Multi-aspect Sustainability Analysis is used to find the value of sustainability status, performance index, or performance index of activity, place, activity, institution, or company in the context of self assessment or assessing conditions and descriptions, to know the strategies that must be carried out in the future. This assessment is also called a rapid assessment because it uses an existing database submitted through selected experts or respondents who meet the criteria. Then this assessment can be upgraded at any time if there are new data or conditions without having to re-analyze with the latest formulation or build a new model.
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.