PRAYUDHA, YOPPY and Tutuko, Bambang and Rendyansyah, Rendyansyah (2021) IMPLEMENTASI KECERDASAN BUATAN PADA ORIGINAL BOARDGAME TELON MENGGUNAKAN METODE GENETIC ALGORITHM. Undergraduate thesis, Sriwijaya University.
Text
RAMA_56201_09011181320018.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (4MB) | Request a copy |
|
Text
RAMA_56201_09011181320018_TURNITIN.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (8MB) | Request a copy |
|
Preview |
Text
RAMA_56201_09011181320018_0012016003_0022098804_01_front_ref.pdf - Accepted Version Available under License Creative Commons Public Domain Dedication. Download (1MB) | Preview |
Text
RAMA_56201_09011181320018_0012016003_0022098804_02.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (136kB) | Request a copy |
|
Text
RAMA_56201_09011181320018_0012016003_0022098804_03.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (123kB) | Request a copy |
|
Text
RAMA_56201_09011181320018_0012016003_0022098804_04.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (185kB) | Request a copy |
|
Text
RAMA_56201_09011181320018_0012016003_0022098804_05.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (29kB) | Request a copy |
|
Text
RAMA_56201_09011181320018_0012016003_0022098804_06_ref.pdf - Bibliography Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (82kB) | Request a copy |
|
Text
RAMA_56201_09011181320018_0012016003_0022098804_07_lamp.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (3MB) | Request a copy |
Abstract
Artificial Intelligence (AI) is a set of programs planted in a system that used to complet a predefined task or a flexible decision maker from an external interaction. On a boardgame, the AI that being used must have a great compatibility with the game rule. This can be accomplished by using Genetic Algorithm (GA) method, which also giving a natural like resul. In this paper GA are used on the component that are responsible to the in game AI on original boardgame Telon created using Unity. After the testing, the result of the AI given with the ideal token placement in the game are 100% on the first priority condition with 60% of tolerance, the result from the second priority condition are 100% from 24% or error tolerance, and the third probability of the token placement on the third priority condition are 100% from 9.6 error tolerance.
Item Type: | Thesis (Undergraduate) |
---|---|
Uncontrolled Keywords: | Artificial intelegence, Genetic Algorithm, Boardgame, Unity |
Subjects: | T Technology > T Technology (General) > T1-995 Technology (General) |
Divisions: | 09-Faculty of Computer Science > 56201-Computer Systems (S1) |
Depositing User: | Users 9816 not found. |
Date Deposited: | 22 Jan 2021 05:04 |
Last Modified: | 22 Jan 2021 05:04 |
URI: | http://repository.unsri.ac.id/id/eprint/40799 |
Actions (login required)
View Item |