Prediksi Jumlah Wisatawan Menggunakan Metode Random Forest, Single Exponential Smoothing dan Double Exponential Smoothing di Provinsi NTB

The aim of study is to forecast global tourist visits and compare the forecasting methods determine best method using random forest, single exponential smoothing double smoothing, respectively. These are applied in visit data West Nusa Tenggara Province. Random familiar frequently utilized forecasting. In addition, three have great accuracy for time series data, such as visits. used this from 2014 2021 province. Applying forecasting, result shows that best, based on smallest value Mean Absolute Percentage Error (MAPE) 325.759. found out will increase previous time, starting August, July, with an estimated 847 1045 lives