PREDIKSI INFLASI BIAYA HIDUP MENGGUNAKAN METODE RADIAL BASIS FUNCTION (RBF) (STUDI KASUS: KOTA TANJUNGPINANG)

Abstract

The increase and decrease in prices of goods that occur in general in the city of Tanjungpinang has a worrying impact on society. The increase and decrease that occurs not only in goods, but also in services. The most frequent increase and decrease in goods and services is the people's basic needs or the decline in the selling power of a country's currency. Inflation that often occurs due to the high demand for goods and services, while the stock of goods that are not available, this causes the price of goods and services to soar. Because of this research was conducted with data patterns that have influence variables such as foodstuff, processed food, housing, clothing, health, education, transportation, general data, used as many as 108 data, taken from January 2009 to december 2010. Research This is done by using the ANN method, Radial Basis Function, on the RBF method of training which is relatively shorter and produces a good prediction level. In this RBF method has stages such as the random center selection. From the data as much as 108 data divided into 2, as much as 74 data as training data, and 33 data as test data, in the training and testing using 25 centers get an average RMSE result of 0,145 for training and an average RMSE result of 0,006 for testing data.