Business Intelligence untuk Validasi Desain Karakter Berbasis Budaya pada Game Aventala: “The Lost Tribe”


Authors

  • Fardani Annisa Damastuti Politeknik Elektronika Negeri Surabaya, Surabaya, Indonesia
  • Sevtian Bintang Yoda Politeknik Elektronika Negeri Surabaya, Surabaya, Indonesia
  • Fony Revindasari Politeknik Elektronika Negeri Surabaya, Surabaya, Indonesia
  • Naufal Airlangga Kusdianta Politeknik Elektronika Negeri Surabaya, Surabaya, Indonesia

DOI:

https://doi.org/10.47065/bulletincsr.v5i5.563

Keywords:

Game Design Character; Endemic Animals; Culture Elements; Personification; Original Character; Story-Driven Game

Abstract

This study focuses on culture-driven character design for Aventala: The Lost Tribe by transforming Indonesian endemic animals and cultural elements into humanoid forms documented in a character sheet. The objective is to formulate and validate a culture-driven character design pipeline via: (i) a personification sheet that maps physiology–fantasy–psychology–sociology, (ii) scene-based moodboards to align tone and persona, and (iii) a user study employing a six-indicator 5-point Likert instrument (mythology, culture, fantasy, naming, traits, and sheet readability) analyzed in a Business Intelligence dashboard. The method combines narrative comprehension (DRTA), qualitative data curation, sheet construction, moodboard development, and an online survey with the target audience. Results show a moodboard satisfaction level of 85.24% and character acceptance ranging from 83% to 86%, indicating coherence across cultural representation, fantasy elements, naming, and traits. These findings suggest the proposed pipeline is effective for evidence-based design, and the personification sheet serves as a practical cross-team artifact to guide iteration decisions.

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Published: 2025-08-30

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How to Cite

Damastuti, F. A., Yoda, S. B., Revindasari, F., & Kusdianta, N. A. . (2025). Business Intelligence untuk Validasi Desain Karakter Berbasis Budaya pada Game Aventala: “The Lost Tribe”. Bulletin of Computer Science Research, 5(5), 1203-1211. https://doi.org/10.47065/bulletincsr.v5i5.563

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