The textile industry produces a significant amount of wastewater globally, which contains a wide range of chemicals known to cause health problems such as cancer and hormonal damage in individuals. The purpose of this research is to attain optimal elimination of these chemicals from wastewater generated by the textile industry, aiming for maximum effectiveness. In this study, real textile industry wastewater will be subjected to Advanced Oxidation Processes (AOPs). The effect of various factors on removal of color, suspended solids, pH, and COD will be assessed using a multiple linear regression model in both ozonation and electrochemical oxidation treatments. The independent variables in this study are the initial pH, current, and electrolysis time. In the ozonation process, the wastewater will be treated with ozone gas, a powerful oxidizing agent, to degrade and eliminate diverse pollutants present in the industrial wastewater. In electrochemical oxidation (EO) process, the wastewater undergoes treatment by applying a direct current. This current induces oxidation reactions at the anode, leading to the production of hydroxyl radicals that react with the contaminants. EO has proven to be a highly effective method for the removal of various types of pollutants, such as dyes, organic compounds, and heavy metals. The absorbance of the solution will be measured using a spectrophotometer, while the determination of the COD will be conducted using the closed reflux colorimetric method. The possible outcome of this experiment will be maximum removal of COD and color of wastewater. AOPs have proven to be highly efficient techniques for the treatment of wastewater generated by the textile industry. Their utilization offers a promising solution to mitigate the environmental consequences associated with textile production. Consequently, the adoption of AOPs as an alternative to conventional wastewater treatment methods holds great promise for the textile industry in reducing its environmental footprint.