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<![CDATA[Dampak Pemutihan Karang Keras pada Komunitas Ikan Karang dan Makrozoobenthos di Wilayah Perairan Tejakula, Buleleng, Bali ]]>
<![CDATA[Faiqoh, Elok]]>;
<![CDATA[Karang, I Wayan Gede Astawa]]>;
<![CDATA[Wiyanto, Dwi Budi]]>
<![CDATA[ Rekayasa Vol 12, No 1: April 2019 ]]>
Publisher : <![CDATA[Universitas Trunojoyo Madura ]]>
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DOI: 10.21107/rekayasa.v12i1.5290
<![CDATA[ABSTRAKPemutihan karang merupakan salah satu dampak dari perubahan iklim global, kenaikan suhu tersebut memberikan dampak negatif bagi keseimbangan ekosistem terumbu karang. Terumbu karang yang memutih dan kehilangan zooxanthella nya akan rentan terkena infeksi dan penyakit. Populasi komunitas ikan karang pemakan hewan karang dan makrozoobenthos juga akan menurun. Tujuan dari penelitian ini adalah untuk mengetahui besar dampak kerusakan terumbu karang dan dampaknya bagi populasi ikan dan makrozoobenthos. Survey dilakukan pada 3 titik di wilayah perairan Tejakula dengan metode reefcheck. Hasil penelitian menunjukkan kematian terumbu karang sebesar 5-7.5%, jumlah alga yang menutupi 3.125%. Kondisi ikan kepe-kepe yang merupakan pemakan hewan karang juga sudah ditemukan dalam jumlah cukup banyak. Keberadaan ikan herbivora dan makrozoobenthos herbivore membantu mengurangi jumlah alga yang menutupi. Sedangkan keberadaan ikan pemakan terumbu karang dan ikan predator memperlihatkan bahwa sistem ekologi yang ada di terumbu karang tersebut hampir kembali normal. Kata Kunci: terumbu karang, komunitas ikan karang, makrozoobenthos.The Impact of Hard Coral Bleaching in Coral and Macrozoobenthos Fish Communities in Tejakula, Buleleng, Bali Water AreasABSTRACTCoral bleaching is one of the consequences of global climate change, as the rise of temperature negatively impacts the ecological balance of reef ecosystems. Bleached coral reefs lose their zooxanthellae, increasing vulnerability to infection and disease and consequently, causing population decline of macrozoobenthos and reef fish communities which prey on coral-consuming organisms. This research aims to determine the degree of coral reef damage and its impact on fish and macrozoobenthos population. The survey was conducted on 3 stations in Tejakula waters with the reef check method. Results show that coral reef death reaches 5-7.5%, with algal coverage of 3.125%. Kepe-kepe fish which prey on coral-consuming animals were also found in relatively high abundance. The presence of herbivore fish and macrozoobenthos help reduce algal cover. Meanwhile, the presence of coral-consuming and predator fish indicate that the coral reef ecological system has mostly returned to normal. Keywords: coral reef, reef fish community, macrozoobenthos]]>
<![CDATA[HUBUNGAN ANTAR PARAMETER STRUKTUR TEGAKAN MANGROVE DALAM ESTIMASI SIMPANAN KARBON ABOVEGROUND PADA SKALA KOMUNITAS ]]>
<![CDATA[Eka Andiani, Anak Agung]]>;
<![CDATA[I Wayan Gede Astawa Karang]]>;
<![CDATA[I Nyoman Giri Putra]]>;
<![CDATA[I Wayan Eka Dharmawan]]>
<![CDATA[ Jurnal Ilmu dan Teknologi Kelautan Tropis Vol. 13 No. 3 (2021): Jurnal Ilmu dan Teknologi Kelautan Tropis ]]>
Publisher : <![CDATA[Department of Marine Science and Technology, Faculty of Fisheries and Marine Science, IPB University ]]>
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DOI: 10.29244/jitkt.v13i3.36363
<![CDATA[Mangrove merupakan ekosistem pesisir yang memiliki kemampuan sangat baik dalam menyerap dan menyimpan karbon. Struktur tegakan mangrove memberikan kontribusi signifikan terhadap estimasi simpanan karbon yang umumnya tergambarkan pada persamaan alometrik dalam skala individu. Penelitian simpanan karbon atas permukaan tanah (abovegroundada komunitas mangrove telah dilakukan di mangrove Teluk Benoa. Penelitian ini bertujuan untuk membangun model dalam mengestimasi simpanan karbon aboveground dari beberapa parameter struktur tegakan mangrove. Metode stratified purposive sampling digunakan dalam