Prediksi Flight Delay Berbasis Algoritma Neural Network
DOI:
https://doi.org/10.47065/jieee.v2i1.429Keywords:
Algorithm; Aircraft Delay; Neural Network; Prediction; TransportationAbstract
Pada penerbangan komersial salah satu masalahyang tidak dapat dihindari adalah keterlambatan penerbangan. Keterlambatan penerbangan (flight delay) adalah terjadinya perbedaan waktu antara waktu keberangkatan atau kedatangan yang dijadwalkan dengan realisasi waktu keberangkatan atau kedatangan. Dengan terjadinya keterlambatan penerbangan, maka secara langsung akan menyebabkan banyak kerugian. Pada penelitian ini dibangun sebuah model untuk memprediksi keterlambatan penerbangan yang akan terjadi kedepannya dengan menggunakan metode pengenalan pola yaitu neural network. Neural network atau biasa disebut juga jaringan syaraf tiruan adalah suatu metode komputasi yang meniru sistem jaringan syaraf biologi. Metode ini menggunakan elemen perhitungan non-linear dasar yang disebut neuran yang diorganisasikan sebagai jaringan yang saling berhubungan, sehingga mirip dengan jaringan saraf manusia. Dengan menerapkan model neural network pada data latih sebanyak 20 epichs dalam waktu 11 menit. Akurasi akhir dari data latih yaitu 81,89%, sementara akurasi pada data tes yaitu 81,59%.
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