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Studi Sejarah Letusan Samalas Berdasarkan Stratigrafi Endapan Vulkanik di Daerah Gangga, Lombok Utara Muhammad Zuhdi Ronodirdjo; Syamsuddin Syamsuddin; Bakti Sukrisna; Syahrial Ayub; Muhammad Taufik
Jurnal Pendidikan, Sains, Geologi, dan Geofisika (GeoScienceEd Journal) Vol. 1 No. 1 (2020)
Publisher : Mataram University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (395.89 KB) | DOI: 10.29303/goescienceedu.v1i1.30

Abstract

Abstract: Gunung Samalas yang kini disebut dengan Gunung Rinjani adalah gunung api dengan letusan terbesar sepanjang sejarah ummat manusia dari zaman Nabi Ibrahim hingga kini. Penemuan ini didasarkan pada cerita sejarah bencana kelaparan yang melanda hampir separuh belahan dunia dari sekitar Pasifik hingga ujung barat benua Eropa. Letusan gunung besar gunung samalas sebelumnya terjadi sekitar 2500 tahun yang lalu. Penelitian ini bertujuan untuk mengungkap letusan besar yang pernah terjadi di Gunung Samalas berdasarkan stratigrafi endapan vulkanik di daerah Gangga, Lombok Utara. Hasil penelitian menunjukkan bahwa terdapat letusan besar yang terjadi sebelum 2500 tahun yang lalu, sehingga dapat disimpulkan bahwa terdapat 3 letusan besar yang telah terjadi pada Gunung Samalas. Penelitian awal ini masih memerlukan dukungan dari data dari tempat lain dan data hasil dating dari lapisan pumice yang diduga sebagai hasil letusan paling awal. Keywords: Letusan Samalas; Endapan Vulkanik; Lombok.
Algoritma Perhitungan Charge Occurrence Probability (COP) Pada Data Self Potensial Muhammad Zuhdi; Syamsuddin Syamsuddin; Bakti Sukrisna
Jurnal Penelitian dan Pembelajaran Fisika Indonesia Vol. 1 No. 1 (2019)
Publisher : Prodi Fisika FKIP Unram

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (133.526 KB) | DOI: 10.29303/jppfi.v1i1.13

Abstract

Calculation Algorithm of Occurrence Probability (COP) of Self Potential Data. Self potential is often also called spontaneous potential is one of the geophysical methods that is based on the electrical properties of the material below the earth surface. Self potential arises due to the presence of electric charged of minerals that come in contact with electrolyte solutions around these minerals. Charge Occurrence Probability (COP) is one method of interpreting self potential data. The measurement of self potential on the surface is carried out using two porouspot electrodes made of copper which are immersed in copper sulfate or perusi. The COP calculation algorithm performed in this study is intended for users of the Matlab program. The research algorithm consists of two kinds, namely two-dimensional algorithm and 3-dimensional algorithm. Two-dimensional algorithm is performed on a line in a certain direction through the center of the anomaly. Three-dimensional algorithm is performed by the gridding method which is generated from the 2-dimensional calculation algorithm. Theoretically the resolution generated from this algorithm depends on the density of self potential data. Key Words: Self Potential, Spontaneous, Charge Occurrence Probality, COP
Correlation Between Building Damage Levels and Microtremor HVSR Curve Parameters Baiq Laelatin Diniati; Syamsuddin, Syamsuddin; Bakti Sukrisna; Kormil Saputra; Ika Umratul Asni Aminy; Rahmatun Inayah; Adella Ulyandana Jayatri; Shamim Mahabubul Haque
Frontier Advances in Applied Science and Engineering Vol. 2 No. 2 (2024)
Publisher : Tinta Emas Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59535/faase.v2i2.382

Abstract

The level of damage caused by an earthquake is related to the physical parameters obtained from Horizontal-to-Vertical Spectral Ratio (HVSR) analysis. The dominant frequency (f0) and wave velocity are the two HVSR parameters used. This research aims to determine the type of rock and the level of damage to buildings caused by the 2018 Lombok earthquake. We used secondary data from the 2011 Mataram City microtremor, which included 85 measurement points. We conducted frequency spectrum analysis using the HVSR method and shear wave velocity (vs) inversion modeling to gain a comprehensive understanding of Mataram City seismic properties. The Poisson ratio analysis results reveal that earthquake-prone sedimentary layers dominate Mataram City. The HVSR analysis revealed a negative correlation between the damage from the 2018 earthquake and the dominant frequency and shear wave velocity. The overlay results between the dominant frequency values, shear wave velocity, and the comparison of vp and vs with the damage level from the 2018 earthquake demonstrate this.