The Journal of Emerging Supply Chain, Clean Energy, and Process Engineering (JESCEE) ISSN: 2963-8577 (Print) | ISSN: 2964-3511 (Online)

The Journal of Emerging Supply Chain, Clean Energy, and Process Engineering (JESCEE) provides a leading, peer-reviewed platform for the dissemination of significant original research, critical reviews, and detailed case studies. The journal serves as an essential source of scientific knowledge for the global community of researchers, engineers, academics, and practitioners affiliated with research institutions, government agencies, and industrial sectors.

While encompassing relevant aspects of mechanical, electrical, chemical, and logistics engineering, JESCEE places particular emphasis on publishing advancements and synergistic developments within three core areas:

  1. Emerging Supply Chains
  2. Clean Energy Solutions
  3. Process Engineering Methodologies

Key areas of interest include, but are not limited to:

  • Clean Energy: Analysis, design, and implementation of renewable energy sources, advanced energy conversion technologies, clean energy storage and generation systems, and integrated energy management systems.
  • Process Engineering: Development and application of process and product simulation, reaction engineering principles, process diagnostics, monitoring, and control strategies.
  • Modeling & Optimization: Utilization of mathematical modeling, advanced simulation techniques, and robust optimization methodologies across pertinent engineering domains.
  • Advanced Systems: Application of expert systems and artificial intelligence (AI) techniques within energy systems and process engineering contexts.
  • Supply Chain & Logistics: Presentation of innovations, engineering approaches, and optimization strategies for sustainable, resilient, and emerging supply chains.

Manuscripts submitted to JESCEE undergo a rigorous peer-review process, evaluated by a minimum of two qualified referees. The journal is published biannually under the imprint of the Faculty of Industrial Technology, Universitas Pertamina.

Vol. 3 No. 2 (2024): Journal of Emerging Supply Chain, Clean Energy, and Process Engineering

The articles in this issue were authored/co-authored by authors from Universitas Pertamina - Indonesia, Universitas Borneo Tarakan-Indonesia, PT. PLN Nusa Daya Unit PLTU Malinau - Indonesia, and Universitas Katolik Indonesia Atma Jaya - Indonesia.

This issue of JESCEE (Vol. 3 No. 2, 2024) presents significant contributions across electrical engineering, mechanical engineering, and industrial safety, focusing on performance analysis, control systems, and risk assessment. Key articles include:

  • Force Measurement Uncertainty in Robotics: An investigation quantifying measurement uncertainty using Weighted Least Squares (WLS) for a load cell-based force measurement device developed for biomimetic robot research, analyzing the impact of taring processes.
  • Synchronous Generator Performance: An analysis of how changes in electrical load affect the performance and efficiency of synchronous generators, using operational data from Unit 2 at PT. PLN Nusa Daya Unit PLTU Malinau.
  • PLC-Based Motor Control: The design and implementation of a Programmable Logic Controller (PLC) system for controlling a forward-reverse, double-speed three-phase Dahlander induction motor.
  • Pressure Vessel Risk Assessment: Application of Risk-Based Inspection (RBI) methodology, following API 581 standards, to assess the risk level and plan inspections for a refrigerant accumulator pressure vessel at PT XYZ.
  • Electrical Network Protection Schemes: An examination of the Defense Scheme utilizing Over Generation Shedding (OGS) for protecting the Cilegon-Cibinong electrical conductor within the PT PLN (Persero) UIP2B JAMALI network.

This volume delivers valuable insights into improving measurement accuracy in robotics, optimizing power generation efficiency, advancing industrial motor control, enhancing equipment safety through risk assessment, and ensuring electrical grid stability.

Published: 2024-12-13

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