Vol 11, No 1 (2015): (Januari 2015)

Aplikasi Metode Jaringan Syaraf Tiruan Backpropagation dalam Meramal Tingkat Inflasi di Indonesia

Saluza, Imelda (Unknown)

Article Info

Publish Date
01 Jan 2015


Inflation is one of the important indicators in analyzing the economy of a country. One aspect that could detect the stability of Rupiah, the Indonesian Currency, is reflected in low inflation and stability. Furthermore, in determining a country’s rate of inflation for a period ahead, time series forecasting could be used as one alternative. Forecasting is a statistical method which plays an important role in delivering a decision. Forecasting the future based on past information from a variable or past mistakes is called time series. The inflation rate is one of financial data, which tends to be non linear and volatile. Therefore, neural network forecasting is used.

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Journal Info





Mathematics Physics


Jurnal Gradien merupakan jurnal ilmiah hasil penelitian yang meliputi bidang Matematika, Fisika, Kimia dan Biologi. Jurnal ini terbit pertama kali pada tahun 2005 dengan frekuensi penerbitan dua kali setahun, yaitu pada bulan Januari dan ...