On-Time Flight Departure Prediction System Using Naive Bayes Classification Method (Case Study: XYZ Airline)

On-Time Flight Departure Prediction System Using Naive Bayes Classification Method (Case Study: XYZ Airline)

  IJCTT-book-cover
 		 International Journal of Computer Trends and Technology (IJCTT)          
 
© 2017 by IJCTT Journal
Volume-54 Number-1
Year of Publication : 2017
Authors : Andi Nugroho,Rizki Ali Fahmi
DOI :  10.14445/22312803/IJCTT-V54P102

MLA

Andi Nugroho,Rizki Ali Fahmi "On-Time Flight Departure Prediction System Using Naive Bayes Classification Method (Case Study: XYZ Airline)". International Journal of Computer Trends and Technology (IJCTT) V53(1):4-10, December 2017. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
On Time Performance (OTP) is an important aspect for flight service user and provider. OTP is one of factors that affect positive or negative assessment of flight service. But sometimes, there are some obstacles happened that require the airlines to experience delay. Lack of information about delay prediction causes the airlines could not prepare the solution to avoid the delay problem. To overcome the problem, it requires a departure on time prediction system. In this research, the writer tries to apply Naive Baye Classification to create on time prediction system that can be used by the airlines to prepare more for the possibilities that can be happened in the future.

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Keywords
on time performance, Delay, Naive Bayes.