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"Industri pertambangan dipandang sebagai kategori industry dengan risiko tinggi. Jenis kecelakaan tambang lost time injury dan fatality merupakan kecelakaan dengan dampak major terhadap Grup Perusahaan X. Meskipun telah memiliki pedoman teknis pelaporan dan investigasi insiden serta dilakukan tindakan perbaikan, kecelakaan masih terus terjadi. Maka dari itu, penelitian ini bertujuan untuk mengidentifikasi tren penyebab kecelakaan tambang dan kelemahan sistem pertahanan berdasarkan konsep Human Factors Analysis Classification System in Mining Industry (HFACS-MI) di Grup Perusahaan X tahun 2021-2022. Penelitian ini merupakan penelitian deskriptif analitik dengan pendekatan semi kuantitatif. Hasil penelitian menunjukkan bahwa kelemahan sistem pertahanan active faiure yang sering ditemukan adalah tingkat unsafe acts kategori skill-based error. Sedangkan kelemahan sistem pertahanan latent failure yang sering ditemukan adalah tingkat unsafe leadership kategori inadequate leadership. Peneliti menyimpulkan bahwa masih banyak kelemahan pada sistem pertahanan active dan latent failure sehingga pencegahan kecelakaan masih belum optimal. Oleh karena itu, perlu dilakukan perbaikan di setiap tingkat sistem pertahanan, baik yang ditargetkan kepada individu maupun organisasi, agar kecelakaan dapat dicegah dan risiko kecelakaan dapat dikendalikan.

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The mining industry has been viewed as a high-risk industry. Types of mining accidents, such as lost time injuries and fatalities, have a significant impact at both the individual and organizational levels. Despite Group Company X having technical guidelines for incident reporting and conducting investigations with corrective actions, accidents continue to occur. Therefore, this study aims to identify trends in the causal factors of mining accidents and find weaknesses in defense systems based on the Human Factors Analysis Classification System in the Mining Industry (HFACS-MI) method. This research method uses an analytical descriptive approach with a semi-quantitative method. The results show that the most common weakness in the active failure defense system is the occurrence of unsafe acts in the skill-based error category. Additionally, the most common weakness in the latent failure defense system is inadequate leadership in the leadership category. The study concludes that there are still numerous weaknesses in the active and latent failure defense systems, which hinder optimal accident prevention. Improvements need to be made at all levels of the defense system, targeting both individuals and organizations, to prevent accidents and effectively control the risk of accidents."

"Kegiatan hulu migas memiliki risiko tinggi terkait K3 dan kegiatan pemboran menjadi risiko paling tinggi. 80% penyebab kecelakaan pemboran disebabkan oleh human performance. Tahun 2020, aktivitas pemboran di PT. X menyumbang kecelakaan sebesar 3 dari 8 kecelakaan dan penyebab umum kecelakaan yang terjadi karena faktor manusia. Unsafe acts dianggap menjadi penyebab utama dalam kecelakaan pemboran di industri migas. Maka, penelitian ini membahas mengenai analisis kasus kecelakaan pemboran pada industri migas di PT.X dari sudut pandang faktor manusia. Tujuan dari penelitian ini yaitu menganalisis faktor kontribusi dari kegagalan aktif dan laten dan menganalisis kasus kecelakaan kerja dari sudut pandang faktor manusia pada aktivitas pemboran yang terjadi di PT. X tahun 2022, serta menentukan rekomendasi untuk perbaikan kedepannya dari kegiatan pengeboran di PT. X. Metode penelitian ini menggunakan deskriptif analitik dari data sekunder dan hasil wawancara. Didapatkan hasil bahwa kondisi laten yang berkontribusi terhadap kecelakaan pemboran yang terjadi di PT. X pada tahun 2022 yaitu gagal mengupdate regulasi terbaru, pengendalian yang dilakukan masih bersifat administratif, kegagalan otoritas penerbit dalam mengecek kelengkapan berkas, tidak adanya pemeriksaan berkala yang terjadwal pada peralatan, gagal memastikan serah terima sumur dilakukan secara keseluruhan, penyusunan JSA kurang baik, gagal menyampaikan bahaya dan risiko secara detail, kegagalan koordinasi di internal kontraktor, gagal mengomunikasikan bahaya dan risiko yang sudah ada di risk assessment, dan kondisi jalan yang seharusnya sempit sehingga memilih permukaan yang miring. Sedangkan kegagalan aktif yang berkontribusi yaitu gagal menginterpretasikan peralatan yang rusak dan kondisi jalan yang berbahaya, tidak melalukan pengecekan kondisi sumur ketika hujan deras, dan pelanggaran SOP. Sehingga ditemukan bahwa kondisi laten lebih banyak berkontribusi sehingga menimbulkan kegagalan aktif atau unsafe acts. Kegagalan yang paling berkontribusi pada tiap layer HGACS-OGI yaitu organizational influences (organizational process), unsafe supervision (supervision violations), preconditions for unsafe acts (environmental factors - physical environment), dan unsafe acts (errors - perceptual errors). Sintesa dari hasil analisis didapat bahwa safety value belum tertanam di PT. X. Hal ini dapat dilihat dari pelaksanaan K3 belum dilakukan secara menyeluruh di lapangan, sehingga safety belum terintegrasi di dalam kegiatan operasi. Sehingga rekomendasi yang diberikan penulis yaitu menjadikan K3 sebagai safety of work.

