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All Journal Jurnal Fisika Unand International Journal of Research in Community Services
Kuncoro, Alvina Kusumadewi
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Earth & Planetary Sciences Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Materials Science & Nanotechnology Physics Social Sciences Other

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Analisis Pengaruh Prisma Akresi dan Patahan Splay terhadap Deformasi Permukaan akibat Gempa Mentawai 2010 melalui Pemodelan Numerik 3D Kuncoro, Alvina Kusumadewi; Srigutomo, Wahyu; Fauzi, Umar
Jurnal Fisika Unand Vol 14 No 4 (2025)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jfu.14.4.346-352.2025

Abstract

The Southern Mentawai Segment is located in the Sumatra Subduction Zone, which is part of the accretionary wedge. The accretionary wedge is the most complex tectonic structure in the world within its material and geometrical structure. The 2010 South Mentawai earthquake, with magnitude Mw~7.8, was accompanied by a tsunami that was larger than expected for its magnitude, classifying it as a tsunami earthquake. This study analyze the effect of the accretionary wedge and faults in the South Mentawai Segment on surface deformation using 3D finite element modeling. The geometric model was constructed in four configurations: a model without an accretionary wedge, a model without an accretionary wedge but with splay fault, a model with an accretionary wedge, and a model with both accretionary wedge and splay fault. The results indicate that the model with the accretionary wedge aligns better to the data observed at GPS stations, particularly for the vertical deformation. The presence of splay faults in the model increases the vertical deformation by up to twice, both for the model with and without the accretionary wedge. A better understanding of the subsurface structure enables more precise identification of areas with potential earthquake-triggered tsunamis and more accurate surface deformation estimation.
Identification of Students’ Comprehension of Radiation Concept Using Rasch Analysis Bilqis, Ayesha; Nurhanivah, Devi; Ramdhani, Saumi Zikriani; Taufani, Muhammad Rizka; Aminudin, Adam Hadiana; Kuncoro, Alvina Kusumadewi; Syamsiah, Endah Nur; Ulya, Naily; Aningsih, Sri
International Journal of Research in Community Services Vol. 5 No. 3 (2024)
Publisher : Research Collaboration Community (Rescollacom)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijrcs.v5i3.713

Abstract

This community service was conducted using a survey method. The survey aimed to test the understanding of high school students regarding the dangers of radiation exposure from the surrounding environment. Participants in this activity were 48 students (35 science students and 13 social science students) from a high school in Majalaya, Bandung Regency. The instrument used was a two-tier diagnostic test consisting of 4 essay questions related to physics concepts concerning radiation exposure. The analysis of the test results was divided into two parts: conception analysis and Rasch analysis. The conception analysis was done by interpreting students' answers and categorizing them into five conception categories: Full Understanding (FU), Partial Understanding (PU), Misconception (MC), Not Understanding (NU), and No Coding (NC). This categorization was presented in percentage form. The Rasch analysis was conducted based on the distribution of students' answers and item bias detection to identify the spread of students' answers to each question item and the biases present. First, the conception analysis results showed that 53% of students were included in the FU category, while only 5% were in the Not Understanding (NU) category. This indicates that students' understanding of the dangers of radiation exposure is quite good, as more than half of the participants are in the FU category. Second, the Rasch analysis results based on the distribution of students' answers showed that more students could answer basic comprehension questions compared to classification and analysis-based questions. Additionally, the Rasch analysis results based on item bias detection indicated that there was no gender or academic major bias in the four question items.
Co-Authors Aminudin, Adam Hadiana Aningsih, Sri Bilqis, Ayesha Nurhanivah, Devi Ramdhani, Saumi Zikriani Syamsiah, Endah Nur Taufani, Muhammad Rizka Ulya, Naily UMAR FAUZI Wahyu Srigutomo