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Jurnal Geografi Lingkungan Tropik (Journal of Geography of Tropical Environments)

Abstract

This study aims to determine seawater intrusion (SWI) based on sample sizes' contribution to land cover characteristics' accuracy using inverse distance weighting (IDW) and Kriging. The SWI is explained based on the extracted salt concentration from the dissolved soil. Here, this study used 24 samples of salt concentration, namely salinity samples collected by systematic random sampling and divided into two groups: ground control points (GCP) and independent checkpoints (ICP). Two interpolation methods, namely IDW and Kriging, are used to make a spatial prediction of the SWI, and their results are evaluated based on their accuracy by observing the root mean square error (RMSE). Based on the results of the best interpolation method using various sample size scenarios considering the knowledge to consider sufficient samples for SWI estimation, namely, the Kriging method produces the lowest RMSE value of 0.011 in model 1 and the highest RMSE value of 0.025 in model 3. The kriging method does not work well if the sample number is small. Compared to IDW, which has the highest RMSE value of 0.028 in model 3 and the lowest RMSE value of 0.13, respectively, in model 1. At the same time, the IDW method can work well even though the sample size is small. However, both interpolation methods are suitable for detecting seawater intrusion in Way Urang Village. In this study also, land cover affects the dynamics of salt concentration so that open land may have a higher salinity value than shrubs and vegetation with low salinity values causing the soil in Way Urang Village not to be polluted by seawater intrusion because the salinity concentration does not exceed the limit.

Bahasa Abstract

Penelitian ini bertujuan untuk menentukan intrusi air laut (SWI) berdasarkan kontribusi ukuran sampel terhadap akurasi karakteristik tutupan lahan menggunakan inverse distance weighting (IDW) dan kriging. SWI dijelaskan berdasarkan konsentrasi garam yang diekstraksi dari tanah terlarut. Disini, penelitian ini menggunakan 24 sampel konsentrasi garam yaitu sampel salinitas yang dikumpulkan dengan sistematik random sampling dan dibagi menjadi dua kelompok yaitu ground control point (GCP) dan independent check point (ICP). Dua metode interpolasiya yaitu IDW dan kriging digunakan untuk membuat prediksi spasial SWI dan hasilnya dievaluasi berdasarkan akurasinya dengan mengamati root mean square error (RMSE). Berdasarkan hasil metode interpolasi terbaik dengan menggunakan berbagai skenario ukuran sampel mengingat pengetahuan untuk mempertimbangkan sampel yang cukup untuk estimasi SWI yaitu metode kriging menghasilkan nilai RMSE terendah sebesar 0,011 pada model 1 dan nilai RMSE tertinggi sebesar 0,025 pada model 3 .Metode kriging tidak bekerja dengan baik jika jumlah sampel sedikit. Dibandingkan dengan IDW yang memiliki nilai RMSE tertinggi yaitu 0,028 pada model 3 dan nilai RMSE terendah masing-masing sebesar 0,13 pada model 1. Sedangkan metode IDW dapat bekerja dengan baik meskipun ukuran sampelnya kecil. Namun kedua metode interpolasi tersebut cocok untuk mendeteksi intrusi air laut di Kelurahan Way Urang. Dalam penelitian ini juga tutupan lahan mempengaruhi dinamika konsentrasi garam sehingga lahan terbuka dapat memiliki nilai salinitas yang lebih tinggi daripada semak dan vegetasi dengan nilai salinitas rendah menyebabkan tanah di Kelurahan Way Urang tidak tercemar oleh intrusi air laut karena konsentrasi salinitas tidak tidak melebihi batas.

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