Skripsi

PENGGUNAAN METODE MULTIPLE LINEAR REGRESSION UNTUK MEMPREDIKSI PATHLOSS PADA KOMUNIKASI 4G LTE DI KOTA PALEMBANG

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Penilaian

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Radio Propagation is a wireless delivery of information and data through electromagnetic waves between two antennas. The electromagnetic waves will face a certain hindrance in a form of signal level reduction caused by certain factors such as environmental condition interferences which are the amount of objects between antennas, the shape of the terrain, and an occurrence of diffraction, reflection, refraction, called Pathloss. In this research a prediction with the highest accuracy posibbly achieved will be done to an acquired data about Pathloss to hit the maimum efficiency in telecommunication planning. The Method Multiple Linear Regression is going to be used towards the acquired data which is obtained by doing drive test to certain areas in Palembang city using the Trans Musi Route on 4G LTE Networks.. The prediction will be continued with comparisons between different distributions of training data and testing data. The first ratio which is of the most importance is 70:30, in which then will be compared to the ratios 80:20 and 90:10. The Accuracy achieved will be given validation parameters to check the genuinity with certain. The best results achieved occurred in the 70:30 ratio with the accuracy of 97,676%, accompanied with the R2 Score of 97,63%, MAE of 1,39,MSE of 4,657, and RMSE of 2,158.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2107002704	T59432	T594322021	Central Library (REFERENCES)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T594322021

Publisher

Inderalaya : Prodi Sistem Komputer, Fakultas Ilmu Komputer Universitas Sriwijaya., 2021

Collation

xv, 52 hlm. : ilus. ; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

004.650 7

Content Type

Text

Media Type

unmediated

Carrier Type

unspecified

Edition

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Subject(s)

Jaringan Komunikasi Komputer
Prodi Sistem Komputer

Specific Detail Info

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Statement of Responsibility

Win

Other version/related

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