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The Integrated Excel Based K3 Recording System for Occupational Incident Monitoring Dewi Agustina; Laura Natalia Christin Sinuraya; Juliani; Istifani Nasution; Rika Iyut Tira; Elisa Apriani; Siti Khodiza Sihombing; Ahmad Fitrah Raihan
International Journal of Health Engineering and Technology Vol. 4 No. 4 (2025): IJHET NOVEMBER 2025
Publisher : CV. AFDIFAL MAJU BERKAH

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Abstract

This study aims to develop and implement an integrated Microsoft Excel based recording system to improve the accuracy and efficiency of reporting Occupational Accidents and Occupational Diseases in a lung specialized hospital. The research used an action research approach involving stages of problem identification, system design, staff training, implementation, and evaluation. The integrated Excel Planner was designed to standardize incident documentation, enhance data completeness, and accelerate reporting processes. The results showed a significant improvement in reporting speed, reducing reporting time from an average of three days to one day. Data completeness also increased from 65% to 95% after system implementation. Features such as filters, pivot tables, and graphs supported analytical activities, including identifying high risk areas and determining root causes of incidents. The findings indicate that a simple digital solution like Excel can strengthen the hospital’s occupational safety system and support more effective decision making. The success of this system was influenced by participatory planning and active staff involvement. Continuous updates and further integration with hospital information systems are recommended to maintain system sustainability.
Sistematik Literatur Review: Pengaruh Keselamatan dan Kesehatan Kerja (K3) terhadap Kinerja Karyawan di Industri Manufaktur Rika Iyut Tira; Istifani Nasution; Elisa Apriani; Abdurrozzaq Hasibuan
TSAQOFAH Vol 5 No 3 (2025): TSAQOFAH: Jurnal Penelitian Guru Indonesia
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/tsaqofah.v5i3.5791

Abstract

Occupational health and safety (OHS) is a critical aspect of the manufacturing industry, which is characterized by high work-related risks, as it plays a vital role in protecting employees from workplace accidents and occupational diseases. This study aims to systematically analyze the impact of OHS implementation on employee performance in the manufacturing sector. A quantitative approach was employed, with a literature review as the primary data collection strategy, conducted through the search and selection of relevant and verified scientific articles from databases such as Google Scholar, JSTOR, and ProQuest. The findings indicate that OHS implementation—which includes a safe work environment, the use of standard-compliant equipment, and adherence to safety procedures—has a significantly positive impact on employee performance. A safe workplace has been shown to enhance productivity, efficiency, and work motivation. The conclusion of this study affirms that implementing an OHS system is not only a legal obligation but also an essential strategy for developing a healthy, safe, and high-performing workforce in the manufacturing sector. These findings reinforce the position of OHS as the foundation of a productive, disciplined, and results-oriented work culture, ultimately contributing to industrial competitiveness.
Peran Big Data dalam Meningkatkan Efektivitas Sistem Informasi Kesehatan Rika Iyut Tira; Istifani Nasution; Elisa Apriani; Sri Hajijah Purba
Al-DYAS Vol 4 No 1 (2025): Al-DYAS: Jurnal Inovasi dan Pengabdian kepada Masyarakat
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/aldyas.v4i1.4358

Abstract

Big data has an important role to play in the transformation of health information systems, enabling large-scale management of data coming from various sources, such as electronic medical records, epidemiological data, and wearable devices. This study aims to explore the role of big data in improving the effectiveness of health information systems. This study is expected to make theoretical and practical contributions, especially for managers and policymakers in the health sector, to strategically utilize big data in improving quality health services. This study uses the library research method to explore the role of big data in improving the effectiveness of health information systems. The data collection technique was carried out by examining literature sources from academic databases such as PubMed, ScienceDirect, Indonesian journal portals, and academic reference books. The results show that Big Data utilizes information from various sources to optimize health services, including disease prediction and evidence-based policies. The main challenges include data security and infrastructure, but the impact is significant in improving the quality of healthcare services in the digital era. In conclusion, Big data is revolutionizing health information systems through large-scale data analysis, supporting early detection, strategic planning, and evidence-based decision-making. Despite facing challenges such as data privacy and infrastructure needs, proper implementation can improve the efficiency and quality of global health services.