IMPLEMENTASI ARTIFICIAL INTELLIGENCE RANDOM NUMBER GENERATOR DAN A STAR DENGAN METODE GDLC PADA GAME 2D BALAP KARUNG DAN PETAK UMPET TRADISIONAL INDONESIA BERBASIS ANDROID

IMPLEMENTATION OF ARTIFICIAL INTELLIGENCE RANDOM NUMBER GENERATOR AND A STAR WITH GDLC METHOD IN 2D GAME OF TRADITIONAL INDONESIAN SACK RACE AND HIDE AND SEEK BASED ON ANDROID

Perkembangan teknologi informasi yang pesat telah membawa perubahan signifikan dalam berbagai aspek kehidupan, termasuk pelestarian budaya melalui media digital. Permainan tradisional Indonesia seperti balap karung dan petak umpet mengalami penurunan minat di kalangan generasi muda akibat modernisasi. Penelitian ini bertujuan mengembangkan game offline balap karung dan petak umpet berbasis Android dengan implementasi kecerdasan buatan (Artificial Intelligence/AI) menggunakan algoritma Random Number Generator (RNG) untuk game balap karung dan algoritma A* model pathfinding untuk game petak umpet. Metodologi pengembangan yang digunakan adalah Game Development Life Cycle (GDLC) dengan Unity sebagai game engine utama. 

Implementasi RNG pada game balap karung berfungsi untuk menghasilkan perilaku NPC yang dinamis dan tidak terprediksi, seperti variasi kecepatan lompatan dan pola pergerakan. Sedangkan algoritma A* model pathfinding pada game petak umpet memungkinkan NPC pencari untuk menemukan jalur optimal dalam mencari pemain yang bersembunyi, menciptakan pengalaman bermain yang realistis dan menantang. Penelitian ini menggunakan pengujian fungsional, performa, dan user experience untuk mengevaluasi efektivitas implementasi AI. 

Kata kunci: Game Tradisional Indonesia, Random Number Generator, Algoritma A*, Game Development Life Cycle, Unity. 

The rapid development of information technology has brought significant changes in various aspects of life, including cultural preservation through digital media. Traditional Indonesian games such as sack racing and hide-and-seek have experienced a decline in interest among the younger generation due to modernization. This research aims to develop Android-based offline games of sack racing and hide-and-seek with the implementation of artificial intelligence (AI) using the Random Number Generator (RNG) algorithm for sack racing games and the A* pathfinding model algorithm for hide-and-seek games. The development methodology used is Game Development Life Cycle (GDLC) with Unity as the main game engine. The implementation of RNG in the sack racing game serves to produce dynamic and unpredictable NPC behavior, such as variations in jump speed and movement patterns. While the A* algorithm pathfinding model in hide-and-seek game allows the searcher NPC to find the optimal path in searching for hiding players, creating a realistic and challenging gaming experience. This research uses functional, performance, and user experience testing to evaluate the effectiveness of the AI implementation.

Keyword: Indonesian Traditional Game, Random Number Generator, A* Algorithm, Game Development Life Cycle, Unity.