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All Journal Jurnal Ekonomi Pembangunan Journal of Innovation and Applied Technology JFMR (Journal of Fisheries and Marine Research) Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Jurnal Varian
Evellin Dewi Lusiana
Universitas Brawijaya
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Environmental Science Mathematics Social Sciences Other

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Journal : Jurnal Varian

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Factors Affecting Dissolved Oxygen at Bengawan Solo River: A Spatial Filtering with Eigenvector Technique Evellin Dewi Lusiana; Arief Darmawan; Sarah Hutahaean; Muhammad Musa; Mohammad Mahmudi; Sulastri Arsad
Jurnal Varian Vol 5 No 1 (2021)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/varian.v5i1.1407

Abstract

The quality of the river changes according to the development of the surrounding environment which is influenced by various human activities. Analysis of factors affecting Dissolved Oxygen (DO) at Bengawan Solo River is crucial for river management purpose and pollution control. Previous research suggested the use classic multiple linear regression. However, DO measurement were usually took place of sampling sites along the river channel. Therefore, there is a high chance that the measurements results may spatially correlated. As the consequence, the utilization of multiple linear regression technique for the dataset can be inappropriate. In this paper, we applied a modification of multiple linear regression model to incorporate with spatial autocorrelation that exist in the data by adding control variable such vector eigen to the model which known as Spatial Filtering with Eigenvector (SFE). The results showed that nitrate and nitrite were the predictor variables that have a negative and significant effect. However, the model contains spatial autocorrelation. The application of SFE technique by adding three eigenvectors as control variables in the model succeeded in making the residual model free from spatial autocorrelation. However, a new problem arose where there was a violation of the non-heteroscedasticity assumption.
Co-Authors Aminuddin Afandi Aminudin Afandhi Arief Darmawan Asus Maizar Suryanto H Dwi Ayu Lusia Mohammad Mahmudi Muhammad Musa Nanik Retno Buwono Renanda Baghaz Dzulhamdani Surya Putra Sarah Hutahaean Sri Andayani Sulastri Arsad Sulastri Arsad Syahril Ramadhan Tisya W. Nisya Wahyudi Arif