APLIKASI SIG UNTUK ANALISIS KESESUAIAN KAWASAN BUDIDAYA TERIPANG PASIR (Holothuria scabra) DENGAN METODE PENCULTURE DI PERAIRAN TELUK KIOWA, DESA KAHYAPU KECAMATAN ENGGANO

Wulandari, Ully; Sulistyo, Bambang; Hartono, Dede

doi:10.31186/jenggano.1.1.57-73

Cited by 3 publications

(2 citation statements)

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“…Water suitability analysis is useful as an initial step in the process of preparing spatial plans and developing small islands and can prevent conflicts of interest in the use of space in resource utilization among stakeholders. Although the results have shown alternative locations that can be implemented for cultivation activities and prospective conservation for H. scabra [13], management steps remain an important aspect to ensure the sustainability of cultivation and ensure the sustainability of natural resources at the same time. This is done so as not to cause new problems, such as environmental degradation in the future.…”

Section: Resultsmentioning

confidence: 99%

“…The final result shows a quality index that ranges from 0 (very unsuitable) to 1 (very suitable). The suitability index (SI/Suitability Index) was based on literature related to water quality conditions that met the criteria for the cultivation of sea cucumbers [8][9][10][11][12][13][14][15][16][17]. Parameters that give a stronger influence as a limiting factor for sea cucumbers are given a higher value.…”

Section: Methodsmentioning

confidence: 99%

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Modeling of habitat suitability for sea cucumber ranching in Sintok Island, Karimunjawa National Park, Indonesia

Hartati

Alya

Zainuri

et al. 2021

IOP Conf. Ser.: Earth Environ. Sci.

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Increasing demand for marine resources, such as sea cucumber, has led to widespread interest in their conservation, one of which is sea ranching. This study sought to identify habitat suitability for sea cucumber Holothuria scabra ranching. The proposed location was Sintok Island, one small island part of Karimunjawa Archipelagos. The HSI (Habitat Suitability Index) model was used to identify potential sites for sea cucumber ranching. Twelve habitat factors were used as input variables for the HSI model: sediment classification, water temperature, salinity, pH, dissolved oxygen, depth, transparency, current, depth, organic matter and chlorophyll-a of the sediment, seagrass density, and tide. The weighting of each habitat factor was defined through the Delphi method. Sediment classification and seagrass density were the most and less important condition affecting the HSI of H. scabra in the different study areas with weighing index of 0.2191 and 0.015 respectively. The HSI of Southern Station (Station 1) was relatively low (0.79-0.81), meaning the site was not suitable for sea ranching of H. scabra. In contrast, the western (Station 2) and the northern part (Station 3) of Sintok Island, were preferable sites, suitable as habitats for restoration efforts in sea ranching.

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Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Modeling of habitat suitability for sea cucumber ranching in Sintok Island, Karimunjawa National Park, Indonesia

Hartati

Alya

Zainuri

et al. 2021

IOP Conf. Ser.: Earth Environ. Sci.

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Validating The Fully Raster-Based Suitability Model for Sea Cucumber (Holothuria scabra)

Sulistyo

Dewi

Anggraini

et al. 2020

IOP Conf. Ser.: Mater. Sci. Eng.

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This research aimed at validating the fully raster-based suitability modelling for sea cucumber (Holothuria scabra) that has been created for the waters of Kiowa Bay, Enggano Island, Bengkulu. To validate the model, eighty-four sea cucumbers were cultivated on two different suitability classes. The field test phase includes setting the cultivation cages; measurement of sea cucumber weight; measurement of water quality parameter; and substrate analysis. Sea cucumbers were put into 2 cultivation cages (Cage 1: highly suitable, and Cage 2: less suitable), and for each cage, it was divided into 3 sub-cages. Before weighing, the sea cucumber was taken out from the water and then put into a tray layered with tissue, and left for 30 seconds. Measurements were conducted at the beginning of the study (t0) and then carried out every three weeks until t3. The data analysis includes the Specific Growth Rate; Daily Growth Rate; Absolute Growth; and Survival Rate. The results showed that the Specific Growth Rate; Daily Growth Rate; Absolute Growth; and Survival Rate at Cage 1 (ie 0.5%; 0.88 gram; 62.28 gram; and 85.71%) better than the same parameters at Cage 2 (ie 0.34%; 0.64 gram; 45.33 grams; and 69.05%). These results indicate that the raster-based data for sea cucumber suitability model has advantages over the sea cucumber suitability model analyzed using vector-based data.

