PREDIKSI AKURASI KEMENANGAN PADA PERMAINAN POKER MENGGUNAKAN ALGORITMA C5.0 DAN WEIGHT IMPROVED PARTICLE SWARM OPTIMIZATION (WIPSO)

JANUARSYAH, M FARIZ and Ermatita, Ermatita (2021) PREDIKSI AKURASI KEMENANGAN PADA PERMAINAN POKER MENGGUNAKAN ALGORITMA C5.0 DAN WEIGHT IMPROVED PARTICLE SWARM OPTIMIZATION (WIPSO). Master thesis, Sriwijaya University.

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Abstract

In the era of information technology, a lot of data can be taken from human activities based on computer systems. However, the system is not only found on computers, but in all areas of human life, be it in terms of health, security, even in games where the data collection from these activities becomes a database that can be used to search for new knowledge. Games are activities that cannot be separated from human life. Be it a physical game like football, or a game that uses strategy like chess. In terms of strategy, the poker game is one of the card games that rely on it, to make a prediction, one of the algorithms that is often used is the C5.0 Algorithm. This study aims to predict the accuracy of poker games using the Weight Improved Particle Swarm Optimization (WIPSO) algorithm for attribute selection which then uses the C5.0 algorithm to predict accuracy. The results of this study indicate that the accuracy of poker cards will increase, when using the C5.0 algorithm the accuracy obtained is 49.952% while the accuracy obtained by the C5.0 + WIPSO algorithm is 51.2%

Item Type:	Thesis (Master)
Uncontrolled Keywords:	Data Mining, Algoritma C5.0, WIPSO, Poker
Subjects:	Q Science > QA Mathematics > QA75-76.95 Calculating machines > QA76.9.D343 Data mining. Database searching. Big data.
Divisions:	09-Faculty of Computer Science > 55101-Informatics (S2)
Depositing User:	M. Fariz Januarsyah
Date Deposited:	12 Aug 2021 02:30
Last Modified:	12 Aug 2021 02:30
URI:	http://repository.unsri.ac.id/id/eprint/51995

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