Komparasi Kinerja Algoritma BFS, Dijkstra, Greedy BFS, dan A* dalam Melakukan Pathfinding

Pathfinding is a computational process in finding the best route between two points or nodes to find the shortest path. This method has many algorithms that can be applied in various fields. In carrying out the pathfinding, speed and distance are considered as important. Through the test diagram, t...

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Main Authors: Nadila Sugianti, Ainatul Mardhiyah, Nurma Romihim Fadilah
Format: Article
Language:Indonesian
Published: Universitas Islam Negeri Sunan Kalijaga Yogyakarta 2020-11-01
Series:JISKA (Jurnal Informatika Sunan Kalijaga)
Online Access:http://ejournal.uin-suka.ac.id/saintek/JISKA/article/view/1954
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spelling doaj-e72e8142cafd4f99a4c86f4a2e2100d52021-10-05T13:00:19ZindUniversitas Islam Negeri Sunan Kalijaga YogyakartaJISKA (Jurnal Informatika Sunan Kalijaga)2527-58362528-00742020-11-015310.14421/jiska.2020.53-071536Komparasi Kinerja Algoritma BFS, Dijkstra, Greedy BFS, dan A* dalam Melakukan PathfindingNadila SugiantiAinatul MardhiyahNurma Romihim Fadilah Pathfinding is a computational process in finding the best route between two points or nodes to find the shortest path. This method has many algorithms that can be applied in various fields. In carrying out the pathfinding, speed and distance are considered as important. Through the test diagram, this paper illustrates the execution steps related to the pathfinding algorithm which includes BFS, Dijkstra, Greedy BFS, and A * for comparison. From several studies, the authors identified that execution time and mileage can be used optimally in the comparison process. Input variables as well as media used are 2-dimensional grids and heuristic function calculations. The analogy is carried out on a unity platform with the C# programming language, producing A * as a more flexible pathfinding algorithm to be implemented in various domains. http://ejournal.uin-suka.ac.id/saintek/JISKA/article/view/1954
collection DOAJ
language Indonesian
format Article
sources DOAJ
author Nadila Sugianti
Ainatul Mardhiyah
Nurma Romihim Fadilah
spellingShingle Nadila Sugianti
Ainatul Mardhiyah
Nurma Romihim Fadilah
Komparasi Kinerja Algoritma BFS, Dijkstra, Greedy BFS, dan A* dalam Melakukan Pathfinding
JISKA (Jurnal Informatika Sunan Kalijaga)
author_facet Nadila Sugianti
Ainatul Mardhiyah
Nurma Romihim Fadilah
author_sort Nadila Sugianti
title Komparasi Kinerja Algoritma BFS, Dijkstra, Greedy BFS, dan A* dalam Melakukan Pathfinding
title_short Komparasi Kinerja Algoritma BFS, Dijkstra, Greedy BFS, dan A* dalam Melakukan Pathfinding
title_full Komparasi Kinerja Algoritma BFS, Dijkstra, Greedy BFS, dan A* dalam Melakukan Pathfinding
title_fullStr Komparasi Kinerja Algoritma BFS, Dijkstra, Greedy BFS, dan A* dalam Melakukan Pathfinding
title_full_unstemmed Komparasi Kinerja Algoritma BFS, Dijkstra, Greedy BFS, dan A* dalam Melakukan Pathfinding
title_sort komparasi kinerja algoritma bfs, dijkstra, greedy bfs, dan a* dalam melakukan pathfinding
publisher Universitas Islam Negeri Sunan Kalijaga Yogyakarta
series JISKA (Jurnal Informatika Sunan Kalijaga)
issn 2527-5836
2528-0074
publishDate 2020-11-01
description Pathfinding is a computational process in finding the best route between two points or nodes to find the shortest path. This method has many algorithms that can be applied in various fields. In carrying out the pathfinding, speed and distance are considered as important. Through the test diagram, this paper illustrates the execution steps related to the pathfinding algorithm which includes BFS, Dijkstra, Greedy BFS, and A * for comparison. From several studies, the authors identified that execution time and mileage can be used optimally in the comparison process. Input variables as well as media used are 2-dimensional grids and heuristic function calculations. The analogy is carried out on a unity platform with the C# programming language, producing A * as a more flexible pathfinding algorithm to be implemented in various domains.
url http://ejournal.uin-suka.ac.id/saintek/JISKA/article/view/1954
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AT nurmaromihimfadilah komparasikinerjaalgoritmabfsdijkstragreedybfsdanadalammelakukanpathfinding
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