INTEGRATION OF GIS-PCA-AHP METHODS FOR SOIL QUALITY INDEX ASSESSMENT IN NAGARI NANGGALO, KOTO XI TARUSAN SUBDISTRICT, PESISIR SELATAN REGENCY, INDONESIA
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Juniarti Juniarti Gusnidar Gusnidar
Abstract
The determination of the Soil Quality Index (SQI) was a valuable activity for land resource planning and management. This study aimed to evaluate the soil quality index in Nagari Nanggalo, Koto XI Tarusan Subdistrict, Pesisir Selatan Regency, Indonesia, by integrating the Principal Component Analysis (PCA) method with the Analytical Hierarchy Process (AHP) and visualizing the results using Geographic Information Systems (GIS). Based on the PCA analysis, six principal components were identified and weighted using AHP, namely pH (17.40%), OC (34.67%), BS (13.53%), BD (18.50%), K-exch (5.34%), and HC (10.56%). The SQI analysis results showed that 87.90% (324.48 ha) of the area was classified as poor and 12.10% (44.67 ha) as moderate. This study indicated that the area had generally poor soil quality. However, it should be noted that proper soil management, as well as soil and water conservation measures, needed to be considered to improve the current condition and enhance the soil’s carrying capacity. The soil quality index map developed in this study served as a useful tool for decision-making in land management.
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AHP, PCA, GIS, Soil quality index
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