The traditional textile industry is characterized by a discrete production pattern, because the manufacturing workshop and equipment are quite old, level of information construction low. To assist enterprises in improving informatization, utilization data, management efficiency, system must strengthen data integration. In this paper, with exponential smoothing method proposed. proposed to manag...

Furniture Agung is an MSME engaged in furniture located the district of Semarang. MSMEs are still conducting data collection, processing and transactions that carried out manually. This process becomes ineffective inefficient because errors can occur recording be lost. research aims to design information system for sales forecasting using exponential smoothing method September 2020 May 2021. Ba...

Robust versions of the exponential and Holt–Winters smoothing method for forecasting are presented. They are suitable for forecasting univariate time series in the presence of outliers. The robust exponential and Holt–Winters smoothing methods are presented as recursive updating schemes that apply the standard technique to pre-cleaned data. Both the update equation and the selection of the smoo...

The most common forecasting methods in business are based on exponential smoothing, and the most common time series in business are inherently non-negative. Therefore it is of interest to consider the properties of the potential stochastic models underlying exponential smoothing when applied to non-negative data. We explore exponential smoothing state space models for non-negative data under va...

Three general classes of state space models are presented, based upon the single source of error formulation. The first class is the standard linear state space model with homoscedastic errors, the second retains the linear structure but incorporates a dynamic form of heteroscedasticity, and the third allows for non-linear structure in the observation equation as well as heteroscedasticity. The...