Pengembangan Game Escape From Basement dengan AI Berbasis Finite State Machine di Godot Engine Menggunakan Metode GDLC

Bagus Tri Sasongko

doi:10.24002/prosidingkonstelasi.v2i1.11083

Authors

Bagus Tri Sasongko Universitas Muhammadiyah Surabaya

DOI:

https://doi.org/10.24002/prosidingkonstelasi.v2i1.11083

Keywords:

GDLC, FSM, Waypoint Navigation, AI Monster, Godot Engine

Abstract

Abstrak. Escape From Basement adalah game survival horror dengan AI berbasis Finite State Machine (FSM) dan Waypoint Navigation untuk mengontrol perilaku serta pergerakan karakter AI. Penelitian ini bertujuan mengembangkan AI adaptif dan mengevaluasi efektivitasnya dalam meningkatkan tantangan dan imersi pemain. Metode yang digunakan adalah Research and Development (R&D) dengan pendekatan Game Development Life Cycle (GDLC), mencakup initiation, production, testing, dan release. FSM mengatur perilaku AI, sementara Waypoint Navigation memastikan pergerakan yang dinamis. Hasil penelitian menunjukkan kombinasi FSM dan Waypoint Navigation menciptakan AI yang responsif, meningkatkan tingkat kesulitan, serta keterlibatan pemain. Penelitian ini menjadi referensi bagi pengembang game indie dalam mengimplementasikan AI berbasis FSM di Godot Engine. Studi selanjutnya dapat mengeksplorasi Behavior Trees, pembelajaran mesin, atau fitur multiplayer untuk pengalaman yang lebih dinamis.

Kata kunci: GDLC; FSM; Waypoint Navigation; AI Monster; Godot Engine.

Abstract. Escape From Basement is a survival horror game with AI using Finite State Machine (FSM) and Waypoint Navigation to control character behavior and movement. This study aims to develop adaptive AI and evaluate its effectiveness in enhancing challenge and immersion. The method used is Research and Development (R&D) with the Game Development Life Cycle (GDLC) approach, including initiation, production, testing, and release. FSM manages AI behavior, while Waypoint Navigation ensures dynamic movement. Results show that combining FSM and Waypoint Navigation creates responsive AI, increases difficulty, and enhances player engagement. This research serves as a reference for indie developers using FSM-based AI in Godot Engine. Future studies may explore Behavior Trees, machine learning, or multiplayer features for a more dynamic experience.

Keywords: GDLC; FSM; Waypoint Navigation; AI Monster; Godot Engine.

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