Aplikasi Peramalan penjualan biji kopi mentah berbasis web menggunakan metode Single Exponential Smoothing (Studi kasus : UD. Marulitua coffee)
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Institusion
Institut Teknologi Perusahaan Listrik Negara
Author
Sihombing, Ubed
Agtriadi,, Herman Bedi
Ningrum, Rahma Farah
Agtriadi,, Herman Bedi
Ningrum, Rahma Farah
Subject
Teknik Informatika
Datestamp
2022-09-20 02:02:07
Abstract :
The process of buying and selling in a business requires the existence of forecasting. Forecasting the sale of raw coffee beans to balance the sales process where forecasting is an alternative to making decisions in an effort to prepare the right business process. This forecasting application for selling Web-based raw coffee beans uses the Single Exponential Smoothing method. In the application of the Single Exponential Smoothing method it will be useful to calculate the refinement of pre-existing data and view sales figures in the next month or period to get results according to buyer demand. The application of the Single Exponential Smoothing method uses sales data of less than two years (2017 - 2018). From the results of calculations performed the calculation of the difference in value from 0.1 to 0.9 performed with RMSE produces ? (0.9) = 77 better accuracy with a smaller and stable difference. From the constant ? = 0.9 calculation 24 sales data, there is a 75% conformity between the forecast value and the actual sales value
The process of buying and selling in a business requires the existence of forecasting. Forecasting the sale of raw coffee beans to balance the sales process where forecasting is an alternative to making decisions in an effort to prepare the right business process. This forecasting application for selling Web-based raw coffee beans uses the Single Exponential Smoothing method. In the application of the Single Exponential Smoothing method it will be useful to calculate the refinement of pre-existing data and view sales figures in the next month or period to get results according to buyer demand. The application of the Single Exponential Smoothing method uses sales data of less than two years (2017 - 2018). From the results of calculations performed the calculation of the difference in value from 0.1 to 0.9 performed with RMSE produces ? (0.9) = 77 better accuracy with a smaller and stable difference. From the constant ? = 0.9 calculation 24 sales data, there is a 75% conformity between the forecast value and the actual sales value
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