Multiple Linear Regression Modeling for Analysis of Factors Affecting COD and BOD on River Water Quality in Yogyakarta, Indonesia

Abstract

Many factors can affect the quality of river water in DIY, both the activities of the population and industry. Several river water quality parameters that can be used to determine the health condition of river water are Chemical Oxygen Demand (COD) and Biological Oxygen Demand (BOD). This study tested the effect of TSS and DO on BOD and COD in 10 rivers in DIY. The method used is multiple linear regression modeling. Based on hypothesis testing in multiple linear regression with a significance level of 5%, it is found that TSS and DO significantly affect BOD and COD conditions in 2019. Furthermore, in 2020 only DO significantly affects COD. The prediction result is that if TSS is high then BOD and COD will be predicted to have high value. If DO is high then COD and BOD will be predicted to be low.