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All Journal Jurnal Teknik Elektro Uniba (JTE Uniba)
M. Jaya Mayasa
Universitas Balikpapan
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Industrial & Manufacturing Engineering

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Identifikasi Citra Cacat Las Menggunakan Metode Gray Level Co-Occurance Matrix (GLCM) dan K-NN A Asni B; Mayda Waruni Kasrani; M. Jaya Mayasa
Jurnal Teknik Elektro Uniba (JTE UNIBA) Vol. 7 No. 1 (2022): JTE UNIBA (Jurnal Teknik Elektro Uniba)
Publisher : Lembaga Penelitian Universitas Balikpapan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36277/jteuniba.v7i1.176

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
Co-Authors a asni b Mayda Waruni Kasrani