Skripsi

KLASTERISASI DATA KECELAKAAN LALU LINTAS JALAN RAYA DI PROVINSI JAMBI MENGGUNAKAN METODE K-MEANS

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Penilaian

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Traffic accidents are one of the main problems faced by many regions, including Jambi Province, where accidents often result in losses both in terms of casualties and material. This research focuses on applying the K Means clustering method to analyze traffic accident data in Jambi Province. The analyzed data are from 2018 to 2022, obtained from the Traffic Directorate of Jambi Province and Muaro Jambi Police Station, and involves data collection, preparation, and preprocessing processes. Data clustering produced seven clusters for the accident data dataset with the smallest value of 0.1202 as the optimal number of clusters, while the incident location data dataset produced 6 clusters with the smallest DBI value of 0.3945 as the optimal number of clusters. This confirms the effectiveness of the K Means method in traffic accident analysis.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2407001666	T141182	T1411822024	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T1411822024

Publisher

Inderalaya : Prodi Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya., 2024

Collation

xvii, 87 hlm.; Ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

004.907

Content Type

Text

Media Type

unmediated

Carrier Type

-

Edition

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Subject(s)

Prodi Teknik Informatika
Pemrosesan Data Non Elektronik

Specific Detail Info

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Statement of Responsibility

SEPTA

Other version/related

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