Open AccessImplementation of fuzzy logic method for automation of decision making of Boeing aircraft landing
Author(s) -
Winda Pratiwi,
Aghus Sofwan,
Iwan Setiawan
Publication year - 2021
Publication title -
iaes international journal of artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2252-8938
pISSN - 2089-4872
DOI - 10.11591/ijai.v10.i3.pp545-552
Subject(s) - runway , fuzzy logic , aeronautics , visibility , computer science , aerospace , automation , aviation , landing gear , process (computing) , engineering , aerospace engineering , artificial intelligence , meteorology , mechanical engineering , physics , archaeology , history , operating system
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.