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All Journal JURNAL KESEHATAN LINGKUNGAN: Jurnal dan Aplikasi Teknik Kesehatan Lingkungan Jurnal Kesehatan Vokasional Jurnal Lentera Kesehatan Masyarakat (JLKM)
Prihaswan, Irawadi
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Computer Science & IT Education Health Professions Nursing Public Health

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Microsleep And Occupational Safety: Integration Of Biometric Detection, Wearable Technology, And Preventive Policies For The Modern Industry Ilhamsyah, Muhammad Helmy; Citra Budi, Savitri; Prihaswan, Irawadi
JURNAL KESEHATAN LINGKUNGAN: Jurnal dan Aplikasi Teknik Kesehatan Lingkungan Vol 22 No 2 (2025): Jurnal Kesehatan Lingkungan Volume 22 No. 2, Juli 2025
Publisher : Poltekkes Kemenkes Banjarmasin Jurusan Kesehatan Lingkungan Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31964/jkl.v22i2.1035

Abstract

Microsleep is one of the factors that causes a decrease in vigilance that can have a serious impact on occupational safety, especially in industrial sectors with high risk levels such as heavy equipment and vehicle operations. This condition occurs suddenly and often escapes the detection of conventional surveillance systems, thus increasing the likelihood of work accidents. These challenges are even greater in a work environment with high operational burdens and rotating work patterns that affect the quality of sleep of workers. This study was conducted to evaluate the application of biometric-based detection technology and wearable devices combined with fatigue prevention policies. The study used a systematic literature review method on 25 primary articles published in the period 2020–2024 in a number of indexed international journals. The results of the analysis showed that the integration of real-time biometric monitoring with flexible work policies can increase the accuracy of microsleep detection by up to 85% and help reduce the potential for work accidents. This integrated approach is expected to be able to encourage the transformation of the occupational safety system to be more proactive, adaptive, and data-based, so as to create a safe and sustainable work environment.
Penerapan sistem manajemen keselamatan pertambangan(SMKP) pada perusahaan tambang mineral PT XYZ (Nikel) di Sulawesi Tengah Reza, Faisal; Citra, Savitri; Prihaswan, Irawadi
Jurnal Lentera Kesehatan Masyarakat Vol. 4 No. 3 (2025): Jurnal Lentera Kesehatan Masyarakat
Publisher : PT. Lentera Kesehatan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69883/9cfytc47

Abstract

Sektor pertambangan mineral nikel di Indonesia memberikan kontribusi signifikan terhadap perekonomian, khususnya di Sulawesi Tengah, tetapi disertai risiko keselamatan dan kesehatan kerja (K3) yang tinggi. Regulasi seperti Peraturan Menteri ESDM Nomor 26 Tahun 2018 mewajibkan implementasi Sistem Manajemen Keselamatan Pertambangan (SMKP) untuk mengelola risiko secara komprehensif. Penelitian ini bertujuan menganalisis penerapan SMKP di PT XYZ melalui audit internal, mengidentifikasi hambatan, dan memberikan rekomendasi perbaikan, mengingat gap penelitian pada studi spesifik di wilayah ini. Pendekatan kualitatif deskriptif digunakan untuk eksplorasi mendalam, dengan lokasi di Kabupaten Morowali Utara. Data dikumpul melalui wawancara semi-struktural (3 manajer keselamatan, 5 pengawas, 10 operator), observasi lapangan dengan checklist, dan studi dokumen laporan audit. Pemilihan informan via purposive sampling; validasi dengan triangulasi dan member checking; analisis tematik dibantu NVivo, mengacu Keputusan Menteri ESDM Nomor 1827 Tahun 2018. Audit internal SMKP menunjukkan peningkatan kepatuhan dari 24,8% (2023) menjadi 43,3% (2024), dengan temuan mayor menurun dari 34 menjadi 22. Elemen rendah meliputi implementasi (27,4%) dan pemantauan (26,8%), sementara dokumentasi (91,7%) dan tinjauan manajemen (92,3%) mencapai nilai tinggi. Temuan utama: ketidaksesuaian prosedur, kurangnya pelatihan, dan housekeeping suboptimal. Peningkatan mencerminkan komitmen manajemen, namun capaian rendah disebabkan budaya keselamatan reaktif, keterbatasan SDM, dan prioritas ekonomi atas operasional. Dibandingkan best practice seperti PT Vale Indonesia (80% kepatuhan), rekomendasi meliputi pelatihan berkelanjutan, teknologi monitoring, dan penguatan komitmen puncak untuk mengurangi risiko kecelakaan hingga 30%–40%, mendukung operasi berkelanjutan.
Role of Artificial Intelligence in the Risk Management at Construction Field: A Bibliometric Review Septiani, Anggita Puspita; Budi, Savitri Citra; Prihaswan, Irawadi
Jurnal Kesehatan Vokasional Vol 10, No 3 (2025): August
Publisher : Sekolah Vokasi Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jkesvo.108171

Abstract

Background: The construction industry had high risks that required effective risk management to ensure safety and business sustainability. Artificial intelligence (AI) had the potential to improve analysis and decision-making in risk management. However, the trend of AI implementation in this field had not been extensively studied through bibliometric analysis.Objective: This study identified trends in scientific literature regarding the role of AI in risk management in the construction sector.Methods: This study used a quantitative bibliometric approach. Data from 76 articles in the Scopus database for the period 2014–2024 were analyzed statistically, and keyword co-occurrence was mapped using VOSviewer.Results: Publications showed a significant increase since 2015, especially after 2018. This reflected the increasing adoption of AI in risk analysis and incident prevention. Data analysis confirmed that AI proved helpful in managing risks in construction and project management.Conclusion: AI played a crucial role in improving construction risk management and was developing rapidly. This technology had great potential to reduce accidents and support sustainable practices. These findings provided insights for researchers and practitioners to optimize the utilization of AI in the construction industry.
Co-Authors Citra Budi, Savitri Citra, Savitri faisal Reza Ilhamsyah, Muhammad Helmy Savitri Citra Budi Septiani, Anggita Puspita