Ditemukan 4 dokumen yang sesuai dengan query :: Simpan CSV
Gunawan; Pembimbing: Robiana Modjo; Penguji: Ridwan Z. Sjaaf, Doni Hikmat Ramdhan, Roslinormansyah
T-3461
Depok : FKM UI, 2011
S2 - Tesis Pusat Informasi Kesehatan Masyarakat
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Shabira Salma Zain; Pembimbing: Mufti Wirawan; Penguji: Zulkifli Djunaidi, Asep Zaenal Muttaqien
Abstrak:
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Kebakaran merupakan salah satu jenis kecelakaan kerja yang umum terjadi di sektor manufaktur, termasuk industri semen. PT X merupakan salah satu pabrik semen yang melaporkan 21 kasus kebakaran dari tahun 2020 hingga 2024, yang mengindikasikan tren kebakaran berulang setiap tahunnya. Penelitian ini bertujuan untuk menganalisis tren kebakaran di PT X dari perspektif faktor manusia (human factors), melalui pendekatan Human Factors Analysis and Classification System (HFACS). Dengan penggunaan metode kualitatif berbasis desain deskriptif analitik, penelitian ini mengandalkan data sekunder dari laporan investigasi insiden perusahaan dan wawancara dengan pihak terkait. Analisis data dilakukan untuk menjelaskan karakteristik dan faktor penyebab yang mendasari tren kebakaran berdasarkan kerangka HFACS. Hasil penelitian menemukan bahwa kondisi laten lebih mempengaruhi tren kebakaran secara signifikan dibandingkan kegagalan aktif. Faktor penyebab utama yang teridentifikasi dari kondisi laten meliputi resource management, inadequate supervision dan crew resource management, sedangkan decision errors merupakan faktor penyebab dominan yang teridentifikasi dari kegagalan aktif.
Fire incidents are a prevalent type of work-related accident in the manufacturing sector, including the cement industry. PT X is one of the cement factories that reported 21 fire cases from 2020 to 2024, indicating a concerning trend of recurring incidents yearly. This study aims to analyze the fire trend at PT X through the lens of human factors, utilizing the Human Factors Analysis and Classification System (HFACS) approach. Employing a qualitative method with a descriptive-analytical design, the research relies on secondary data from the company's incident investigation reports and interviews with relevant stakeholders. This study performed data analysis to elucidate the characteristics and causal factors underlying the trend in fire incidents, utilizing the Human Factors Analysis and Classification System (HFACS) framework. The findings reveal that latent conditions significantly impact the fire trend more than active failures. Key causal factors identified in latent conditions include resource management, inadequate supervision, and crew resource management, while decision errors are the dominant causal factors identified in active failures.
Fire incidents are a prevalent type of work-related accident in the manufacturing sector, including the cement industry. PT X is one of the cement factories that reported 21 fire cases from 2020 to 2024, indicating a concerning trend of recurring incidents yearly. This study aims to analyze the fire trend at PT X through the lens of human factors, utilizing the Human Factors Analysis and Classification System (HFACS) approach. Employing a qualitative method with a descriptive-analytical design, the research relies on secondary data from the company's incident investigation reports and interviews with relevant stakeholders. This study performed data analysis to elucidate the characteristics and causal factors underlying the trend in fire incidents, utilizing the Human Factors Analysis and Classification System (HFACS) framework. The findings reveal that latent conditions significantly impact the fire trend more than active failures. Key causal factors identified in latent conditions include resource management, inadequate supervision, and crew resource management, while decision errors are the dominant causal factors identified in active failures.
