PERAMALAN BANYAK KUNJUNGAN WISATAWAN KE PROVINSI NUSA TENGGARA BARAT (NTB) DENGAN MENGGUNAKAN IMPROVED GREY MODEL (

Rokhman, Muhammad Khoirur, Danardono

2016 | Skripsi | FMIPA

Forecasting is a process of predicting future conditions by using the data from the past. Forecasting can be used as a basis of decision making. Besides, it provides information that enables us to control future and to predict changes based on past patterns. Unfortunately, data used in forecasting process is often very limited. To overcome the problem, a forecasting technic named Improved Grey Model (1,1) – known as IGM (1,1) is used. This method can be applied to forecast data in the upcoming period, for small or medium amount of data. IGM (1,1) is a modification of Grey Model (GM) (1,1).

Kata Kunci : forecast, limited data, Grey forecasting model, initial value, background value, Improved Grey Model.