penentuan sebaran titik penelitian. Sebanyak tiga zona (1–3) diidentifikasi berdasarkan interpretasi analisis mRE-SR (modified red edge-simple ratio) dan jenis mangrove yang mendominasi. Estimasi simpanan karbon aboveground diperoleh dengan metode non-destructive menggunakan persamaan common allometric. Hasil penelitian menunjukkan struktur tegakan mangrove zona 1 cenderung berbeda signifikan dengan zona lainnya. Secara keseluruhan, rata-rata simpanan karbon aboveground sebesar 193,45±34,88 ton C/ha. Simpanan karbon aboveground tertinggi ditemukan pada zona 1 yang didominasi jenis Sonneratia alba. Analisis regresi linear dan Akaike’s Information Criterion (AIC) menunjukkan bahwa kombinasi dari tutupan kanopi, kerapatan pohon, kerapatan pancang dan diameter pohon menjadi model terbaik dalam mengestimasi simpanan karbon pada skala komunitas. Model kombinasi ini memiliki nilai koefisien regresi tertinggi dan nilai root mean squared error (RMSE) terendah dibandingkan dengan model lainnya. Hasil penelitian diharapkan dapat digunakan dalam mengestimasi simpanan karbon secara lebih efisien dan akurat dalam skala komunitas.]]>
<![CDATA[Landsat 8 Observation of the Internal Solitary Waves in the Lombok Strait ]]>
<![CDATA[I Wayan Gede Astawa Karang]]>;
<![CDATA[Chonnaniyah Chonnaniyah]]>;
<![CDATA[Takahiro Osawa]]>
<![CDATA[ Indonesian Journal of Geography Vol 51, No 3 (2019): Indonesian Journal of Geography ]]>
Publisher : <![CDATA[Faculty of Geography, Universitas Gadjah Mada ]]>
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DOI: 10.22146/ijg.42655
<![CDATA[Landsat 8, Landsat Data Continuity Mission (LDCM) satellite, was launched on 11 February 2013 with Operation Land Imager (OLI) sensors. Tis sensor has better radiometric performance than the previous mission, which is quantized in the 12-bit dynamic range due to an increase in the signal-to-noise (SNR) ratio. In this analysis, the spatio-temporal distribution of the propagation of the internal solitary wave (ISW) in the Lombok Strait was extracted from the Landsat 8 images described for the first time. Tere were 14 ISW events studied for period 2014 - 2015 using Landsat 8. Te manifestations of ISW recorded on Landsat 8 images were then extracted using digitization method to investigate and measure several parameters and ISW distribution in the Lombok Strait. Te estimation results of the average ISW phase velocity in this study are 2.05 ms-1 with the direction of propagation heading north at an average angle of 19.08°. Tis study has shown that Landsat 8 can be used to monitor and analyze several internal wave parameters in the ocean.]]>
<![CDATA[Analisis Perubahan Garis Pantai dengan Menggunakan Metode One-Line Model (Studi Kasus: Pantai Kecamatan Kuta, Bali) ]]>
<![CDATA[Naila Makfiya]]>;
<![CDATA[IGB Siladharma]]>;
<![CDATA[I Wayan Gede Astawa Karang]]>
<![CDATA[ Journal of Marine and Aquatic Sciences Vol 6 No 2 (2020) ]]>
Publisher : <![CDATA[Fakultas Kelautan dan Perikanan Universitas Udayana ]]>
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DOI: 10.24843/jmas.2020.v06.i02.p6
<![CDATA[Construction along the coastline has impacts and threats to coastal areas. Incompatibility and deficiency in building construction along the coast can be detected by observing shoreline changes that happen before and after construction. Along with technology advances and science, coastline change can be detected by using numerical modeling. Beach in Kuta District in the Bali Province is a tourist destination that has a coastal erosion problem. Analysis of shoreline changes at the study location is estimated by using numerical simulations (one-line model) to find out the coastline changes that happen on Kuta District for 25 years after the construction of beach protector and sand nourishment. The results of numerical modeling shoreline changes in all study locations over 25 years show an erosion and accretion with the amount of erosion change rates ranging from 1 to 2 meters per year. The analysis coastline change in Kuta District shows that the changes are classified as moderate to large, on the beaches in the north of Kuta Village such as on the beach of Legian Village and beach of Seminyak Village which did not have protection or beach protector such as the German Beach and the Kuta Beach with breakwater, groyne, revetments or handling erosion with sand nourishment.]]>
