Implementation of Conversational Artificial Intelligence in a3-Dimensional Game onWaste Impact
DOI:
https://doi.org/10.30812/matrik.v24i3.4755Keywords:
Conversational AI, Impact of Waste, Non-Playable Character, 3-Dimensional GameAbstract
The escalating volume of waste in Indonesia presents significant environmental challenges, primarily
due to insufficient public awareness and engagement. This study aimed to develop a dynamic threedimensional
simulation game to enhance young people’s understanding of the environmental impacts
of waste. The game integrates conversational artificial intelligence technology to create non-playable
characters that engage users in natural text and voice dialogues. The research employed a research and
development approach following the Software Development Life Cycle waterfall method, encompassing
stages of analysis, design, implementation, testing, and maintenance. The game design adopted the
Mechanical, Dynamic, and Aesthetic framework method. It implemented a first-person perspective to
create an immersive learning experience: evaluation involved functionality tests, expert reviews, and
user trials. The functionality testing achieved a perfect score of 100 percent, while evaluations by educational
technology experts yielded an average score of 94 percent for content quality and interface
design. User trials, conducted with individuals aged 10 to 18, indicated a high level of satisfaction
with an average score of 86 percent. These results conclude and demonstrate that integrating conversational
artificial intelligence into a simulation game provides an engaging and effective educational
tool to raise environmental awareness. Nonetheless, the study highlights the need for ongoing support
from parents and educators to cultivate sustainable waste management practices among young people.
Future research should focus on expanding the game’s scope and evaluating its long-term impact on
users’ environmental literacy.
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