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All Journal Teknika: Jurnal Sains dan Teknologi Journal of Science and Applicative Technology Syntax Idea CSID Journal of Infrastructure Development (CSID-JID) Journal of Sciencce Technology and Visual Culture
Hendra Achiari
Fakultas Teknik Sipil dan Lingkungan, Institut Teknologi Bandung
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Social Sciences

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Journal : journal of science and applicative technology

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Analisis Regresi Pada Tren Perubahan Garis Pantai di Pantai Krui dari Digitasi Citra Landsat Satriyo Panalaran; Trika Agnestasia Br Tarigan; Hendra Achiari
Journal of Science and Applicative Technology Vol 3 No 1 (2019): Journal of Science and Applicative Technology August Chapter
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM), Institut Teknologi Sumatera, Lampung Selatan, Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2095.301 KB) | DOI: 10.35472/jsat.v3i1.199

Abstract

Krui is a capital of Pesisir Barat Regency of Lampung Province which has important values on residential areas, business centers, government centers, and tourism destination. Kruis coast is adjacent to the Indian Ocean, which has the high wave characteristic cause the dynamic coastal process similarly to other sandy beaches on the west coast of Sumatera Island. The coastal process can be shown in the form of either coastline accretion due to sedimentation or shoreline reduction caused by the phenomenon of erosion and abrasion. The coastal process can be observed as a natural process to achieve an equilibrium of sediment transport along the coast. Also, Shoreline change is influenced by the height waves and the direction of incoming waves towards onshore depending on the season. The aims of this study is to get an overview of the shoreline changes that occur on the Krui Coast. Then it can be predicted the position of the coastline in the future. The regression model was chosen to estimate the position of shoreline in the future by utilizing a set of time-series data that refers to shoreline change within certain periods. Digitized Landsat-7 ETM+ satellite imagery is conducted in order to obtain shoreline position data in every year determinate as historical data. Based on this study, the rate of shoreline change in Krui Coast is within range of 0,12 meters/year to 41,35 meters/year, where is the shoreline change tends to increase. Keywords: Digitization, Landsat, Shoreline, Regression
Towards Comprehensive Tsunami Mitigation Study: a Case of Legundi Island Elsa Rizkiya Kencana; Mustarakh Gelfi; Hendra Achiari
Journal of Science and Applicative Technology Vol 5 No 2 (2021): Journal of Science and Applicative Technology December Chapter
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM), Institut Teknologi Sumatera, Lampung Selatan, Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35472/jsat.v5i2.408

Abstract

Sunda Strait Tsunami happened in December 2018 due to a flank collapsed of Mount of Anak Krakatoa. Lampung Province was affected by Sunda Strait Tsunami at various locations that close to Mount of Anak Krakatoa. The research is conducted to modelling the tsunami wave that happened at Legundi Island in 1D model using SwanOne software. The methodology of the research is using data input from bathymetric survey and apply the wave transformation equations in the nearshore using SwanOne software to do the 1D model. There are four scenarios to do the wave modelling. All scenarios consider from former study about Sunda Strait Tsunami 2018. The results from all scenarios are verified by prior research from Takabatake (2019) of inundation height in Legundi Island, it is 3,34 m. The result shows the inundation height from wave modelling is a combination of wave height (1,533 m), water depth (1,658 m) and wave setup (0,215 m), and the outcome is 3,406 m. The model shows a fine result because the percentage error of the model is only 0,769%, which is below 5%. This research can be a good approach for another wave modelling in other locations and also to do further research to wave modelling in 2D model.
Co-Authors Ahmad, Ayu Libiaty Anita Fitriani Anita Fitriani Dede M Sulaiman Elsa Rizkiya Kencana Gelfi, Mustarakh Gurusu Gurusu Nurhayati Nurhayati Nurhayati Nurhayati Pebnaldy Pebnaldy Pebnaldy, Pebnaldy Satriyo Panalaran Trika Agnestasia Br Tarigan