorithm. The evaluation value of several algorithms indicates this, with an accuracy rate between 80% and 100%.

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Journal Info





Astronomy Earth & Planetary Sciences Education Materials Science & Nanotechnology


This journal is continued version of Berkala Fisika Indonesia journal. The journal was published for the first time in 2008. The last published volume was 10 (1) 2018. The ISSN is 2085-0409 (printed version) and 2250-0465 (online ...