PREDIKSI HARGA CABAI MERAH MENGGUNAKAN SUPPORT VECTOR REGRESSION

Authors

  • Domi Sepri UIN Imam Bonjol
  • Ahmad Fauzi UIN Imam Bonjol

DOI:

https://doi.org/10.33884/cbis.v8i2.1921

Keywords:

Support Vector Regression, Grid Search, Chili Prices

Abstract

The aim of the research is to make a model to predict the national price of the red chili pepper using Support Vector Regression (SVR). Data used to make model are the price of red chili from January 2017 to December 2019. For finding the best parameter of the hyperplane, the research uses Grid Search Algorithm.  The best parameter of the hyperplane is C=1000, epsilon=5, and Gamma =1 . The result shows the MAPE for data training is 4.07% and the MAPE for data testing is 9.11%.

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Published

2020-09-29

How to Cite

Sepri, D., & Fauzi, A. (2020). PREDIKSI HARGA CABAI MERAH MENGGUNAKAN SUPPORT VECTOR REGRESSION. Computer Based Information System Journal, 8(2), 1–5. https://doi.org/10.33884/cbis.v8i2.1921

Issue

Vol. 8 No. 2 (2020): CBIS Journal

Section

Articles

License

Copyright (c) 2020 Computer Based Information System Journal

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.