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All Journal Asean Journal of Science and Engineering (AJSE) Jurnal Pendidikan Islam
Nabila, Meutia Aisyah
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Religion Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Engineering Materials Science & Nanotechnology Social Sciences Other

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Role of Coastal Vegetation Belts in Mitigating Tsunami Waves: Bibliometric Analysis, Numerical, and Spatial Analysis Usman, Fadly; Murakami, Keisuke; Wijatmiko, Indradi; Rokman, Mauhibur; Nabila, Meutia Aisyah
ASEAN Journal of Science and Engineering Vol 5, No 1 (2025): (ONLINE FIRST) AJSE: March 2025
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/ajse.v5i1.80281

Abstract

Tsunami is a catastrophic natural disaster that is difficult to predict and often results in significant loss of life and property damage. This study examines the role of coastal vegetation belts in mitigating tsunami wave impacts through numerical and spatial analyses. This study also used bibliometric analysis to support the discussion. Numerical simulations using CADMAS Surf 2D were conducted for various scenarios to assess the effect of vegetation belts on wave speed and height. Spatial analysis using ArcGIS was employed to map tsunami-affected areas, and grid-cell analysis was used to calculate the volume of water entering inland areas during a tsunami event. The results demonstrate that vegetation belts with specific thicknesses and densities significantly reduce wave speed and height, thereby mitigating tsunami energy as it approaches land. These findings emphasize the critical role of vegetation belts in coastal management strategies. Future research should explore integrating natural barriers with artificial infrastructure, such as embankments, to provide comprehensive protection against tsunami impacts.
The Role and Threats of Using ChatGPT in Higher Education: Balancing Pedagogical Potential and Ethical Risks Mulianah, Baiq; Usman, Fadly; Rokhman, Mauhibur; Fatikh, M. Alfin; Andriana, Isni; Nabila, Meutia Aisyah; Nur Kholis, Mohammad Maulana
Nazhruna: Jurnal Pendidikan Islam Vol. 8 No. 3 (2025): Transformative Islamic Education
Publisher : Universitas Pesantren Kh abdul Chalim Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31538/nzh.v8i3.218

Abstract

The increasing use of generative AI tools in education highlights the need to understand how they can be effectively integrated into university-level teaching and learning. Although these tools offer great promise, the absence of a transparent and ethical framework for their implementation poses real challenges in aligning them with curriculum goals. AI technologies, such as ChatGPT, have already begun to reshape the way students learn, particularly in higher education settings. This research examines how students utilize ChatGPT for academic purposes, including studying, research, and learning activities. Using a quantitative approach, the study identifies usage trends and finds that students generally feel confident using ChatGPT, with many reporting improved engagement and productivity. The lack of regulated ethical standards for ChatGPT use and lecturer interventions prohibiting irresponsible use also impact the widespread use of ChatGPT in higher education settings. This study used quantitative data analysis involving 415 students from four universities: KH Abdul Chalim University, Brawijaya University, Sriwijaya University, and Gadjah Mada University. This research examines the benefits, challenges, and ethical considerations of utilising AI-based software in academic settings, particularly in higher education.
Co-Authors Andriana, Isni Baiq Mulianah Fadly Usman Fatikh, M. Alfin Indradi Wijatmiko Keisuke Murakami Nur Kholis, Mohammad Maulana Rokhman, Mauhibur Rokman, Mauhibur