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Upstream oil and gas activities have a high risk related to K3 and drilling activities are the highest risk. 80% of the causes of drilling accidents are caused by human performance. In 2020, drilling activities at PT. X accounts for 3 out of 8 accidents and common cause of accidents that occur due to human factors. Unsafe acts are the main cause of drilling accidents in the oil and gas industry. So, this study discusses the analysis of drilling accident cases in the oil and gas industry at PT.X from the point of view of human factors. The purpose of this study is to analyze the contributing factors of active and latent failure and analyze cases of work accidents from the point of view of human factors in drilling activities that occur at PT.X year 2022 and determine recommendations for future improvements from drilling activities at PT. X. This research method uses descriptive-analytical from secondary data and interview results. It was found that the latent condition contributed to the drilling accident that occurred at PT. X in 2022, namely the failure to update the latest regulations, the control carried out is still administrative in nature, the failure of the issuing authority to check the completeness of the files, the absence of scheduled periodic checks on the equipment, failing to ensure that the handover of the wells is carried out in its entirety, the preparation of the JSA is not good, failing to submit hazards and risks in detail, failure of internal coordination of contractors, failure to communicate the hazards and risks already in the risk assessment, and road conditions that should be narrow so that they choose a sloping surface. Meanwhile, active failures that contributed were failing to interpret damaged equipment and dangerous road conditions, not checking the condition of wells when it rained heavily, and violating SOPs. So, it was found that latent conditions contributed more to causing active failure or unsafe acts. The failures that contributed the most to each layer of HGACS-OGI were organizational influences (organizational process), unsafe supervision (supervision violations), preconditions for unsafe acts (environmental factors - physical environment), and unsafe acts (errors - perceptual errors). The synthesis of the analysis results obtained that the safety value has not been embedded in PT. X. This can be seen from the implementation of OHS that has not been carried out thoroughly in the field so safety has not been integrated into operational activities. The recommendation given by the author is to make OHS a safety of work."

