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All Journal ILMU KELAUTAN: Indonesian Journal of Marine Sciences Jurnal Rekayasa elektrika
Angga Dwinovantyo
Bogor Agricultural University
Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Electrical & Electronics Engineering Energy Engineering

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Oil Spill Biodegradation by Bacteria Isolated from Jakarta Bay Marine Sediments Angga Dwinovantyo; Tri Prartono; Restya Rahmaniar; Nico Wantona Prabowo; Santi Susanti
ILMU KELAUTAN: Indonesian Journal of Marine Sciences Vol 21, No 1 (2016): Ilmu Kelautan
Publisher : Marine Science Department Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (522.69 KB) | DOI: 10.14710/ik.ijms.21.1.29-36

Abstract

A laboratory study was conducted with the aim to isolate and identify bacteria from sea sediment and test their biodegradation ability in two place where contaminated with oil spill. Five sediment samples were dissolved by using sterile sea water, and then bacteria isolated with total plate count (TPC) method. Isolates bacteria was cultivated, and adapted using the nutrient conditioned sea water medium. Biodegradation process was done by mixing the bacteria with crude oil and shaken for few days. The number of bacteria isolated varied from 2 x 102 CFU ml-1 to 6 x 106 CFU ml-1 and apparently increased after cultivation and adaptation with oily media. Bacteria identified during this study were Fundibacter sp., Alcanivorax sp., and Marinobacter sp.. The result of biodegradation process was statistically analyzed and obtained that the bacteria are effective in degrading oil in seven days with constant of biodegradation rate was 0.1766. GC-MS analysis was conducted to prove the decomposition of carbon chain by bacteria and revealed oil degradation in carbon number 11 to 27. Based on all analysis, marine sediment bacteria can degrade the oil spill. Keywords : Bacteria, Biodegradation, GC-MS, Marine Sediments, Oil spill.
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.
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.
Co-Authors Agung D. Syakti Bagas O. Siahaan Dony Apdillah Henry Munandar Manik Jales Veva Jaya Muhammad Sanubari Nico Wantona Prabowo Restya Rahmaniar Rina Fajaryanti Santi Susanti Steven Solikin Tri Prartono