Jumlah pengangguran yang tinggi dapat menghambat proses pembangunan ekonomi, sehingga diperlukan sistem peramalan untuk mengetahui jumlah di Asahan berpengaruh terhadap kebijakan pemerintah dalam pengambilan keputusan sebelum terjadinya peningkatan pengangguran. Peramalan ini berdasarkan data aktual kurun waktu 12 tahun menggunakan metode Double Exponential Smoothing (DES). Metode akurasi digun...

Inflasi di Indonesia setiap tahun mengalami fluktuasi yang sangat signifikan. Data lima terakhir adalah sebagai berikut 3.02%, 3.61%, 3.13%, 2.72%, 1.68%. Tentunya banyak faktor menyebabkan naik dan turunnya tingkat inflasi tersebut. Berdasarkan data diambil dari 2001 sampai 2020, diramalkan selanjutnya. Banyak metode digunakan dalam peramalan data. Salah satu tersebut Exponential Smoothing. Un...

Simple exponential smoothing (SES) methods are the most commonly used methods in forecasting and time series analysis. However, they are generally insensitive to non-stationary structural events such as level shifts, ramp shifts, and spikes or impulses. Similar to that of outliers in stationary time series, these non-stationary events will lead to increased level of errors in the forecasting pr...

The raising grandness of multimedia diligence has led to the increase in the usage of network resources. For assuring agreed Quality of Service (QoS) and for better network management, thorough analysis of traffic characteristics, modeling and prediction are crucial. In this process, a simple and effective traffic forecasting method which is suitable for time period prediction of MPEG encoded v...

The prediction of nodal electricity price (NEP) is a primary step to be done before the bidding process starts in actual market environment. NEP plays significant role for efficient working electrical system. follows common trend as during peak hours when load high will also similarly off-peak-load times lower and all node. Thus, accurate forecasting can help generation companies more proactive...