1Aquaculture Department, Faculty of Fisheries and Marine Sciences, Universitas Diponegoro, Indonesia
2Oceanography Department, Faculty of Fisheries and Marine Sciences, Universitas Diponegoro, Indonesia
3Center for Coastal Rehabilitation and Disaster Mitigation Studies, Indonesia
4 Research and Development Center for Marine, Coast, and Small Island, Hasanuddin University, Indonesia
5 Marine Science and Fisheries Faculty, Hasanuddin University, Indonesia
6 Marine Science and Fisheries Faculty, Gadjah Mada University, Indonesia
7 Department of Geography, Srinakharinwirot University, Thailand
BibTex Citation Data :
@article{IK.IJMS47735, author = {Sarjito Sarjito and Hanny Ammaria and Muhammad Helmi and Slamet Prayitno and Nurjannah Nurdin and Riza Setiawan and Parichat Wetchayont and Anindya Wirasatriya}, title = {Identification of Potential Locations for Kappaphycyus alvarezii Cultivation for Optimization of Seaweed Production Based on Geographic Information Systems in Spermonde Archipelago Waters, South Sulawesi, Indonesia}, journal = {ILMU KELAUTAN: Indonesian Journal of Marine Sciences}, volume = {27}, number = {3}, year = {2022}, keywords = {Seaweed production; site selection; GIS; hydrodynamics modeling}, abstract = { Indonesia is the second largest producer of red algae in the world with one of the major Kappaphycyus. alvarezii farming areas is in Spermonde Islands, Pangkep Regency, South Sulawesi Province. K. alvarezii production in Pangkep Regency increased every year. However, the availability of natural seaweed can be threatened along with the increasing demand so that seaweed cultivation is necessary . Proper site selection is crucial to guarantee the success of the seaweed farming development. A Geographic Information system (GIS) with geospatial modeling approach was applied for identification of the site selection for K. alvarezii cultivation at the Liukang Tuppabiring District, Spermonde Islands by combining various physical and chemical parameters obtained from in-situ data and hydrodynamics modeling. The parameters are Sea Surface Temperature, salinity, pH, substrate type, current speed, wave height, DO, nitrate, phosphate, and Total Suspended Solid. This research also include the accessibility and the restricted area of shipping lanes for determining the area suitability of K. alvarezii cultivation. This research demonstrates a Geographic Information system with the cell-based geospatial modeling can be effectively used and found the the suitable categorized area for K. alvarezii is 4,546.28 ha, which is the combination of the suitable area of 4,463.08 ha and highly suitable criteria with an area of 83.2 ha . The p otential productivity of wet-weight seaweed can reach 56,825 tons per cycle or 113,650 tons per year. This result suggests the GIS with geospatial modeling approach for developing the area of K. alvarezii culture can be applied in other area. }, issn = {2406-7598}, pages = {253--266} doi = {10.14710/ik.ijms.27.3.253-266}, url = {https://ejournal.undip.ac.id/index.php/ijms/article/view/47735} }
Refworks Citation Data :
Indonesia is the second largest producer of red algae in the world with one of the major Kappaphycyus. alvarezii farming areas is in Spermonde Islands, Pangkep Regency, South Sulawesi Province. K. alvarezii production in Pangkep Regency increased every year. However, the availability of natural seaweed can be threatened along with the increasing demand so that seaweed cultivation is necessary. Proper site selection is crucial to guarantee the success of the seaweed farming development. A Geographic Information system (GIS) with geospatial modeling approach was applied for identification of the site selection for K. alvarezii cultivation at the Liukang Tuppabiring District, Spermonde Islands by combining various physical and chemical parameters obtained from in-situ data and hydrodynamics modeling. The parameters are Sea Surface Temperature, salinity, pH, substrate type, current speed, wave height, DO, nitrate, phosphate, and Total Suspended Solid. This research also include the accessibility and the restricted area of shipping lanes for determining the area suitability of K. alvarezii cultivation. This research demonstrates a Geographic Information system with the cell-based geospatial modeling can be effectively used and found the the suitable categorized area for K. alvarezii is 4,546.28 ha, which is the combination of the suitable area of 4,463.08 ha and highly suitable criteria with an area of 83.2 ha. The potential productivity of wet-weight seaweed can reach 56,825 tons per cycle or 113,650 tons per year. This result suggests the GIS with geospatial modeling approach for developing the area of K. alvarezii culture can be applied in other area.
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