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JGGAG (Journal of Games, Game Art, and Gamification)
Published by Universitas Bina Nusantara
ISSN : -     EISSN : 2548480X     DOI : https://doi.org/10.21512/jggag.v1i1.7241
Core Subject : Science, Education, Art,
Arts Computer Science & IT Other
The Journal of Games, Game Art, and Gamification (JGGAG) is a double-blind peer-reviewed interdisciplinary journal that publishes original papers on all branches of academic areas and communities. Thematic areas include, but are not limited to: Games AI applications for serious games, Alternate reality games, Animation for serious games and virtual worlds, Artifacts and art with purpose, Augmented reality, Case studies in serious games and virtual worlds, Experimental serious games design, Game AI and artificial life, Game-based learning, edutainment and training, Nondigital games, Serious game methodologies Game Art Game design, Multimedia gaming, Serious game art, Serious game design, Virtual characters, Virtual environments Gamification Gamification of Learning, Education and Training, Marketing and Promotion related to gamification, Gamification in Health and Sports. JGGAG publishes scholarly articles, such as original research articles and reviews, position papers, and other critical and creative responses. The average time between submission and final decision is 60 days and the average time between acceptance and publication is 30 days.
Arjuna Subject : Ilmu Komputer (semua kategori) - Grafik Komputer dan Desain Berbantu Komputer
Articles 5 Documents
 1 
Search results for , issue "Vol. 10 No. 3 (2025)" : 5 Documents clear
Implementation of Finite State Machine in Flowchart-Based Visual Programming Game Iqbal Al Mahdi; Saiful Bukhori; Muhammad Ariful Furqon
Journal of Games, Game Art, and Gamification Vol. 10 No. 3 (2025)
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/jggag.v10i3.12133

Abstract

This study explores the implementation of Finite State Machines (FSMs) in a visual programming game based on flowcharts, aimed at enhancing the learning experience of programming concepts. Traditional programming education methods often struggle to engage beginners, leading to the development of interactive and intuitive approaches such as visual programming games. In this context, FSMs are integrated to manage the behavior of game units, allowing for dynamic state transitions based on user-defined flowcharts. The research adopts the Game Development Life Cycle (GDLC) approach, focusing on initialization, pre-production, production, and alpha testing stages. The primary objective is to implement and validate the FSM's effectiveness in controlling unit behavior within the game. Users can design strategies through a drag-and-drop interface, creating flowcharts that translate into FSM models, which dynamically control unit actions during gameplay. Results from the alpha testing indicate that the FSM implementation successfully manages the transitions and behaviors of game units according to the conditions specified in the flowcharts. This demonstrates the technical feasibility and effectiveness of the approach. Although the study does not extend to beta testing and release stages, the alpha testing provides a solid foundation for future research and development focused on user experience and broader feedback.
Procedural Story Generation for Visual Novels Using Large Language Models and Text-to-Image Techniques Hutama Husen, Dharma; Istiono, Wirawan
Journal of Games, Game Art, and Gamification Vol. 10 No. 3 (2025)
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/jggag.v10i3.12743

Abstract

Story-based video games have content limitations. A survey conducted among Genshin Impact players, 67% of respondents had reached the end of the avail- able story. The game’s ending may lead to repetitive gameplay. To increase the story content inside video games, this research uses Generative AI for pro- ducing procedural stories. This research also measures the similarity of generated stories using a sentence similarity model. Text contents are generated using an LLM named mistralai/Mixtral-8x7B-Instruct-v0.1. Picture contents are generated using a Text-To-Image model named stabilityai/stable-diffusion- xl-base-1.0. Story similarities are measured using a sentence similarity model named sentence-transformers/all-MiniLM-L6-v2 with a similarity threshold of 73%. The visual novel application is implemented in Unity Engine 2022.3.26f1 version. The connection between Unity and the models are established through REST API provided by Hugging Face website. The result of this research is an implementation of a Visual Novel game with Generative AI-made content, as well as measuring the uniqueness level of 36,667% for low usage and up to 60% for high usage. The reduction of uniqueness level is attributed to the appearance of common genres, as well as the increasing number of comparisons required. This research shows how to implement Generative AI in a visual novel game, and shows that a Generative AI’s ability to create unique stories will decrease with an increase in game repetitions.
The Analysis & Exploration of Emotional Attachment in Video Game Character Design: A Case Study of Life is Strange Ananda Saputra, Irgie; Januarsa, Aditya
Journal of Games, Game Art, and Gamification Vol. 10 No. 3 (2025)
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/jggag.v10i3.12784

