FEBIANSYAH, ANDI FIBULA (2023) PENGARUH JUMLAH VARIABLE INPUT DAN JUMLAH ANGGOTA VARIABLE INPUT PADA FUZZY STATE MACHINE (FuSM) DALAM PEMBUATAN AI UNTUK NPC. S1 thesis, Universitas Mercu Buana.
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Abstract
This study aims to find out the relationship that exists between the input variables and their set members with the performance of the Fuzzy State Machine (FuSM) used as Artificial Intelligence for Non-Playable Character (NPC). In this study, the researcher wanted to find out whether changing the number of input variables and the number of set members can change the performance of NPCs using FuSM, which can later be used to differentiate the level of difficulty in video games. By using the Unity game engine, the researcher created a Fuzzy Logic model which was combined with the State Machine in a C# script to control the NPC model. As a result of this research, it is hoped that it can be used as a reference in determining the level of performance in FuSM used in NPC through the number of input variables and their association members. Key words: Fuzzy State machine, Fuzzy Logic, Artificial Intelligence, NPC Penelitian ini bertujuan untuk mengetahui hubungan yang ada antara variabel input dan anggota himpunannya dengan kinerja Fuzzy State Machine (FuSM) yang digunakan sebagai Artificial Intelligence untuk Non-Playable Character (NPC). Pada penelitian ini peneliti ingin mengetahui apakah perubahan jumlah variabel input dan jumlah anggota set dapat mengubah performa NPC menggunakan FuSM yang nantinya dapat digunakan untuk membedakan tingkat kesulitan dalam video game. Dengan menggunakan game engine Unity, peneliti membuat model Fuzzy Logic yang digabungkan dengan State Machine dalam Bahasa pemrograman C# untuk mengontrol model NPC. Hasil dari penelitian ini diharapkan dapat dijadikan acuan dalam menentukan tingkat performa FuSM yang digunakan pada NPC melalui jumlah variabel input dan anggota himpunanya. Kata kunci: Fuzzy State machine, Fuzzy Logic, Artificial Intelligence, NPC
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