Analysis of Backpropagation Algorithm in Artificial Neural Network in Predicting House Prices in Jabodetabek

Abstract

The growing economic development in Indonesia has an influence on the increase in property prices every year. Jabodetabek (Jakarta, Bogor, Depok, Tangerang and Bekasi) is one of the foremost crowded metropolitan zones in Indonesia. The property market in this region continues to grow rapidly, and investment decisions in the form of home purchases are among the foremost vital within the lives of numerous people and families. The purpose of this research is to help make decisions in home purchases and long-term investments so that they can be used as assets in the future, especially in the property sector. The results obtained from this research are 87% for the R-Squared value and 1724558133.81814 for the Mean Absolute Error (MAE) value, the large MAE value is due to the volume of Price data which ranges from hundreds of millions to tens of billions.