Skripsi

KLASIFIKASI KUALITAS SINYAL ADS-B PADA DATA KEBERANGKATAN PENERBANGAN DI BANDARA SULTAN MAHMUD BADARUDDIN II MENGGUNAKAN PENDEKATAN MACHINE LEARNING

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Penilaian

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The high risk of aircraft accidents, 63% during takeoff and 49% during the landing process, can be analyzed through ADS-B signal data owned by flights. The data collected through the AERO-TRACK application is processed with the aim of knowing the quality of ADS-B signals at Sultan Mahmud Badaruddin II Airport and the method that has the best performance in classifying imbalanced data into 4 different class labels. The results showed that the ADS-B signal quality was good because the majority of the data, namely 1.328 data, was labeled as Tier 1 with the f1-score performance of each classification method, namely 91% for Random Forest, 68% using the Naïve Bayes algorithm and 28% for the SVM algorithm.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2307002395	T113208	T1132082023	Central Library (REFERENS)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T1132082023

Publisher

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

Collation

xiv, 70 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

003.5 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)

Teori komunikasi dan kontrol
Jurusan Teknik Informatika

Specific Detail Info

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Statement of Responsibility

ANUG

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