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Journal of Industrial Engineering and Management
Published by Universitas Malikussaleh
ISSN : -     EISSN : 29855683     DOI : https://doi.org/10.52088
Core Subject : Science, Agriculture, Social, Engineering,
Agriculture, Biological Sciences & Forestry Astronomy Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering
The aim of the Journal of Industrial Engineering and Management is to publish theoretical and empirical articles that are aimed to contrast and extend existing theories and build new theories that contribute to advance our understanding of phenomena related with industrial engineering and industrial management in organizations, from the perspectives of Production Planning/Scheduling/Inventory, Logistics/Supply Chain, Quality Management, Operations Management, and Operational Research. The contributions can adopt confirmatory (quantitative) or explanatory (mainly qualitative) methodological approaches. Theoretical essays that enhance the building or extension of theoretical approaches are also welcome. JAIEM selects the articles to be published with a double-blind peer review system, following the practices of good scholarly journals. JAIEM is published quarterly (online and printed) following an open-access policy. Online publication reduces publishing costs and makes reviewing and editing more agile. JAIEM defends that open-access publishing fosters the advancement of scientific knowledge, making it available to everyone. Main topics of interest but not limited to: Supply chain Lean manufacturing Operations improvement Innovation management in operations Operations in service industry Operational Research Total Quality Management Innovation in Engineering/Management Education Total Productive Maintenance How to manage workforce in operations Logistic in general Information Technology Chemical Engineering Mechanical Engineering Ergonomics Productions Electrical Engineering Information System Informatics Renewable Energy Engineering Civil Engineering Architecture Human Resource Management Entrepreneurship Banking management Industrial Management Digital Management HRD Management
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 1 Documents
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Search results for , issue "vol 4, no 1 (2026)" : 1 Documents clear
Smart Scan System for CNC Machine Utilization Optimization at Sriwijaya State Polytechnic Iqbal Nur Daiyan; Citra Dewi Sartika; Muhammad Hijra
Journal of Industrial Engineering and Management Vol 4, No 1 (2026)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/jaiem.v4i1.33

Abstract

The rapid advancement of information technology has accelerated digital transformation across various sectors, including higher education, where laboratory management plays an essential role in supporting practical learning, research, and academic services. However, the management of laboratory facilities in many vocational institutions is still dominated by conventional procedures, resulting in fragmented information, manual documentation, and limited accessibility to essential laboratory resources. In the CNC Laboratory of the Mechanical Engineering Department at Sriwijaya State Polytechnic, several challenges were identified, including the absence of an integrated platform for accessing Standard Operating Procedures (SOPs), manual machine usage recording through conventional logbooks, limited availability of machining parameter calculation tools, and separated access to practical jobsheets. These limitations reduce the efficiency of laboratory services and increase the risk of data recording errors and inconsistent operational practices. This study aimed to develop a Smart Scan-based Laboratory Management System to support the digitalization of CNC laboratory services by integrating multiple laboratory functions into a single web-based platform. The system was developed using the System Development Life Cycle (SDLC) approach, consisting of requirement analysis, system design, system development, testing, and implementation stages. The proposed system was built using HTML, CSS, JavaScript, GitHub Pages, and QR Code technology to provide easy access through smartphones without requiring additional software installation. The developed platform integrates several essential laboratory services, including digital SOPs, CNC Milling and Turning Calculators, machine usage request forms, and digital practical jobsheets within a unified Smart Laboratory environment. The implementation results demonstrate that the developed system successfully integrates various laboratory services into a single digital platform that operates effectively and improves accessibility to laboratory resources. The Smart Scan system simplifies machine usage documentation, supports paperless laboratory administration, enhances the efficiency of laboratory management, and provides students with faster access to operational information and practical learning materials

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