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PENERAPAN METODE SINGLE EXPONENTIAL SMOOTHING UNTUK PREDIKSI PENJUALAN PRODUK MASKER KECANTIKAN
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Institusion
Institut Teknologi Perusahaan Listrik Negara
Author
ALKHAIR, NUR
Aziza, Rosida Nur
Kuswardani, Dwina
Subject
Teknik Informatika 
Datestamp
2022-09-20 03:50:04 
Abstract :
Single Exponential Smoothing forecasting method is a periodic forecast model (Time Series) used in this study. The problem that will be discussed in this study is how to predict sales of beauty mask products for the next month using data from the last 5 years. With the Single Exponential Smoothing method and see the smallest RMSE results. The results of data analysis using the Single Exponential Smoothing method using alpha values of 0.3, 0.4, 0.5 obtained the RMSE accuracy value for the Kyau Peel Off Mask Classic Series product 20gr alpha value of 0.3 with the smallest RMSE accuracy value of 18,514, for the LEA Gloria mask product 20gr the value alpha 0.3 with the smallest RMSE accuracy value of 16,919, and for the Bemahira Beauty Face Mask 15gr product the value of 0.3 with the smallest RMSE accuracy value of 21,163. Based on the tests carried out, it was found that the Single Exponential Smoothing method on the 3 products above got the smallest RMSE value at an alpha value of 0,3. 
Institution Info

Institut Teknologi Perusahaan Listrik Negara