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

LUCYANA, NADYA and Passarella, Rossi (2022) IMPLEMENTASI METODE K-MEANS DALAM ANALISA PENYEBAB KECELAKAAN PESAWAT DI INDONESIA. Diploma thesis, Sriwijaya University.

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Abstract

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.

Item Type:	Thesis (Diploma)
Uncontrolled Keywords:	KNKT, K-Means, Cluster, Airplane Crashes
Subjects:	Q Science > Q Science (General) > Q300-390 Cybernetics > Q325.5 Machine learning Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation.
Divisions:	09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User:	Ms. Nadya Lucyana
Date Deposited:	01 Aug 2022 04:13
Last Modified:	01 Aug 2022 04:13
URI:	http://repository.unsri.ac.id/id/eprint/75424

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