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

Forum Geografi · Vol. 32 No. 2 (2018) · hlm. 119–130

DOI
10.23917/forgeo.v32i2.6662
ISSN
2460-3945, 0852-0682
Terbit
2018-11-23
Penerbit
Universitas Muhammadiyah Surakarta
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-nc-nd/4.0

Abstrak

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 applied classification and simplification, and this may lead to over-simplification and consequent reduction in the variety of information obtained and uncertainty in results. This research aimed at refining the suitability modelling for sea cucumber (Holothuria 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 sea water namely acidity, depth, current velocity, temperature, salinity, brightness, dissolved oxygen concentration, condition of the sea floor, and coastal protection of the area. These parameters were surveyed in the field at 51 stations and each parameter was then digitized and interpolated (using Kriging method) to create a continuous raster-dataset. Correlation analysis was then conducted to check parameter correlation. Parameters with a correlation coefficient of 0.75 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 plotting was employed to choose which principal components were relevant for insertion into the formula of suitability. The final result was then compared to the map of suitability from the analysis of vector-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.

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  • University of Bengkulu
  • Universitas Gadjah Mada
  • IPB University
  • Universitas Dr. Soetomo
  • State University of Semarang
  • Sriwijaya University
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Rekan penulisOrganisasiArtikel bersama
Kanang Setyo HindartoUniversity of Bengkulu4
Teguh AdiprasetyoUniversity of Bengkulu4
Projo DanoedoroUniversitas Gadjah Mada3
Totok GunawanUniversitas Gadjah Mada3
Muhammad Faiz BarchiaUniversitas Gadjah Mada3
Hery SuhartoyoUniversity of Bengkulu3
Bendi ExtraUniversity of Bengkulu2
Bambang Gonggo MurcitroUniversity of Bengkulu2
Agus Joko PurwadiUniversity of Bengkulu2
Hartono HartonoUniversitas Gadjah Mada1
Rochmat MartantoUniversitas Gadjah Mada1
Achmad FarajallahAfiliasi tidak diketahui1
Neviaty Putri ZamaniIPB University1
. HartonoState University of Semarang1
Ridha Rizki NovandaUniversity of Bengkulu1
Dedik BudiantaSriwijaya University1
Dodi HardiansyahAfiliasi tidak diketahui1
H HartonoUniversitas Gadjah Mada1
Welly HermanIPB University1
Bandi HermawanUniversity of Bengkulu1
TEDY MEILYANTOAfiliasi tidak diketahui1

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Sumber metadata: OAI-PMH (metadata jurnal) http://journals.ums.ac.id/index.php/fg/oai, pertama di-harvest 8 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en-US">Refining Suitability Modelling for Sea Cucumber (Holothuria scabra) Using Fully Raster-Based Data</dc:title>
	<dc:creator>Sulistyo, Bambang</dc:creator>
	<dc:creator>Purnama, Dewi</dc:creator>
	<dc:creator>Anggraini, Maya</dc:creator>
	<dc:creator>Hartono, Dede</dc:creator>
	<dc:creator>Wilopo, Mukti Dono</dc:creator>
	<dc:creator>Wulandari, Ully</dc:creator>
	<dc:creator>Listyaningrum, Noviyanti</dc:creator>
	<dc:subject xml:lang="en-US">GIS;Raster-based</dc:subject>
	<dc:subject xml:lang="en-US">fully raster-based, GIS, sea cucumber, suitability modeling</dc:subject>
	<dc:subject xml:lang="en-US">Modelling</dc:subject>
	<dc:description xml:lang="en-US">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 applied classification and simplification, and this may lead to over-simplification and consequent reduction in the variety of information obtained and uncertainty in results. This research aimed at refining the suitability modelling for sea cucumber (Holothuria 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 sea water namely acidity, depth, current velocity, temperature, salinity, brightness, dissolved oxygen concentration, condition of the sea floor, and coastal protection of the area. These parameters were surveyed in the field at 51 stations and each parameter was then digitized and interpolated (using Kriging method) to create a continuous raster-dataset. Correlation analysis was then conducted to check parameter correlation. Parameters with a correlation coefficient of  0.75 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 plotting was employed to choose which principal components were relevant for insertion into the formula of suitability. The final result was then compared to the map of suitability from the analysis of vector-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.</dc:description>
	<dc:publisher xml:lang="en-US">Universitas Muhammadiyah Surakarta</dc:publisher>
	<dc:contributor xml:lang="en-US">Institute of Research and Community Service, University of Bengkulu</dc:contributor>
	<dc:date>2018-11-23</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US"></dc:type>
	<dc:type xml:lang="en-US">GIS Analysis</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:format>text/html</dc:format>
	<dc:identifier>https://journals.ums.ac.id/index.php/fg/article/view/6662</dc:identifier>
	<dc:identifier>10.23917/forgeo.v32i2.6662</dc:identifier>
	<dc:source xml:lang="en-US">Forum Geografi; Vol 32, No 2 (2018): December 2018; 119-130</dc:source>
	<dc:source>2460-3945</dc:source>
	<dc:source>0852-0682</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journals.ums.ac.id/index.php/fg/article/view/6662/4202</dc:relation>
	<dc:relation>https://journals.ums.ac.id/index.php/fg/article/view/6662/4228</dc:relation>
	<dc:relation>https://journals.ums.ac.id/index.php/fg/article/downloadSuppFile/6662/645</dc:relation>
	<dc:coverage xml:lang="en-US">Enggano Island</dc:coverage>
	<dc:coverage xml:lang="en-US"></dc:coverage>
	<dc:coverage xml:lang="en-US"></dc:coverage>
	<dc:rights xml:lang="en-US">Copyright (c) 2018 Bambang Sulistyo</dc:rights>
	<dc:rights xml:lang="en-US">https://creativecommons.org/licenses/by-nc-nd/4.0</dc:rights>
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