Skripsi

INTERAKSI DIALOG NPC BERBASIS SPEECH RECOGNITION DAN FUZZY STRING MATCHING DENGAN LEVENSHTEIN DISTANCE PADA GAME ROBLOX

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This study aims to develop an interactive dialogue system based on Speech Recognition in games, allowing players to interact with Non-Player Characters (NPCs) through real-time voice commands. The method used is Fuzzy String Matching with the Levenshtein Distance algorithm to calculate the similarity between speech-to-text conversion results and predefined system commands. The research stages include system design, Speech Recognition feature implementation, and system performance testing using a threshold value as the reference for input matching. Based on testing conducted on 90 data samples from several user categories, the system achieved a voice recognition accuracy of 81.11%. The results show that the implementation of Fuzzy String Matching with an 85% threshold improves the system’s flexibility in understanding pronunciation variations and user input errors. The system is also capable of providing appropriate NPC responses, making interactions between players and NPCs more natural and interactive. This research is expected to serve as a reference for the development of voice-based interactive games.

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Detail Information

Series Title

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Call Number

T1989662026

Publisher

Indralaya : Prodi Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya., 2026

Collation

xvi, 130 hlm.; ilus.; tab.; 29 cm.

Language

Indonesia

ISBN/ISSN

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Classification

006.350 7

Content Type

Text

Media Type

unmediated

Carrier Type

-

Edition

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Subject(s)

Pengenalan suara
Prodi Teknik Informatika

Specific Detail Info

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Statement of Responsibility

KA

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