Data Mining Forecasting Sales of Building Materials on CV. Forward Together in Surabaya with Use Time Series

Abstract

Forecasting is one of the elements essential to making a decision. With increasing competition among entrepreneurs with other entrepreneurs so forecasting is necessary to improve the quality of a building material for consumer satisfaction on the CV. Maju Bersama. The problems will be discussed in this study is to implement the method Deseasonalizing and Exponential Smoothing method for forecasting a building material on the CV. Maju Bersama. The purpose of this research was to determine the forecasting sales of building materials in the future. In this research the procedure used is problem identification, formulation of the problem observation, analysis and drawing conclusions. Data from this research is data from the CV. Forward Together between January 2017 until June 2019. The results obtained from this research is the sale price of building materials with Exsponential smooting MAE method with the accuracy of the smallest value of α = 0.01 is single Exsponential smooting with Randu value α = 0.75 with MAE = 121.41, Bamboo ori value α = 0.97 with MAE = 74.3, Gelam value of α = 0.01 with MAE = 117,15 and MAE values Deseasonalizing. MAE value for randu = 69.55, gelam with value MAE = 177.17, bambu Ori MAE = 117.66. The results of this research is expected to be input to the CV. Maju bersama in taking a decision in improving the quality of construction materials for consumer satisfaction.