Electron: Jurnal Ilmiah Teknik Elektro
Vol 4 No 1 (2023): Jurnal Electron, Mei 2023

Pengenalan Aksara Kaganga Lampung dengan Menggunakan Metode K-Nearest Neighbour (K-NN)

swadexi istiqphara (Institut Teknologi Sumatera)
Afida Nur Faida (Dinas Komunikasi dan Informatika, Kabupaten Tulang Bawang, Lampung)
Anisa Ulya Darajat (Universitas Lampung)



Article Info

Publish Date
31 May 2023

Abstract

Character recognition technology has been carried out using various artificial intelligence methods. In this paper, one of the artificial intelligence methods, namely K-nearest Neighbor (K-NN), will be proposed to recognize the kaganga script, which is the Lampung province script. The Lampung kaganga script is one of the Indonesian cultural assets from the native Lampung tribe. Currently, only a few people understand this Lampung kaganga script. Therefore, an effort is needed to preserve this character, one of which is through this research so that a computer application can be produced that helps in learning the Lampung kaganga script. In this paper, the recognition of the Kaganga Lampung script using the K-Nearest Neighbor (K-NN) will measure performance in terms of the recognition processing time and the recognition accuracy of this Lampung kaganga script. From the tests that have been carried out, the results obtained by using the K-NN method are able to recognize the kaganga Lampung character with an accuracy of 70% and the average time of the character recognition process is 1.1412 seconds.

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Journal Info

Abbrev

electronubb

Publisher

Subject

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy

Description

E-journal of the Department of Electrical Engineering, Faculty of Engineering, University of Bangka Belitung, is a media for publication and information for scientific papers, undergraduate thesis, research, planning and design concepts, and analysis from students, professors, or any authors ...