Identifikasi Reruntuhan Dermaga pada Dasar Laut Menggunakan Sub-Bottom Profiler dan Side Scan Sonar (Studi Kasus: Pelabuhan Khusus PT. Holcim, Tuban)

Rahmania, Syafiqoh (2020) Identifikasi Reruntuhan Dermaga pada Dasar Laut Menggunakan Sub-Bottom Profiler dan Side Scan Sonar (Studi Kasus: Pelabuhan Khusus PT. Holcim, Tuban). Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Pada bulan Januari 2019, dermaga pada Pelabuhan Khusus PT. Holcim runtuh sepanjang 200 m akibat kapal tongkang bermuatan batu bara menabrak dermaga tersebut. Reruntuhan dermaga yang jatuh ke dasar laut dibersihkan untuk keperluan pembangunan dermaga baru pada lokasi yang sama. Namun, masih ditemukan sisa reruntuhan dermaga pada dasar laut yang menghalangi proses pembangunan dermaga baru. Oleh karena itu, perlu dilakukan pengecekan dasar laut untuk mengetahui posisi reruntuhan dermaga yang masih berada pada dasar laut. Selain untuk mengetahui posisi runtuhan, pengecekan dasar laut juga bertujuan untuk mengidentifikasi ketebalan dan luasan dari runtuhan tersebut. Pada penelitian ini, pengukuran dimensi reruntuhan dermaga dilakukan dengan survei hidrografi menggunakan side-scan sonar (SSS) dan survei seismik menggunakan sub-bottom profiler (SBP). Data SBP digunakan untuk pengukuran ketebalan runtuhan dermaga, sedangkan data SSS digunakan untuk menganalisis pola persebaran runtuhan dermaga serta menghitung luasan dari runtuhan tersebut. Berdasarkan hasil pengolahan dan analisis, didapatkan model sebaran reruntuhan dermaga dengan total luas runtuhan sebesar 1.668 m². Ditemukan sebanyak 49 reruntuhan dermaga di atas permukaan dasar laut dengan ketebalan rata-rata 0,8 m. Selain itu juga ditemukan reruntuhan dermaga di bawah permukaan dasar laut sebanyak 14 runtuhan dengan ketebalan rata-rata 1,25 m. Data yang dihasilkan dari SBP maupun SSS keduanya menunjukkan reruntuhan dermaga mayoritas terdapat pada bagian tengah serta sisi barat dermaga. Kata kunci: Side Scan Sonar, Sub-Bottom Profiler, runtuhan dermaga =================================================================================================== In January 2019, the jetty at Holcim Private Port collapsed along the 200 m due to coal-loaded barges crashing into the jetty. The ruins of the jetty that fell to the seabed were cleaned for the purposes of building a new jetty at the same location. However, still found the rest of the jetty ruins on the seabed that obstruct the process of building a new jetty. Therefore, it is necessary to check the the seabed to determine the position of the jetty ruins that are still on the seabed. In addition to knowing the position of the collapse, checking the seabed also aims to identify the thickness and extent of the collapse. In this study, measurement of the dimensions of the jetty ruins were carried out by hydrographic survey using a side-scan sonar (SSS) and seismic survey using a sub-bottom profiler (SBP). SBP data is used to measure the thickness of the jetty ruins, while the SSS data are used to analyze the distribution pattern of jetty ruins and calculate the extent of the collapse. Based on the results of processing and analysis, obtained a model of the distribution of jetty ruins with a total collapse area of 1,668 m². There were 49 jetty ruins on the seabed with an average thickness of 0.8 m. In addition, there were also 14 ruins of the jetty beneath the seabed, with an average thickness of 1.25 m. Data generated from SBP and SSS both show that the majority of the jetty ruins are found in the center and the west side of the pier. Keywords: Side Scan Sonar, Sub-Bottom Profiler, Jetty Ruins

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Side Scan Sonar, Sub-Bottom Profiler, runtuhan dermaga, Side Scan Sonar, Sub-Bottom Profiler, Jetty Ruins
Subjects: Q Science > QC Physics > QC221 Acoustics. Sound
Q Science > QE Geology > QE539.2.S4 Seismic models
Divisions: Faculty of Civil Engineering and Planning > Geomatics Engineering > 29202-(S1) Undergraduate Thesis
Depositing User: Syafiqoh Rahmania
Date Deposited: 12 Aug 2020 03:43
Last Modified: 12 Aug 2020 03:43
URI: https://repository.its.ac.id/id/eprint/77742

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