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All Journal BERKALA FISIKA Tadris: Jurnal keguruan dan Ilmu Tarbiyah IJOG : Indonesian Journal on Geoscience Eksplorium : Buletin Pusat Pengembangan Bahan Galian Nuklir UNEJ e-Proceeding Jurnal Fisika FLUX JLBG (Jurnal Lingkungan dan Bencana Geologi) (Journal of Environment and Geological Hazards) INDONESIAN JOURNAL OF APPLIED PHYSICS Jurnal Pengabdian Masyarakat MIPA dan Pendidikan MIPA Jurnal Meteorologi Klimatologi dan Geofisika Journal of Physics and Its Applications Jurnal Teori dan Aplikasi Fisika Jurnal Geosaintek Eksplorium : Buletin Pusat Pengembangan Bahan Galian Nuklir
Indriati Retno Palupi, Indriati Retno
Program Studi Teknik Geofisika, Fakultas Teknologi Mineral, Universitas Pembangunan Nasional “Veteran” Yogyakarta Jln. SWK 104 Condong Catur Sleman Yogyakarta
Astronomy Chemical Engineering, Chemistry & Bioengineering Earth & Planetary Sciences Education Energy Engineering Environmental Science Materials Science & Nanotechnology Mathematics Physics Social Sciences

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Ambient Noise Tomography Around The Banda Arc Study Case: Before Earthquake of February 2nd, 2022 Raharjo, Wiji; Palupi, Indriati Retno; Madona, Madona
Indonesian Journal on Geoscience Vol. 12 No. 1 (2025)
Publisher : Geological Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17014/ijog.12.1.55-63

Abstract

Banda Arc is one of the vulnerable areas in Indonesia. It is trapped by the slab coming from AustralianEurasian Plate with the S ̶ N direction and the slab coming from Pacific Plate with the E ̶ W direction. Because of its location, it has a high seismicity, for example there was an earthquake that raised a big tsunami in 1852. On February 2nd, 2022, the newest earthquake with magnitude of 6.2 hit the Banda Arc. In many cases, earthquakes are damaging disasters, because their surface waves are shocking through anything they pass. Nowadays the surface wave is used to get the subsurface description and the variation of its velocity, and ambient noise tomography (ANT) is one way to solve it. By using some analyses like cross correlation and fast fourier transform (FFT) from the earthquake waveform three days before February 2nd, 2022, the depth and velocity group around the Banda Arc can be known. There is an indication that it was influenced by the ocean wave, which became wider and close to the main shock. Besides that, ANT result shows that the low velocity anomaly was distributed around the deepest area of the Banda Arc, because the energy absorbed more there, besides in the near location of hypocenter and resulting low velocity anomaly. It is shown that the low velocity anomaly can show how the geological condition is.
School Community Disaster Resilience: Promoting Geological Disaster Preparedness among Early Childhood Education Teachers Rahma, Aldila; Rizkiyani, Fanny; Sari, Dianti Yunia; Palupi, Indriati Retno
Tadris: Jurnal Keguruan dan Ilmu Tarbiyah Vol 9 No 1 (2024): Tadris: Jurnal Keguruan dan Ilmu Tarbiyah
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/tadris.v9i1.18733

Abstract

Preparedness of all components of the school community, including teachers, is essential to build a school's resilience to disasters. This study aims to: (1) examine the geological disaster preparedness level of Early Childhood Education (ECE) teachers in Cisompet District, Garut Regency, and (2) investigate the effectiveness of education on geological disaster preparedness for ECE teachers. This descriptive quantitative study involved 86 ECE teachers recruited using convenient sampling. Data collection was carried out using a pre-test and post-test questionnaire. The results revealed that the teachers' geological disaster preparedness index was 68.94 (ready), which comprised parameters of knowledge and attitudes, emergency response plans, disaster warning systems, and resource mobilization. A geological disaster preparedness education program was conducted for ECE teachers, covering types of geological disasters, potential disasters in Cisompet District, and the establishment of disaster-safe schools. Based on the increase in the percentage of correct answers between the pre-test and post-test, the geological disaster preparedness education for ECE teachers was deemed relatively effective. However, the study found that there is no disaster warning system in either schools or community areas, despite the high disaster risk index. Follow-up activities, particularly through hands-on practice such as disaster evacuation simulations, formulating school disaster contingency plans, and developing learning innovations with disaster content for young children, are still needed.
Comparison Between Seismic Inversion and Seismic Inversion with Bayesian Inference in Acoustic Impedance Raharjo, Wiji; Palupi, Indriati Retno; Alfiani, Oktavia Dewi
Journal of Physics and Its Applications Vol 7, No 3 (2025): August 2025
Publisher : Diponegoro University Semarang Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jpa.v7i3.25867

