PERFORMANCE ANALYSIS OF 3 DIMENSION MODELS OF 12 SHIO PETS IN THE TWELVE METAVERSE GAME

Abstract

The Metaverse is a post-reality universe, a multi-user and persistent environment that combines physical reality with digital virtualization. With this sophistication, Metaverse combines many new technologies that combine virtual worlds and reality. One technology that combines the virtual world and reality that is developing rapidly to influence the world economy today is video games. One video game that uses metaverse based technology is the Twelve Metaverse game. This game has an attraction for users, especially assets. But in the Twelve Metaverse game there are problems with game performance, one of the causes is less than optimal game assets. Where users experience lag when interacting between characters in conditions of a large number of spawns without a definite number. With these problems, it is necessary to determine the quality of game performance by looking for the maximum number of spawns on 3-dimensional avatars of 12 Shio pets according to the optimal standard of 50-60 FPS in one scene. Performance analysis based on quantitative and qualitative research methods. Testing was carried out using the Unity Engine Profiler available in Unity3D. The results of observation, evaluation, and performance analysis of 12 Shio pets, 12 Shio pets with human characters, 12 Shio pets with human characters and environment in the Twelve Metaverse game are efficient