COMPARISON OF SINGLE EXPONENTIAL SMOOTHING METHOD WITH DOUBLE EXPONENTIAL SMOOTHING METHOD PREDICTION OF SALT SALES
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Abstract
Predicting the quantity of product sales in the future aims to control the amount of existing product stock, so that the shortage or excess of product stock can be minimized. When the quantity of sales can be predicted accurately, the fulfillment of consumer demand can be managed in a timely manner and the company's cooperation with consumers is maintained properly so that the company can avoid losing sales and consumers. This study aims to analyze the accuracy of predicting the quantity of sales of salt using the Single Exponential Smoothing (SES) method compared to using the Double Exponential Smoothing (DES) method, so that a more accurate method will be obtained for predicting the quantity of sales. The results of testing the comparison of the level of accuracy can be done by evaluating the error value of the forecasting results with the Mean Absolute Percentage Error (MAPE). The lowest MAPE result obtained is in the SES method when the parameter α = 0.054 with a MAPE result of 7.932% which means the accuracy value is very accurate. Whereas with the DES method the MAPE value is 28.145% while the parameter α = 0.845 β = 0.214 which means the value of accuracy is reasonable. Based on the MAPE results obtained using the two methods above, the Single Exponential Smoothing method is more accurate for use in predicting salt sales. Whereas with the DES method the MAPE value is 28.145% while the parameter α = 0.845 β = 0.214 which means the value of accuracy is reasonable. Based on the MAPE results obtained using the two methods above, the Single Exponential Smoothing method is more accurate for use in predicting salt sales. Whereas with the DES method the MAPE value is 28.145% while the parameter α = 0.845 β = 0.214 which means the value of accuracy is reasonable. Based on the MAPE results obtained using the two methods above, the Single Exponential Smoothing method is more accurate for use in predicting salt sales
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References
R. Gustriansyah, "Analysis of the Single Exponential Smoothing Method with Brown Exponential Smoothing in Case Studies Predicting the Quantity of Sales of Pharmaceutical Products in Pharmacy," Semin. Nas. Technol. inf. and Multimed., pp. 7–12, 2017.
A. Hartono, D. Dwijana, and W. Handiwidjojo, "Comparison of the Single Exponential Smoothing Method and the Exponential Smoothing Adjusted Method for Trend," J. EKSIS, vol. 5, no. 1, pp. 8–18, 2012.
AB Santoso, MS Rumetna, and K. Isnaningtyas, "Application of the Single Exponential Smoothing Method for Sales Forecasting Analysis," J. Media Inform. Budidarma, vol. 5, no. 2, pp. 756–761, 2021, doi: 10.30865/mib.v5i2.2951.
R. Hayami, Sunanto, and I. Oktaviandi, "Application of the Single Exponential Smoothing Method in Predicting Bed Sheet Sales," J. CoSciTech (Computer Sci. Inf. Technol., vol. 2, no. 1, pp. 32–39, 2021.
YN Marlim and A. Hajjah, “Inventory Forecasting System Using the Brown Exponential Smoothing Method,” JOISIE (Journal Inf. Syst. Informatics Eng., vol. 5, no. 2, pp. 146–152, 2021, doi: 10.35145/ joisie. v5i2.1738.
EAN Putro, E. Rimawati, and RT Vulandari, "Prediction of Paper Sales Using the Double Exponential Smoothing Method," J. Teknol. inf. and Commun., vol. 9, no. 1, pp. 60–68, 2021, doi: 10.30646/tikomsin.v9i1.548.
S. Anggraeni and J. Arifin, "Forecasting Printing Requests Using the Double Exponential Smoothing Method and Testing Results Using Tracking Signal Graphics at PT. XYZ,” Film. Forum for Educators, vol. 8, no. 13, pp. 430–439, 2020.
S. Nurrohmah and E. Kurniati, "Application of the Double Exponential Smoothing Method from Brown for Forecasting the Amount of Water Production," Mathematics, vol. 21, no. 1, pp. 49–60, 2022.
MH Elison, R. Asrianto, and Aryanto, "Prediction of Flower Board Sales Using the Double Exponential
Smoothing Method," J. Ris. Sist. inf. and Technol. Inf., vol. 2, no. 3, pp. 45–56, 2020, doi: 10.52005/jursistekni.v2i3.60.
LD Indrasari, "Application of Single Exponential Smoothing (SES) in Calculating the Demand for Mineral Water at PT. Akasha Wira International,” J. Ilm. Tech. and Manaj. ind. Univ. Kadiri, vol. 3, no. 2, pp. 104–116, 2020, doi: 10.30737/jatiunik.v3i2.842.
D. Purwanti and J. Purwadi, "Brown's Double Exponential Smoothing Method in Forecasting the Inflation Rate in Indonesia," J. Ilm. Matt., vol. 6, no. 2, pp. 54–61, 2019, doi: 10.26555/convergence.v6i2.19548.