Abstract:
PT. Pandawa Perkasa Surya is a company engaged in the rental of heavy equipment and
heavy equipment contractor services. One of the services provided by PT. Pandawa
Perkasa Surya is in the form of heavy equipment maintenance. Forecasting stock of
spare parts is important in a heavy equipment rental company because by using
forecasting the company can predict the number of spare parts that must be in the
warehouse. In this research, how to apply the Single Exponential Smoothing method to
a web-based application so that it can be used to predict the required spare parts
inventory each month. Based on the results of the experiments and evaluations carried
out, it can be concluded that the supply of spare parts needed in Januari was Filter =
151,182 , Seal = 59.57 , Oring = 81,81 , Engine = 49,16, Fuel System = 42,15 ,
Undercarriage = 182,2 , Dinamo = 3.999, Bolt = 383,3 , and Hose = 346,3.
