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ANALISIS DATA PENYEBAB KECELAKAAN PESAWAT KOMERSIL DI DUNIA MENGGUNAKAN DATA BAAA DENGAN PENDEKATAN METODE K-MEANS CLUSTERING

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Penilaian

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This study focuses on analysing data on the causes of commercial aircraft accidents in the world using data from the Bureau of Aircraft Accident Archives from 1918-2021. Using K-means clustering to group the causes of aircraft accidents and using the silhouette index to determine the best number of clusters to use in K-means clustering. The purpose of this study is to find data from the correlation between the causes of airplane accidents and the number, then the results of these findings will determine the severity of the accident, and determine the cause of each severity level. The results of this study are that there are 2 accident clusters, other findings in the second cluster are clusters based on the range of the number of victims in each cluster. The second cluster is dominated by the severe category with technical factors as a frequent cause.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2207004684	T82582	T825822022	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T825822022

Publisher

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

Collation

xiv, 51 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

004.07

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)

Pengolahan data komputer
Jurusan Sistem Komputer

Specific Detail Info

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Statement of Responsibility

SEPTA

Other version/related

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