Adaptive game design has emerged as an effective approach to creating personalized gameplay experiences. In this study, the approach is applied to dynamically adjust game missions based on player preferences inferred from in-game behavior. The focus is on developing Adaptive Strike, a first-person shooter (FPS) game that uses fuzzy logic to identify player types based on the HEXAD model—Achiever, Free Spirit, Disruptor, or Player—and delivers missions tailored to those types. The game was developed using Unity for the PC platform and tested with participants aged 15–25. Evaluation was conducted using the Game User Experience Satisfaction Scale (GUESS-18), which measures player satisfaction across five main factors: usability, enjoyment, play engrossment, creative freedom, and personal gratification. As the data was normally distributed, an independent sample t-test was used to compare satisfaction levels between players who played the adaptive version and those who played a linear version of the game. The results from 44 respondents indicate that the adaptive game group had significantly higher satisfaction levels compared to the linear game group. These findings suggest that adaptive game design using fuzzy logic can significantly enhance player satisfaction compared to a linear game experience. / Desain permainan adaptif merupakan pendekatan yang semakin banyak digunakan untuk menciptakan pengalaman bermain yang dipersonalisasi. Dalam konteks penelitian ini, pendekatan tersebut diterapkan untuk menyesuaikan misi permainan berdasarkan preferensi pemain yang diidentifikasi melalui perilaku selama bermain. Penelitian ini berfokus pada pengembangan Adaptive Strike, sebuah permainan first-person shooter (FPS) yang menerapkan logika fuzzy untuk menentukan tipe pemain berdasarkan model HEXAD—Achiever, Free Spirit, Disruptor, atau Player—lalu menyajikan misi yang disesuaikan dengan tipe tersebut. Permainan dikembangkan menggunakan Unity untuk platform PC dan diuji coba pada responden berusia 15–25 tahun. Evaluasi dilakukan dengan menggunakan instrumen Game User Experience Satisfaction Scale (GUESS-18), yang mengukur kepuasan pemain berdasarkan lima faktor utama: usability, enjoyment, play engrossment, creative freedom, dan personal gratification. Karena data berdistribusi normal, analisis statistik dilakukan menggunakan uji independent sample t-test untuk membandingkan tingkat kepuasan antara kelompok pemain yang memainkan game adaptif dan kelompok pemain yang memainkan game linear. Melalui uji terhadap 44 responden, ditemukan bahwa kelompok pemain game adaptif memiliki rata-rata kepuasan yang lebih tinggi secara signifikan dibandingkan dengan kelompok game linear. Hasil ini menunjukkan bahwa desain game adaptif berbasis fuzzy logic mampu meningkatkan kepuasan bermain secara signifikan dibandingkan desain game yang bersifat linear.