z-logo
open-access-imgOpen Access
Measurement of Criterion Weight to Determine Industrial Area Location Using AHP for Economic Growth
Author(s) -
Endang Chumaidiyah,
Mouli De Rizka Dewantoro,
D. A Hakimah,
Z Arffan,
R. M. N Robbi
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1003/1/012154
Subject(s) - analytic hierarchy process , production (economics) , industrialisation , environmental economics , business , industrial area , process (computing) , computer science , environmental resource management , operations management , operations research , environmental planning , environmental science , economics , engineering , microeconomics , market economy , operating system
Industrial area is an infrastructure for the process of industrialization as a source that can trigger economic growth. Industrial areas that are structured and can support production operations are an appeal to foreign investors. However, the development of industrial areas requires careful planning because it impacts on the environmental carrying capacity and land loss. Therefore, industrial area development needs attention to a variety of important criteria as considerations in determining the location of an industrial area. This study aims to determine the criteria and measure the importance of each relative criterion to other criteria. The method used is Analytical Hierarchy Process (AHP). The results show that there are four important factors that need to be considered with each of the importance level, namely Infrastructure by 33.97%, Distance to Access by 31.74%, Land & Soil by 19.57%, and Production Factors by 14.72%. The four factors have ten important criteria that need to be considered in making decisions to determine the location of an industrial area where the two highest criteria are electricity infrastructure with a significance level of 19.05% and telecommunications infrastructure with an importance level of 14.92%.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here