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Image of IMPLEMENTASI PROCEDURAL CONTENT GENERATION PADA INFINITE RUNNING GAME

Skripsi

IMPLEMENTASI PROCEDURAL CONTENT GENERATION PADA INFINITE RUNNING GAME

Maylano, Zinedine  - Personal Name;

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Penilaian anda saat ini :  

Infinite running game is a game where the player character must run and survive for an unlimited time while avoiding obstacles and achieving the highest score possible. Content in games must always be innovated because it affects the player's contribution in the long term. As a solution to this problem, researchers implemented procedural content generation and genetic algorithms in game development because this method can make the content in a game more dynamic and faster. This research aims to create a game with simpler, more challenging obstacles, attractive designs and characters, as well as increased in-game speed that is easier for novice players to overcome using PCG. Testing in this research consists of PCG algorithm testing and game testing with players. The results of this research show that the algorithm is able to create a playing experience that is not monotonous and shows various game dynamics and gets a very good response from players based on the results of the game playing experience. Keywords : Procedural Content Generation, Genetic Algorithm, Infinite Running Game


Availability
Inventory Code Barcode Call Number Location Status
2407006228T159136T1591362024Central Library (REFERENCE)Available but not for loan - Not for Loan
Detail Information
Series Title
-
Call Number
T1591362024
Publisher
Indralaya : Prodi Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya., 2024
Collation
xviii, 151 hlm.; ilus.; 29 cm
Language
Indonesia
ISBN/ISSN
-
Classification
006.707
Content Type
Text
Media Type
unmediated
Carrier Type
-
Edition
-
Subject(s)
Prodi Teknik Informatika
Game Digital
Specific Detail Info
-
Statement of Responsibility
TUTI
Other version/related

No other version available

File Attachment
  • IMPLEMENTASI PROCEDURAL CONTENT GENERATION PADA INFINITE RUNNING GAME
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