Implementation of Regression Linear Method to Predict WWTP Cost for EIA: Case Study of Ten Malls in Surabaya City

This study aims to implement the linear regression method to generate a linear regression equation that can be used in the study of EIA (Environmental Impact Assessment) to predict the cost of WWTP (Wastewater Treatment Plant) of the data wastewater flowrate with case study of ten malls in Surabaya city.Some previous researchers have produced data on a linear regression WWTP construction costs and wastewater flowrate.In the EIA study in Indonesia, management and monitoring costs include costs of construction, operation and maintenance costs, and monitoring costs.Therefore, these costs will be calculated for WWTP of malls with unit prices prevailing in Surabaya city. The methodology of the study consists of the calculation of the construction cost, the calculation of operation and maintenance cost, the calculation of monitoring cost, and the process of making a linear regression curve. The result showed that from the ten malls, the smallest flowrate was 0.88 l/sec and 6.72 l/sec the largest, while the calculation of the cost was gained at the least as 577x10 6 IDR and the biggest cost was 2163 x10 6 IDR. The linear regression curve between the flow rate WWTP (as independentvariables in the X axis) and the total cost WWTP (as dependent variables in the Y-axis) has produced a regression equation of Y = 358 + 271X. The result of the linear regression equation can be used directly by the EIA committee in Surabaya city and activityinitiator of mall to predict the cost of WWTP quickly and to decide the environmental feasibility of the mall.