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Refining Suitability Modelling for Sea Cucumber (Holothuria scabra) Using Fully Raster-Based Data

et al. 2018

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Geographical Information System (GIS) modelling using vector data is a commonly used method of modelling offering simple data input and analysis. However, the vector-data model assumes homogeneity in mapping units based on subjectively consequent reduction in the variety of information obtained and uncertainty in the results. T scabra) using fully raster-based data for the waters of Kiowa Bay, Kahyapu village in the district of Enggano, North Bengkulu, Indonesia. Using a GIS, all parameters affecting suitability for sea cucumber were rasterised to improve compatibility. The relevant data includes nine parameters of seawater namely acidity, depth, current velocity, temperature, salinity, brightness, dissolved oxygen concentration, the condition of the at 51 stations, and each parameter was then digitised and interpolated (using Kriging method) to create a continuous raster-dataset. Correlation analysis was then conducted were excluded from further analysis since results could be derived from the remaining parameter set. Principal component analysis (PCA) was then applied to ascertain the weight of each component. Furthermore, scree plot was employed to choose which principal components were relevant for insertion into the formula of suitability. The based data as the reference data set. The research results showed that this method can be used to locate areas that are suitable for sea cucumber farming. The suitability map for sea cucumber generated from the analysis using fully raster-based data displayed less uncertainty than the suitability map generated using vector-based data. Abstrak. metode pemodelan yang umum digunakan yang menawarkan input dan analisis data sederhana. Namun, model vektor-data mengasumsikan homogenitas dalam unit pemetaan berdasarkan penyederhanaan yang berlebihan, pengurangan konsekuensi dalam variasi informasi yang diperoleh dan ketidakpastian dalam hasil. Penelitian ini bertujuan untuk menyempurnakan untuk perairan Teluk Kiowa, Kabupaten Enggano, Bengkulu Utara, Indonesia. Semua parameter yang mempengaruhi kesesuaian untuk teripang dipertimbangkan menggunakan SIG. Data yang tersedia dikonversi ke format raster untuk meningkatkan kompatibilitas dan analisis. Data yang relevan terkait dengan sembilan parameter air laut meliputi keasaman, kedalaman, kecepatan arus, suhu, salinitas, kecerahan, konsentrasi oksigen terlarut, kondisi dasar laut, dan perlindungan wilayah pesisir. Sembilan parameter ini disurvei di lapangan pada 51 stasiun dan setiap parameter kemudian dipetakan dan diinterpolasi untuk membuat dataset raster, menggunakan interpolasi Kriging. Analisis korelasi kemudian dilakukan untuk memeriksa

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APLIKASI SIG UNTUK ANALISIS KESESUAIAN KAWASAN BUDIDAYA TERIPANG PASIR (Holothuria scabra) DENGAN METODE PENCULTURE DI PERAIRAN TELUK KIOWA, DESA KAHYAPU KECAMATAN ENGGANO

Cited by 3 publications

References 1 publication

Modeling of habitat suitability for sea cucumber ranching in Sintok Island, Karimunjawa National Park, Indonesia

Modeling of habitat suitability for sea cucumber ranching in Sintok Island, Karimunjawa National Park, Indonesia

Validating The Fully Raster-Based Suitability Model for Sea Cucumber (Holothuria scabra)

Refining Suitability Modelling for Sea Cucumber (Holothuria scabra) Using Fully Raster-Based Data

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