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IMPLEMENTASI METODE K-MEANS DALAM ANALISA PENYEBAB KECELAKAAN PESAWAT DI INDONESIA

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Penilaian

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Aircraft accident data gathered and provided solely by the KNKT will be evaluated further to determine the severity of passengers involved in airplane crashes in Indonesia, as well as the optimal number of clusters. The number of clusters produced will be evaluated to establish the severity of the accident as a percentage of the total, as well as the causes of each severity of the plane crash. The elbow and silhouette index approaches were combined with the k-means clustering methodology to obtain the best number of clusters in this study. This study yielded the best results from the most clusters, as much as two. Furthermore, the findings show the correlation between the cause elements and the severity of aircraft accidents in each cluster Cluster 1 dominates the results for the mild category, with human as the causal component, according to the data distribution. The bulk of the severity of aviation accidents are included in the mild category, according to data collected over a 33-year period.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2207002539	T75424	T754242022	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T754242022

Publisher

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

Collation

xv, 63 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

001.420 7

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)

Jurusan Sistem Komputer
Metode Riset

Specific Detail Info

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Statement of Responsibility

SEPTA

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