| dc.description.abstract | In recent years, particular geographic information systems can utilize area for spatial reasoning. Marine suitability analysis is a prerequisite for sustainable seaweed and pearl oyster cultivation production and it involves evaluation of the parameter such as depth, brightness, salinity, pH, dissolve oxygen, and temperature as infrastructure. In approach of multi criteria decision making, the objective of this research is to analyze the marine suitability using minimum threshold criteria, simple additive weighting (SAW), and fuzzy logic. The parameters in these methodologies will be interpolated and reclassified as a set rule for the coastal marine suitability for seaweed and pearl oyster cultivation. The method of minimum threshold criteria implements matching of two different classes and results the lower class. The second method is using simple additive weighting that implements multiplication of score and weight on marine criteria. The third method is using a fuzzy decision analysis. The comparative analysis of the three methods for seaweed majority indicates that classification of marine coastal suitability belongs to N class based on minimum threshold criteria. SAW method indicates produces two classes such as N and S3 class, while fuzzy method produces three classes: S1, S2, and S3. In SAW and fuzzy method indicates S3 class is higher than N class. The three methods for pearl oyster cultivation shows that the suitable marine using threshold criteria method which produce N classification. The suitable marine using simple additive weighting method produce two classifications: N and S3. S3 classification replies the biggest area than N classification. The suitable marine using fuzzy method produces three classifications: S3, S2 and S1 class, which describes that S1 class is larger than the other class in this location, and suitable for pearl oyster cultivation. | id |
