DEVELOPMENT AND ANALYSIS OF 2D FLIGHT PLANNING SEARCH ENGINE CONSIDERING FUSION OF SWIM DATA

Flight planning is one of the essential factors airline operation. The selection routes will determine economic value flight. However, some conditions may prevent flight to use most optimum route due airspace restriction or weather condition. research aims develop a search engine program that uses dynamic parameters considers fusion System Wide Information Management (SWIM) data including and NOTAM produce in 2D planning. Dijkstra’s pathfinding implemented Python programming language plan. navigation used enroute airway Indonesian FIR regions. scenario from Jakarta Makassar with duration 2 hours considering effect restricted blockage during in-flight. study also produced by algorithm be compared possible alternate define how is. Adding parameter result new plan able avoids minimum distance. external wind could influence which vary depends on speed wind.