DEVELOPMENT OF THE HUMAN HEALTH AND ENVIRONMENTAL INDEX (IKML) FORMULATION USING THE ANALYTIC HIERARCHY PROCESS (AHP) METHOD FOR THE WEST JAVA PROVINCE STUDY AREA
Along with the development of the era, many human activities harm the environment and human health. Several preventive efforts have been made with an integrated monitoring system in an index. However, the availability of quantitative assessments that represent a condition related to human health...
Saved in:
Main Author: | |
---|---|
Format: | Theses |
Language: | Indonesia |
Subjects: | |
Online Access: | https://digilib.itb.ac.id/gdl/view/86625 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | Along with the development of the era, many human activities harm the environment
and human health. Several preventive efforts have been made with an integrated
monitoring system in an index. However, the availability of quantitative
assessments that represent a condition related to human health and environmental
conditions has yet to be developed. This study will look at the ecological condition
and health quality with the data that has been collected. It will also include several
alternatives to create a quantitative assessment formula, such as the Human and
Environmental Health Index (IKML).
The study was conducted by statistical science with the Spearman correlation
analysis method to analyze the relationship between each indicator. Several
positive relationships were found (0.16 - 0.67), such as the health index with the
education index, the education index with health workers, the health index with
health insurance, and IKLH with the poverty severity index. Meanwhile, the IKML
formulation was developed using several methods, namely the weight equalization
method, the Analytical Hierarchy Process (AHP), and the average comparison. The
formulation obtained will go through validation testing using Monte Carlo
simulation. Three formulas of IKML were produced from the three methods with
relatively reliable and stable validity in various data input conditions, namely
IKML from the weight equalization method and AHP weighting based on health
sector groups and work experience> 10 years. |
---|