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All Journal JMES The International Journal of Mechanical Engineering and Sciences Jurnal Riset Rumpun Ilmu Teknik (JURRITEK) The Indonesian Journal of Computer Science
Juliarsyah, Mohammad Rizanto
Mechanical Engineering Departement, Politeknik Negeri Malang, Indonesia
Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Energy Engineering Materials Science & Nanotechnology Mechanical Engineering

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Journal : The Indonesian Journal of Computer Science

 1 
Development of Corrosion Segmentation Using Deep Learning Double Architecture Method to Assist the Analysis and Evaluation Process of Corrosion Inspection Juliarsyah, Rizanto; Alief Wikarta
The Indonesian Journal of Computer Science Vol. 13 No. 2 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i2.3633

Abstract

Corrosion of pump unit components often occurs in coal mines and can lead to frequent failures of some components. As a result, a corrosion inspection needs to be performed on each component to minimize the possibility of damage. Currently, manual inspection methods are used for corrosion testing but there are still metal defects in the form of corrosion that are uninspected. Therefore, this study aimed to develop corrosion segmentation using computer vision with deep learning double architecture method for detection and evaluation of metal corrosion in order to reduce the loss due to manual inspections. To produce a faster and more accurate analysis method, deep learning double architecture algorithm, namely VGG16-UNET, can be applied with the help of computer vision technology. Consequently, the use of VGG16-UNET method achieved an accuracy of 98.42%. This is in contrast with the single UNET architecture, which produced an accuracy of 92.6%. Based on these findings, it was concluded that the development of this recommended inspection made the analysis and evaluation of corrosion inspection to be quick and easy.
Design of Mechanics and Locomotion System For Box Culverts Inspection Robot Anwar, Khoirul; Juliarsyah, Mohammad Rizanto; Pungkiarto, Irwanda Yuni; Mohammad Abdullah
The Indonesian Journal of Computer Science Vol. 14 No. 3 (2025): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i3.4907

Abstract

In Indonesia there is often a flood caused by continuous heavy rain, based on the observation of the condition of the culprit is the cause of flooding in Indonesia. One of the problems owned by the public Works office today is the presence of Dutch-made sewers with concrete materials that have a depth of 6 meters below the surface so that the workers are hard to reach. The following problems need to be developed a technology that does not require human presence to directly monitor the circumstances that occur in the drain pipes (sewers) by using a mobile robot to perform monitoring. The result of this study obtained output in the form of a mobile robot that can work in various terrain, and to get a good response in the control system used Ziegler-Nichols for Tunning.
Co-Authors Alief Wikarta Anwar, Khoirul KHOIRUL ANWAR Khoirul Anwar Mohammad Abdullah Risnawati, Faradilla Fauziyah Shabrina, Dhia Fairuz Walid, Achmad Yuni Pungkiarto, Irwanda