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

YOUSNAIDI, RANI SILVANI and Passarella, Rossi and Kurniati, Rizki (2023) KLASIFIKASI KUALITAS SINYAL ADS-B PADA DATA KEBERANGKATAN PENERBANGAN DI BANDARA SULTAN MAHMUD BADARUDDIN II MENGGUNAKAN PENDEKATAN MACHINE LEARNING. Undergraduate thesis, Sriwijaya University.

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Abstract

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.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	ADS-B, Signal Quality, Classification, SVM, Random Forest, Naïve Bayes
Subjects:	T Technology > T Technology (General) > T1-995 Technology (General) > T14 Philosophy. Theory. Classification. Methodology Cf. CB478 Technology and civilization
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Rani Silvani Yousnaidi
Date Deposited:	26 Jun 2023 02:19
Last Modified:	26 Jun 2023 02:19
URI:	http://repository.unsri.ac.id/id/eprint/113208

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