Design Simulation Program of Runway Capacity Using Genetic Algorithm At Soekarno-Hatta Airport
| Main Authors: | Saragih, Hoga, Sulistyo Wibowo, Indra, Darjono Tulodo Utomo, Wisnu |
|---|---|
| Format: | Article PeerReviewed |
| Terbitan: |
Binus University
, 2011
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| Subjects: | |
| Online Access: |
http://eprints.binus.ac.id/26646/ http://library.binus.ac.id/Collections/journal_detail.aspx?subject=6&volnoed=Volume 05 / Nomor 01 / May 2011&title=Design Simulation Program of Runway Capacity Using Genetic Algorithm At Soekarno-Hatta Airport |
| ctrlnum |
26646 |
|---|---|
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<dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><relation>http://eprints.binus.ac.id/26646/</relation><title>Design Simulation Program of Runway Capacity Using Genetic Algorithm At Soekarno-Hatta Airport</title><creator>Saragih, Hoga</creator><creator>Sulistyo Wibowo, Indra</creator><creator>Darjono Tulodo Utomo, Wisnu</creator><subject>Information Technology</subject><description>The purposes of this research are to calculate the capacity of runway with runway capacity simulation software using Genetic Algorithm, and to analyze the efforts which have more profound effect.The result of the hourly runway capacity with the mathematical calculation is 42 operations for arrival only, 110 operations for departure only and 64 operations for mix. To enhance the runway capacity, some strategies are researched, such as reduction of separation to meet criteria set by FAA’s rule, addition of the exit taxiway, addition of the runway according to master plan of Soekamo-Hatta Airport and changing the runway utilization strategies. Out of the four strategies, the most efficient solution is changing the runway utilization strategies (with capacity increase of 35,9 %) and reduction in separation (with capacity increase of 34,4 %). However, the addition of runway has the highest capacity increase, that is 53,9 %..</description><publisher>Binus University</publisher><date>2011-05</date><type>Journal:Article</type><type>PeerReview:PeerReviewed</type><identifier> Saragih, Hoga and Sulistyo Wibowo, Indra and Darjono Tulodo Utomo, Wisnu (2011) Design Simulation Program of Runway Capacity Using Genetic Algorithm At Soekarno-Hatta Airport. Jurnal CommIT, 05 (01). ISSN 1979-2484 </identifier><relation>http://library.binus.ac.id/Collections/journal_detail.aspx?subject=6&volnoed=Volume 05 / Nomor 01 / May 2011&title=Design Simulation Program of Runway Capacity Using Genetic Algorithm At Soekarno-Hatta Airport</relation><recordID>26646</recordID></dc>
|
| format |
Journal:Article Journal PeerReview:PeerReviewed PeerReview |
| author |
Saragih, Hoga Sulistyo Wibowo, Indra Darjono Tulodo Utomo, Wisnu |
| title |
Design Simulation Program of Runway Capacity Using Genetic Algorithm At Soekarno-Hatta Airport |
| publisher |
Binus University |
| publishDate |
2011 |
| topic |
Information Technology |
| url |
http://eprints.binus.ac.id/26646/ http://library.binus.ac.id/Collections/journal_detail.aspx?subject=6&volnoed=Volume 05 / Nomor 01 / May 2011&title=Design Simulation Program of Runway Capacity Using Genetic Algorithm At Soekarno-Hatta Airport |
| contents |
The purposes of this research are to calculate the capacity of runway with runway capacity simulation software using Genetic Algorithm, and to analyze the efforts which have more profound effect.The result of the hourly runway capacity with the mathematical calculation is 42 operations for arrival only, 110 operations for departure only and 64 operations for mix. To enhance the runway capacity, some strategies are researched, such as reduction of separation to meet criteria set by FAA’s rule, addition of the exit taxiway, addition of the runway according to master plan of Soekamo-Hatta Airport and changing the runway utilization strategies. Out of the four strategies, the most efficient solution is changing the runway utilization strategies (with capacity increase of 35,9 %) and reduction in separation (with capacity increase of 34,4 %). However, the addition of runway has the highest capacity increase, that is 53,9 %.. |
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Universitas Bina Nusantara |
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Binus University e-Thesis Repository |
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JAKARTA BARAT |
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DKI JAKARTA |
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IOS3176 |
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2016-09-23T10:53:23Z |
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