Skripsi

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

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Penilaian

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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%

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2107002255	T51995	T519952021	Central Library (REFERENCES)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T519952021

Publisher

Inderalaya : Progra Magister Ilmu Komputer, Fakuls Ilmu Komputer, Universitas Sriwijaya., 2021

Collation

xiii, 85 hlm.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

005.407

Content Type

Text

Media Type

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Carrier Type

-

Edition

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Subject(s)

Sistem Pemrograman
Prodi Magister Ilmu Komputer

Specific Detail Info

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Statement of Responsibility

NO

Other version/related

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