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4.148  Articles
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The high number of cases of violence in children today is increasing. Among the cases of child abuse are physical torture, sexual harassment and neglect. Every year violence in children increases with different patterns of behavior. Various efforts were m... see more

The purpose of this study is to examine factors that affect companies presents the elements of integrated reporting in their annual reports and how its effect on the accuracy of earnings forecast analysis and information asymmetry. The independent variabl... see more

Short-term Load Forecast (STLF) is a load forecasting that is very important to study because it determines the operating pattern of the electrical system. Forecasting errors, both positive and negative, result in considerable losses because operating cos... see more

Accurate weather forecasts play an important role in today's world as various sectors such as marine, navigation, agriculture and industry are basically dependent on weather conditions. Weather forecasts are also used to predict the occurrence of natural ... see more

Purpose: To be able to compete with other companies, it is necessary to estimate and forecast jeans products that will be ordered according to consumer demand every month, so that there is no excess inventory and product shortage. If there is a shortage o... see more

The Double Exponential Smoothing (DES) and Triple Exponential Smoothing (TES) are forecasting methods that require two and three smoothing parameters, respectively. Smoothing parameters are often determined through a trial and error process that is not re... see more

Logistics general company or Perum BULOG is a state-owned public company engaged in food logistics, especially rice. To carry out its functions, this agency is assisted by several regional divisions or subdivisions, one of which is the Medan Sub-Divisiona... see more

This study aims to determine the prediction of the number of deaths due to traffic accidents in the city of Medan in 2009 - 2018. This study was conducted with quantitative forecasting, namely forecasting based on quantitative data in the past. The data o... see more

The traditional Back-propagation algorithm has several weaknesses, including long training times and significant iterations to achieve convergence. This study aims to optimize traditional Back-propagation using the cyclical rule method to cover these weak... see more

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