The Sriwijaya University Library

  • Home
  • Information
  • News
  • Help
  • Librarian
  • Login
  • Member Area
  • Select Language :
    Arabic Bengali Brazilian Portuguese English Espanol German Indonesian Japanese Malay Persian Russian Thai Turkish Urdu

Search by :

ALL Author Subject ISBN/ISSN Advanced Search

Last search:

{{tmpObj[k].text}}
Image of  KLASIFIKASI ANOMALI PROSES LANDING PESAWAT TERBANG PADA BANDARA SULTAN SYARIF KASIM II MENGGUNAKAN METODE KNN

Text

 KLASIFIKASI ANOMALI PROSES LANDING PESAWAT TERBANG PADA BANDARA SULTAN SYARIF KASIM II MENGGUNAKAN METODE KNN

Aditya, Aditya - Personal Name;

Penilaian

0,0

dari 5
Penilaian anda saat ini :  

Air transportation still has the possibility of having an accident. According to Boeing, fatal accidents on flights occur mostly in the final approach phase, which is 28%, and the landing phase, which is 26%. In Indonesia, Sultan Syarif Kasim II Airport is in 6th place out of the 10 most dangerous airports, according to research written by Sandhyvavitri in 2014. According to the NTSC, from 2010 to 2016, 67% of aircraft accidents were caused by humans. Because of this, an analysis and modeling of ADS-B data classification were carried out to determine which aircraft violated the touchdown rules at Sultan Syarif Kasim II airport using the K-Nearest Neighbor (KNN) method. KNN is a machine learning method that classifies data based on the dominant class of the nearest neighbor. In this research, KNN is tested by utilizing a confusion matrix that produces accuracy, precision, recall, and f1-score values. The results of KNN testing using a ratio of 70% training data and 30% testing data from k = 2 to 11 values show that the k = 5 configuration has the best performance with an average evaluation metric value for each test of 99%. Keywords: K-nearest neighbor, machine learning, ADS-B, flight, landing, Sultan Syarif Kasim II.


Availability
Inventory Code Barcode Call Number Location Status
2307002978T122319T1223192023Central Library (Referens)Available but not for loan - Not for Loan
Detail Information
Series Title
-
Call Number
T1223192023
Publisher
Inderalaya : Jurusan Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya., 2023
Collation
viii, 64 hlm.; ilus.; 29 cm
Language
Indonesia
ISBN/ISSN
-
Classification
005.268 07
Content Type
-
Media Type
-
Carrier Type
-
Edition
-
Subject(s)
Jurusan Teknik Informatika
Pemrograman untuk sistem operasi tertentu
Specific Detail Info
-
Statement of Responsibility
SEPTA
Other version/related

No other version available

File Attachment
  •  KLASIFIKASI ANOMALI PROSES LANDING PESAWAT TERBANG PADA BANDARA SULTAN SYARIF KASIM II MENGGUNAKAN METODE KNN
Comments

You must be logged in to post a comment

The Sriwijaya University Library
  • Information
  • Services
  • Librarian
  • Member Area

About Us

As a complete Library Management System, SLiMS (Senayan Library Management System) has many features that will help libraries and librarians to do their job easily and quickly. Follow this link to show some features provided by SLiMS.

Search

start it by typing one or more keywords for title, author or subject

Keep SLiMS Alive Want to Contribute?

© 2025 — Senayan Developer Community

Powered by SLiMS
Select the topic you are interested in
  • Computer Science, Information & General Works
  • Philosophy & Psychology
  • Religion
  • Social Sciences
  • Language
  • Pure Science
  • Applied Sciences
  • Art & Recreation
  • Literature
  • History & Geography
Icons made by Freepik from www.flaticon.com
Advanced Search