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Implementation of fuzzy logic method for automation of decision making of Boeing aircraft landing

IAES International Journal of Artificial Intelligence · Vol. 10 No. 3 (2021) · pp. 545–552

DOI
10.11591/ijai.v10.i3.pp545-552
ISSN
2252-8938, 2089-4872
Published
2021-09-01
Publisher
Institute of Advanced Engineering and Science
Language
eng
License
creativecommons.org/licenses/by-sa/4.0

Abstract

In the landing process, airplanes have many safety factors that must be protected. Weather advice and information is very important as a consideration in determining the feasibility of landing an aircraft. The main objective of this research is the implementation of Mamdani fuzzy simulation in determining the feasibility of landing aircraft at Ahmad Yani Airport in Semarang using ATC police and pilot coordination on runway number 31. Wind direction, wind velocity, visibility, and pilot experience are used to determine eligibility aircraft landing. An intelligent system based on fuzzy logic produces three decisions that are feasible, careful, and not feasible in landing an aircraft on a runway. The results of the study concluded from an intelligent system based on fuzzy logic can be used to determine aircraft landing decisions on the runway of Ahmad Yani Airport Semarang on runway number 31.

Keywords

Collaboration network of the authors

40 authors · 93 co-authorship links · 27 across different organisations · showing the 40 most connected

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Satya Wacana Christian University
  • Padjadjaran University
  • Diponegoro University
  • Universitas Buana Perjuangan Karawang
  • Institut Agama Islam Negeri Kerinci
  • STMIK IKMI Cirebon
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Dudang GojaliAffiliation unknown5
Doli WitroInstitut Agama Islam Negeri Kerinci2
Ade PonirahAffiliation unknown2
Rahayu KusumadewiAffiliation unknown2
Rani MulyaniAffiliation unknown2
Abdulah SafeiAffiliation unknown2
Lies SulistyowatiAffiliation unknown2
Dedy HamdaniAffiliation unknown2
Maria Teodora PingAffiliation unknown2
Effendi LimbongAffiliation unknown2
Aryasatya Abdie MaheswaraAffiliation unknown1
Teguh Budi PrakosoDiponegoro University1
Eko ArifiantoDiponegoro University1
Hindriyanto Dwi PurnomoSatya Wacana Christian University1
Irwan SembiringSatya Wacana Christian University1
Danny ManonggaSatya Wacana Christian University1
Ahmad FauziSTMIK IKMI Cirebon1
Baenil HudaSatya Wacana Christian University1
Hendry HendrySatya Wacana Christian University1
April Lia HanantoUniversitas Buana Perjuangan Karawang1
Tukino TukinoUniversitas Buana Perjuangan Karawang1
Dini widianingrumAffiliation unknown1
Tuti WidjastutiAffiliation unknown1
Asep AnangAffiliation unknown1
Tazkia KhaerunnisaPadjadjaran University1
Lucyana TrimoPadjadjaran University1
Gema Wibawa MuktiPadjadjaran University1
SujarwoAffiliation unknown1
Elma Maulida WardhanaAffiliation unknown1
Taufik RihatnoAffiliation unknown1
Sri SuhartiAffiliation unknown1
Gina GustianiAffiliation unknown1
Mega Permata SariAffiliation unknown1
Mentari Fuzi AstutiAffiliation unknown1
Dimas HardiansyahAffiliation unknown1
Ateng Kusnandar AdisaputraAffiliation unknown1
SuhendiAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) http://ijai.iaescore.com/index.php/IJAI/oai, first harvested 8 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">Implementation of fuzzy logic method for automation of decision making of Boeing aircraft landing</dc:title>
	<dc:creator>Pratiwi, Winda</dc:creator>
	<dc:creator>Sofwan, Aghus</dc:creator>
	<dc:creator>Setiawan, Iwan</dc:creator>
	<dc:subject xml:lang="en-US"></dc:subject>
	<dc:subject xml:lang="en-US">Aircraft; Fuzzy logic Mamdani; Landing; Pilot experience; Weather</dc:subject>
	<dc:description xml:lang="en-US">In the landing process, airplanes have many safety factors that must be protected. Weather advice and information is very important as a consideration in determining the feasibility of landing an aircraft. The main objective of this research is the implementation of Mamdani fuzzy simulation in determining the feasibility of landing aircraft at Ahmad Yani Airport in Semarang using ATC police and pilot coordination on runway number 31. Wind direction, wind velocity, visibility, and pilot experience are used to determine eligibility aircraft landing. An intelligent system based on fuzzy logic produces three decisions that are feasible, careful, and not feasible in landing an aircraft on a runway. The results of the study concluded from an intelligent system based on fuzzy logic can be used to determine aircraft landing decisions on the runway of Ahmad Yani Airport Semarang on runway number 31.</dc:description>
	<dc:publisher xml:lang="en-US">Institute of Advanced Engineering and Science</dc:publisher>
	<dc:contributor xml:lang="en-US"></dc:contributor>
	<dc:date>2021-09-01</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US"></dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ijai.iaescore.com/index.php/IJAI/article/view/20873</dc:identifier>
	<dc:identifier>10.11591/ijai.v10.i3.pp545-552</dc:identifier>
	<dc:source xml:lang="en-US">IAES International Journal of Artificial Intelligence (IJ-AI); Vol 10, No 3: September 2021; 545-552</dc:source>
	<dc:source>2252-8938</dc:source>
	<dc:source>2089-4872</dc:source>
	<dc:source>10.11591/ijai.v10.i3</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ijai.iaescore.com/index.php/IJAI/article/view/20873/13200</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2021 Institute of Advanced Engineering and Science</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>