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Rangga Arisandy
Universitas Pelita Bangsa
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Evaluasi Beban Fisiologis Pada Aktivitas Material Handling di PT XYZ Dengan Metode Simulasi Medi Humaedi; Habibi Husni Mubarok; Ferdian Setia Nugraha; Ridwan Adi Pamungkas; Rangga Arisandy; Fibi Eko Putra
JOURNAL SAINS STUDENT RESEARCH Vol. 4 No. 1 (2026): Februari: Jurnal Sains Student Research
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jssr.v4i1.7252

Abstract

This study aims to evaluate the level of physiological workload that occurs during material handling activities at PT XYZ by using a simulation-based approach supported by heart rate monitoring. Due to limited access to the active production area, the researchers developed a simulation that closely represents the actual operational conditions. Five participants performed repetitive lifting of 8–10 kg loads for ten minutes as a representation of the company’s manual handling tasks. Heart rate measurements were taken in three phases: before the activity, during the task, and during the recovery period. The results show that working heart rates ranged from 105 to 122 bpm, which falls into the heavy workload category according to Tarwaka’s physiological classification (2015). These findings indicate that manual material handling places considerable physical strain on workers and requires ergonomic interventions to prevent excessive fatigue. Recommended improvements include implementing proper lifting techniques, adjusting work–rest cycles, utilizing simple assisting tools, and ensuring a more balanced distribution of workload to reduce physiological stress.
Operational Efficiency Optimization: Reducing Production Downtime through Fishbone Diagram Analysis and Trolley Shutter Implementation in an Indonesian Automotive Company Yunus Yunus; Rangga Arisandy; Fajar Dwi Prasetiyo; Yudi Prastyo
Jurnal Sains Dan Teknologi | E-ISSN : 3063-9980 Vol. 2 No. 4 (2026): April - Juni
Publisher : GLOBAL SCIENTS PUBLISHER

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Abstract

Production downtime poses a critical challenge in automotive manufacturing, exerting a direct influence on operational efficiency, line productivity, and corporate profitability. The present study was conducted at an Indonesian automotive company whose shutter production line recorded a downtime level of 15 hours per month (15%)—markedly exceeding the industry benchmark of 5 hours per month (5%). The objective was to systematically diagnose the root causes of this downtime and to design a measurable engineering intervention. The methodology combined a Fishbone (Ishikawa) Diagram structured around the 5M+1E framework—Man, Machine, Material, Method, Measurement, and Environment—with a Pareto analysis applied to six months of historical downtime records. The analysis revealed that the inefficient manual shutter-replacement procedure was the dominant contributor, accounting for 42% of total downtime. In response, a trolley shutter system—a mobile steel cart fitted with an adjustable lifting arm—was engineered and rolled out across four phases: prototyping, operator training, piloting, and full deployment. A six-month post-implementation evaluation demonstrated a statistically significant reduction in mean monthly downtime, falling from 15.0 ± 2.3 hours to 5.0 ± 1.1 hours, a 66.7% decrease (t(5) = 9.84; p < 0.001). The per-event shutter-replacement time likewise dropped from 47 minutes to 14 minutes. These findings confirm that pairing systematic root-cause analysis with a well-targeted engineering intervention constitutes an effective and quantifiable strategy for curbing production downtime in automotive manufacturing settings.
Co-Authors Fajar Dwi Prasetiyo Ferdian Setia Nugraha Fibi Eko Putra Habibi Husni Mubarok Medi Humaedi Ridwan Adi Pamungkas Yudi Prastyo Yunus Yunus