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Deteksi Sebaran Debu Vulkanik Menggunakan Citra Satelit Himawari-8 (Studi Kasus Gunung Sinabung 9 Juni 2019) Pratama, Deka Agung; Masruri, M. Fakhrul Islam; Saputro, Mahmudi Bagus; Siwi, Nanda Dewi Pamungkas; Fajarianti, Rahpeni; Margiono, Relly
Bulletin of Scientific Contribution Vol 17, No 3 (2019): Bulletin of Scientific Contribution : GEOLOGY
Publisher : Fakultas Teknik Geologi Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (761.507 KB) | DOI: 10.24198/bsc.v17i3.25582

Abstract

Letusan Gunung Sinabung yang terletak di Dataran Tinggi Karo, Sumatra Utara pada tanggal 9 Juni 2019 menyebabkan adanya kolom abu vulkanik berwarna hitam pekat dengan ketinggian mencapai ±7.000 m di atas puncak gunung. Kolom abu vulkanik itu tersebar hingga menyelimuti sekitar lima kabupaten di sekitar lokasi gunung api tersebut. Proses evakuasi perlu dilakukan untuk meminimalisir jumlah korban akibat peristiwa letusan ini. Proses evakuasi dapat dilakukan dengan mengetahui jejak persebaran dari kolom abu vulkanik. Ada beberapa cara untuk mengetahuinya, salah satu diantaranya adalah dengan menggunakan data dari citra satelit Himawari-8 yang diolah dengan memanfaatkan metode RGB (red-green-blue) untuk mengetahui dimana arah persebaran abu vulkanik berdasarkan arah gerak angin. Hasil penelitian yang dilakukan, dapat dengan baik mendeteksi pola persebaran dari kolom abu vulkanik yang terjadi. Sehingga dapat diketahui wilayah yang berpotensi terdampak dari sebaran abu vulkanik. Selain itu deteksi abu vulkanik, dapat pula dimanfaatkan oleh sektor penerbangan, dan juga mempermudah pendataan kerugian sosial-ekonomi yang timbul akibat sebaran abu vulkanik.
Analysis to Measure Resonance and Building Vulnerability Index in Southern Surabaya, East Java, Indonesia Farrizi, Achmad Salvani; Rudyanto, Ariska; Marsono, Agus; Margiono, Relly; Akbar, Dzikrullah; Ma’muri, Ma’muri
Jurnal Penelitian Pendidikan IPA Vol 11 No 6 (2025): June
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i6.10620

Abstract

Microtremor analysis was conducted in southern Surabaya, East Java, to evaluate the seismic response of buildings using the Floor Spectral Ratio (FSR) and Random Decrement Method (RDM). Two buildings—a 9-story structure (Building A) and a 10-story structure (Building B)—were analyzed to assess their dynamic behavior and vulnerability to earthquake-induced shaking. As high-rise building development continues in Surabaya, such assessments are critical for enhancing structural safety. The FSR method provided estimates of natural frequency, amplification, and vulnerability index, while the RDM method determined the damping ratio and validated the natural frequency results. The findings show that the average natural frequency of Building A is 1.18 Hz (North-South) and 1.24 Hz (East-West), while Building B has 1.18 Hz and 1.17 Hz, respectively. Damping ratios ranged from 1 to 4% for Building A and 1 to 6% for Building B, both below the 10% critical threshold. The increasing vulnerability index with height indicates greater susceptibility to seismic amplification at upper floors. These findings confirm that both buildings meet the structural standards for multi-story building, reinforcing the importance of dynamic evaluation in earthquake-prone urban areas.
MODELING OF THREE-DIMENSIONAL SUBSURFACE STRUCTURES BASED ON GRAVITY ANOMALY IN SOUTHWEST SUMBA INDONESIA Novitri, Adinda; Margiono, Relly; Pevriadi, Anggi; Zakariya, Hilmi; Segoro, Yan Adi
Indonesian Physical Review Vol. 8 No. 1 (2025)
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ipr.v8i1.388

Abstract

Modeling subsurface conditions using gravity anomaly data, focusing on density contrasts, provides critical insights into subsurface structures and supports identifying rock types. This study aims to define residual gravity anomalies in the Sumba region and utilize them to develop a three-dimensional subsurface model of Southwest Sumba, characterizing density contrasts and associated rock formations. Gravity data from the TOPEX dataset were employed in this research. The Airy isostasy model was applied to separate regional and residual anomalies, followed by a three-dimensional inversion using the Generalized Cross-Validation (GCV) method. The results reveal residual gravity anomalies range from -170 mGal to 211 mGal, with the Java Trench exhibiting the highest anomaly. The 3D modeling shows a relatively homogeneous density contrast at shallow depths, transitioning to more erratic variations at greater depths, extending to 15 km beneath Southwest Sumba Island. Furthermore, the calculated densities are consistent with the region's known geological background. The Java Trench, located south of Sumba, notably demonstrates a consistently high-density contrast from shallow to deeper depths, highlighting its tectonic complexity.