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Analysis of occupational safety and health at chemical manufacturer with HIRARC method Sahara, Adinda Suchieyati; Herwanto, Dene; Nugraha, Billy
Journal Industrial Servicess Vol 9, No 2 (2023): October 2023
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36055/jiss.v9i2.21855

Abstract

PT Timuraya Tunggal is a leading supplier and manufacturer of chemical products. Within its operations, potential hazards exist, notably in the sulfuric acid production section, necessitating the role of occupational safety and health to prevent and mitigate accidents. This research adopts a qualitative descriptive approach, utilizing both primary and secondary data sources. The collected data undergoes processing using the HIRARC method, identifying hazards primarily through direct observation in the burner process. The results and discussions of this study conclude the identification of two potential hazards in the burner process at PT Timuraya Tunggal, comprising one low-risk, two moderate-risk, and one high-risk hazard. Control recommendations proposed for the burner process include administrative controls such as avoiding the burner area unnecessarily, installing guardrails, mandating the use of respirator masks and scrubbers, and implementing the use of caustic soda for SO2 neutralization. Additionally, a suggested control for the burner process involves prominently displaying warning signs indicating 'hot surfaces, do not touch.
Analysis of workplace facilities in the Remuneration and Industrial Relations (RHI) Department using anthropometric approach Mursyid, Ahmad Dani; Fasa, Nadia; Nugraha, Billy
Journal Industrial Servicess Vol 9, No 2 (2023): October 2023
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36055/jiss.v9i2.21853

Abstract

In the industrial landscape, employee welfare plays a pivotal role in influencing company productivity and overall employee satisfaction. A crucial aspect that shapes employee welfare is the quality of the work facilities provided by the company. The incorporation of ergonomic work facilities can significantly amplify work comfort and safety, thereby mitigating the risks associated with work-related injuries or health issues. This research seeks to assess the ergonomic aspects of work facilities within a workspace by applying anthropometric principles. This methodology involves measuring various facets of the human body, encompassing shape, size, and strength, and utilizing these metrics to customize facilities to suit human requirements. Such an approach holds the potential to augment employee performance and alleviate symptoms associated with musculoskeletal disorders. The research findings highlight several dimensions of work facilities that do not align with the employees' body dimensions. Consequently, it is imperative to propose recommendations to the Remuneration and Industrial Relations Department of PT CCP, a private company in Indonesia, aimed at enhancing work facilities. These suggestions aim to realign the facilities with anthropometric dimensions meticulously designed by the author.
Development of an Android-based quality detection system for young coconut with ADDIE and ISD Wahyudin, Wahyudin; Herwanto, Dene; Nisah, Firda Ainun; Nugraha, Billy; Wahid, Taufik Nur; Fitrianto, Wahyu
Journal Industrial Servicess Vol 11, No 1 (2025): April 2025
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/jiss.v11i1.28116

Abstract

The demand for high-quality young coconuts is growing as public awareness of their health benefits continues to rise. However, manually identifying the quality of young coconuts is often inaccurate and time-consuming. This research aims to address this issue by developing an Android-based application for detecting the quality of young coconuts, utilizing the ADDIE (Analysis, Design, Development, Implementation, Evaluation) and ISD (Instructional System Design) models. The ADDIE  model serves as the framework for system development, while the ISD model helps structure the application's content and functionality. Data collection involved a comprehensive literature review of relevant references, along with testing the application on various young coconut samples. The testing process measured the accuracy of the application's quality detection compared to traditional manual methods. The results demonstrate that the developed application can detect the quality of young coconuts with high accuracy, providing a reliable tool for farmers and consumers to select high-quality produce. Beyond improving accuracy, this application is expected to enhance efficiency in quality assessment, add value to the agricultural industry, and reduce reliance on subjective manual evaluations. By streamlining the process of identifying quality young coconuts, the application has the potential to optimize their distribution and sales in the market, benefiting both producers and consumers.