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Journal : Journal of Engineering Science and Technology Management

Optimization of Product Distribution Cost Furniture UD.SJ using Stepping Stone Method Fadli Arsi; Dedri Syafei; Silviyani Silviyani
Journal of Engineering Science and Technology Management (JES-TM) Vol. 2 No. 1 (2022): Maret 2022
Publisher : Journal of Engineering Science and Technology Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jestm.v2i1.27

Abstract

UD. SJ is one of the SMEs in Pelalawan with the main product in the form of furniture. Problems that are often faced by UD. SJ is the distribution and distribution of costs for product sales that are not optimal, lack of calculations, lack of recording and bookkeeping, thus making UD. SJ sometimes takes a loss. So the formulation in this study is how to optimize the distribution costs of UD products. SJ, the distribution process is influenced by the distance traveled, the cost of the trip, and the number of vehicles and drivers. The purpose of the study was to determine the optimal cost comparison of product distribution in UD. SJ. The method used is the stepping stone transport method). The results showed that the calculation of the distribution costs of furniture products from UD. The optimal SJ using the stepping stone method manually is Rp. 31,233,751.
Risk Analysis of Musculoskeletal Disorders (MSDS) Among Fresh Fruit Bunch (FFB) Loaders at PT. XYZ Arsi, Fadli; Nasirly, Riri; Rahmat, Nuraini; Fachri Nasution; Hutasoit, Lidya Septriana
Journal of Engineering Science and Technology Management (JES-TM) Vol. 5 No. 1 (2025): Maret 2025
Publisher : Journal of Engineering Science and Technology Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jestm.v5i1.226

Abstract

This study aims to identify the risk of musculoskeletal disorders (MsDs) among fresh fruit bunch (FFB) loading workers at Afdeling 6 of PT. XYZ, Pelalawan. A quantitative approach was used with the Nordic Body Map (NBM) and Rapid Entire Body Assessment (REBA) as research instruments. The NBM results indicated that the most frequently reported discomfort was in the back, upper arms, wrists, and legs. Meanwhile, the REBA assessment showed that all workers fell into the high-risk category with scores ranging from 8 to 9, indicating the need for immediate changes in work methods. These findings suggest that manual FFB loading activities pose a significant risk of work-related injuries. Therefore, improvements in working posture, the use of ergonomic tools, and better work schedule arrangements are necessary to reduce the risk of muscle injuries among workers..
Failure Analysis of Sludge Centrifuge Separator Machine Using Root Cause Analysis (RCA) at PT. X Nuraini Rahmad; Arsi, Fadli; Oktaviya, Trisna Dwi
Journal of Engineering Science and Technology Management (JES-TM) Vol. 5 No. 1 (2025): Maret 2025
Publisher : Journal of Engineering Science and Technology Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jestm.v5i1.232

Abstract

The palm oil processing industry is expanding rapidly, as seen from the increasing land conversion for oil palm plantations. One critical machine in the production process is the sludge centrifuge separator, which functions to separate oil from sludge. At PT. X, a breakdown in this machine disrupted production and reduced the effectiveness of oil separation. This study aims to identify the causes of damage or failure in the sludge centrifuge separator machine. The research employs Root Cause Analysis (RCA) with a fishbone diagram as the analytical tool and proposes improvements using the 5W+1H approach.The results show that damage is caused by several factors. Human factors include operator negligence, lack of discipline, and inadequate supervision. Machine-related issues involve poor maintenance, leaks, insufficient inspections, bearing wear, and excessive friction. Material factors include the entry of metal pieces and small stones into the machine. Method-related problems stem from non-compliance with SOPs and insufficient training. Environmental factors include damp conditions, poor air circulation, oil spills, noise, and an unclean production floor.This research highlights the importance of regular maintenance, improved training, strict SOP implementation, and better workplace management to minimize machine failure and ensure optimal.