CLASSIFICATION OF STUDENT’S AIR TRAFFIC CONTROL SKILL USING LOGISTIC REGRESSION

  • Liber Tommy Hutabarat Akademi Teknik dan Keselamatan Penerbangan Medan
  • Hairul Amren S Akademi Teknik dan Keselamatan Penerbangan Medan
  • Marzuki Sinambela University of Sumatera Utara
  • Tonni Limbong Chatolic University of Saint Thomas North Sumatera
Keywords: Classification, ATC, Logistic Regression

Abstract

The classification of student’s air traffic control skills at Akademi Teknik dan Keselamatan Penerbangan Medan (ATKP) is very interesting to evaluate and look at the performance of the student. In this study, we compute the student’s air traffic control (ATC) skill data to classify and evaluate the model and performance of the dataset. The computation of the dataset using the logistic regression approach based on Sk-learn by training and test data. The data was collected from ATKP for twenty samples. The result of this study indicates the logistic regression classifier is the best algorithm for this classification problem, offering good values in terms of accuracy, true negative rate, and true positive rate.

Published
2019-10-31