<![CDATA[Aplikasi Sistem Informasi Geografis (SIG) dan Penginderaan Jauh untuk Pemetaan Daerah Penangkapan Ikan Tuna Mata Besar di Selatan Jawa dan Bali ]]>
<![CDATA[Kadek Bagus Padmaningrat]]>;
<![CDATA[I Wayan Gede Astawa Karang]]>;
<![CDATA[Abd. Rahman As-syakur]]>
<![CDATA[ Journal of Marine and Aquatic Sciences Vol 3 No 1 (2017) ]]>
Publisher : <![CDATA[Fakultas Kelautan dan Perikanan Universitas Udayana ]]>
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DOI: 10.24843/jmas.2017.v3.i01.70-83
<![CDATA[Bigeye tuna is the dominant species of tuna caught in the territorial waters of the Indian Ocean and a productive tropical species which accounts for more than 10% of the total catch in the whole world. Distribution of bigeye tuna can be predicted through optimum temperature associated with the presence of bigeye tuna and distribution of chlorophyll-a is associated with the presence of small pelagic fish. The distribution of sea surface temperature and chlorophyll-a can be detected through remote sensing systems. The purpose of this study was to determine the relationship between sea surface temperature and chlorophyll-a by the number of bigeye tuna catches in the waters south of Java and Bali, and mapped the area catching bigeye tuna in the waters south of Java and Bali. The method used is a second order polynomial regression analysis to determine the effect of sea surface temperature and chlorophyll-a by the number of bigeye tuna catches as well as correlation analysis to determine the relationship of sea surface temperature and chlorophyll-a by the number of bigeye tuna catches. Sea surface temperature and chlorophyll-a is related to the number of bigeye tuna catches. The results of the analysis showed a strong relationship between sea surface temperature and chlorophyll-a by the number of bigeye tuna catches. Bigeye tuna fishing grounds in the waters south of Java and Bali are in a position 12oS-15oS and 106°E-118°E.]]>
<![CDATA[Tingkat Pencemaran Berdasarkan Saprobitas Plankton di Perairan Pelabuhan Benoa, Kota Denpasar, Provinsi Bali ]]>
<![CDATA[Ni Putu Eva Damayanti]]>;
<![CDATA[I Wayan Gede Astawa Karang]]>;
<![CDATA[Elok Faiqoh]]>
<![CDATA[ Journal of Marine and Aquatic Sciences Vol 4 No 1 (2018) ]]>
Publisher : <![CDATA[Fakultas Kelautan dan Perikanan Universitas Udayana ]]>
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DOI: 10.24843/jmas.2018.v4.i01.96-108
<![CDATA[Plankton is organism that susceptible to environmental changes that used as indicator of environmental pollution by saprobic index because plankton has important role in affecting the water primary productivity. The research about plankton saprobic in Benoa Harbour is never done before. The aim of this research is to explain the structure of community and the level of plankton saprobic at Benoa Harbour. This research using random sampling method for determine the station. The result explained that there was 17 species of plankton in the waters of Benoa Harbor from two classes such as Bacillariophyceae, Dinophyceae on phytoplankton and from five classes such as Magnoliopsida, Malacostraca, Maxillopoda, Globothalamea and Hexanauplia on zooplankton. The total abundance of plankton ranges from 1.117.172 Individual / Liter- 1.626.163 Individual / Liter. The zooplankton diversity index in the waters of Benoa Harbor ranges from 1.06 to 1.58 and phytoplankton ranges from 1.02 to 155. This indicates that the value of diversity in all observation stations is categorized into low biodiversity. Zooplankton evenness index value in the waters of Benoa Harbor ranged from 0.73-0.88 and phytoplankton ranged from 0.71-0.96. This indicates that the index of evenness is relatively high. The dominant value of zooplankton in the waters of Benoa Harbor ranges from 0.24-0.43 and phytoplankton ranged from 0.22-0.41. This indicates that the dominance is relatively low. Saprobik Index (SI) value ranges from 1.0-1.6 and Tropic Saprobic Index (TSI) ranges from 1.76-1.96. This indicates that the waters of Benoa Harbour is categorized mild contaminated conditions until not contaminated.]]>
