Determine Goal and Objectives
· What factors are a greater influence in determining the proper location for the development of L.leucocephala, such as how much influence the one driving
force compare one to another driving force.
Figure 4 Flow Chart of Methodology
3.4.2 Spatial Analysis and Analytical Hierarchy Process for Determining Potential Land Suitability
Assessment of land potential is often done with agro-ecological zone approach with the physical environment as a supporting and limiting factors for
planting of a commodity plant at a specific region. If only this approach, then the only plant zoning based on land capability class is not consider other factors such as
social, economic and cultural. It is therefore necessary developed a method that can include all the factors affect plant zoning. In this research used the stages modified
from agro-ecological zoning method to include attractiveness elements driving forces and constraints.
Prior to conducting the analysis to every stage, were first carried out weighting based on expert judgment that is very competent in this field. Analysis of
agro-ecological zones; this analysis was based on suitability to grow of L.leucocephala on the condition of the physical environment consisting of climate,
soil, and topography of the region. Analysis of the attractiveness driving force of this space were analyzed the results of agro-ecological zoning by adding a factor of
closure, roads, livestock market and the existing land use, like a folk forest, protected forest, protected area, produced forest, industry area, water body, and wetland
farming. Land suitability criteria used in this research based on the Second Land
Resources Evaluation and Planning Project LREP II in 1994; where the system itself refers to the land suitability criteria issued by FAO 1976. According to the
basic concept of Land Evaluation Framework FAO, 1976 the land suitability was distinguished on the physical land suitability qualitative and land suitability in the
economic quantitative. Land suitability was physically divided into 4 classes, namely: highly suitable S1, moderately suitable S2, marginally suitable S3, and
is not suitable N. While economically differentiated into 5 classes, namely: Class 1 is very suitable S1, its use is very profitable; Class 2 moderately suitable S2, its
use is beneficial; Class 3 according to the marginal S3 use the marginal benefit; Class 4 does not fit economically N1 , its use is possible but not profitable today,
and by improving the management to raise its class, Class 5 is not as permanent, economically N2 usage is not possible, and this class is physically derived from the
class N. Predicting the suitability of land for agricultural commodities are necessary criteria for land suitability class of the most suitable S1 to inconsistent N. The
criteria for land suitability of L.leucocephala shows on Table 6.
Table 6 Criteria for Land Suitability of L.leucocephala LREP II 1994; FAO, 1976
Quality land characteristics
Land Suitability Classification Unit
S1 S2
S3 N1
N2
Annual Temperature
o
C 21-30
30-34 19-21
- -
- 34
19 Annual Rainfall
mm 750-1000
1000-2000 600-750
- -
2000 600
Texture L, SCL, SiL, Si,
CL, SC, SiCL LS, SL, SiC,
C Massif
Clay, Str C -
Gravel, Sand
Effectiveness Depth
cm 100
75
weight distribution is more objective than setting the weight for individual factors. The steps of the analysis are described as follows:
A. Establishment of the Hierarchical Structure.
After the final goal of establishing the hierarchical framework is achieved, a mutually independent hierarchical relationship is built by interviewing experts
and doing surveys secondary goal, and analyzing the elements that might affect the secondary goal. The elements of similar importance are collected on
the same level in this step.
B. Weight between the Elements on Different Levels
The calculation of the weight between the elements on different levels is completed though the following four steps:
Ø Establishment of Pair-wise Comparison Matrix: The element comparison is conducted in this step. The parent element of an element
on a lower level is used as an evaluation criterion for the pair-wise comparison.
Ø Calculation of Priority Vector. Divided each comparison value by the sum of the values in Corresponding fields for the aggregation of the
rows; namely, the sum of the percentage each comparison value occupies in its corresponding row.
Ø Calculation of the Maximum eigenvalue