PENGARUH JUMLAH VARIABLE INPUT DAN JUMLAH ANGGOTA VARIABLE INPUT PADA FUZZY STATE MACHINE (FuSM) DALAM PEMBUATAN AI UNTUK NPC

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.

[img]
Preview
 Text (COVER)
01 COVER.pdf
Download (488kB) | Preview
[img]
Preview
 Text (ABSTRAK)
02 ABSTRAK.pdf
Download (24kB) | Preview
[img] Text (BAB I)
03 BAB 1.pdf
Restricted to Registered users only
Download (24kB)
[img] Text (BAB II)
04 BAB 2.pdf
Restricted to Registered users only
Download (111kB)
[img] Text (BAB III)
05 BAB 3.pdf
Restricted to Registered users only
Download (130kB)
[img] Text (BAB IV)
06 BAB 4.pdf
Restricted to Registered users only
Download (1MB)
[img] Text (BAB V)
07 BAB 5.pdf
Restricted to Registered users only
Download (19kB)
[img] Text (DAFTAR PUSTAKA)
08 DAFTAR PUSTAKA.pdf
Restricted to Registered users only
Download (112kB)
[img] Text (LAMPIRAN)
09 LAMPIRAN.pdf
Restricted to Registered users only
Download (1MB)

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

Item Type: Thesis (S1)
Call Number CD: FIK/INFO. 23 206
NIM/NIDN Creators: 41517110054
Uncontrolled Keywords: Fuzzy State machine, Fuzzy Logic, Artificial Intelligence, NPC
Subjects: 000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 003 Systems/Sistem-sistem
000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 003 Systems/Sistem-sistem > 003.5 Computer Modeling and Simulation/Model dan Simulasi Komputer
000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 004 Data Processing, Computer Science/Pemrosesan Data, Ilmu Komputer, Teknik Informatika
000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 004 Data Processing, Computer Science/Pemrosesan Data, Ilmu Komputer, Teknik Informatika > 004.1 General Works on Specific Types of Computers/Karya Umum tentang Tipe-tipe Khusus Komputer
Divisions: Fakultas Ilmu Komputer > Informatika
Depositing User: CALVIN PRASETYO
Date Deposited: 10 Nov 2023 01:24
Last Modified: 10 Nov 2023 01:24
URI: http://repository.mercubuana.ac.id/id/eprint/84083

Actions (login required)

View Item View Item
UMB Repository is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.