Prediksi Tingkat Kepenuhan Penumpang Pesawat dari Bandara Hang Nadim Batam

  • You Ari Faeni BPS kabupaten OKU Timur Provinsi Sumatera Selatan
  • nyanwar Badan Pengusahaan Batam
  • Jackson Bobby Romano Daba BPS kabupaten Bengkayang Provinsi Kalimantan Barat
DOI: https://doi.org/10.37396/jsc.v2i2.28
Keywords: support vector machine, decision tree, predictive analytic, data mining

Abstract

Batam is a very strategic area located in the Indonesia Malaysia Singapore Growth Triangle region. Transportation is an important factor in the economic growth of Batam City, especially air transportation. Various types of data are collected, but only a few are analyzed so that they can generate new knowledge. This research will analyze flight data from Hang Nadim Batam airport to predict the fullness of aircraft from Batam to various destinations. The results showed that the support vector machine (SVM) model showed a higher level of accuracy than decision tree in predicting the fullness of the aircraft

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Published
2019-09-01
How to Cite
You Ari Faeni, Nyanwar Eko Pribadi, & Jackson Bobby Romano Daba. (2019). Prediksi Tingkat Kepenuhan Penumpang Pesawat dari Bandara Hang Nadim Batam. Jurnal Sistem Cerdas, 2(2), 150 - 162. https://doi.org/10.37396/jsc.v2i2.28
Issue
Vol. 2 No. 2 (2019): Smart Transportation
Section
Articles
Copyright (c) 2019 Jurnal Sistem Cerdas