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All Journal Indonesian Physical Review Jurnal Fisika dan Terapannya
Minarti Minarti
Department Of Physics, Faculty Of Science And Technology, Universitas Islam Negeri Alauddin, Makassar
Education Physics

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EARTHQUAKE RECURRENCE INTERVAL BASED ON SEISMIC MOMENT Muhammad Fawzy Ismullah Massinai; Arif Wijaya; Jamaluddin Jamaluddin; Muhammad Altin Massinai; Emi Prasetyawati Umar; Minarti Minarti
Indonesian Physical Review Vol. 4 No. 3 (2021)
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ipr.v4i3.120

Abstract

Indonesia is a country with high earthquake potential. This potential has been realized by its stakeholders and other parties. Various methods from many researchers from the fields of geophysics, geology, seismology, geodesy, geotechnical engineering, and others have been discussed to arrange earthquake mitigation. However, the discussions are unable to fit all earthquake mitigations across the country because they are still limited to specific characteristics of each fault among thousands of faults in Indonesia. Seismic moment is a parameter that provides information on the energy released when an earthquake occurs. This parameter, in any given scale, can provide information about the earthquake recurrence interval. The earthquake recurrence interval referred to here means that during a certain time period, the area under study has the possibility of experiencing an identical earthquake or with a smaller magnitude. This study tries to offer and test the method of calculating earthquake recurrence interval based on seismic moments. The method tested in several case studies of earthquakes in East Kalimantan has acceptable results. The method in this research has advantages value and can be alternative method in earthquake disaster mitigation.
Klasifikasi Kedalaman Kejadian Gempa Menggunakan Algoritma K-Means Clustering: Studi Kasus Kejadian Gempa Di Sulawesi Amirin kusmiran; Minarti; Muhammad Fawzy Ismullah Massinai; Ahmad Zarkasi; A. Andira Maharani; Rita Desiani
JFT : Jurnal Fisika dan Terapannya Vol 9 No 2 (2022): DESEMBER
Publisher : Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/jft.v9i2.29198

Abstract

Sulawesi region is one of the region that have complex geologic conditions so that disasters caused by large scale earthquake frequently occur in these region. Depth and magnitude attribute of the earthquake that cause the disasters are investigation using machine learning technique. Longitude, latitude, magnitude, depth attributes are used to depth cluster of the earthquake events in 1970-2022 period. The cluster number have been optimized by Elbow method, and validated by Davies-Bouldin index (DBI). The result is shown that the three cluster is the best cluster than the others, and its Davies-Boludin index is 0.397. Depth of the fist cluster is less than equal to 120 km (shallow earthquake), the second cluster is among 120 km and 350 km (intermediate earthquake), and the third cluster is greater than 350 km (deep earthquake). The cluster visualizations of the earthquakes are revealed that shallow earthquakes with above 5 SR are frequently occurred in shallow depth. Based on results, Sulawesi Region is vulnerable to earthquake hazard, and K-Mean clustering algorithm is successfully to cluster of earthquake depth.
Co-Authors A. Andira Maharani Ahmad Zarkasi Amirin kusmiran Arif Wijaya Jamaluddin Jamaluddin Muhammad Altin Massinai Muhammad Fawzy Ismullah Massinai Prasetyawati Umar, Emi Rita Desiani