Penerapan Geostatistika Ordinary Kriging dalam Estimasi Harga Tanah (Studi Kasus: Kecamatan Samarinda Utara Kota Samarinda)

Mutiara Ayu Lestari, Piter Lepong, Adrianus Inu Natalisanto
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Abstract

Abstract Ordinary kriging geostatistical method is an interpolation method that used spatial data. This method generally used to estimate coal and mineral resources. However, over time this method is also used in estimating land prices. The purpose of this research is to determine the best model for land price estimation in North Samarinda District, especially in Sempaja Selatan Sub-District between spherical models, Exponential models and Gaussian models and to determine land price estimation using ordinary kriging geostatistical method based on the best semivariogram model displayed in the form of a contour map. The estimation process begins by  create an experimental semivariogram and a structural analysis which is carried out to obtain sill, nugget and range. Then, interpolated using the three models to get the predicted value and calculated RMSE to determine the performance of the model,  which the spherical model is the best model  because it has the smallest RMSE value. From this method, a contour map of the estimation results of land prices in Sempaja Selatan Sub-District of North Samarinda District is obtained. The lowest land prices are found to be predominantly located in the northwest and north of Sempaja Selatan Sub-District. The lowest price of the land range from Rp. 279,000,- to Rp. 900,000,- per m2 and the highest price of land is predominantly located in the southern part of Sempaja Selatan Sub-District with prices ranging from Rp. 2,982,000, - to Rp. 4,981,000, - per m2. The variation in land prices in Sempaja Selatan Sub-District of North Samarinda District is influenced by physical factors, namely the elevation and slope of the slope. Low land prices tend to be in areas of high elevation and steep slopes, while high land prices are at low elevations and with a slope that is flat. So from this, it can be said that the land price is inversely proportional to the physical factor of the land.
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普通克里格地统计学方法是一种利用空间数据的插值方法。这种方法一般用于煤炭和矿产资源的估算。然而,随着时间的推移,这种方法也被用于估算土地价格。本研究的目的是在球面模型、指数模型和高斯模型之间确定北萨马林达区特别是森帕加塞拉坦街道土地价格估算的最佳模型,并基于以等高线图形式显示的最佳半变异函数模型确定普通克里格地统计学方法的土地价格估算。估计过程首先是创建一个实验半变异函数和进行结构分析,以获得静止、核块和范围。然后对三种模型进行插值,得到预测值并计算RMSE,以确定模型的性能,其中球面模型的RMSE值最小,是最佳模型。利用该方法,获得了北萨玛林达区Sempaja Selatan街道地价估算结果的等高线图。土地价格最低的地区主要位于Sempaja Selatan街道的西北部和北部。土地的最低价格从每平方米27.9万卢比到每平方米90万卢比不等,土地的最高价格主要位于Sempaja Selatan街道的南部,价格从每平方米298.2万卢比到498.1万卢比不等。北萨玛林达区Sempaja Selatan街道的土地价格变化受物理因素的影响,即斜坡的高程和坡度。地价低的地区往往是海拔高、坡度陡的地区,而地价高的地区往往是海拔低、坡度平坦的地区。由此可见,地价与土地的物理因素成反比。
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