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All Journal Jurnal Pendidikan, Sains, Geologi, dan Geofisika (GeoScienceEd Journal) Indonesian Journal of Environment and Disaster
Ane Arifa Ditami
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Agriculture, Biological Sciences & Forestry Chemistry Earth & Planetary Sciences Education Environmental Science Physics

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ANALISIS PERBANDINGAN METODOLOGI BNPB DAN TSVI UNTUK PENILAIAN RISIKO TSUNAMI DI ACEH JAYA, INDONESIA Vidya, Dinda Puspa; Ossy Maulita Budiawati; Ane Arifa Ditami; Riantini Virtriana
Indonesian Journal of Environment and Disaster Vol. 4 No. 2 (2025): Indonesian Journal of Environment and Disaster
Publisher : Disaster Research Center, Universitas Sebelas Maret, Surakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ijed.v4i2.2648

Abstract

COMPARATIVE ANALYSIS OF BNPB AND TSVI METHODOLOGIES FOR TSUNAMI RISK ASSESSMENT IN ACEH JAYA, INDONESIA Aceh Province is considered to be a high-risk area for tsunami susceptibility, a consequence of its geographical proximity to the Sumatra subduction zone. The objective of this study is to compare two methods of tsunami risk assessment, namely the BNPB's official Kajian Risiko Bencana (KRB) framework and the Tsunami Spatial Vulnerability Index (TSVI) method in Aceh Jaya District. The BNPB's KRB approach integrates hazard and vulnerability components using criterion-based analysis in a Geographic Information System (GIS), while the TSVI employs Spatial Principal Component Analysis (SPCA) to analyse large geospatial data, including satellite images, population grids, and economic center location points. The results demonstrate significant discrepancies in the spatial distribution of high-risk zones in the final tsunami risk map derived from each method, due to the different paradigms of susceptibility concept utilisation. The findings also shown that TSVI method can yield additional insights that are not obtained from BNPB's KRB method, concerning the primary contributors to vulnerability in the study area. This study demonstrates the potential of TSVI as a complementary tool to conventional disaster risk assessment, and emphasise the importance of integration between institutional frameworks and data-driven approaches to support more responsive and more contextualised disaster mitigation planning.
Evaluasi Model Transformasi Koordinat 3 Dimensi Menggunakan Pendekatan Helmert dan Bursa-Wolf Vidya, Dinda Puspa; Dinna Maulia; Ane Arifa Ditami; M. Nauval Irfandia Wahid; Emiliya Novitasari; Vera Sadarviana
Jurnal Pendidikan, Sains, Geologi, dan Geofisika (GeoScienceEd Journal) Vol. 6 No. 4 (2025): November
Publisher : Mataram University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/goescienceed.v6i4.1519

Abstract

Transformasi koordinat 3D adalah proses penting dalam mengubah sistem koordinat suatu objek dari satu sistem ke sistem lainnya, seperti yang sering diterapkan dalam grafika komputer, pemodelan 3D, dan pengolahan data geospasial. Penelitian ini mengevaluasi dua model transformasi populer, yaitu Helmert (7 parameter) dan Bursa-Wolf (6 parameter), serta pendekatan dengan hanya tiga parameter translasi. Fokus utama adalah mengidentifikasi blunder pada data titik sekutu menggunakan metode statistik untuk memastikan akurasi transformasi. Hasil penelitian menunjukkan bahwa model Helmert memberikan performa terbaik dengan RMSE total sebesar 0,169786 meter, mencerminkan tingkat akurasi yang tinggi dan kemampuan menangani kompleksitas transformasi. Model Bursa-Wolf juga memberikan hasil yang hampir setara, terutama untuk data tanpa perubahan skala. Sebaliknya, transformasi menggunakan tiga parameter translasi menghasilkan RMSE total sebesar 13,911066 meter, menunjukkan keterbatasan dalam menangani kebutuhan presisi tinggi. Penelitian ini menekankan pentingnya pemilihan model transformasi yang sesuai dengan kebutuhan dan kualitas data. Untuk aplikasi yang membutuhkan akurasi tinggi, seperti pemetaan geospasial atau infrastruktur, model Helmert atau Bursa-Wolf lebih direkomendasikan dibandingkan pendekatan tiga parameter translasi.
Co-Authors Dinna Maulia Emiliya Novitasari M. Nauval Irfandia Wahid Ossy Maulita Budiawati Riantini Virtriana Vera Sadarviana Vidya, Dinda Puspa