The articles in this issue were authored/co-authored by researchers from Universitas Pertamina (Indonesia), Institut Ilmu Sosial dan Manajemen STIAMI (Indonesia), STIES Gasantara (Indonesia), GD Goenka University (India), and Swiss German University (Indonesia).

This issue of JESCEE presents significant contributions across logistics management, healthcare technology, mechanical integrity, and electrical power systems, focusing on operational optimization, predictive modeling, and safety assessment. Key articles include:

• Web-Based Inventory Management: The development of a web-based inventory management system designed to replace manual recording methods, aiming to enhance data accuracy and operational efficiency at PT Ingress Technologies Indonesia.
• Radiology Patient Experience: A study applying machine learning algorithms, including Linear Regression and Random Forest integrated with recursive feature elimination, to accurately predict patient wait times in radiology departments, thereby improving service management.
• Inventory Control Optimization: An analysis utilizing the DMAIC method and Continuous Review System to optimize inventory levels and significantly reduce storage costs and Days of Inventory (DOI) at PT United Tractors Site Muara Tiga Besar.
• Storage Tank Integrity Assessment: A Fitness-for-Service (FFS) evaluation of a diesel atmospheric storage tank (T-125) using Ultrasonic Testing data and API 653 standards to calculate corrosion rates and remaining service life.
• Electrical Protection Analysis: A comprehensive evaluation of short-circuit disturbances using ETAP software to verify the breaking capacity of circuit breakers and ensure the reliability of the distribution network at PPSDM Migas.

This volume delivers valuable insights into digitalizing supply chains, applying AI in healthcare operations, maintaining industrial asset integrity, and ensuring the stability of electrical power distribution networks.