Skripsi

PEMBANGKITAN TINGKAT BANTUAN ADAPTIF PADA PERMAINAN PEMBELAJARAN PEMROGRAMAN MENGGUNAKAN LOGIKA SAMAR

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Penilaian

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Educational games require an adaptive assistance level system to adjust the level of help provided according to the player's ability. This study aims to develop an adaptive assistance level system based on fuzzy logic using the Mamdani and Sugeno methods, with inputs including stars, completion, and time. The system was implemented using the Python programming language and tested with 1,000 simulated data entries generated based on the stars, completion, and time variables. The Mamdani method was used to produce linguistic outputs, while the Sugeno method generated numerical outputs. Evaluation results showed that the Mamdani method was more stable, with a standard deviation of 0.3353, while the Sugeno method exhibited greater variation with a standard deviation of 0.6045. In conclusion, fuzzy logic can effectively provide adaptive assistance based on player performance in educational games.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2507004856	T181299	T1812992025	Central Library (REFRENCE)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T1812992025

Publisher

Indralaya : Prodi Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya., 2025

Collation

xvi, 125 hlm.; ilus.; tab.; 29 cm.

Language

Indonesia

ISBN/ISSN

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Classification

004.07

Content Type

Text

Media Type

unmediated

Carrier Type

-

Edition

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Subject(s)

Teknik Informatika

Specific Detail Info

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Statement of Responsibility

HUSN

Other version/related

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