The reseach aims to predict the unemployment in the province of North Sumatra in 2020 using the Double Exponential Smoothing (DES) method. The data used is derived from the Central Agency Statistik (BPS) of North Sumatra province where the actual data is taken within 20 years from 2000 to 2019. The accuracy method in this research uses MAD to count the number of errors, MSE to evaluate forecasting methods, and MAPE to calculate the percentage of errors. Results of this research in the form of forecasting the number of unemployment in North Sumatra in 2020 that is 381459 people in the value of alpha 0.6 with a MAD value of 77402.12, MSE value of 12524690448.31, and MAPE value of 16.35%.

The purpose of this study is to predict the demand for catfish that can efficiently and cost effectively through the application of information technology at UD Ulong. The application of information technology referred to is forecasting or forcasting using the Single Moving Average method. Through the application of this method, researchers will maximize the use of the method by taking samples of sales or demand data contained in UD Ulong. Data will be taken sales or demand data for 1 year. Based on these data, researchers will predict demand in the next month. so that the owner of the catfish culture will benefit in predicting the demand for catfish at UD Ulong. Keywords: Forecasting; Single Moving Average Method; Catfish  Abstrak: Tujuan penelitian ini adalah untuk memprediksi permintaan ikan lele yang dapat mengefesiensikan dan mengefektifkan biaya melalui penerapan teknologi informasi pada UD Ulong. Penerapan teknologi informasi yang dimaksud yaitu peramalan atau forecasting menggunakan metode Single Moving Average. Melalui penerapan metode ini, peneliti akan memaksimalkan penggunaan metode dengan mengambil sampel data penjualan atau permintaan yang terdapat pada UD Ulong. Data yang akan diambil adalah data perjualan atau permintaan selama 1 tahun. Berdasarkan data tersebut, peneliti akan memprediksi permintaan di bulan depan sehingga pemilik budidaya ikan lele akan mendapatkan manfaat dalam memprediksi permintaan ikan lele pada UD Ulong. Kata Kunci: Peramalan; Metode Single Moving Average; Ikan Lele