KLASIFIKASI JALAN PRIMER PADA RUAS JALAN PROVINSI DI PROVINSI KEPULAUAN RIAU DENGAN METODE SUPPORT VECTOR MACHINE

Authors

  • Kurniawan Utomo Santoso Universitas Maritim Raja Ali Haji
  • Nola Ritha Universitas Maritim Raja Ali Haji
  • Martaleli Bettiza Universitas Maritim Raja Ali Haji

Keywords:

Road, Riau Islands, SVM, SMO, Classification

Abstract

Road is a land transportation infrastructure that covers all parts of the road that are designated as a link between one region and another. Roads with good conditions can facilitate transportation activities that occur in an area. Riau Islands Province is a new Province and of course development is very much needed for the progress of the Province. In the process of classifying road functions, it is still found there are some errors that occur when it is done. In this study the authors made an application for classifying desktop-based road functions using the Support Vector Machine (SVM) algorithm. The output produced in the form of data from the classification of road functions in Riau Islands Province with an accuracy value of 99.03% using the best parameter values in this study, the constant parameter value (c) is 2, the gamma parameter value (γ) is 1, the parameter value is degree ( d) i.e. 3, the epsilon parameter value (e) is 0.001 and the complexity parameter value (C) is 1.

Published

2020-05-11

Issue

Section

Teknik Informatika