In:
Journal of Information Technology and Computer Science, Fakultas Ilmu Komputer Universitas Brawijaya, Vol. 5, No. 1 ( 2020-02-28), p. 104-114
Abstract:
Inflation is a indicator which illustrated the economics condition of a country. This moneter phenomenom is signed with the increase of price in entire case. It can cause an effect for political sector which impact to economic stability in a nation. The importance of inflation control is very important due to the high and unstable of inflation will cause negative impact to economic and social in society. One of the solutions to control the inflation rate is predicting the inflation rate. This research using SVR as machine learning that is being optimized by GA as evolutionary agorithm as predicting method. SVR can solve nonlinear regression problems to linear regression using Kernel function that easy to implement. But, in SVR there is no general rule to set the parameters of SVR. Therefore, this research proposed to use GA to optimize the parameters of SVR. GA can solve the optimization problems in various research of economics prediction problem. Based on the testing that has been conducted, GA-SVR generate the MSE value is 0.03767, lower than SVR basic method is 0.053158. It proves that GA-SVR method can be utilized for predicting.
Type of Medium:
Online Resource
ISSN:
2540-9824
,
2540-9433
DOI:
10.25126/jitecs.202051
DOI:
10.25126/jitecs.202051173
Language:
Unknown
Publisher:
Fakultas Ilmu Komputer Universitas Brawijaya
Publication Date:
2020
detail.hit.zdb_id:
3068492-4
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