Electronic Theses and Dissertation

Tsunami teluk palu tahun 2018 merupakan salah satu bencana yang kompleks karena diduga dipengaruhi oleh kombinasi aktivitas tektonik dan longsoran bawah laut (submarine landslide). penelitian ini bertujuan untuk menganalisis kestabilan lereng bawah laut, mengidentifikasi area yang berpotensi mengalami longsoran, serta mensimulasikan karakteristik tsunami yang dihasilkan akibat longsoran bawah laut di teluk palu. analisis kestabilan lereng dilakukan menggunakan perangkat lunak scoops3d dengan metode three-dimensional limit equilibrium (3d lem) berdasarkan data batimetri multibeam echosounder (mbes), parameter geoteknik sedimen, dan percepatan seismik gempa palu 2018. selanjutnya, simulasi tsunami dilakukan menggunakan cornell multi-grid coupled tsunami model (comcot) pada enam skenario longsoran yang ditentukan berdasarkan hasil analisis factor of safety (fos). hasil analisis menunjukkan enam area memiliki potensi longsoran dengan tingkat kestabilan lereng yang bervariasi, ditandai oleh distribusi nilai fos yang berbeda pada setiap lokasi. simulasi tsunami memperlihatkan bahwa setiap skenario menghasilkan karakteristik pembangkitan, waktu tiba, dan pola penjalaran gelombang yang berbeda. gelombang mulai mencapai garis pantai dalam waktu sekitar 6–14 menit setelah longsoran terjadi, kemudian menjalar hingga hampir seluruh wilayah teluk palu dalam waktu 37–60 menit, bergantung pada lokasi sumber longsoran. hasil penelitian menunjukkan bahwa integrasi analisis kestabilan lereng menggunakan scoops3d dan simulasi tsunami menggunakan comcot efektif untuk mengidentifikasi zona rawan longsor bawah laut serta mengevaluasi potensi bahaya tsunami, sehingga dapat mendukung pengembangan kajian mitigasi bencana dan sistem peringatan dini tsunami non-tektonik di indonesia. kata kunci: teluk palu, longsoran bawah laut, kestabilan lereng, factor of safety, scoops3d, comcot, tsunami.

The 2018 Palu Bay tsunami was a complex disaster that is believed to have been triggered by a combination of tectonic activity and submarine landslides. This study aims to analyze submarine slope stability, identify potential submarine landslide areas, and simulate the characteristics of tsunami waves generated by submarine landslides in Palu Bay. Slope stability analysis was conducted using Scoops3D based on the Three-Dimensional Limit Equilibrium Method (3D LEM) with Multibeam Echosounder (MBES) bathymetric data, geotechnical sediment parameters, and seismic acceleration from the 2018 Palu earthquake. Subsequently, tsunami simulations were performed using the Cornell Multi-grid Coupled Tsunami Model (COMCOT) under six landslide scenarios derived from the Factor of Safety (FoS) analysis. The results identified six potential submarine landslide areas with varying levels of slope stability, as indicated by differences in FoS values across the study area. The tsunami simulations demonstrated that each scenario produced distinct wave generation, arrival times, and propagation patterns. Tsunami waves reached the coastline approximately 6–14 minutes after the initiation of the landslide and propagated across almost the entire Palu Bay within 37–60 minutes, depending on the location of the landslide source. The findings indicate that the integration of Scoops3D and COMCOT is effective for identifying potential submarine landslide zones and evaluating tsunami hazards. This integrated approach provides valuable scientific information to support tsunami hazard assessment, disaster mitigation strategies, and the development of non-tectonic tsunami early warning systems in Indonesia. Keywords: Palu Bay, submarine landslide, slope stability, Factor of Safety, Scoops3D, COMCOT, tsunami.