Predicting Construction Cost Using Regression Techniques For Residential Building

Abstract

Building prices fluctuate greatly each year. Price fluctuations can be on the prices of building materials, human resources, and other cost requirements used in construction. This fluctuation makes it difficult to estimate how much it will cost to build a house in the next year. There are several studies that have discussed budget plan predictions, but few estimate the planned budget for housing development, especially in Indonesia, because it is not yet known how to predict the cost of housing construction in the future, from here it is necessary to conduct research to obtain a formula in predicting development costs housing. The method is calculating the cost modeling using the regression method, the regression method used is Linear Regression. linear regression studies the linear relationship between the dependent variable Y and a single independent variable X. As a result, the formula obtained for the prediction of the cost of housing construction is y = 1,169,813.19 + (334,729,758) X where y is cost is predicted while X is what year with r2 is 0,10.