Compiling a Hierarchical Structure

Oct 13, 2025 by thesweetdesigns.com 106 views

Introduction

The Analytical Hierarchy Process (AHP) method is a widely used decision-making technique that helps in determining priorities among various complex alternatives or criteria. This process involves creating a hierarchical structure of the problems to be analyzed, followed by a paired comparison matrix to produce an eigen vector and maximum eigen value. The AHP method is particularly useful in decision-making scenarios where multiple criteria need to be evaluated. In this study, we aim to provide a deeper understanding of the measurement of environmental performance from simple urban housing in Martubung, Medan, using the AHP method.

Background of the Study

The city of Medan is one of the largest cities in Indonesia, with a population of over 2 million people. The city is known for its rapid urbanization, which has led to the development of simple urban housing in areas such as Martubung. However, the environmental performance of these housing units has been a concern, with issues such as flooding, poor sanitation, and lack of green open spaces. The AHP method is a useful tool in evaluating the environmental performance of these housing units and identifying areas for improvement.

Methodology

The AHP method involves several steps, including:

Compiling a Hierarchical Structure: The first step in the AHP method is to compile a hierarchical structure of the problems to be analyzed. This involves identifying the main criteria and sub-criteria that need to be evaluated.
Creating a Paired Comparison Matrix: The next step is to create a paired comparison matrix, which involves comparing each pair of criteria and assigning a weight to each pair.
Determining the Eigen Vector and Maximum Eigen Value: The paired comparison matrix is then used to determine the eigen vector and maximum eigen value.
Consistency Test: A consistency test is performed to ensure that the weights assigned to each pair of criteria are consistent with the overall goal of the analysis.

Results

The analysis shows that the accessibility criteria have the highest weight of 0.434 or 43.4%. This indicates that accessibility is the main factor that needs to be considered in improving environmental performance in the region. Followed by drainage criteria which weighs 0.244 or 24.4%, which shows the importance of a good drainage system to prevent flooding and managing rainwater effectively.

Furthermore, sanitation criteria weighs 0.191 or 19.1%, which indicates the need for more attention to aspects of cleanliness and waste disposal. The distance criteria for industrial activities have a weight of 0.073 or 7.3%, which shows that the impact of industrial activity on the residential environment also needs to be considered, although not as strong as other criteria. Finally, the criteria for green open space with a weight of 0.057 or 5.7% reflects the importance of open space that functions as the lungs of the city and the recreation area for the population.

Discussion

The results of this analysis have significant implications for the development of sustainable housing policies in Martubung and surrounding areas. The use of the AHP method has enabled us to identify critical factors that affect environmental performance and formulate a more directed and effective intervention strategy. Taking into account these criteria, developers and policy makers can work together to create a better and more sustainable housing environment for the Martubung and surrounding community.

Conclusion

The application of the AHP method in this study shows that a data-based approach and systematic analysis is very important in the complex decision-making process. With the results obtained, it is expected to motivate stakeholders to pay more attention to environmental factors in the planning of housing development in urban areas, so that the quality of life of the community can be improved.

Recommendations

Based on the results of this study, the following recommendations are made:

Prioritize Accessibility: Accessibility should be the main priority in improving environmental performance in the region.
Improve Drainage System: A good drainage system is essential to prevent flooding and managing rainwater effectively.
Enhance Sanitation: More attention should be given to aspects of cleanliness and waste disposal.
Consider Industrial Impact: The impact of industrial activity on the residential environment should be considered, although not as strong as other criteria.
Promote Green Open Space: Open space that functions as the lungs of the city and the recreation area for the population should be promoted.

Limitations

This study has several limitations, including:

Limited Scope: The study only focuses on simple urban housing in Martubung and surrounding areas.
Limited Data: The study relies on secondary data, which may not be comprehensive or up-to-date.
Methodological Limitations: The AHP method has its own limitations, including the assumption of independence between criteria and the potential for subjective bias.

