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All Journal Jurnal Riset Informatika
Muhammad Ihsan
STMIK Royal Kisaran
Computer Science & IT

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FORECASTING OYSTER MUSHROOM SALES USING THE DOUBLE EXPONENTIAL SMOOTHING METHOD AT KUB RUMAH MUSHROOM BERSAMA Winda Wulandari; Havid Syafwan; Muhammad Ihsan
Jurnal Riset Informatika Vol 4 No 4 (2022): Period of September 2022
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (989.569 KB) | DOI: 10.34288/jri.v4i3.417

Abstract

The amount of oyster mushroom production is often not by consumer orders due to a lack of attention to the mushroom stock in the Mushroom House KUB. The purpose of this study is to apply double exponential smoothing (DES) to predict future sales of oyster mushrooms so that consumer needs are met. This research method uses quantitative methods. The data source comes from data on sales of oyster mushrooms from June 2021-May to 2022. The data is analyzed using double exponential smoothing based on alpha and MAPE values. The results showed that an alpha of 0.6 with a MAPE value of 6.23% was the alpha with the smallest MAPE. This study concluded that the double exponential smoothing method could accurately predict future oyster mushroom sales.
FORECASTING OYSTER MUSHROOM SALES USING THE DOUBLE EXPONENTIAL SMOOTHING METHOD AT KUB RUMAH MUSHROOM BERSAMA Winda Wulandari; Havid Syafwan; Muhammad Ihsan
Jurnal Riset Informatika Vol. 4 No. 4 (2022): September 2022
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (912.963 KB) | DOI: 10.34288/jri.v4i4.191

Abstract

The amount of oyster mushroom production is often not by consumer orders due to a lack of attention to the mushroom stock in the Mushroom House KUB. The purpose of this study is to apply double exponential smoothing (DES) to predict future sales of oyster mushrooms so that consumer needs are met. This research method uses quantitative methods. The data source comes from data on sales of oyster mushrooms from June 2021-May to 2022. The data is analyzed using double exponential smoothing based on alpha and MAPE values. The results showed that an alpha of 0.6 with a MAPE value of 6.23% was the alpha with the smallest MAPE. This study concluded that the double exponential smoothing method could accurately predict future oyster mushroom sales.
IMPLEMENTATION OF SIMPLE ADDITIVE WEIGHTING TO DETERMINE THE BEST EMPLOYEES IN THE CAMAT TINGGI RAJA OFFICE Cindy Eka Putri; Havid Syafwan; Muhammad Ihsan
Jurnal Riset Informatika Vol. 4 No. 4 (2022): September 2022
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v4i4.192

Abstract

Decision-making for the best employees in Camat Tinggi Raja Tinggi Office requires objective and transparent considerations to select the best employees. This study aimed to apply the Simple Additive Weighting (SAW) method to determine the best employees in Camat Tinggi Raja Tinggi Office. This research method used quantitative methods. The data collected was in the form of employee data of the Raja Tinggi Subdistrict Office in the form of names, attitudes, work discipline, loyalty, responsibilities, and task completion. Data were analyzed using the SAW method based on preference values. The results showed that the employee with the name S had the highest preference value, 0.88. This research concludes that the SAW method decides the best employee in Camat Tinggi Raja Tinggi Office, namely the employee with the name S.
Co-Authors Cindy Eka Putri Havid Syafwan Winda Wulandari