DATA MINING DENGAN REGRESI LINIER BERGANDA UNTUK PERAMALAN TINGKAT INFLASI

Amrin Amrin (Manajemen Informatika AMIK BSI Jakarta)

Techno Nusa Mandiri : Journal of Computing and Information Technology
Vol 13 No 1 (2016): Techno Nusa Mandiri : Journal of Computing and Information Technology Periode Ma

In this study will be used multiple linear regression method to predict the monthly inflation rate in Indonesia. In the results of the data analysis is concluded that the model of multiple linear regression obtained in this study is Y= 0,241X1 + 0,164X2 + 0,271X3 + 0,07X4 + 0,040X5 + 0,060X6 + 0,169X7 - 0,010. The coefficient of regression value is 0,999 and coefficient of determination value is 0,997. the performance of multiple linear regression that formed by the training data and validated by testing data generates prediction accuracy rate is very good with a Mean Absolute Deviation (MAD) is 0.0380, a Mean Square Error (MSE) is 0.0023, and a Root Mean Square Error (RMSE) is 0.0481.