Jurnal Teknik Elektro Uniba (JTE Uniba)
Vol. 7 No. 1 (2022): JTE UNIBA (Jurnal Teknik Elektro Uniba)

Identifikasi Citra Cacat Las Menggunakan Metode Gray Level Co-Occurance Matrix (GLCM) dan K-NN

A Asni B (Unknown)
Mayda Waruni Kasrani (Universitas Balikpapan)
M. Jaya Mayasa (Universitas Balikpapan)

Article Info

Publish Date
31 Oct 2022

Abstract

Abstract— The welding process is a very common thing done in industrial activities. The welding results must certainly be assessed so that the quality of the welding results is guaranteed. The quality of the welding results can be seen from the absence of defects on the surface of welding area. This research aims to determine the quality of welding results. The methods used to identify welding defects in penetrant test results are the Grey Level Co-Occurance Matrix (GLCM) and K-Nearest Neighbor methods. From 80 test data, total accuracy reached 85% which is divided into 4 classifications namely good, porosity, transverse and longitudinal. Test results for the good class obtained the highest accuracy of 90% of the 20 good test images compared to the accuracy of the other 3 classes

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Journal Info
Jurnal Teknik Elektro Uniba (JTE Uniba)
Website

Abbrev

JTE

Publisher

Universitas Balikpapan

Subject

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

Description

JTE UNIBA (Jurnal Teknik Elektro UNIBA) E-ISSN 2549-0842 dan 2528-6498 (media cetak), adalah jurnal ilmiah yang mempublikasikan hasil penelitian di bidang inovasi teknologi terapan dengan cakupan: Teknik Mesin, Teknik Elektro, Teknik Elektronika, teknik Kontrol dan Instrumentasi ,Teknik Informatika, ...