Expert Simulation Program

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ISM - INTERPRETATIVE STRUCTURAL MODELLING

MSA - MULTIASPECT SUSTAINABILITY ANALYSIS

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INTERPRETATIVE STRUCTURAL MODELLING (ISM)

Expert and Element

1. Expert or someone who is an expert in their field, who is the subject who carries out an
assessment of the case being analyzed.
2. Elements are part of the components that make up the ISM modeling technique, which are
obtained based on the results of research and brainstorming with experts in the field.

Structural Self Interaction Matrix
(SSIM)

The Structural Self-Interaction Matrix is ​​a matrix containing relationships
between elements that represent the respondent's perceptions of the objective elements.
The SSIM filling process is expressed in four codes: V, A, X, and O. The VAXO symbol is used to
describe the contextual relationship between two variables.
  1. The symbol V represents a relationship from i to j but not in both directions.
  2. The symbol A represents a relationship from j to i but not in both directions.
  3. The symbol X represents a relationship from i to j and j to i.
  4. The symbol O represents no valid relationship between the variables.

Matrix Available

In the ISM, there are several matrices that represent changes in the SSIM form,
depicting driven and dependent power. Available matrices include the Reachability Matrix (RM).
Reachability Matrix is ​​a matrix that displays changes from SSIM form to binary numbers
to describe how strong the driver power and dependent power are.

Matrix Available

In the ISM, there are several matrices that represent changes in the SSIM form,
depicting driven and dependent power. Available matrices include the Revision Matrix.
Revision Matrix is ​​a matrix that describes changes in the form of RM after the
Transitivity Rule is applied.

Matrix Available

In the ISM, there are several matrices that represent changes in the SSIM form,
depicting driven and dependent power. Available matrices include the Final Matrix.
Final Matrix is ​​the Reachability Matrix after Transitivity Rule, Driver Power, Dependence,
Level and Ranking calculations

Graphics

The graph is an illustration of the placement of Sub Elements on a Cartesian diagram,
so that the driving force (Driver Power) and dependency force (Dependence)
can be analyzed according to MICMAC Analysis.

Structure

Structure is an illustration of the location of sub-elements in a hierarchical level,
so that the relationship between sub-elements can be explained.

MULTIASPECT SUSTAINABILITY ANALYSIS (MSA)

ASPECT & FACTOR

An aspect is a component, perspective, or dimension that forms a whole or a particular situation.
A factor is a cause or element that influences a particular condition, phenomenon, or outcome.
A factor is a contributing element, while an aspect is a way or perspective of viewing something.

Indicators

Indicators in factors are specific items used to measure or describe a particular factor.

Questionnaire

The questionnaire is a feature that can be used by researchers to answer each factor
question from the project being researched online.

Respondents

There is a respondent feature that researchers can use to determine which respondents
can fill out the questionnaire in the project online.

Data Analysis

Data Analysis is a collection of respondents' answers to the questionnaire that has been created.

Leverage Factor

These driving factors describe the factors that have the most influence on changes in status
either in their respective aspects or aggregate status. The value of the driving factor is taken
from the highest value resulting from the sum of the maximum sensitivity values added to
the real sensitivity value.

Status Value Ordination

There are several conditions based on the ordinance such as good, priority, important,
urgent, bad, and unlogic.

Random Iteration

Validation on MSA (Multiaspect Sustainability Analysis) is calculated by looking at
the random values that arise from the opinion value or mode value in factor assessment.
It is important to do an assessment not only as a simulation value of factor status
based on random values but also to see how far the deviations from the mode opinion value are.

Uncertainty Error

This value is calculated to strengthen the estimated value of future conditions (future conditions).
If thevalue is more than 10% it is possible to have high uncertainty, so the error value of
this uncertainty should have a value of 10%.

Scenario

Scenario selection can be made from the status value in the scenario results. Besides
the scenario value,the leveraging factors also become the basis for the scenario analysis
that is raised. If the researcher wants to do a tiered scenario analysis (moderate scenario,
optimistic scenario, and progressive scenario) the researcher can determine by choosing
the number of scenarios and driving factors to be analyzed.

Aggregate Status Value

The aggregate status value is the average of the status values in each aspect. This value
can be obtained from the average directly on the status value of each factor. On the other hand,
it can also be obtained from the factor status value which has been multiplied by
the weighted value or pairwise comparison assessment between factors

Aspect status value

The status value on the aspect is depicted in the ordinance visualization as a value on
the x-axis, which is obtained from the mode value in the indicator assessment divided by
the highest indicator value (good) on each factor, which then calculates the average of
all these factors.

Map Integration

Additional analysis as a spatial-based visualization of results can be applied in MSA,
but of course, it must be based on the boundaries of an area which can be a state,province,
district or city, even a village, or a boundary that has been determined in advance
with spatial-based boundaries. This spatial-based MSA analysis describes the status value
in the area or region concerned based on the respondents’ judgment, with the distribution of
the status values of each aspect on the resulting map.

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