Penaksiran Kandungan Klorida di Sungai Mahakam Wilayah Samarinda Tahun 2017 dengan Metode Cokriging

  • Eko Prasatyo Putra Laboratorium Statistika Komputasi FMIPA Universitas Mulawarman
  • Rito Goejantoro Laboratorium Statistika Komputasi FMIPA Universitas Mulawarman
  • Suyitno Suyitno Laboratorium Statistika Terapan FMIPA Universitas Mulawarman

Abstract

Cokriging is the interpolation method of value of an unsampled data by minimizing the variance of the estimation error by utilizing cross correlations between the main variable and the additional variable. This study aims to estimate the chloride content in the Mahakam River in Samarinda by using the cokriging method. The data of this study are spatial data that consists of the main variable data  is chloride content and additional variable data is the pH of the water, as well as the coordinates of the observation location. Semivariogram (matrix covariance) is determined based on the best model, namely theoretical semivariogram. The best theoretical semivariogram model for cross variables is the exponential model, while the best theoretical semivariogram model for the main variable and additional variables are the spherical model. The selected theoretical semivariogram model was used to determine the semivariogram matrix in estimating chloride content in IPA Bantuas and Teluk Lerong. The results of estimation of chloride content in IPA Bantuas and Teluk Lerong are 1.91 mg/l and 1.64 mg/l. Based on the estimated chloride content in IPA Bantuas and in Teluk Lerong, it shows that the chloride content is still below the maximum threshold and meets the water chloride content standard for consumption by the Ministry of Health of the Republic of Indonesia, which is a maximum of 250 mg/l.

Published
2021-01-19
How to Cite
PUTRA, Eko Prasatyo; GOEJANTORO, Rito; SUYITNO, Suyitno. Penaksiran Kandungan Klorida di Sungai Mahakam Wilayah Samarinda Tahun 2017 dengan Metode Cokriging. JURNAL EKSPONENSIAL, [S.l.], v. 11, n. 2, p. 175-180, jan. 2021. ISSN 2085-7829. Available at: <http://jurnal.fmipa.unmul.ac.id/index.php/exponensial/article/view/661>. Date accessed: 23 june 2021.