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Safety Climate Evaluation in EPC Company Using The NOSACQ-50 Method and Safety Model Canvas: Evaluasi Iklim Keselamatan Pada Perusahaan EPC Dengan Metode NOSACQ-50 dan Kanvas Model Keselamatan Naia Putri Harendsa; Mega Cattleya Prameswari Annissaa Islami
JATI EMAS (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat) Vol. 9 No. 1 (2025): Jati Emas (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat)
Publisher : DPD Jatim Perkumpulan Dosen Indonesia Semesta

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Abstract

A good work safety culture can improve occupational safety and health in the work environment. One of the keys to creating safe and sustainable working environment is to raise awareness of the importance of work safety. PT XYZ is a company providing large-scale Engineering, Procurement and Construction (EPC) services. The problem faced is that work accidents still occur so that the company is still unable to achieve the zero-accident target. This study aims to identify the level of safety climate security using the Nordic occupational safety climate questionnaire (NOSACQ-50) and formulate recommendations for appropriate and sustainable improvements using the safety model canvas (SMC). The study results show that four of the seven dimensions of safety climate received scores between 3.00 – 3.30, which shows that improvement and improvements are still needed. Based on the safety canvas model that has been created, the priorities for improving safety climate from the first to the last are responsibility, engagement & involvement, competence, information & communication, risk, commitment, leadership, organizational learning.
Application of Fuzzy Logic in Optimizing Work Productivity with the Nordic Body Map: Penerapan Fuzzy Logic dalam Mengoptimalkan Produktivitas Kerja dengan Nordic Body Map Dimas Ramadhani Yulianto; Mega Cattleya Prameswari Annissaa Islami
JATI EMAS (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat) Vol. 9 No. 1 (2025): Jati Emas (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat)
Publisher : DPD Jatim Perkumpulan Dosen Indonesia Semesta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Work productivity and employee well-being are critical aspects of organizational management, particularly at PT XYZ. The Administrative and Operational Support Division faces ergonomic challenges due to prolonged sitting in non-ergonomic positions. This study aims to analyze ergonomic risks using the Nordic Body Map (NBM) combined with Fuzzy Logic. Traditional ergonomic methods are often manual and subjective. NBM is applied to map employees' physical complaints based on body areas, while Fuzzy Logic is utilized to classify risk levels with higher precision. Data reveal that lower back and neck complaints dominate moderate to high-risk levels, affecting overall work efficiency. The results demonstrate that implementing Fuzzy Logic improves evaluation accuracy by up to 20% compared to traditional methods. Furthermore, this approach provides data-driven recommendations for ergonomic interventions, including workstation adjustments and posture training programs. This study not only offers practical solutions for PT XYZ but also expands the application of Fuzzy Logic technology in ergonomic analysis. It highlights the significant potential for reducing ergonomic risks and serves as a reference for other organizations aiming to develop data-driven ergonomic strategies to enhance work productivity and employee well-being.