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All Journal Ranah Research : Journal of Multidisciplinary Research and Development
Khatami Fahmi Putra, Muhammad
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Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Economics, Econometrics & Finance Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Transportation Other

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The Effect of Workload on Concentration Disorders With Work Stress in PT Oragon Technology Indonesia Nawawi, Yusuf; M Zainul, L.; Rusba , Komeyni; Khatami Fahmi Putra, Muhammad; Zulfikar, Iwan
Ranah Research : Journal of Multidisciplinary Research and Development Vol. 6 No. 5 (2024): Ranah Research : Journal Of Multidisciplinary Research and Development (Juli 20
Publisher : Dinasti Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/rrj.v6i5.1055

Abstract

This study examines the impact of workload on concentration disorders, with work stress as a mediating variable at PT Oragon Teknologi Indonesia. High workload is linked to increased work stress, which can impair concentration. The research uses a qualitative approach, collecting data through in-depth interviews, participatory observation, and document analysis. Results show a significant relationship between high workload and increased work stress, which directly affects employee concentration. Interviews with 20 employees reveal that time pressure, excessive tasks, and lack of support from superiors are key factors increasing workload and stress. The study suggests that PT Oragon Teknologi Indonesia should implement effective workload management strategies, such as task balancing, enhanced support from superiors, and stress management programs, to reduce concentration disorders. These findings contribute to human resource management literature and industry practices in managing employee workload and stress.
Inovasi K3: Integrasi AI dan IoT untuk Meningkatkan Keselamatan Kerja Khatami Fahmi Putra, Muhammad; M Zainul, L.; Rusba, Komeyni; Nawawi, Yusuf; Hardiyono, Hardiyono
Ranah Research : Journal of Multidisciplinary Research and Development Vol. 6 No. 5 (2024): Ranah Research : Journal Of Multidisciplinary Research and Development (Juli 20
Publisher : Dinasti Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/rrj.v6i5.1056

Abstract

This research explores innovations in occupational safety and health (OSH) through AI and IoT integration. The study aims to examine how combining AI and IoT can enhance safety across industries. Using a qualitative analytical descriptive method with an empirical normative approach, data were gathered from journals, documentation, and literature reviews. Results indicate that AI and IoT can identify hazards early, monitor real-time conditions, and provide early warnings. Applications include IoT sensors for detecting hazardous gases and AI for predicting accidents based on historical data. These systems improve incident response and reduce corrective action time, boosting productivity and efficiency. The study recommends broader adoption of AI and IoT in OSH strategies to enhance safety and health in various sectors
Co-Authors Iwan Zulfikar Komeyni Rusba M Zainul, L. Nawawi, Yusuf