Abstract:Preventive Maintenance, Predictive Maintenance, Corrective Maintenance in induction motor 3 phase is one of the equipment that is highly used to support the various processes. In general, induction motors are used to rotate…
ate pumps, blowers or compressors. Maintenance is a combination of various action taken to maintain an asset and repairs that is always in a ready to use condition to carry out productivity effectively and efficiently in accordance with standards. To improve the performance of the generator in the PLTU, and maintain the working performance of the motor routine maintenance needs to be carried out. Motor maintenance is one of the most important things to increase the reliability of the production process in an industry. In various industrial activities which are full of exciting processes, motor motors are one of the equipment or tools that are highly used to support these various processes. In large industries, induction motor, are the main control for driving other equipment.
Abstract:Penelitian ini membahas pemanfaatan Artificial Intelligence (AI) dalam smart manufacturing serta perubahan peran Human Resource Development (HRD) di era Industri 4.0. Melalui studi pustaka dari berbagai jurnal nasional,…
penelitian ini menemukan bahwa AI memiliki pengaruh besar terhadap peningkatan efisiensi produksi, mulai dari predictive maintenance yang mampu mengurangi gangguan mesin hingga sistem quality inspection berbasis computer vision yang membuat proses pengecekan lebih cepat dan akurat. Di sisi lain, perkembangan teknologi ini membuat HRD harus menyesuaikan cara kerja mereka, terutama dalam hal rekrutmen, pelatihan, dan pengembangan kompetensi karyawan. HRD kini dituntut lebih memahami teknologi digital agar mampu menyiapkan tenaga kerja yang sesuai dengan kebutuhan industri modern. Hasil kajian menunjukkan bahwa peran teknologi dan HRD saling melengkapi karena penerapan AI tidak akan berjalan optimal tanpa kesiapan karyawan. Dengan demikian, perusahaan perlu mengatur strategi yang seimbang antara pemanfaatan teknologi dan penguatan kemampuan SDM.
Abstract:Perkembangan revolusi Industry 4.0 mendorong transformasi besar dalam sistem manufaktur melalui integrasi teknologi digital dan kecerdasan buatan. Machine Learning (ML) menjadi salah satu elemen kunci dalam otomasi industri…
tri karena kemampuannya memproses data secara adaptif untuk mendukung pengambilan keputusan otonom. Penelitian ini bertujuan untuk meninjau secara sistematis penerapan Machine Learning dalam sistem manufaktur otomatis dengan menyoroti tren, tantangan, serta arah penelitian masa depan. Metode yang digunakan adalah Systematic Literature Review (SLR) terhadap 30 artikel jurnal internasional terindeks Scopus, IEEE Xplore, dan ScienceDirect dalam rentang tahun 2020–2025. Hasil studi menunjukkan bahwa Machine Learning banyak diterapkan pada empat domain utama: predictive maintenance, process optimization, quality control, serta intelligent automation. Algoritma yang dominan digunakan meliputi supervised learning dan deep reinforcement learning, yang terbukti mampu meningkatkan efisiensi operasional hingga 35%. Namun demikian, isu terkait interpretabilitas model, keterbatasan data industri, serta integrasi manusia–AI masih menjadi tantangan utama. Studi ini mengusulkan kerangka konseptual AI–Driven Manufacturing Framework sebagai panduan pengembangan sistem manufaktur cerdas yang adaptif, transparan, dan berkelanjutan menuju era Industry 5.0.
Abstract:The Malacca Strait is a vital maritime route that faces significant challenges from high traffic volumes and increasingly frequent extreme weather scenarios. These conditions pose serious risks to navigational safety, environmental…
vironmental integrity, and maritime operational security. This study aims to analyse the needs and components of a robust maritime surveillance architecture in the Malacca Strait, particularly in dealing with the impacts of extreme weather and climate change. Additionally, this research will explore the role of geospatial maritime intelligence in enhancing situational awareness and response to maritime incidents. The study findings indicate that a resilient surveillance architecture in the Malacca Strait requires the integration of advanced sensor systems (including multi-spectral radar and meteorological/oceanographic sensors), redundant communication networks, and AI/ML-based intelligent data processing. The adaptive capabilities of the system, including the use of UAVs and USVs, are critical to maintaining operational effectiveness in adverse weather conditions. Additionally, international cooperation and a robust policy framework, encompassing climate change adaptation and ethical considerations, are fundamental to the successful implementation and sustainability of surveillance systems. The Malacca Strait case study highlights specific vulnerabilities and proposes concrete solutions, illustrating a shift from a reactive to a proactive paradigm in maritime security. Building a resilient surveillance architecture in the Malacca Strait is a strategic imperative to safeguard global trade, regional stability, and environmental sustainability amid increasing climate uncertainty. Integrating cutting-edge technology with robust policies and international collaboration will ensure the safety and security of this vital waterway, making it a model for resilient maritime governance globally. A new aspect emphasised is the importance of adapting to climate change and the role of AI in predictive decision-making. This article presents a comprehensive and integrated approach to building a resilient maritime surveillance architecture, with a particular focus on the challenges of extreme weather in the Malacca Strait. Its originality lies in its emphasis on multi-sensor data fusion, the role of artificial intelligence in predictive analytics, and the integration of climate change adaptation into surveillance system design. Additionally, the article underscores the importance of a robust policy framework and international cooperation as the cornerstones of maritime surveillance resilience, offering a blueprint applicable to other critical maritime routes worldwide