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Auto generate level pada game strategi khalifah menggunakan algoritma genetika

Tarecha, Rachmad Imam (2015) Auto generate level pada game strategi khalifah menggunakan algoritma genetika. Undergraduate thesis, Universitas Islam Negeri Maulana Malik Ibrahim.

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Abstract

INDONESIA:

Game memiliki nilai-nilai edukasi di dalamnya. Dalam permainan pemain diberikan stimulus, kemudian pemain akan meresponya. Jika hal ini dilakukan secara terus menerus, maka pemain akan terlatih dengan sendirinya. Sejalan dengan teori pengkondisian klasik, game perlu dimainkan secara terus-menerus agar dapat mengkondisikan pemainya. Sayangnya, tidak semua pemain game memainkan game-nya dalam jangka waktu yang lama. Penyebabnya sangat beragam, salah satunya ialah level permainan yang terlalu sulit. Untuk itu diperlukan sebuah sistem yang mampu melakukan generasi level secara otomatis berdasarkan kemampuan pemain.

Menjawab persoalan tersebut, algoritma genetika dicoba untuk digunakan. Karena, secara teoritis, algoritma genetika memiliki kemampuan mencari nilai optimum berdasarkan nilai fitness yang ditentukan. Nilai fitness ini didefinisikan sebagai kemampuan pemain. Jadi, penggunaan algoritma genetika dalam sistem auto generate level diharapkan mampu membuat pemain game strategi Khalifah bermain secara kontinu. Agar nilai-nilai edukasi terkait tugas kekhalifahan yang dimandatkan Allah SWT, dapat terserap oleh pemain.

ENGLISH:

Games have an educational value. A game players will given the stimulant, then the player will give response back. If this is done continuously, a player will be trained by itself. In line with the theory of classical conditioning, the game should be played continuously in order to condition of the players. Unfortunately, not all gamers play his game in the long term. The reasons are varied, one of which is the level of play are too difficult. It required a system that is capable of performing automatic generation level based on the player's ability.

Answering these issues, try to use a genetic algorithm. Because, theoretically, the genetic algorithm has the ability to find the optimum value determined based on the value of fitness. The fitness value is defined as the ability of a player. Thus, the use of genetic algorithms in the system-level auto generated is expected to create a Caliph strategy game player can play continuously. So that the values of education-related tasks mandated Caliphate from Allah, can be absorbed by the player.

Item Type: Thesis (Undergraduate)
Supervisor: Arif, Yunifa Miftachul and Barizi, Ahmad
Contributors:
ContributionNameEmail
UNSPECIFIEDArif, Yunifa MiftachulUNSPECIFIED
UNSPECIFIEDBarizi, AhmadUNSPECIFIED
Keywords: Algoritma Genetika; Auto Generate Level; Game Strategi; Genetic Algorithm; Auto Generate Level; Strategis Games
Departement: Fakultas Sains dan Teknologi > Jurusan Teknik Informatika
Depositing User: Imam Rohmanu
Date Deposited: 13 Oct 2017 14:23
Last Modified: 13 Oct 2017 14:23
URI: http://etheses.uin-malang.ac.id/id/eprint/8164

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