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DETEKSI KEPADATAN KENDARAAN DENGAN PERBANDINGAN ANALISA DATA MEDIA SOSIAL DAN ELCTRONIC TRAFFIC LAW ENFORCEMENT (ETLE) DIRLANTAS POLDA SUMSEL MENGGUNAKAN METODE K-NEAREST NEIGHBOR (K-NN)

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This study aims to compare data from two different sources, namely social media data and data from the Electronic Traffic Law Enforcement (ETLE) system, using the K-Nearest Neighbor method, in terms of the similarity between the actual labels and predicted results. The findings indicate that the similarity between the actual labels and predicted results for social media data reached 87.69%, while the similarity between social media data and ETLE data was 66.92%. This study provides insights into the potential use of social media data as an additional tool for analyzing road user behavior.

Availability
Inventory Code Barcode Call Number Location Status
2507003554T164420T1644202025Central Library (Reference)Available but not for loan - Not for Loan
Detail Information
Series Title
-
Call Number
T1644202025
Publisher
Indralaya : Prodi Sistem Komputer, Fakultas Ilmu Komputer Universitas Sriwijaya.,
Collation
iv, 115 hlm.; ilus.; tab.; 29 cm.
Language
Indonesia
ISBN/ISSN
-
Classification
004.07
Content Type
Text
Media Type
-
Carrier Type
-
Edition
-
Subject(s)
Sistem komputer
Specific Detail Info
-
Statement of Responsibility
Other version/related

No other version available

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