(JELIKU) Jurnal Elektronik Ilmu Komputer Udayana
Vol 11 No 2 (2022): JELIKU Volume 11 No 2, November 2022

Identifikasi Topeng Bali Dengan Metode KNN (K Nearest Neighbor)




Article Info

Publish Date
16 Jul 2022

Abstract

Mask art is art with the form of a face covering that has various forms such as humans and animals and is an important element in dance and mask drama. Unfortunately, many tourists and also the public cannot know the name of the Balinese mask they see. To overcome this problem, a system was built to help people who want to know information about Balinese masks but do not know the names or types of Balinese masks. In developing a system that able to identify Balinese masks, KNN classification method is implemented as a method that helps identify Balinese masks. The image entered by the user is processed until a classification result is obtained which is then sent back to the system so that it can be displayed to the user. The results of the system evaluation show the percentage accuracy of the KNN algorithm is 85% with value of k = 3.

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Journal Info

Abbrev

JLK

Publisher

Subject

Computer Science & IT

Description

Aim and Scope: JELIKU publishes original papers in the field of computer science, but not limited to, the following scope: Computer Science, Computer Engineering, and Informatics Computer Architecture Parallel and Distributed Computer Computer Network Embedded System Human—Computer Interaction ...