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Strategies for Improving Occupational Safety in the ATBM Weaving Industry Rahmawati, Nurmalinda; Heikal, Jerry
Sainteks: Jurnal Sain dan Teknik Vol 6 No 2 (2024): September
Publisher : Universitas Insan Cendekia Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37577/sainteks.v6i02.780

Abstract

Occupational safety is a crucial aspect of the manufacturing industry, especially in the weaving industry that uses shuttle machines. This study aims to identify risks and develop strategies to prevent occupational accidents in the shuttle weaving industry. The methods used include job safety analysis (JSA) and strategy formation using the IFAS and EFAS matrix to formulate the necessary solutions. The results revealed that seven types of jobs were identified as having 23 potential risks of occupational accidents. The highest risk was found in the shuttle weaving process, where the activities involved have the potential to cause physical injuries such as permanent disability due to being targeted by the weft binoculars during production. The proposed strategies include improving weaknesses by capitalising on existing strengths, implementing new technologies and safety policies to address threats, and improving compliance and incident response to reduce risks. This research is expected to contribute as a reference for the weaving industry with shuttle machines in conducting risk analysis and implementing occupational accident prevention measures.
A Novel Mathematical Model for Quality Optimization of Textile Products During Shipment Putri, Safira Hutama; Abdullah, Fadil; Rahmawati, Nurmalinda; Dayani, Camillana Calistafo; Kusumadewi, Afriani
Jurnal INTECH Teknik Industri Universitas Serang Raya Vol. 10 No. 2 (2024): Desember
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/intech.v10i2.8695

Abstract

The process of shipping products in the textile industry is essential as it determines the effectiveness of the business. However, non-ideal shipping can result in damage to the shipped products. Therefore, this study aims to develop a mathematical model to optimize the shipping process by assessing the textile product damage rate against environmental parameters such as humidity and temperature and shipping parameters such as shipping duration. The model developed using the Response Surface Methodology (RSM) statistical approach is based on linear and nonlinear models. The results showed that the linear model had a better coefficient of determination as a model validation parameter, with a coefficient of determination of 0.83. This value shows the effectiveness of optimizing the shipping process as a monitoring effort to determine the damage to textile products against several parameters that affect it. The results of this study have implications for the field of textile science, especially regarding the dynamics of distribution or logistics, as well as the application of mathematical applications in the textile field. In addition, the practical implications of this research are expected to be used as a monitoring effort for the textile industry to determine the impact of environmental parameters and shipping duration on the products they ship.