<![CDATA[Hubungan Hasil Tangkapan Ikan Tuna Selama Februari-Maret 2016 dengan Konsentrasi Klorofil-a dan SPL dari Data Penginderaan Jauh Di Perairan Selatan Jawa – Bali ]]>
<![CDATA[I Made Ekayana]]>;
<![CDATA[I Wayan Gede Astawa Karang]]>;
<![CDATA[Abd. Rahman As-syakur]]>;
<![CDATA[Irwan Jatmiko]]>;
<![CDATA[Dian Novianto]]>
<![CDATA[ Journal of Marine and Aquatic Sciences Vol 3 No 1 (2017) ]]>
Publisher : <![CDATA[Fakultas Kelautan dan Perikanan Universitas Udayana ]]>
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DOI: 10.24843/jmas.2017.v3.i01.19-29
<![CDATA[Indonesia waters are fertile waters marked by the existence of Regional Fisheries Management (WPP), one of them is WPP 573 in Southern Java. One of the biggest fish catch sectors in Indonesia is tuna fisheries. Distribution of tuna in Indonesia waters affected by Sea Surface Temperature (SST) and chlorophyll-a. The aims of this study is to analyze the distribution of chlorophyll-a and SST in the water of South Java - Bali using AQUA MODIS satellite through data in-situ, to know the accuracy of SST Ground Truth and SST imagery satellite and to find the relationship between chlorophyll-a and SST with catches tuna in the water of South Java - Bali. SST data and chlorophyll-a were obtained through remote sensing technology and the catches of tuna was obtained by in-situ. The methods used were polynomial regression analysis, regression linear analysis and correlation analysis to determine the relationship of these parameters, found strong correlation between SST Ground Truth and SST imagery satellite R= 0,61. The distribution of oceanographic parameters (SST and chlorophyll-a) in the water of South Java - Bali seemed volatile and these condition also seemed less affected catches of tuna. Found low inverse correlation SST with catches of tuna amounted to R = -0.34 and low correlation with the chlorophyll-a with catches of tuna amounted to R = 0.28.]]>
<![CDATA[Model Hidrodinamika Pasang Surut di Perairan Pesisir Barat Kabupaten Badung, Bali ]]>
<![CDATA[Made Narayana Adibhusana]]>;
<![CDATA[I Gede Hendrawan]]>;
<![CDATA[I Wayan Gede Astawa Karang]]>
<![CDATA[ Journal of Marine and Aquatic Sciences Vol 2 No 2 (2016) ]]>
Publisher : <![CDATA[Fakultas Kelautan dan Perikanan Universitas Udayana ]]>
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DOI: 10.24843/jmas.2016.v2.i02.54-59
<![CDATA[Finite Volume Coastal Ocean Model (FVCOM) is using for numerical modeling of hydrodynamic tidal water in west coast of Badung regency, Bali. The model result is validation with field observations data in the area using the equation Root Mean Square Error (RMSE). Field tidal data elevation of sea level elevation measurements were obtained by using the palm of tidal. Field data speed and direction of sea currents obtained using Lagrangian method. Excellent results obtained with RMSE values tidal elevation of sea level by 0.24 m dan RMSE values for sea current is 0.125 m/s. The results of model simulations show sea current patterns in the waters of the west coast of Badung regency, Bali relatively the same at the spring tide and neap tide conditions. The pattern of sea currents at high tide shows current vector that moves in toward the water of the west coast of Badung regency area from Bali Strait and the Indian Ocean. At the time of low tide sea current vector movement towards Bali Strait and the India Ocean. Sea current velocity in the eastern waters of the west coast of Badung regency (longitude of 115,05°– 115,17°) is higher than the sea current velocity in western waters area (longitude of 114,95°– 115,05°). Sea current velocity in the waters of the west coast of Badung regency on the condition of the spring tide range from 0.005 to 0.025 m/s, on the other side the sea current velocity on the neap tide conditions range from 0.005 to 0.012 m/s.]]>