Future Research Directions

Future research should aim to:

Expand the Scope: Expand the scope of the study to include other types of housing and areas.
Improve Data Quality: Improve the quality and comprehensiveness of the data used in the study.
Develop a More Comprehensive Methodology: Develop a more comprehensive methodology that takes into account multiple criteria and stakeholders.

Conclusion

In conclusion, this study has demonstrated the effectiveness of the AHP method in evaluating environmental performance and identifying areas for improvement in simple urban housing in Martubung and surrounding areas. The results of this study have significant implications for the development of sustainable housing policies and should be taken into account by developers and policy makers.

What is the Analytical Hierarchy Process (AHP) method?

The AHP method is a decision-making technique that helps in determining priorities among various complex alternatives or criteria. It involves creating a hierarchical structure of the problems to be analyzed, followed by a paired comparison matrix to produce an eigen vector and maximum eigen value.

What are the steps involved in the AHP method?

The AHP method involves several steps, including:

Compiling a Hierarchical Structure: The first step in the AHP method is to compile a hierarchical structure of the problems to be analyzed.
Creating a Paired Comparison Matrix: The next step is to create a paired comparison matrix, which involves comparing each pair of criteria and assigning a weight to each pair.
Determining the Eigen Vector and Maximum Eigen Value: The paired comparison matrix is then used to determine the eigen vector and maximum eigen value.
Consistency Test: A consistency test is performed to ensure that the weights assigned to each pair of criteria are consistent with the overall goal of the analysis.

What is the importance of the AHP method in decision-making?

The AHP method is an important tool in decision-making because it helps in:

Identifying Critical Factors: The AHP method helps in identifying critical factors that affect the decision-making process.
Evaluating Alternatives: The AHP method enables the evaluation of multiple alternatives and criteria.
Determining Priorities: The AHP method helps in determining priorities among various alternatives or criteria.
Improving Decision-Making: The AHP method improves decision-making by providing a systematic and structured approach.

What are the advantages of the AHP method?

The AHP method has several advantages, including:

Easy to Use: The AHP method is easy to use and understand.
Flexible: The AHP method is flexible and can be applied to a wide range of decision-making scenarios.
Systematic: The AHP method provides a systematic and structured approach to decision-making.
Helps in Identifying Critical Factors: The AHP method helps in identifying critical factors that affect the decision-making process.

What are the limitations of the AHP method?

The AHP method has several limitations, including:

Assumes Independence: The AHP method assumes that the criteria are independent, which may not always be the case.
Subjective Bias: The AHP method is susceptible to subjective bias, as the weights assigned to each pair of criteria are subjective.
Limited Scope: The AHP method has a limited scope and may not be applicable to all decision-making scenarios.
Requires Expertise: The AHP method requires expertise in decision-making and analysis.

How can the AHP method be applied in real-world scenarios?

The AHP method can be applied in a wide range of real-world scenarios, including:

Business Decision-Making: The AHP method can be used in business decision-making to evaluate alternatives and determine priorities.
Environmental Decision-Making: The AHP method can be used in environmental decision-making to evaluate the impact of different alternatives on the environment.
Healthcare Decision-Making: The AHP method can be used in healthcare decision-making to evaluate the effectiveness of different treatments and determine priorities.
Education Decision-Making: The AHP method can be used in education decision-making to evaluate the effectiveness of different teaching methods and determine priorities.

What are the future directions for the AHP method?

The future directions for the AHP method include:

Developing a More Comprehensive Methodology: Developing a more comprehensive methodology that takes into account multiple criteria and stakeholders.
Improving Data Quality: Improving the quality and comprehensiveness of the data used in the AHP method.
Expanding the Scope: Expanding the scope of the AHP method to include other types of decision-making scenarios.
Developing a More User-Friendly Interface: Developing a more user-friendly interface for the AHP method to make it easier to use and understand.