Please use this identifier to cite or link to this item: http://repository.unmul.ac.id/handle/123456789/23727
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dc.contributor.authorNatalisanto, Adrianus Inu-
dc.contributor.authorLepong, Piter-
dc.contributor.authorLestari, Mutiara Ayu-
dc.date.accessioned2022-03-11T18:01:12Z-
dc.date.available2022-03-11T18:01:12Z-
dc.date.issued2021-12-
dc.identifier.issn2722-7707-
dc.identifier.urihttp://repository.unmul.ac.id/handle/123456789/23727-
dc.description.abstractThe Ordinary kriging geostatistical method is an interpolation method that used spatial data. This method is 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 a land price estimation in Sempaja Selatan Sub-District between spherical models, Exponential models, and Gaussian models, and the best semivariogram model displayed in the form of a contour map. 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 because it has the smallest RMSE value. In this method, a contour map of the estimation results of land prices in the Sempaja Selatan. 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. 279.000,00 to Rp. 900.000,00 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. 2.982.000,00 to Rp. 4.981.000,00 per m2 .en_US
dc.description.sponsorshipUcapan terima kasih penulis kepada BPN Kanwil sebagai penyedia data harga tanahen_US
dc.language.isootheren_US
dc.publisherProdi Fisika FMIPA Unmulen_US
dc.relation.ispartofseries;2-
dc.subjectEstimation, Ordinary Kriging, Spherical Modelen_US
dc.titlePenerapan Geostatistika Ordinary Kriging dalam Estimasi Harga Tanah (Studi Kasus: Kecamatan Samarinda Utara Kota Samarinda)en_US
dc.typeArticleen_US
Appears in Collections:A - Mathematics and Natural Sciences

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