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Uranus: Jurnal Ilmiah Teknik Elektro, Sains dan Informatika
Published by Asosiasi Riset Teknik Elektro Dan Informatika Indonesia
ISSN : 30319951     EISSN : 3031996X     DOI : 10.61132
Core Subject : Science,
Computer Science & IT
naskah hasil-hasil penelitian di bidang Teknik Elektro, Sains dan Informatika. Uranus : Jurnal Ilmiah Teknik Elektro, Sains dan Informatika
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 111 Documents
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Analisis Maintenance pada Operasional Mesin Roll Bending di PT Kenertec Power System Izzal Ihsani; Bagus Dwi Cahyono
Uranus : Jurnal Ilmiah Teknik Elektro, Sains dan Informatika Vol. 3 No. 4 (2025): Desember : Uranus : Jurnal Ilmiah Teknik Elektro, Sains dan Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/uranus.v3i4.1205

Abstract

This study analyzes the maintenance process of the Roll Bending machine used in the wind tower production line at PT Kenertec Power System, Cilegon, Indonesia. The Roll Bending machine plays a crucial role in shaping steel plates into cylindrical shell components, which are later assembled into wind tower sections. The objective of this research is to identify maintenance patterns, types of failures, and improvement strategies to ensure machine reliability and operational efficiency. The research employed observation, interviews with maintenance personnel, and documentation review to collect relevant data. The findings show that the machine experienced multiple failures, mostly related to hydraulic system leaks, PLC programming errors, and component wear such as cylinders, seals, and gear pumps. A significant increase in corrective maintenance activities occurred between August 2023 and April 2024, particularly in February 2024, indicating the need for a more consistent predictive maintenance strategy. The implications of this study highlight that optimized maintenance scheduling and monitoring are essential to reduce downtime, avoid production delays, and maintain product quality. This research is expected to support maintenance decision-making and contribute to the improvement of industrial machine reliability in wind tower manufacturing operations.

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