FORECASTING SYSTEM FOR PASSENGER, AIRPLANE, LUGGAGE AND CARGO, USING ARTIFICIAL INTELLIGENCE METHOD - BACKPROPAGATION NEURAL NETWORK AT JUANDA INTERNATIONAL AIRPORT
Juanda International Airport is the third busiest airport, after Soekarno Hatta International Airport and Ngurah Rai International Airport. Because the number of Airplane, passengers, luggage and cargo at Juanda International Airport is increasing every year, it is important to improve infrastructur...
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Air Transportation Research and Development Center
2021
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oai:doaj.org-article:200531d75f684d399a8641d10177816f2021-11-30T07:16:04ZFORECASTING SYSTEM FOR PASSENGER, AIRPLANE, LUGGAGE AND CARGO, USING ARTIFICIAL INTELLIGENCE METHOD - BACKPROPAGATION NEURAL NETWORK AT JUANDA INTERNATIONAL AIRPORT0215-90662528-404510.25104/wa.v45i2.358.99-110https://doaj.org/article/200531d75f684d399a8641d10177816f2021-06-01T00:00:00Zhttp://www.wartaardhia.com/index.php/wartaardhia/article/view/358https://doaj.org/toc/0215-9066https://doaj.org/toc/2528-4045Juanda International Airport is the third busiest airport, after Soekarno Hatta International Airport and Ngurah Rai International Airport. Because the number of Airplane, passengers, luggage and cargo at Juanda International Airport is increasing every year, it is important to improve infrastructure facilities and services, and all facilities at Juanda Airport. In this research, it was designed and built a forecasting system for Airplane, passenger, luggage and cargo. This research is expected to be a consideration in increasing the readiness of infrastructure and services, and all facilities at Juanda Airport. In addition, this system is also expected to be one of the decision supporting system for the management. This system uses one of the Artificial Intelligent methods, Backpropagation Artificial Neural Network. It is known in previous research that Backpropagation is a method of artificial neural networks with the best performance in pattern recognition, or forecasting. The forecasting system has two main processes, the training process and the forecasting process.lady silk moonlightAchmad Setiyo PrabowoAir Transportation Research and Development Centerarticlebackpropagationartificial intelligentartificial neural networkjuanda international airportTransportation engineeringTA1001-1280Motor vehicles. Aeronautics. AstronauticsTL1-4050ENIDWarta Ardhia: Jurnal Perhubungan Udara, Vol 45, Iss 2, Pp 99-110 (2021) |
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backpropagation artificial intelligent artificial neural network juanda international airport Transportation engineering TA1001-1280 Motor vehicles. Aeronautics. Astronautics TL1-4050 |
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backpropagation artificial intelligent artificial neural network juanda international airport Transportation engineering TA1001-1280 Motor vehicles. Aeronautics. Astronautics TL1-4050 lady silk moonlight Achmad Setiyo Prabowo FORECASTING SYSTEM FOR PASSENGER, AIRPLANE, LUGGAGE AND CARGO, USING ARTIFICIAL INTELLIGENCE METHOD - BACKPROPAGATION NEURAL NETWORK AT JUANDA INTERNATIONAL AIRPORT |
description |
Juanda International Airport is the third busiest airport, after Soekarno Hatta International Airport and Ngurah Rai International Airport. Because the number of Airplane, passengers, luggage and cargo at Juanda International Airport is increasing every year, it is important to improve infrastructure facilities and services, and all facilities at Juanda Airport. In this research, it was designed and built a forecasting system for Airplane, passenger, luggage and cargo. This research is expected to be a consideration in increasing the readiness of infrastructure and services, and all facilities at Juanda Airport. In addition, this system is also expected to be one of the decision supporting system for the management. This system uses one of the Artificial Intelligent methods, Backpropagation Artificial Neural Network. It is known in previous research that Backpropagation is a method of artificial neural networks with the best performance in pattern recognition, or forecasting. The forecasting system has two main processes, the training process and the forecasting process. |
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author |
lady silk moonlight Achmad Setiyo Prabowo |
author_facet |
lady silk moonlight Achmad Setiyo Prabowo |
author_sort |
lady silk moonlight |
title |
FORECASTING SYSTEM FOR PASSENGER, AIRPLANE, LUGGAGE AND CARGO, USING ARTIFICIAL INTELLIGENCE METHOD - BACKPROPAGATION NEURAL NETWORK AT JUANDA INTERNATIONAL AIRPORT |
title_short |
FORECASTING SYSTEM FOR PASSENGER, AIRPLANE, LUGGAGE AND CARGO, USING ARTIFICIAL INTELLIGENCE METHOD - BACKPROPAGATION NEURAL NETWORK AT JUANDA INTERNATIONAL AIRPORT |
title_full |
FORECASTING SYSTEM FOR PASSENGER, AIRPLANE, LUGGAGE AND CARGO, USING ARTIFICIAL INTELLIGENCE METHOD - BACKPROPAGATION NEURAL NETWORK AT JUANDA INTERNATIONAL AIRPORT |
title_fullStr |
FORECASTING SYSTEM FOR PASSENGER, AIRPLANE, LUGGAGE AND CARGO, USING ARTIFICIAL INTELLIGENCE METHOD - BACKPROPAGATION NEURAL NETWORK AT JUANDA INTERNATIONAL AIRPORT |
title_full_unstemmed |
FORECASTING SYSTEM FOR PASSENGER, AIRPLANE, LUGGAGE AND CARGO, USING ARTIFICIAL INTELLIGENCE METHOD - BACKPROPAGATION NEURAL NETWORK AT JUANDA INTERNATIONAL AIRPORT |
title_sort |
forecasting system for passenger, airplane, luggage and cargo, using artificial intelligence method - backpropagation neural network at juanda international airport |
publisher |
Air Transportation Research and Development Center |
publishDate |
2021 |
url |
https://doaj.org/article/200531d75f684d399a8641d10177816f |
work_keys_str_mv |
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