Penerapan Artificial Intelligence dalam Analisis Teks untuk Meningkatkan Interaksi pada Game Berbasis Natural Language Processing
Keywords:
Artificial Intelligence, Natural Language Processing, Analisis Teks, Interaksi Game, Non-Player Character (NPC), Keamanan JaringanAbstract
Perkembangan industri video game mendorong terciptanya pengalaman bermain yang semakin imersif dan realistis, namun masih terdapat kendala pada sistem dialog Non-Player Character (NPC) yang umumnya bersifat statis dan berbasis decision tree sehingga membatasi fleksibilitas interaksi pemain. Penelitian ini bertujuan untuk mengimplementasikan Artificial Intelligence (AI), khususnya Natural Language Processing (NLP), dalam menganalisis masukan teks pemain guna menghasilkan interaksi yang lebih dinamis dan kontekstual. Metode yang digunakan meliputi integrasi model NLP untuk intent classification (klasifikasi niat) dan sentiment analysis (analisis sentimen) agar sistem mampu memahami maksud serta emosi dalam bahasa alami pemain. Pengembangan sistem dilakukan menggunakan pendekatan System Development Life Cycle (SDLC) dan diimplementasikan dalam bentuk purwarupa game interaktif, lengkap dengan evaluasi performa latensi jaringan (Quality of Service) dan sistem keamanan (firewall) pada arsitektur cloud server. Hasil pengujian menunjukkan bahwa model NLP mampu menginterpretasikan struktur kalimat dengan tingkat akurasi yang tinggi, serta pertukaran data komunikasi dapat berjalan stabil dan aman, sehingga NPC dapat memberikan respons yang adaptif, variatif, dan sesuai konteks. Dengan demikian, penerapan AI dalam analisis teks terbukti efektif dalam mengatasi keterbatasan dialog statis, meningkatkan keterlibatan pemain, serta menciptakan pengalaman interaksi yang lebih responsif dalam lingkungan virtual.
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