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Penerapan Prinsip Ergonomi dalam Perancangan Alat Kerja untuk Meningkatkan Produktivitas dan Kesehatan Pekerja di Industri Manufaktur Ikbal Anggara; Zulfadlillah Zulfadlillah; Siti Nur Hamidah; Ibrahim Abdul Sopyan
JURNAL RISET RUMPUN ILMU TEKNIK Vol. 3 No. 1 (2024): April : Jurnal Riset Rumpun Ilmu Teknik
Publisher : Pusat riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurritek.v3i1.4771

Abstract

Applying ergonomic principles in work tool design for manufacturing industries is a crucial factor in improving productivity while maintaining worker health. This research aims to analyze the effectiveness of adaptive work tool design models based on cognitive and physiological ergonomic principles, identify interaction patterns between workstation design and operational performance, and develop a conceptual framework for integrating ergonomic principles into production cycles. The research method adopts a cognitive-physiological approach with qualitative analysis of human-machine interactions, biomechanical simulations using digital human modeling, and muscle load measurements through electromyography. Implementation was conducted using a participatory ergonomics approach and IMU sensor-based real-time monitoring systems. Results show that using materials with controlled deformation capabilities (15-20%) in work tools reduces muscle work by up to 27%, while adaptive automation system integration improves assembly accuracy by 18%. Workstations with ergonomic adjustments increase assembly speed by an average of 12%, and low-cost ergonomic interventions effectively improve productivity by 11-15% in resource-limited environments. Longitudinal analysis reveals that evidence-based ergonomic investments yield a 230% ROI through increased productivity, reduced injury compensation costs, and decreased employee turnover. IMU-based posture monitoring systems integrated with adaptive feedback loops reduced musculoskeletal disorder incidents by up to 41%. In conclusion, ergonomic optimization based on cognitive-physiological principles creates synergy between production efficiency and worker well-being, making it an essential component in achieving sustainable productivity.
Peran Quality Engineering dalam Optimasi Proses Produksi : (Studi Literatur pada Industri Manufaktur Kontemporer) Siti Nur Hamidah; Moh. Ayip Fathani; Zulfadlillah Zulfadlillah; Kardita Kardita
JURNAL RISET RUMPUN ILMU TEKNIK Vol. 3 No. 1 (2024): April : Jurnal Riset Rumpun Ilmu Teknik
Publisher : Pusat riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurritek.v3i1.4775

Abstract

This systematic literature review examines the evolving role of Quality Engineering (QE) in optimizing production processes within Industry 4.0 contexts. By analyzing 78 peer-reviewed studies (2010–2025), the research identifies critical shifts in QE methodologies, emphasizing integration with artificial intelligence (AI), machine learning (ML), and real-time digital twin technologies. Key findings reveal enhanced robustness through adaptive optimization algorithms (e.g., Bayesian optimization, NSGA-II), improved defect prediction via AI-driven quality control systems, and streamlined process interoperability through Manufacturing Execution Systems (MES) and Quality 4.0 frameworks. The study underscores digital integration as a catalyst for reducing variability, accelerating decision-making, and aligning quality management with Industry 4.0’s demands for agility and interconnected systems. Recommendations include adopting hybrid methodologies combining classical Six Sigma with ML-driven analytics and investing in workforce training for digital QMS adoption.
Penerapan Sistem Manufaktur Terintegrasi dalam Meningkatkan Produktivitas UKM melalui Pendekatan Rekayasa Industri Zulfadlillah Zulfadlillah
Jurnal Pengabdian kepada Masyarakat Indonesia (JPKMI) Vol. 4 No. 2 (2024): Agustus: Jurnal Pengabdian Kepada Masyarakat Indonesia (JPKMI)
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jpkmi.v4i2.5902

Abstract

SMEs play a strategic role in the national economy but face significant challenges in improving productivity and competitiveness in an increasingly dynamic market environment. This research analyzes the implementation of integrated manufacturing systems in SMEs through an industrial engineering approach. Using a qualitative methodology, data was collected through a hybrid webinar platform involving 45 participants from SME sectors, academia, industry, and local government. The research identifies critical success factors for implementation, including management commitment, financial resources, and continuous human resource training, which collectively contribute 68% to successful technology adoption. The PDCA-based technical assistance model developed shows a 30% increase in operator productivity through lean manufacturing implementation and production layout optimization. Economic impacts include an average 40% increase in SME turnover within six months post-implementation, while social benefits include a 12% reduction in local unemployment. The study confirms that integrated manufacturing systems effectively improve SME productivity by 15-25%, though challenges remain in digital infrastructure limitations and resistance to traditional work system changes, requiring multi-stakeholder collaboration to develop a comprehensive supporting ecosystem.