Comparison of Linear Regression, Neural Net, and Arima Methods For Sales Prediction of Instrumentation and Control Products In PT. Sarana Instrument

PT. Sarana Instrument is a national private company which an authorized sales agent for several instrumentation and control products originating from European countries the United States in Indonesia. Every certainly targets to be achieved every year, that needs forecasting. does not currently have prediction system so making annual targets, it still uses manual estimates by looking at data previous year's sales. So cannot get accurate predictions prepare human resources financial according company's needs. Therefore, forecasting needed help make forecasts. The purpose of this study was analyze error rate 2013-2021 algorithm, namely Linear Regression Algorithm, Neural Net Arima, order obtain forecast method with smallest can implemented Instrument.