Skripsi

PENGEMBANGAN MODEL PREDIKSI DURASI TIDUR TERHADAP PENGGUNAAN MEDIA ELEKTRONIK MENGGUNAKAN PENDEKATAN PEMBELAJARAN MESIN

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Penilaian

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The study aims to determine the best regression model to measure the linear relationship between electronic media use and sleep duration. as well as testing and measuring the level of impact of electronic media use on sleep duration.This study used various regression models that were developed and evaluated to determine the best model. The regression models are Linear Regression, Polynomial Regression, Lasso Regression, DecisionTree Regression, RandomForest Regression, Support Vector Regression (SVR), and Huber Regression. RandomForest regression showed the best performance with the highest R-squared and lowest MSE.Random Forest regression was selected as the best model. Although the R-squared and MSE values showed a mismatch, the mean residual value was close to 0, illustrating the model''s ability to capture the complexity of the data. The results also refuted the hypothesis that sleep duration is influenced by electronic media use

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2407000626	T138762	T1387622023	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T1387622023

Publisher

Inderalaya : Prodi Sistem Komputer, Fakultas Ilmu Komputer Uniersitas Sriwijaya., 2023

Collation

xiii, 50 hlm.; Ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

005.107

Content Type

Text

Media Type

unmediated

Carrier Type

-

Edition

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Subject(s)

Sistem Analisa Dan Desain Perangkat Lunak
Prodi Sistem Komputer

Specific Detail Info

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Statement of Responsibility

SEPTA

Other version/related

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