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All Journal Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering)
Idah Andriyani
Jember University
Agriculture, Biological Sciences & Forestry Engineering

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Distribution of Water Quality Parameters Using Equation Multiple Linear Regression Sri Wahyuningsih; Idah Andriyani; Siswoyo Soekarno; Deffa Khoirulloh
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol 13, No 4 (2024): December 2024
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v13i4.1422-1431

Abstract

Mayang River in Jember Regency has a strategic role in fulfilling people's lives and is a source of water for 79 irrigation areas with a total area of 16,471 hectares. Community use of the Mayang River has the potential to provide input of organic material from waste which can reduce river water quality. The aim of this research is to analyze the spatial distribution of water quality parameters, namely TSS, TDS, pH, DO and BOD. This research uses multiple linear regression techniques to determine the value of the distribution or spatial distribution of Mayang River pollution, as well as identifying water quality variables that are correlated in each region. The research results show that water quality parameters that have a strong correlation are pH (r = 0.74), DO (r = 0.72) and TSS (r = 0.65), moderate correlation with BOD parameters (r = 0.48) and low correlation with BOD parameters. TDS parameters (r = 0.25). Based on the analysis results, it is known that water quality parameters are correlated with different activities in each region. The results of this research can be used as a strategy for monitoring water quality in the Mayang River to control the impact of human activities in the surrounding area. Keywords: Multiple Linear Regression, Spatial Distribution, Water Quality.
Interpolation of Total Dissolved Solids (TDS) Concentration in A River Using Ordinary Kriging Method Sri Wahyuningsih; Idah Andriyani; Dian Purbasari; Trioda Rizqi Nurcahyo
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol 14, No 3 (2025): June 2025
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v14i3.858-865

Abstract

Water quality is a key indicator related to the sustainability of living things in a watershed. However, human activities have led to a decline in the water quality caused by industrial, domestic and agricultural waste. This study aims to predict the pattern of TDS parameters at unsampled points through a geostatistical approach, namely Kriging. Experimental measuements were conducted in the Bedadung River, Jember Regency, especially in a segment of Patrang to Wuluhan sub-districts. Currently, the river is classified as Class 3, which is below the standard, one of the water quality parameters is TDS (Total Dissolved Solid). The TDS estimation results were obtained in the range of 48.26 mg/L - 175.52 mg/L. The predicted value of TDS using the kriging method at unsampled points resulted in an RRMSE value of 8.40 %. This study revealed that the water quality of Bedadung River from Patrang to Wuluhan sub-districts was still below Class 2 standards, emphasizing the need for continuous monitoring and improvement efforts. Keywords: Ordinary kriging, River water quality, Semivariogram, Total dissolved solid.
Co-Authors Deffa Khoirulloh Dian Purbasari siswoyo soekarno Trioda Rizqi Nurcahyo Wahyuningsih, Sri