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All Journal Economic Journal of Emerging Markets MATEMATIKA Jurnal Ilmu Lingkungan Jurnal Ilmu Komunikasi Forum Geografi Matra Pembaruan: Jurnal Inovasi Kebijakan Jurnal Geografi, Edukasi dan Lingkungan Jurnal Pertahanan : Media Informasi tentang Kajian dan Strategi Pertahanan yang Mengedepankan Identity, Nasionalism dan Integrity Jurnal Riset Informatika BHUMI: Jurnal Agraria dan Pertanahan Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Jurnal Ketenagakerjaan
Irdam Ahmad
Universitas Pertahanan
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Computer Science & IT Earth & Planetary Sciences Economics, Econometrics & Finance Education Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Social Sciences Other

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Journal : Jurnal Riset Informatika

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COMPARATIVE ANALYSIS OF PATHFINDING ARTIFICIAL INTELLIGENCE USING DIJKSTRA AND A* ALGORITHMS BASED ON RPG MAKER MV Riska Nurtantyo Sarbini; Irdam Ahmad; Romie Oktovianus Bura; Luhut Simbolon
Jurnal Riset Informatika Vol 4 No 3 (2022): Period of June 2022
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1442.459 KB) | DOI: 10.34288/jri.v4i3.384

Abstract

In most games, an artificial pathfinding intelligence is required for traversing the fastest discovery. It is essential for many video games, particularly Role Playing Games (RPGs). The algorithm pathfindings implemented in this game are A* and Dijkstra Algorithms. This study aims to test an artificial intelligence system for discovering routes using the A* and Dijkstra algorithms based on RPG Maker MV. The result showed that from the time obtained, in the experiment on eight nodes using the Pathfinding mechanism of A* algorithm has faster result in discovering the nearest route with the time 08:15:23 with format (mm:ss: ms) whereas Dijkstra Algorithm has a 34:47:43 time result. The time record needed represents the distance between the search nodes. It indicates that the multiple weighting in the impassable nodes caused the cost calculation process becomes faster and more efficient.
COMPARATIVE ANALYSIS OF PATHFINDING ARTIFICIAL INTELLIGENCE USING DIJKSTRA AND A* ALGORITHMS BASED ON RPG MAKER MV Riska Nurtantyo Sarbini; Irdam Ahmad; Romie Oktovianus Bura; Luhut Simbolon
Jurnal Riset Informatika Vol. 4 No. 3 (2022): June 2022
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (931.458 KB) | DOI: 10.34288/jri.v4i3.186

Abstract

In most games, an artificial pathfinding intelligence is required for traversing the fastest discovery. It is essential for many video games, particularly Role Playing Games (RPGs). The algorithm pathfindings implemented in this game are A* and Dijkstra Algorithms. This study aims to test an artificial intelligence system for discovering routes using the A* and Dijkstra algorithms based on RPG Maker MV. The result showed that from the time obtained, in the experiment on eight nodes using the Pathfinding mechanism of A* algorithm has faster result in discovering the nearest route with the time 08:15:23 with format (mm:ss: ms) whereas Dijkstra Algorithm has a 34:47:43 time result. The time record needed represents the distance between the search nodes. It indicates that the multiple weighting in the impassable nodes caused the cost calculation process becomes faster and more efficient.
Co-Authors Anwar Arifin Asral Efendi Bura, Romie O. David Yacobus Diah Novita Sari Edi Suhardono Henry Setyanto Linus Yoseph Wawan Rukmono Lucia Ratnasari Luhut Simbolon M. Adnan Madjid Mirad Fahri Moelyanto Moelyanto Muhamad Alfikri Prabaswari Riska Nurtantyo Sarbini Riska Nurtantyo Sarbini Sahrun Gultom Sa’dianoor Sa’dianoor Sobar Sutisna Syamsul Maarif Toruan, Tahan Samuel Lumban