Perbandingan Akurasi Metode Inverse Distance Weighting dan Kriging dalam Pemetaan Kedalaman Muka Airtanah
Sadewa Purba Sejati(1*)
(1) Universitas Amikom Yogyakarta
(*) Corresponding Author
Abstract
Every spatial interpolation method provided by geographic information system (GIS) has different accuracy. Therefore, it’s very necessary for GIS users to know the accuracy of every method. This study was performed to determine the comparison of accuracy of inverse distance weighting (IDW) and Kriging spatial interpolation methods to produce information on depth to water table. This study used 65 primary data of depth to water table obtained using systematic random sampling method. The interpolation result of the accuracy of every method was compared by assessing root mean square error (RMSE) and percentage of consistency of validator sample with the resulting model. Data processing showed that the best interpolation method of Kriging was Ordinary Kriging variance. The method produced a model with RMSE value of 2.98 and validator sample consistency of 50%. The best interpolation method of IDW method used power (p) parameter with a value of 3. The method produced an interpolation model with RMSE value of 3.233 and validator sample consistency of 40%. Based on the comparison, it was concluded that Kriging method was more accurate than IDW method because it had smaller RMSE value and bigger percentage of validator sample consistency to interpolation model.
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DOI: https://doi.org/10.22146/mgi.41473
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