Open AccessImplementasi Support Vector Regression pada Prediksi Inflasi Indeks Harga Konsumen
Author(s) -
Bakhtiyar Hadi Prakoso
Publication year - 2019
Publication title -
matrik
Language(s) - English
Resource type - Journals
ISSN - 2476-9843
DOI - 10.30812/matrik.v19i1.511
Subject(s) - inflation (cosmology) , indonesian , consumer price index (south africa) , price index , economics , econometrics , indonesian government , inflation rate , index (typography) , linear regression , interest rate , monetary policy , statistics , mathematics , monetary economics , computer science , philosophy , linguistics , physics , theoretical physics , world wide web
Inflation reflects an increase in the prices of these items as well as those used by the Indonesian government, especially Bank Indonesia, in determining monetary policy. An indicator that can be obtained by Bank Indonesia in measuring inflation is the Consumer Price Index. This study discusses inflation prediction using the SVR method. Inflation test data issued by Bank Indonesia. As a comparison material for the kernel used in the SVR method using two kernels, namely Linear and Radial Base Function. The error rate evaluation results show that linear kernels produce better values, with a MAPE rate of 8.70% and MSE of 0.0037