Penerapan Artificial Neural Network dalam Memprediksi Tingkat Inflasi di Indonesia

Application of Artificial Neural network s in Predicting Inflation Rates in Indonesia

Abstract

Bank Indonesia defines inflation as a general and sustained increase in prices, which if widespread will potentially affect other price increases resulting in a decrease in the value of money. The purpose of this research is to predict the inflation rate so that inflation can be controlled every month and provide information to the government, especially Bank Indonesia in the decision-making process to determine monetary policy and as an effort to maintain inflation stability in the future. This research implements the Artificial Neural Network (ANN) method with RapidMiner software. In this study using Inflation rate data S 11 years, from the period January 2013 to December 2023. The prediction results using the Artificial Neural Network method for the inflation rate in Indonesia for the period January 2024 to December 2024 are consecutively obtained at 2.26%; 3.96%; 2.44%; 3.3%; 2.95%; 3.26%; 3.54%; 3.37%; 3.56%;