Design of a Participatory Web-Based Geographic Information System for Determining Industrial Zones
Different types of site selection exploited by geographic information systems (GIS) by combining various types of data relate to the purpose of site selection. In reality, numerous factors including physical, environmental, and social factors affect the site selection in terms of deciding the locati...
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2021-01-01
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Series: | Applied Computational Intelligence and Soft Computing |
Online Access: | http://dx.doi.org/10.1155/2021/6665959 |
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doaj-e731ae94735746d698ecaf7428c59ae12021-03-15T00:01:18ZengHindawi LimitedApplied Computational Intelligence and Soft Computing1687-97322021-01-01202110.1155/2021/6665959Design of a Participatory Web-Based Geographic Information System for Determining Industrial ZonesEndang Chumaidiyah0Mouli De Rizka Dewantoro1Anton Abdulbasah Kamil2Telkom UniversityTelkom UniversityIstanbul Gelisim UniversityDifferent types of site selection exploited by geographic information systems (GIS) by combining various types of data relate to the purpose of site selection. In reality, numerous factors including physical, environmental, and social factors affect the site selection in terms of deciding the location of a new industry. Accordingly, this paper conceives systems for determining new industrial zones in the form of web-based applications or ordinarily called web-based GIS. Thus, the application named the potential industrial zone smart systems, in which the prototype of the application is able to facilitate planning the determination of new industrial zone based on six parameters throughout the analytical hierarchy process method. The result weights of six criteria are soil type 35%, land use 32%, land slope 15%, the distance of land to river 9%, the distance of land from road and accessibility 5%, and the distance of land to public facilities 4%. Additionally, the web-based GIS is a user-friendly application to determine the planned industrial location. Further, the demonstration runs effortlessly in exhibiting data on the potential of new industrial zones in the city of Bekasi, West Java Province of Indonesia.http://dx.doi.org/10.1155/2021/6665959 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Endang Chumaidiyah Mouli De Rizka Dewantoro Anton Abdulbasah Kamil |
spellingShingle |
Endang Chumaidiyah Mouli De Rizka Dewantoro Anton Abdulbasah Kamil Design of a Participatory Web-Based Geographic Information System for Determining Industrial Zones Applied Computational Intelligence and Soft Computing |
author_facet |
Endang Chumaidiyah Mouli De Rizka Dewantoro Anton Abdulbasah Kamil |
author_sort |
Endang Chumaidiyah |
title |
Design of a Participatory Web-Based Geographic Information System for Determining Industrial Zones |
title_short |
Design of a Participatory Web-Based Geographic Information System for Determining Industrial Zones |
title_full |
Design of a Participatory Web-Based Geographic Information System for Determining Industrial Zones |
title_fullStr |
Design of a Participatory Web-Based Geographic Information System for Determining Industrial Zones |
title_full_unstemmed |
Design of a Participatory Web-Based Geographic Information System for Determining Industrial Zones |
title_sort |
design of a participatory web-based geographic information system for determining industrial zones |
publisher |
Hindawi Limited |
series |
Applied Computational Intelligence and Soft Computing |
issn |
1687-9732 |
publishDate |
2021-01-01 |
description |
Different types of site selection exploited by geographic information systems (GIS) by combining various types of data relate to the purpose of site selection. In reality, numerous factors including physical, environmental, and social factors affect the site selection in terms of deciding the location of a new industry. Accordingly, this paper conceives systems for determining new industrial zones in the form of web-based applications or ordinarily called web-based GIS. Thus, the application named the potential industrial zone smart systems, in which the prototype of the application is able to facilitate planning the determination of new industrial zone based on six parameters throughout the analytical hierarchy process method. The result weights of six criteria are soil type 35%, land use 32%, land slope 15%, the distance of land to river 9%, the distance of land from road and accessibility 5%, and the distance of land to public facilities 4%. Additionally, the web-based GIS is a user-friendly application to determine the planned industrial location. Further, the demonstration runs effortlessly in exhibiting data on the potential of new industrial zones in the city of Bekasi, West Java Province of Indonesia. |
url |
http://dx.doi.org/10.1155/2021/6665959 |
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