S-12128
Depok : FKM UI, 2025
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
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Jane Onyinyechukwu Obodo; Pembimbing: Mufti Wirawan; Penguji: Zulkifli Djunaidi, Widura Imam Mustopo
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Pengendalian jarak jauh (teleremote operation), yang merupakan engineering control untuk mengurangi tingkat kecelakaan operator Autonomous LHD di PT F, seringkali mengalami productivity loss. Hal tersebut terjadi karena tingginya tingkat kecelakaan yang mengakibatkan kerusakan alat, sehingga total downtime hours pada alat tersebut lebih tinggi dibandingkan dengan operational hours-nya. Penelitian ini memberikan gambaran analisis kecelakaan Autonomous LHD tambang bawah tanah G dari sudut pandang faktor manusia, yaitu dari sisi kegagalan aktif (active failures) dan kegagalan laten (latent failures), untuk mengetahui tindakan tidak aman serta faktor-faktor yang mendasari tingginya tingkat kecelakaan alat. Metode yang digunakan dalam penelitian ini dibuat berdasarkan Human Factor Analysis and Classification System in Mining Industry (HFACS-MI) dengan teknik observasi dan wawancara untuk mengumpulkan data. Hasil penelitian menunjukkan bahwa kegagalan laten (latent failures) lebih banyak ditemukan dibandingkan dengan kegagalan aktif (active failures). Kesalahan berbasis keterampilan (skill- based errors) adalah faktor yang paling sering ditemukan pada kegagalan aktif (active failures), sedangkan faktor lingkungan, kepemimpinan, iklim organisasi, dan faktor luar menjadi faktor yang paling sering ditemukan pada kegagalan laten (latent failures).
Teleremote operation, an engineering control to reduce the accident rate of Autonomous LHD operators at PT F, often experiences productivity loss. The situation occurs due to the high accident rate that results in equipment damage, causing the total downtime hours on the equipment is higher than the operational hours. This research provides an overview of the accident analysis of the G underground mine Autonomous LHD from the human factor perspective i.e., in terms of active failures and latent failures, to determine the unsafe acts and the underlying factors of the equipment's high accident rate. The method used in this research is based on the Human Factor Analysis and Classification System in Mining Industry (HFACS-MI) with observation and interview techniques to collect data. The results show that latent failures are more frequent than active failures. Skill-based errors are the most frequently found factor in active failures, while environmental factors, inadequate leadership, organizational climate, and other factors are the most prevalent factors in latent failures.
S-11355
Depok : FKM-UI, 2023
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
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Az Zahra Amalia Putri; Pembimbing: Indri Hapsari Susilowati; Penguji: Mufti Wirawan, Herna Rosalin
Abstrak:
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Penelitian ini menganalisis faktor kegagalan yang terjadi terhadap insiden di jalur hauling PT.X, dimana insiden di jalur hauling merupakan insiden berulang dengan persentase tertinggi selama dua tahun terakhir. Fokus penelitian merupakan analisis dari faktor individu ke organisasi, yaitu kondisi laten dan kegagalan aktif. Metode yang digunakan dalam penelitian ini dibuat berdasarkan Human Factor Analysis Classification System in Mining Industry (HFACS-MI) dengan teknik telaah dokumen dan wawacara sebagai pengumpulan data. Hasil penelitian mengungkapkan bahwa kondisi laten lebih banyak ditemukan, khususnya organizational influence dan unsafe leadership yang berinteraksi dengan kegagalan aktif, dimana skill based error paling banyak ditemukan dalam penelitian. Interaksi dari kedua faktor kegagalan tersebut meningkatkan risiko terjadinya insiden di jalur hauling.
This study analyzes the factors contributing to incidents on the hauling route of PT.X, where incidents on the hauling route have been recurring with the highest percentage over the past two years. The research focuses on analyzing factors from individual to organizational levels, specifically latent conditions and active failures. The methodology employed in this study is based on the Human Factor Analysis Classification System in Mining Industry (HFACS-MI), utilizing document review and interviews as data collection techniques. The research findings reveal a predominance of latent conditions, particularly organizational influences and unsafe leadership, interacting with active failures, where skill-based errors are most frequently identified. The interaction of these two failure factors increases the risk of incidents on the hauling route.
S-11541
Depok : FKM-UI, 2024
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
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