"Kegiatan pertambangan merupakan industri yang padat modal dan padat risiko keselamatan dan kesehatan kerja (K3), yang meliputi tahapan kegiatan penyelidikan umum, eksplorasi, studi kelayakan, konstruksi, penambangan, pengolahan dan/atau pemurnian, pengangkutan dan pencucian serta pascatambang, yang pada umumnya dilaksanakan di area yang terpencil (remote area), oleh karena itu kegiatan pertambangan sangat rentan terhadap risiko K3 terutama kecelakaan tambang. Tujuan penelitian ini melakukan kajian analisis gap Human Factors dengan metode HFACS dan Interaksi antar faktor yang berkontribusi terhadap kejadian Kecelakaan Tambang Berakibat Fatal pada tahun 2022. Metode Human Factors Analysis and Classification System (HFACS) dikembangkan oleh Wiegmann dan Shapell pada tahun 2003 yang didasarkan pada model swiss cheese, pada penelitian ini akan secara lebih mendalam mengungkap bahwa faktor kontribusi manusia yang tidak muncul secara tiba-tiba atau akibat pelanggaran individual pekerja namun ada kontribusi dari kegagalan pengelolaan organisasi. Penelitian ini menggunakan metode kualitatif dengan desain case study terhadap laporan Berita Acara hasil investigasi Kecelakaan Tambang berakibat 8 perusahaan pertambangan mineral dan batubara pada tahun selama periode bulan Januari sampai dengan Desember 2022. Hasil dari penelitian ini terdapat 43 penyebab dari sisi human factors, dengan distribusi terdiri atas skill-based error sebesar 2%, decision error sebesar 14%, perceptual error 2%, exceptional violation 0%, lingkungan fisik 5%, lingkungan teknis 9%, kondisi operator 7%, keterbatasan fisik/mental 0%, kegagalan pengelolaan pekerja 7%, kesiapan personil 2%, supervisi yang tidak memadai 16%, operasi yang tidak sesuai rencana 5%, gagal memperbaiki masalah 0%, pelanggaran kepemimpinan 2% dan proses organisasi sebesar 9%.

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Mining activities are a capital-intensive and occupational safety and health (K3) risk-intensive industry, which includes the stages of general investigation, exploration, feasibility studies, construction, mining, processing and/or refining, transportation and washing and post-mining activities, which are generally carried out in remote areas, therefore mining activities are very vulnerable to K3 risks, especially mining accidents. The aim of this research is to study the Human Factors gap analysis using the HFACS method and the interactions between factors that contribute to fatal mining accidents in 2022. The Human Factors Analysis and Classification System (HFACS) method was developed by Wiegmann and Shapell in 2003 which is based on the model swiss cheese, this research will reveal in more depth that the human contribution factor does not appear suddenly or as a result of individual workers' violations but there is a contribution from failure in organizational management. This research uses a qualitative method with a case study design on the Minutes of Mining Accident Investigation Reports affecting 8 mineral and coal mining companies in the period January to December 2022. The results of this research are 43 causes from the human factors side, with a distribution consisting of on skill-based error of 2%, decision error of 14%, perceptual error of 2%, exceptional violation 0%, physical environment 5%, technical environment 9%, operator condition 7%, physical/mental limitations 0%, worker management failure 7%, personnel readiness 2%, inadequate supervision 16%, operations not according to plan 5%, failure to fix problems 0%, leadership violations 2% and organizational processes 9%."

"Human Factors Analysis and Classification System in Mining Industry (HFACS-MI) merupakan suatu metode investigasi kecelakaan untuk mencari faktor-faktor penyebab kecelakaan pada industri pertambangan. Metode HFACS sendiri telah banyak digunakan untuk investigasi kecelakaan diberbagai industri seperti penerbangan, konstruksi, kereta api, dan industri lainnya. Metode ini terdiri dari 5 (lima) tingkatan yaitu unsafe act, precondition for unsafe act, unsafe leadership, organizational influences, dan outside factor. PT. XYZ merupakan salah satu perusahaan pertambangan di wilayah Kalimantan Timur. Kecelakaan yang sudah terjadi tentunya membuat perusahaan mengalami kerugian, perlunya dilakukan kajian proses analisis secara detail untuk mengetahui faktor penyebab kecelakaan bersifat aktif dan laten serta mengetahui keterkaitan penyebab kecelakaan dari berbagai tingkat dengan menggunakan metode HFACS-MI.

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Human Factors Analysis and Classification System in Mining Industry (HFACS-MI) is an accident investigation method to find the factors that cause accidents in the mining industry. The HFACS method itself has been widely used for accident investigations in various industries such as aviation, construction, railroads, and other industries. This method consists of 5 (five) levels, namely unsafe act, precondition for unsafe act, unsafe leadership, organizational influences, and outside factors. PT. XYZ is a mining company in the East Kalimantan region. Accidents that have occurred certainly make the company suffer losses, it is necessary to study the analytical process in detail to find out the active and latent causal factors and find out the interrelationships of the causes of accidents from various levels using the HFACS-MI method."