Skripsi

KLASTERISASI DATA TAKE-OFF PENERBANGAN DI BANDAR UDARA SULTAN HASANUDDIN MENGGUNAKAN ALGORITMA K-MEANS

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Penilaian

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Sultan Hasanuddin Airport has an accident virginity rate with a total movement of 212,656 and a deviation value (the result of calculating the deviation between expected occurrence and recorded occurrence) of 3,540. This is due to many factors, such as natural factors, human errors, etc. Then it is necessary to classify flight data in the take-off phase in order to visualize the pattern of data spread based on the characteristics formed. The cluster method used in this research is K-Means which is an algorithm in the method of clusterization in data mining. K-Means group data into a cluster that has the same characteristics and the other characteristics are grouped into different clusters. Based on the results obtained from the research carried out using the K-Means cluster method, the results were given two classes of flight patterns, namely normal and abnormal. This is demonstrated by calculating the nearest distance by determining the centroid value randomly using the euclidean distance formula. The results of the analysis of the data provided a conclusive insight that C2 is a class with normal flight data, flights in the C2 class have ground speed sufficient to carry out flight and the distance of the aircraft from the end of the runway is still numerous and C1 is an abnormal class that flies at speeds faster than the minimum ground speed and flies in the half-to-end runway.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2307002819	T1169342	T1169342023	Central Library (Referens)	Available

Detail Information

Series Title

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Call Number

T1169342023

Publisher

Indralaya : Jurusan Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya., 2023

Collation

xiv, 74 hlm.; Ilus.; 29cm

Language

Indonesia

ISBN/ISSN

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Classification

004.660 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)

Database
Jurusan Teknik Informatika

Specific Detail Info

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Statement of Responsibility

FIRA

Other version/related

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