Kecerdasan Buatan Menggunakan Fuzzy Coordinator Untuk Dynamic Difficulty Adjustment Pada Starcraft 2

Sandy Supriyadi, Muhammad Daryl Bey (2019) Kecerdasan Buatan Menggunakan Fuzzy Coordinator Untuk Dynamic Difficulty Adjustment Pada Starcraft 2. Masters thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Starcraft 2 merupakan sebuah game yang memiliki basis pemain yang cukup besar, sekitar 1 juta pemain. Meskipun game ini berfokus pada pemain lawan pemain, permainan pada Custome Game melawan bot yang disediakan oleh Blizzard masih sangat penting bagi para pemain pemula untuk belajar Starcraft 2, dan bagi para pemain profesional masih berguna untuk meningkatkan kemampuan mereka dalam berbagai macam kondisi yang mungkin terjadi. Namun AI yang telah disediakan pada game ini masih kurang cocok antara pemain dengan tingkat kesulitan AI, karena pemain masih belum tahu seberapa jauh batasan kemampuan mereka. Dan terkadang pemain profesinal masih frustasi dengan kemampuan AI yang memiliki keuntungan lebih tinggi. Penelitian ini menawarkan pengalaman bermain yang lebih untuk pemain dengan implementasi Dynamic Difficulty Adjustment (DDA)pada AI menggunakan Fuzzy Coordinator untuk menghindari kekurangan dengan menerapkan kesulitan yang tepat berdasarkan catatan pamain dalam game.
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Starcraft 2 is a game with quite a big player base achieving around 1 million players during the time when this paper was written. Although this game's focus is at multiplayer player versus player, its bot match mode is still a viable feature provided by Blizzard for beginner players to start learning Starcraft 2. And even for seasoned players, it is still used to improve their skill. However static AI implemented in this game are often mismatched between the player's skill and the AI's difficulty because the player themselves has yet to understand the limitations of their skill. Even for the seasoned player, facing AI with better resource management and resource income for the whole game is often still frustrating. This research offers enrichment in gaming experiences for players by implementing Dynamic Difficulty Adjustment (DDA) to avoid this misconception by applying the right difficulty based on player's in-game records.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	Starcraft 2, DDA, Fuzzy Coordinator, Artificial Intelligence
Subjects:	Q Science > QA Mathematics > QA336 Artificial Intelligence
Divisions:	Faculty of Electrical Technology > Electrical Engineering > 20101-(S2) Master Thesis
Depositing User:	Muhammad Daryl Bey Sandy Supriyadi
Date Deposited:	23 Jul 2026 07:56
Last Modified:	23 Jul 2026 07:56
URI:	http://repository.its.ac.id/id/eprint/67928

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