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Selection of Industrial Sites Using a Web-Based Geographical Information System to Minimize Risks: A Case Study in West Java, Indonesia

Author

Listed:
  • Endang Chumaidiyah

    (School of Industrial Engineering, Telkom University, Bandung 40257, Indonesia)

  • Mouli De Rizka Dewantoro

    (School of Industrial Engineering, Telkom University, Bandung 40257, Indonesia)

  • Putri Maulani Fauzi

    (School of Industrial Engineering, Telkom University, Bandung 40257, Indonesia)

  • Anton Abdulbasah Kamil

    (Faculty of Economics, Administrative and Social Sciences, Istanbul Gelisim University, Istanbul 34310, Turkey)

Abstract

The efficient selection of a perfect site for the development of an industrial site in spatial planning should consider the land condition and environmental factors to minimize the impacts and risks. This paper aimed to create a model to assess if an area that can be used for the development of an industrial site meets multiple criteria. The new method in this research integrates the GIS and AHP approaches into a web-based geographic information system application that is used to easily support widespread assessment and mapping. The assessment of the development potential of industrial areas in West Java Province showed that 77% of the land was appropriate for industrial sites, whereas the other 33% was less suitable for use as an industrial site location. The assessment of 23 industrial site development location points in the Industrial Site Spatial Plan of West Java Province showed that 14 locations were in the highly suitable category (P1) and 9 other locations were in the suitable category (P2).

Suggested Citation

  • Endang Chumaidiyah & Mouli De Rizka Dewantoro & Putri Maulani Fauzi & Anton Abdulbasah Kamil, 2023. "Selection of Industrial Sites Using a Web-Based Geographical Information System to Minimize Risks: A Case Study in West Java, Indonesia," Sustainability, MDPI, vol. 15(22), pages 1-16, November.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:22:p:16034-:d:1282032
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    References listed on IDEAS

    as
    1. Vytautas Snieska & Ineta Zykiene & Daiva Burksaitiene, 2019. "Evaluation of location’s attractiveness for business growth in smart development," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 32(1), pages 925-946, January.
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