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Found 1 from your keywords: subject="Prediksi lalu lintas"

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PREDIKSI KEPADATAN LALU LINTAS BERDASARKAN DATA ELECTRONIC TRAFFIC LAW ENFORC…

Traffic density is a complex issue in Palembang City that impacts time efficiency, fuel consumption, and environmental quality. This study aims to predict traffic density using Electronic Traffic Law Enforcement (ETLE) data as an objective source and Instagram social media data as a representation of public perception, applying the Random Forest method with an eliminating skewed distribution te…

Edition: -
ISBN/ISSN: -
Collation: xv, 85 hlm.; ilus.; tab, 29 cm
Series Title: -
Call Number: T1968812026

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