PREDIKSI KETERLAMBATAN KEDATANGAN PENERBANGAN DENGAN METODE MACHINE LEARNING
Flight Delay is a problem in Indonesia's growing aviation industry. The delay causes unscheduled traffic congestion and lowers the level of service in the air traffic controller. This study aims to create a flight prediction model using machine learning. The method in this study is a compari...
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| 格式: | Final Project |
| 語言: | Indonesia |
| 在線閱讀: | https://digilib.itb.ac.id/gdl/view/50685 |
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| 總結: | Flight Delay is a problem in Indonesia's growing aviation industry. The delay
causes unscheduled traffic congestion and lowers the level of service in the air
traffic controller. This study aims to create a flight prediction model using machine
learning. The method in this study is a comparison of the implementation of 11
machine learning algorithms on flight data to Bandung to obtain prediction results
for delays and model analysis using Local Interpretable Model-Agnostic
Explanations (LIME). The best results from modeling with machine learning show
the achievement level of the accuracy value of 91,5% and the AUC value on the
ROC graph of 0,966 on the bagging classifier model with decision trees basis.
Analysis of feature importance shows that the most significant factor is traffic at
origin airport. The results of this study can be used to create a flight delay prediction
system.
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