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All Journal Jurnal Keuangan dan Perbankan Jurnal Ilmiah Mahasiswa FEB JAM : Jurnal Aplikasi Manajemen Journal of Indonesian Applied Economics International Journal of Local Economic Governance The International Journal of Accounting and Business Society Media Trend: Berkala Kajian Ekonomi dan Studi Pembangunan Jurnal Ilmu Ekonomi dan Pembangunan Journal of Information Technology and Computer Science Journal of Innovation in Business and Economics J-Dinamika: Jurnal Pengabdian Kepada Masyarakat Journal of Economics and Business Aseanomics Jurnal Pengabdian kepada Masyarakat Nusantara International Journal of Community Service International Journal of Accounting & Finance in Asia Pasific Journal of International Conference Proceedings Contemporary Studies in Economic, Finance and Banking (CSEFB)
Ghozali Maski
Fakultas Ekonomi Dan Bisnis Universitas Brawijaya
Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Public Health Social Sciences Other

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Journal : Journal of Information Technology and Computer Science

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Inflation Rate Prediction in Indonesia using Optimized Support Vector Regression Model Oktanisa, Irvi; Mahmudy, Wayan Firdaus; Maski, Ghozali
Journal of Information Technology and Computer Science Vol. 5 No. 1: April 2020
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1184.108 KB) | DOI: 10.25126/jitecs.202051173

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.
Co-Authors Agustina Lastri Pangulu Alessandro, Andreas Amalia Rahmawati Amri, Muh Arif Arinda, Nila Asfi Manzilati Aulia Fuad Rahman Azriana, Fariza Hanum Bambang Subroto Beny Hendrawan Wahyuaji Berto Muharman Della Hardyati Prabowo Devanto Shasta Pratomo Devia SS, Vietha Dona Nove Lasmarohana Duyufur Rohman, Ghifary Dwi Budi Santoso Dyan Ari Iswanto Edvandry, Mohammad Reynaldy Amareza Eki Syafruddin Esha Najitama Farah Wulandari Pangestuty Ferry Prasetyia Galih Pratama Putra Halim Burhani Harafah, Wa Ode Uswatun Miladina Putri Herania, Elisabeth Irsyad Sirajuddin Bintar Madya Iswan Noor Karisma, Kautsari Anggun Karyadi, Hari Khusnul Ashar Kormitasari, Yenny Kresna Sakti, Rachmad Mochamad Fajar Hidayat Nur Shomita Hidayati Nurul Badriyah Oktanisa, Irvi Pinem, Angie Aurea Gustika Putri, Habibatuz Akbaricha Ramadhani, Novilia Regina Mayo Sofa, Rulia Sri Muljaningsih Umi Salamah Vietha Devia Wayan Firdaus Mahmudy Widarto, Farah Ashila Oktavianda Wijaya, Anorti Ika Wulandari Pangestuty, Farah Yogi Pasca Pratama, Yogi Pasca