Proceedings of the 2nd Workshop on Multidisciplinary and Applications (WMA) 2018, 24-25 January 2018, Padang, Indonesia

Research Article

A Medical Disposable Supply Demand Forecasting By Moving Average And Exponential Smoothing Method

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  • @INPROCEEDINGS{10.4108/eai.24-1-2018.2292378,
        author={H D E Sinaga and N  Irawati},
        title={A Medical Disposable Supply Demand Forecasting By Moving Average And Exponential Smoothing Method},
        proceedings={Proceedings of the 2nd Workshop on Multidisciplinary and Applications (WMA) 2018, 24-25 January 2018, Padang, Indonesia},
        publisher={EAI},
        proceedings_a={WMA-2},
        year={2020},
        month={2},
        keywords={medical supplies demand forecasting moving average exponential smoothing},
        doi={10.4108/eai.24-1-2018.2292378}
    }
    
  • H D E Sinaga
    N Irawati
    Year: 2020
    A Medical Disposable Supply Demand Forecasting By Moving Average And Exponential Smoothing Method
    WMA-2
    EAI
    DOI: 10.4108/eai.24-1-2018.2292378
H D E Sinaga1,*, N Irawati1
  • 1: Computer Science/Informatics Study Program, STMIK Royal Kisaran, Asahan, Indonesia , Prof.HM. Yamin 173 Kisaran, Sumatera Utara, Indonesia, 21222
*Contact email: omisinaga@yahoo.com

Abstract

Medical disposable is one of the important support tools in medical operational and must not be out of stock in order to deliver excellent service in hospital. The pharmacy department has to forecast the demand to supply information for decision making in budgeting. Since the pharmacy still has no forecasting method then in this paper compare single moving average and single exponential smoothing technique.The accuracy of forecasting is the most important and it can be measured with RMSE (Root Mean Square Value). The smallest value of RMSE is having high accuracy of forecasting. The method that has smallest RMSE (66.19) is Exponential Smoothing method with α= 0.1 and be the best option to use a method to forecast the medical disposable supply demand.