Abstract

Finding reflection coefficient of seismic trace data is very important to be analyzed in some geological features. Reflection coefficient describes the medium of the subsurface based on Acoustic Impedance (AI) data. Model based seismic inversion is one way that can be used to find reflection coefficient of trace seismic. It needs several steps, like generating calculated trace seismic due to the original one before inversion. Unfortunately, the process is very complicated to reach a best result indicated by error value tends to be zero. While Bayesian MCMC offers the easier way, by setting mean and standard deviation values, it will generate calculated seismic trace data automatically with high similarity to the original one.  In other words, Bayesian MCMC helping the inversion process to be shorter. Finally, we have proven that Bayesian MCMC gives the better result of reflection coefficient of model based seismic inversion method.
MULTIPLE ATENUATION IN SHOT GATHER BY USING CONVOLUTIONAL NEURAL NETWORK (CNN) Raharjo, Wiji; Palupi, Indriati Retno; Alfiani, Oktavia Dewi
Jurnal Geosaintek Vol. 11 No. 2 (2025)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25023659.v11i2.5192

Abstract

Today Machine Learning is used in almost every field for human life, including geophysics. Some examples of Machine Learning utilities are classifying lithology and predict petro physical parameters based on several supported data. Especially in seismic method, Machine Learning can be used for removing or attenuate multiple from seismic image or shot gather data by using Convolutional Neural Network (CNN). It reduces the multiple from shot gather data (input) based on filtered shot gather data (called by ground truth model) as the label or target. Unfortunately, filtering process sometimes erase boundaries layer in shot gather. Then CNN works by generating several activation function in neurons and hidden layers, multiply with input data and reconcile them to labels to reinforce the boundaries. To validate the CNN result, it can be seen from L – curve as the loss function that represent the prediction error. The fewer the prediction error, the more accurate result is observed.
Subsurface S-type Granitoid Identification Based on Gravity and Seismic Tomography Models in Pacitan, East Java Soesilo, Joko; Palupi, Indriati Retno; Raharjo, Wiji; Sutanto Sutanto; Sulistyohariyanto, Faris Ahad; Ekaristi, Kevin Gardo Bangkit; Stiawan, Fandi Budi
EKSPLORIUM Vol. 39 No. 2 (2018): NOVEMBER 2018
Publisher : BRIN Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17146/eksplorium.2018.39.2.4954

Abstract

Granitoid outcrop has been observed in Montongan, Tulakan Subdistrict, Pacitan District, East Java. Geochemically, granitoid shows peralluminous S-type granitoid which consists of comparable plagioclase and potassium feldspar leading to adamelite and granodiorite variety with andalusite, fine size corundum and cordierite inside. These modal minerals are consistent with its bulk chemical analysis result that shows alumina rich rock. Highly weathered spotted pinkish soil with remaining quartz gravels characterizes its surface. Lateritic pink soil up to more than 25 meters thick covers the granitoid body and this feature is indicative to locate its surface distribution, while its subsurface distribution is remain uncertain. The research aimed to identify granitoid subsurface distribution. To identify the subsurface body, gravity and seismic tomography models were used. According gravity model, the pluton body is 5 km wide which is rootless downward and seems extends eastward. Meanwhile, the north-south seismic tomographic model across Pacitan Region indicates dense solid body override the recent Java subduction zone. The body is assumed to have correlation with surface granitic rock. It supports an idea that there is a micro continent trapped beneath Southern Mountain of East Java.
Co-Authors Afriliani M Handini Agus Santoso Ajimas Pascaning Setiohadiwibowo Alfiani, Oktavia Dewi Ananda Achlaqul Karimah Arif Nor Aminah Dianti Yunia Sari Edoarddo Tobing Ekaristi, Kevin Gardo Bangkit Eko Wibowo Faid Muhlis Fandi Budi Stiawan Fanny Rizkiyani Faris Ahad Sulistyohariyanto Fitrianingtyas, Rahmawati Giamboro, Wrego Seno Jayawarsa, A.A. Ketut Joko Soesilo Kevin Gardo Bangkit Ekaristi Madona, Madona Nela Elisa Dwiyanti Oktavia Dewi Alfiani Rahma, Aldila Risca Listyaningrum Soesilo, Joko Stiawan, Fandi Budi Sulistyohariyanto, Faris Ahad Sutanto Sutanto Sutanto Sutanto Verty Deffian Supriyono Vira Irnanda, Elleona Septi N Wiji Raharjo