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DETEKSI KEPADATAN LALU LINTAS MENGGUNAKAN RFID (RADIO FREQUENCY IDENTIFICATION) DENGAN METODE SUPPORT VECTOR REGRESSION

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Penilaian

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Various kinds of positioning technologies have been used in everyday life. Thetechnology in the service usage system is based on tracking the position of objects or humans, namely Google Maps. RFID is often used in positioning systems because the cost is quite cheap, the time is quite long and the power used is very low. Conditions of congestion or traffic cessation, the cause of which is the large number of vehicles that exceed the capacity of the road, which is called traffic density. RFID is capable of providing vehicle position tracking features in traffic. In this study, we propose the Support Vector Regression method to predict the position of the coordinates on the tag and the Kalman filter as preprocessing to reduce signal data fluctuations. Predicted positional accuracy deviation in the first line is 14.09358315% and the average accuracy deviation in the second line is 10.75131272%.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2307000037	T85558	T855582022	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T855582022

Publisher

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

Collation

xvi, 95 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

006.307

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)

Sistem Pakar
Jurusan Sistem Komputer

Specific Detail Info

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Statement of Responsibility

SEPTA

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