Klasifikasi Jalan Primer pada Ruas Jalan Provinsi di Provinsi Kepulauan Riau dengan Metode Naive Bayes

  • Ardi Setiawan Universitas Maritim Raja Ali Haji
  • Nola Ritha Universitas Maritim Raja Ali Haji
  • Martaleli Bettiza Universitas Maritim Raja Ali Haji
Keywords: Roads, Riau Islands, Naïve Bayes, Classification

Abstract

Roads are facilities or infrastructure provided by the government that are useful for both transportation of goods and the citizen, it can be in the cities or districts or provinces or even countries. Roads are also one of the supporting factors for the development of an area, of course roads that are built in one region with other regions have differences, the difference in question is the type of road based on its function, the function of this road is regulated in Government Regulation No. 34 of 2006 about Roads. Riau Islands Province is a new Province and of course development is very much needed for the progress of the Riau Islands Province. Roads are also one of the supporting factors for the progress and development of the Riau Islands Province and whether the roads in the Riau Islands Province are in accordance with Government Regulation. In this study the authors conducted a road function classification using the Naïve Bayes algorithm. By using 70 training data and 45 data testing data with parameters of road width, asphalt penetration/mekadam, good condition, medium condition, mildly damaged condition, heavily damaged condition and LHR, which these parameters are used to find three classes, namely Arteri Primer, Kolektor Primer and Lokal Primer, then the results of the classification of provincial road functions in Riau Islands Province with an accuracy value of 95.56%.

Published
2020-05-11
Section
Teknik Informatika