<![CDATA[Optimalisasi Biomassa Alga Hijau Ulva sp. Sebagai Biosorben Logam Berat Cr(VI) ]]>
<![CDATA[Anisa Dea Novianti]]>;
<![CDATA[I Wayan Gede Astawa Karang]]>;
<![CDATA[I Nyoman Giri Putra]]>
<![CDATA[ Journal of Marine and Aquatic Sciences Vol 6 No 1 (2020) ]]>
Publisher : <![CDATA[Fakultas Kelautan dan Perikanan Universitas Udayana ]]>
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DOI: 10.24843/jmas.2020.v06.i01.p15
<![CDATA[Heavy metals are dangerous pollutants because it can’t be degraded by organism or can’t accumulated in environment. Heavy metals can settles at the bottom of the waters. One of the dangerous heavy metals is Hexavalent Chromium or Cr(VI). Research on reducing heavy metal pollution is important, there are many methods that can be use to reduce heavy metal. Biosorption one of the methods which is effective and efficient for reducing heavy metal pollution because the biomaterials or biosorbent used is able to absorb metals. The purpose of this research was to determine the optimum conditions for green algae which is Ulva sp. to adsorb Cr(VI) metal ions. Utilization of algae Ulva sp. as a biosorbent can help to reduce ecological problems due to algae that can bloom and also it can minimize pollution of heavy metals Cr(VI). Based on the results of the research the optimum conditions for biosorption of Cr(VI) by Ulva sp. influenced by several parameters such as pH, biosorbent dosem initial Cr(VI) concentration and contact time. In this research the most optimal conditions for the biosorpstion of Cr(VI) using Ulva sp. as a biosorbent is at pH 2, the mass of biosorbent 10 gr, initial concentration of Cr(VI) 4 mg/L for 90 minutes. The maximum efficiencies of Cr(VI) removal was 98,88% and capacity for absorb was 0,093 mg/g.]]>
<![CDATA[Perbandingan Kemampuan Satelit SAR, Optik dan Kombinasi SAR & Optik Untuk Mendeteksi Area Mangrove di Teluk Benoa ]]>
<![CDATA[I Wayan Matsya Deva Nagendra]]>;
<![CDATA[I Wayan Gede Astawa Karang]]>;
<![CDATA[Ni Luh Putu Ria Puspitha]]>
<![CDATA[ Journal of Marine and Aquatic Sciences Vol 5 No 2 (2019) ]]>
Publisher : <![CDATA[Fakultas Kelautan dan Perikanan Universitas Udayana ]]>
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DOI: 10.24843/jmas.2019.v05.i02.p14
<![CDATA[Mangrove in Benoa Bay plays important roles in the southern Bali island. Mangrove habitat in Benoa Bay has undergone in area changes due to various anthropogenic activities and natural factors, it is important to monitor the distribution of the mangrove forests. Mangrove area changes can be detected using remote sensing technology. This research is to aims the capabilities of radar and optical satellites in mangroves detection using supervised classification Maximum likelihood & Minimum distance. The results showed that radar images failed to detect mangroves as a separate class and produced three classes of land cover (urban, vegetation and waters), optical images and a combination of radar & optic images capable of detecting mangroves as a separate class and produce five land cover class (vegetation other, urban, mangroves, waters and agriculture). The evaluation of the Maximum likelihood classification shows that the combination of radar & optical images scenario has the highest overall accuracy and kappa accuracy with value of 91.35% and 87.01% respectively. Minimum distance classification shows that the optical image scenario has the highest accuracy and highest kappa accuracy with value of 80.83% and 72.51%. The results of the accuracy evaluation shown that the maximum likelihood has higher accuracy than the minimum distance classification method.]]>
