WEB-GIS KESESUAIAN LAHAN UNTUK PENGEMBANGAN HUTAN KOTA MENGGUNAKAN METODE MULTI-CRITERIA DECISION MAKING
DOI:
https://doi.org/10.36341/rabit.v6i2.1739Kata Kunci:
Web-GIS, SIG, Kesesuaian Lahan, Pengembangan Hutan Kota, Ruang Terbuka Hijau, MCDM, WSM, AHP, Cohen’s Kappa.Abstrak
Forests are expanses of land that grow compact and dense trees in urban areas, both on state land and private land. Urban forests in urban areas are determined by the competent authority. The function of urban forests is to improve and maintain the microclimate and aesthetic value, absorb water, and support the preservation of Indonesia's biodiversity. The Department of Environment and Hygiene (DLHK) of Sidoarjo Regency is one of the institutions that regulates urban forest development. However, the DLHK still doesn't know which areas in Sidoarjo Regency can make urban forests. The purpose of this study is to provide information on the development of land suitable for use as urban forest, a type of residential area based on Web-GIS in Sidoarjo Regency. The methods used for modeling spatial data using Multi-Criteria Decision Making (MCDM) include the Analytical Hierarchy Process (AHP) and the Weighted Sum Model (WSM) method. Parameters based on population, area height, number of companies, and standard land area to determine land suitability for urban forest development in each sub-district with a case study in Sidoarjo Regency. The classification of urban forests on the results of spatial data modeling includes land with unsuitable, suitable, and very suitable categories. The results of the comparison test of the two MCDM methods using Cohen's kappa coefficient (κ) resulted in an average value of = 0.07 for urban forests with residential areas. Conclusions from spatial data modeling to use AHP and WSM methods in urban forest residential area types have different results to be used in the calculation of land suitability in urban forest development.
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