Computer Based Information System Journal
Vol. 8 No. 2 (2020): CBIS Journal

PREDIKSI HARGA CABAI MERAH MENGGUNAKAN SUPPORT VECTOR REGRESSION

Sepri, Domi (Unknown)
Fauzi, Ahmad (Unknown)

Article Info

Publish Date
29 Sep 2020

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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Journal Info
Computer Based Information System Journal
Website

Abbrev

cbis

Publisher

Universitas Putera Batam

Subject

Computer Science & IT Control & Systems Engineering Library & Information Science

Description

CBIS Journal diterbitkan dua kali setahun, pada bulan maret dan september. Bidang penelitian yang diterbitkan meliputi data mining, text mining, data warehouse, online analytical processing, artificial intelligence, decision support system, Mobile Application, Software engineering, Software Testing, ...