Article Per Year (5 Year)
p-Index From 2019 - 2024
0.23
P-Index
This Author published in this journals
All Journal MEANS (Media Informasi Analisa dan Sistem)
Sunardi Sunardi
Akademi Teknik dan Keselamatan Penerbangan Medan
Computer Science & IT

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Prediction of Domestic Passengers at Kualanamu International Airport Using Long Short Term Memory Network Sunardi Sunardi; Dwiyanto Dwiyanto; Marzuki Sinambela; Jamaluddin Jamaluddin; Darwis Robinson Manalu
MEANS (Media Informasi Analisa dan Sistem) Volume 4 Nomor 2
Publisher : LPPM UNIKA Santo Thomas Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (366.293 KB) | DOI: 10.54367/means.v4i2.566

Abstract

Domestic passenger forecasting provides key input into decisions of daily operation management and infrastructure planning of airports and air navigation services and for aircraft ordering and design. Planning for the future is one of the most important keys to success, forecasting is the way. The goal of this study to predict the number of domestic passengers at Kualanamu International Airport. The time-series data were employed from Badan Pusat Statistik (BPS). The result is then discussed in the context of the potential use of the proposed for a new perspective for the predicting of domestic passengers at Kualanamu International Airport, Indonesia. The machine learning approach using long short term memory (LSTM) presents a useful way of observing the domestic passenger predict the passenger time series.
Co-Authors Dwiyanto . Jamaluddin Jamaluddin Marzuki Sinambela