PEMETAAN KELAYAKAN LAHAN BUDI DAYA IKAN LAUT DI KECATAMAN MORO, KEPULAUAN RIAU: DENGAN PENDEKATAN SISTEM INFORMASI GEOGRAFIS
Abstract
This study used geographic information system to analysis site suitability of marine fish culture in adjacent water of Moro Sub District, Riau Archipelago. Simple random sampling was used for collecting data on August and October 2004. Important parameters for marine fish culture from field measurement were categorized into two criteria, namely environmental factor (include: bathymetry, transparency, water current, and wave height) and water quality factor (include: temperature, salinity, dissolve oxygen, and pH). Multi criteria analysis (MCA) technique was used to weight of factors and parameters. Based on overlay of environmental factors and water quality factors using spatial analysis showed that most of areas of Moro sub district (Riau Archipelago) were identified as being suitable, moderately suitable or highly suitable, and none was identified as totally unsuitable for marine fish culture.
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PDFDOI: http://dx.doi.org/10.15578/jra.1.2.2006.291-302

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p-ISSN 1907-6754
e-ISSN 2502-6534
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