32 expert gave the highest score for physical layer of depth 50. It could be
conducted that physical layer depth is the most influential than the other physical layers for pearl oyster cultivation. Calculation with simple additive weighting
method results for two classes such as N class and S3 class.
Figure 4-3 SAW method spatial interpolation of seaweed cultivation with point of sample
The process interpolation of seaweed cultivation uses simple additive weighting formula figure 4-3. Figure 4-3 shows that the line across the coast yellow
arrows, describes the existence of S3 marine suitability classes where are parallel with the mainland. This line is generated by spatial interpolation, which will
connect the sample points yellow circle one to another of the same classes. So in fact, the line with S3 classes should not exist. The S3 classes should appear
around the sample point.
4.4 Marine Coastal Suitability using Fuzzy Method
Based on overlay process in figure 3-6, each physical layer will be overlaid in 6 stages. Limitations and completeness of data on the map need to be examined
prior to be processed to prepare the expected data, because if there is incomplete
33 data, the result from the initial process will be different and produce unsuitable
marine coastal suitability of zoning. After overlay process phase is calculation in fuzzy set method. Most of the equations are used for semantic model 2 and model
3 as shown in figure 2-1, by using equation 2 and 3 in fuzzy set method. Seaweed cultivation of marine coastal suitability as described in table 2-1 will be
converted into fuzzy set process as shown in table 4-2. Table 4-2. Evaluation criteria of fuzzy set model and membership
functions MF parameter for seaweed cultivation Membership function parameter
Marine coastal Characteristic
model b1 b2 d1
d2 Weight
Temperature 2 20
35 6
4 0.1
Salinity 2 12
36.1 16
0.1 0.1
pH 2 6.5
9 1
0.7 0.1
Bright 3 25
- 50
0.25 Dissolved oxygen
3 4
- 2
0.1 Depth 2
0.9 5.1
0.1 0.1
0.35
Figure 4-4. Fuzzy membership functions of each physical parameter for accessing marine coastal suitability for seaweed cultivation
34 The data in table 4-2 also shows definite weight for each physical parameter
characteristics. Membership function for physical parameter, mostly uses equation semantic model 2 for physical parameters such as depth, temperature, salinity, and
pH, and the others use equation membership function semantic model 3. The fuzzy set conversion into graph of marine coastal characteristic functions are
shown in figure 4-4. Table 4-3. Evaluation criteria of fuzzy set model and membership
functions MF parameter for pearl oyster cultivation Membership function parameter
Marine coastal Characteristic
type b1 b2 d1 d2 Weight Temperature 2
20 34
16 5
0.1 Salinity 2
20 40
17 6
0.1 pH 3
7 9
0.7 0.7
0.1 Bright 3
25 -
50 0.1
Dissolve oxygen 3
4 -
2 0.1
Depth 2 .0.9
36 0.1
25 0.5
Figure 4-5. Fuzzy membership functions of each physical parameter to access marine coastal suitability for pearl oyster cultivation
35 Pearl oyster cultivation of marine coastal suitability as described in table 2-2 will
be converted into fuzzy set process as shown in table 4-3.
a Seaweed Cultivation
b Pearl oyster Cultivation Figure 4-6. Marine coastal suitability using fuzzy method
36 The data in table 4-3 also shows definite weight for each physical parameter
characteristics. Membership functions for physical parameter mostly use equation semantic model 2 for physical parameters such as temperature, salinity, while for
the others membership function of semantic model 3 is used. The fuzzy set conversion into graph is shown in figure 4-5.
Spatial Analysis for Seaweed and Pearl Oyster Cultivation
Seaweed cultivation by spatial polygon map of marine coastal suitability is indicated by spline interpolation, as shown in figure 4-6 a.
The process after overlay phase is fuzzy set method figure 3-6 using simple visual basic program and the result of the polygon map is described in figure 4-
6a. Calculation using fuzzy set method produced three classes such as N class, S3 class, and S2 class. Pearl oyster cultivation by spatial interpolation of marine
coastal suitability as shown in figure 4-6 b. The process after overlay phase is fuzzy set method figure 3-6 using simple visual basic program and the result
polygon map as described in figure 4-6 b. Calculation with fuzzy set method produced two classes such S3, S2 class, and S1 class, in the same location.
Figure 4-7 Fuzzy method spatial interpolation of seaweed cultivation with sample point
37 The process interpolation using fuzzy method for seaweed, will produce polygon
map with results as presented figure 4-7. The existence of marine suitability S2 class is show by arrows crossing near the coast yellow arrows. The line with S2
classification is generated by spatial interpolation, which will be connected between the sample points black circle to another sample point with the same
classification. So the fact, the line with S2 classification should be did not exist, and only S2 class around the sample point.
4.5. Comparative Evaluation 4.5.1 Seaweed Cultivation
