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Proposed Improvements in Shrimp Business Productivity Irwan Efendi; Meri Andriani; Heri Irawan
JURUTERA - Jurnal Umum Teknik Terapan Vol 11 No 01 (2024)
Publisher : Fakultas Teknik Universitas Samudra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55377/jurutera.v11i01.9319

Abstract

Makmur Jaya is a vaname shrimp farming business, located in Kebun Kelapa Village, Secanggang District, Stabat. The problem faced by SMEs. Makmur Jaya is that poor input utilization causes productivity to decline. The research objective is to identify productivity and productivity improvement strategies at SMEs. Makmur Jaya. The method used in this research is the American Productivity Center (APC) method. The results of the study, the largest increase in the productivity index in period 4 by 1% while the largest decrease in the productivity index in period 2 by -46.74%, the highest increase in the profitability index in period 3 by 1% while the highest decrease in profitability index in period 2 by -55.06%, and the largest price improvement index occurred in capital period 2 by 1.62, while the smallest price improvement index occurred in material period 2 by 0.79. The study concludes that the decline in productivity occurred in period 2 by 46.74%, so it is necessary to increase productivity. Strategy to increase productivity in SMEs. Makmur Jaya is minimizing the use of inputs to produce large outputs. Based on the results of the calculation, the input can be reduced by 36.49% (RP. 107,969,896) and the output can be increased by 56.53% (RP. 107,296,767) so that the total productivity increases by 0.94% from the initial total productivity.
Ergonomic redesign of transportation fleet driver seats using anthropometric approaches to minimize musculoskeletal disorders Meri Andriani; Hamdani Hamdani; Nanda Saleysia Aziza
Jurnal Polimesin Vol 23, No 2 (2025): April
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v23i2.4199

Abstract

The operation of public transportation fleets demands competent drivers to ensure passenger safety and operational reliability. Maintaining an optimal driving posture is a critical factor in supporting driver performance; however, mismatches between seat design and driver anthropometry can result in musculoskeletal disorders (MSDs), reducing driver focus and increasing the risk of traffic accidents. This study aims to determine the ergonomic dimensions of driver seats based on anthropometric data. The methodology integrates anthropometric measurements, percentile analysis, statistical validation, and ergonomic modeling utilizing CATIA software. Key anthropometric dimensions considered include sitting upright height (TDT), chin-to-top-of-head distance (DPK), shoulder width (LB), popliteal-buttock length (PPO), popliteal height (TPO), thigh thickness (TP), and hip width (LP). Data uniformity and adequacy tests confirmed the reliability of the dataset, while normality tests verified that the measurements were normally distributed. Subsequent analysis applied the 50th and 95th percentile values to guide design decisions, ensuring broad user accommodation. Ergonomic modeling was conducted using CATIA software to develop an optimized driver's seat. The resulting design specifications include a seat base height of 92.63 cm, headrest height of 21.7 cm, seat width of 62 cm, seat base length of 46.90 cm, seat height from the floor of 44.00 cm, seat base thickness of 15.07 cm, and seat base width of 38.33 cm. These dimensions are intended to support optimal driver posture, reduce the incidence of MSDs, and enhance overall driving safety and comfort in public transportation fleets.