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PATH LOSS PREDICTION DENGAN MENGGUNAKAN RANDOM FOREST DAN MODEL COST-HATA PADA AREA JALUR BUSWAY KOTA PALEMBANG

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Penilaian

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Path loss is a phenomenon in which attenuation occurs in a wireless network when transmitting from transmitter to receiver due to environmental field conditions. In order to achieve efficieny in telecommunication design, accurate and efficient calculations are required. Machine learning – based path loss prediction models, Random Forest and Cost – Hata as an empirical propagation model for comparing accuracy levels, are employed in this final project research. Machine learning – based path loss models have a low complexity with very high predictability. The data was collected through the drive test method in Palembang, South Sumatra, Indonesia, especially the Transmusi busway area with corridor 5 on the 4G network. From the research conducted, it is obtained that the prediction accuracy of Random Forest with the validation of the MAPE error values is better when compared to Cost – Hata.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2207001103	T70283	T702832022	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T702832022

Publisher

Inderalaya : Jurusan Sistem Komputer, Fakultas Ilmu Komputer., 2022

Collation

xvii, 83 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

004.507

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

penyimpanan
Jurusan Sistem Komputer

Specific Detail Info

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Statement of Responsibility

SEPTA

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