Hybrid NEW KEYNESIAN Phillips curve in the present study, using quarterly data over the period to 4q1389 1q1375 based on GMM is estimated, using the criteria stipulated Kayyk an ARIMA model was In the end, inflation, using both MODELS, in both four and eight-period horizon, and the root mean square error of prediction MODELS were compared HNKPC estimation results indicate that past prices influence future prices more than the rate of inflation and the output gap was positive and significant. Shows that increasing the level of potential output gap, inflation increased by 41%, ie expansionary policies to enhance product will lead to inflation. Then specify a model ARMA (4, 4) and inflation forecasts, the results show that both forecast horizons, NEW KEYNESIAN Phillips curve, the root mean square error (RMSE) is less than the ARMA model and better able to predict inflation.