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Autonomous Underwater Vehicle untuk Survei dan Pemantauan Laut Henry M. Manik; Agung D. Syakti; Jales Veva Jaya; Dony Apdillah; Steven Solikin; Angga Dwinovantyo; Rina Fajaryanti; Bagas O. Siahaan; Muhammad Sanubari
Jurnal Rekayasa Elektrika Vol 13, No 1 (2017)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1408.03 KB) | DOI: 10.17529/jre.v13i1.5964

Abstract

AUV is an unmanned submersible platform to accomplish a mission. Side-scan sonar, Conductivity Temperature Depth (CTD), and underwater video camera are usually attached on AUV. These sensors were used for identifying seawater and seabed condition. Data acquired from a survey with an AUV in Kepulauan Riau processed by Neptus software. Side-scan sonar (SSS) visualization is compared to the video image. SSS signal visualization has a unique pattern that can be identified within the video image. Different substrate structure caused different signal visualization.  The relation between the video image and SSS visualization can be used for identifying habitat benthic profile.
Pemrosesan Sinyal Data Sub-bottom Profiler Substrat Dasar Perairan Selat Lembeh Steven Solikin; Henry M. Manik; Sri Pujiyati; Susilohadi Susilohadi
Jurnal Rekayasa Elektrika Vol 13, No 1 (2017)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2591.369 KB) | DOI: 10.17529/jre.v13i1.6060

Abstract

An accurate mapping of ocean seabed is needed to answer the challenges faced by the marine scientist today. Sub-bottom profiler present as one of the acoustics system which used to describe the sediment layer profile of the ocean bottom, as well as the thickness of the layer and the stratigraphy. The purpose of this research is to describe the 2D profile and to determine the value of the reflection coefficient of the sediment layers in Lembeh Strait, North Sulawesi. The reflection coefficient is necessary to be analyzed related to the seabed sediment grain size and type. The data acquisition carried out using Syqwest Stratabox sub-bottom profiler with the frequency of 10 kHz. FFT signal processing and bandpass filter are applied to relieve noise from main signals as well as to get better results. The results of data processing show that seafloor sediments have a value of the surface reflection coefficients which ranged between 0.1168 until 0.7938 with type iron smooth sand.
Autonomous Underwater Vehicle untuk Survei dan Pemantauan Laut Henry M. Manik; Agung D. Syakti; Jales Veva Jaya; Dony Apdillah; Steven Solikin; Angga Dwinovantyo; Rina Fajaryanti; Bagas O. Siahaan; Muhammad Sanubari
Jurnal Rekayasa Elektrika Vol 13, No 1 (2017)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v13i1.5964

Abstract

AUV is an unmanned submersible platform to accomplish a mission. Side-scan sonar, Conductivity Temperature Depth (CTD), and underwater video camera are usually attached on AUV. These sensors were used for identifying seawater and seabed condition. Data acquired from a survey with an AUV in Kepulauan Riau processed by Neptus software. Side-scan sonar (SSS) visualization is compared to the video image. SSS signal visualization has a unique pattern that can be identified within the video image. Different substrate structure caused different signal visualization.  The relation between the video image and SSS visualization can be used for identifying habitat benthic profile.
Pemrosesan Sinyal Data Sub-bottom Profiler Substrat Dasar Perairan Selat Lembeh Steven Solikin; Henry M. Manik; Sri Pujiyati; Susilohadi Susilohadi
Jurnal Rekayasa Elektrika Vol 13, No 1 (2017)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v13i1.6060

Abstract

An accurate mapping of ocean seabed is needed to answer the challenges faced by the marine scientist today. Sub-bottom profiler present as one of the acoustics system which used to describe the sediment layer profile of the ocean bottom, as well as the thickness of the layer and the stratigraphy. The purpose of this research is to describe the 2D profile and to determine the value of the reflection coefficient of the sediment layers in Lembeh Strait, North Sulawesi. The reflection coefficient is necessary to be analyzed related to the seabed sediment grain size and type. The data acquisition carried out using Syqwest Stratabox sub-bottom profiler with the frequency of 10 kHz. FFT signal processing and bandpass filter are applied to relieve noise from main signals as well as to get better results. The results of data processing show that seafloor sediments have a value of the surface reflection coefficients which ranged between 0.1168 until 0.7938 with type iron smooth sand.