Abstract

Indonesia is one country that is rich in natural resources, both natural, marine and air resources. The existence of abundant resources is not properly utilized by the people of Indonesia. Improper use of resources will cause environmental damage. One form of environmental destruction is natural Sandy Gravel (Sirtu) mining activities in Kediri Regency. This study aims to map potential place for mining areas assessed using Geographic information system (GIS) and Multi criteria choice Making (MCDM) using Simple Additive Weighting Method (SAW), Multi Objective Optimization on the basis of Ratio Analysis Method (MOORA) and Complex Proportional Assessment Method (COPRAS). The weighting of the criteria used in this study is based on the Fuzzy Analytical Hierarchy Process (F-AHP) method. GIS is used to score the criteria and build the decision matrix needed by the MCDM method. The criteria used in this study are based on UU Republik Indonesia 4/2009. Those criteria are grouped into 3 categories which are natural factors, environmental factors, and aesthetic factors. Natural Factors have sub-criteria such as geomorphology, lithology, and hydrology. Environmental factors are comprised of vegetation, wildlife, distance from main road, distance from settlements, and population density. While aesthetic factors consist of natural features and touristic places. The results showed that from the three methods used which are SAW, MOORA and COPRAS methods, the most suitable method was the COPRAS method with 19/19 aggregation values. The order of sub-districts in Kediri Regency with the most suitable potential for Natural Sandy Gravel (Sirtu) is as follows: Kras, Bulan, Papar, Tarokan, Purwoasri, Mojo, Pare, Ngadiluwih, Kukung, Kandatel, Gampengrejo, Semen, Grogol, Plosoklaten, Ngancar, Puncu, Wates, Kepung, Kandangan.

Original languageEnglish
Pages (from-to)560-571
Number of pages12
JournalInternational Journal of Intelligent Engineering and Systems
Volume13
Issue number5
DOIs
Publication statusPublished - 1 Oct 2020

Keywords

  • COPRAS
  • Fuzzy AHP
  • GIS
  • MCDM
  • MOORA
  • Mining zone
  • SAW

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