Implementasi Triple Exponential Smoothing dan Double Moving Average Untuk Peramalan Produksi Kernel Kelapa Sawit

The production of palm kernel is a significant product for the company and plays crucial role. Nevertheless, stability not always consistent, quality can be detrimental to company. As consumer demands change over time, companies must anticipate every fluctuation in production. Hence it vital figure long run with settlement prepare utilizing information mining within past. Triple Exponential Smoothing Double Moving Average methods, which are data methods future forecasting, were used this study. aim research predict yield oil using determine level forecasting errors Mean Absolute Percentage Error (MAPE) method. last ten years, from January 2013 December 2022, After testing method parameters α=0.2,β=0.γ=0.2, error rate MAPE was 9.48%, had an 11.2%. results considered very good, while categorized as good based on range values. This expected provide related supporting reference anticipating conclusion that test best forecasting.