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Sepri, Domi
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Computer Science & IT Control & Systems Engineering Education Engineering Library & Information Science Social Sciences

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Journal : Computer Based Information System Journal

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PREDIKSI HARGA CABAI MERAH MENGGUNAKAN SUPPORT VECTOR REGRESSION Sepri, Domi; Fauzi, Ahmad
Computer Based Information System Journal Vol. 8 No. 2 (2020): CBIS Journal
Publisher : Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/cbis.v8i2.1921

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%.
Co-Authors Bagus Pribadi, Bagus Darvi Mailisa Putri Fauzi Ahmad Muda Hasibuan, Lilis Harianti M. Afdal Muhammad Naufan Rizqullah Novia Lestari Subhan Ajrin Sudirman Yuharnida, Yuharnida