Abstract

Character design in video games plays a crucial role in shaping players’ emotional engagement and long-term attachment to the characters they control and interact with. Narrative-driven games, in particular, rely heavily on visual aesthetics, personality construction, and moral agency to create emotionally resonant experiences. Life is Strange is selected as a case study due to its strong emphasis on character-centered storytelling, where the main character is developed through complex personal traits, emotional vulnerability, and narrative events that evolve according to players’ moral choices. These elements allow players to experience fluctuating emotional states throughout the gameplay. This study adopts a qualitative research approach to examine how visual character design and narrative structures contribute to the formation of emotional attachment, focusing specifically on teenage players in Indonesia. Data were collected through visual content analysis of the game’s character design and in-depth interviews with players to explore their emotional responses and interpretative experiences. The findings indicate that effective character design not only enhances emotional immersion but also enables players to recognize, express, and reflect upon their own emotions by relating in-game decisions to real-life experiences. Moral decision-making mechanics further strengthen this connection by positioning players as active participants in the character’s emotional journey. The conclusions of this study provide valuable insights for game developers and character designers, particularly in understanding how visual storytelling and narrative coherence can be strategically employed to foster emotional resonance and meaningful player–character relationships in narrative-driven video games.
The Gothic Gamification of Diablo: A Framework for the English Composition/First-Year Writing Classroom Munnelly, Patrick
Journal of Games, Game Art, and Gamification Vol. 10 No. 3 (2025)
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/jggag.v10i3.13701

Abstract

Gamification in the English composition classroom needs more research and varying approaches. This article presents a conceptual framework for gamifying the classroom, which is a model reimagining of a “skill tree” from the video game Diablo II. The framework is presented alongside elements and analyses from the game itself, with student feedback and student success data. While statistical analyses are not conducted, the game elements are extrapolated and the success rates and student comments are engaged with to support proof-of-concept. The game elements are also explored through the lens of the Gothic, which is used to assert and support a deep gamification framework, as opposed to the shallow BPL approaches of prior literature. The gothic gamified classroom asserts that this ground-up approach to the redesigned classroom should be a reincarnation of the game, as opposed to stapling a simply metaphor on top of the classroom. Essentially, this article shows how to gamify a classroom by explaining the rationale of the game, details elements of the game used and borrowed into the gamified classroom framework, and supports that framework with an explanation of proof-of-concept student feedback. All of this is presented as a framework to be further explored and tested for transference between other classrooms and disciplines.
Combining Search-Based and Evolutionary Techniques for Autonomous Pac-Man Gameplay Muhammad Haramain Asyi Emirryan; Hadisaputro, Jeffrey Matthew; Aditama, Galih Putra; Juwono
Journal of Games, Game Art, and Gamification Vol. 10 No. 3 (2025)
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/jggag.v10i3.14732

Abstract

Artificial intelligence has become a fundamental component in modern video game development, especially in the creation of autonomous and adaptive non-player character (NPC) behavior. This research proposes a hybrid artificial intelligence approach to enable fully autonomous gameplay in a classic Pac-Man environment without any form of user input. The proposed system combines evolutionary optimization methods with deterministic search algorithms to balance strategic planning and real-time decision-making. A Genetic Algorithm (GA) is utilized to optimize long-term gameplay strategies, including route selection and risk management, while A* pathfinding and adversarial search techniques are applied to support efficient real-time movement and enemy avoidance. Additionally, Breadth-First Search (BFS) and Depth-First Search (DFS) are implemented to model diverse ghost behaviors, resulting in a more dynamic, challenging, and adversarial game environment. Experimental evaluations indicate that the hybrid AI system demonstrates improved navigation stability, longer survival duration, and more consistent pellet collection when compared to baseline artificial intelligence models that rely on single techniques. The results further show that separating strategic optimization from tactical pathfinding enhances overall gameplay performance and adaptability. This study highlights the effectiveness of hybrid AI architectures in game environments and offers a structured educational framework for understanding and implementing artificial intelligence techniques within video game simulations, particularly for classic arcade-style games.

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