Ditemukan 35627 dokumen yang sesuai dengan query :: Simpan CSV
Mukodas; Pembimbing: Izhar M. Fihir; Penguji: Doni Hikmat Ramdhan, Adenan
Abstrak:
Skripsi ini membahas tentang analisis penyebab traffic accident yang terjadi sepanjang tahun 2012 di PT Pamapersada Nusantara Jobsite Kideco, Batu Kajang, Kalimantan Timur dengan menggunakan metode telaah data sekunder dan diklasifikasikan ke dalam Human Factor Analysis and Classification System for Mining Industry (HFACS-MI) untuk melihat faktor penyebab berkaitan dengan unsafe act, precondition of unsafe act, dan unsafe leadership. Hasil penelitian menunjukkan bahwa sebagian besar traffic accident terjadi karena unsafe act dan terdapat manifestasi juga dari precondition of unsafe act dan unsafe leadership. Faktor yang berpengaruh paling besar dalam traffic accident adalah skill-based error
Read More
S-7750
Depok : FKM UI, 2013
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
☉
Solihin Hamzah; Pembimbing: Hapsari, Indri
M-1689
[s.l.] :
[s.n.] :
s.a.]
D3 - Laporan Magang Pusat Informasi Kesehatan Masyarakat
☉
Az Zahra Amalia Putri; Pembimbing: Indri Hapsari Susilowati; Penguji: Mufti Wirawan, Herna Rosalin
Abstrak:
Read More
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
☉
Farida Tasya; Pembimbing: Ridwan Z. Sjaaf; Penguji: Doni Hikmat Ramdhan, Wien Goerindro
Abstrak:
Dalam setiap aktivitas pertambangan, terdapat potensi bahaya yang menimbulkanrisiko terjadinya kecelakaan. Jenis kecelakaan menabrak merupakan kecelakaanyang banyak terjadi pada operasi lalu lintas tambang jobsite PT SS (41%) dankejadiannya cenderung berulang. Maka dari itu, penelitian ini bertujuan untukmendapatkan gambaran tentang sistem pertahanan dalam mencegah kecelakaansesuai dengan kerangka pikir Swiss Cheese Model. Penelitian ini dilakukandengan pendekatan kualitatif melalui analisis data kecelakan lalu lintas tambangdi salah satu jobsite di PT SS, suatu perusahaan kontraktor pertambangan batubaraterbuka, dengan menggunakan Human Factors Analysis and Classification Systemin Mining Industry (HFACS-MI). Berdasarkan analisis yang dilakukan terhadap53 kasus kecelakaan lalu lintas tambang, permasalahan yang banyak ditemukan diantaranya adalah skill-based error, adverse mental states, coordination andcommunication, inadequate leadership, dan organization process. Dapat disimpulkan bahwa sistem pertahanan yang ada untuk mencegah kecelakaan lalulintas tambang masih belum optimal. Oleh karena itu, perlu dilakukan perbaikan sistem pertahanan, baik yang ditargetkan kepada individu ataupun organisasi, agarrisiko kecelakaan dapat dikendalikan.
Kata Kunci :Kecelakaan lalu lintas tambang, tabrakan, sistem pertahanan, Swiss CheeseModel, HFACS-MI
In mining process activities, there are potential hazards that poses a risk to be anaccident. Collision is one of accident types that frequently happen on miningtraffic operations jobsite PT SS (41%) and it has tendency to occur repeatedly.This study aimed to gain an overview of defences system in preventing accidentsaccording to Swiss Cheese Model framework. The research was conducted with aqualitative approach through mining traffic accident data analysis in one ofjobsite in PT SS, an open coal mining contractor company, using the HumanFactors Analysis and Classification System in Mining Industry (HFACS-MI).Based on the analysis of 53 cases of mining traffic accidents, revealed that themost common problems were skill-based errors, adverse mental states,coordination and communication, inadequate leadership, and organizationprocess. It can be concluded that the existing defences system to prevent miningtraffic accidents has not been optimal yet. Therefore, defences systemimprovement, either targeted to the individual or organizational, is needed tocontrol accident risk.
Key words:Mine traffic accident, collision, defences system, Swiss Cheese Model, HFACSMI
Read More
Kata Kunci :Kecelakaan lalu lintas tambang, tabrakan, sistem pertahanan, Swiss CheeseModel, HFACS-MI
In mining process activities, there are potential hazards that poses a risk to be anaccident. Collision is one of accident types that frequently happen on miningtraffic operations jobsite PT SS (41%) and it has tendency to occur repeatedly.This study aimed to gain an overview of defences system in preventing accidentsaccording to Swiss Cheese Model framework. The research was conducted with aqualitative approach through mining traffic accident data analysis in one ofjobsite in PT SS, an open coal mining contractor company, using the HumanFactors Analysis and Classification System in Mining Industry (HFACS-MI).Based on the analysis of 53 cases of mining traffic accidents, revealed that themost common problems were skill-based errors, adverse mental states,coordination and communication, inadequate leadership, and organizationprocess. It can be concluded that the existing defences system to prevent miningtraffic accidents has not been optimal yet. Therefore, defences systemimprovement, either targeted to the individual or organizational, is needed tocontrol accident risk.
Key words:Mine traffic accident, collision, defences system, Swiss Cheese Model, HFACSMI
S-7765
Depok : FKM UI, 2013
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
☉
Rakha Putra Atarita; Pembimbing: Hapsari, Indri; Airesti
M-2417
[s.l.] :
[s.n.] :
s.a.]
D3 - Laporan Magang Pusat Informasi Kesehatan Masyarakat
☉
Mas Achmad Faisal; Pembimbing: Hapsari, Indri
M-2136
[s.l.] :
[s.n.] :
s.a.]
D3 - Laporan Magang Pusat Informasi Kesehatan Masyarakat
☉
Rika Nurhayati; Pembimbing: Sjahrul M. Nasri; Penguji: Ridwan Z. Sjaaf, Neneng Churaeroh
S-6503
Depok : FKM UI, 2011
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
☉
Nurcahyo Kurniawan Prihatsono; Pembimbing: Dadan Erwandi; Penguji: Abdul Kadir, Doni Hikmat Ramdhan, Alwahono dan Ridha Renaldi
Abstrak:
Read More
Industri pertambangan dikenal sebagai lingkungan kerja dan aktivitas operasional dengan risiko tinggi, bahkan dikategorikan sebagai salah satu aktivitas paling berbahaya pada industri modern. Industri ini berada di antara peringkat tertinggi yang mengalami cedera dan hari kerja hilang, terdapat banyak jenis cedera yang terjadi dan cedera adalah salah satunya. Jari dilaporkan menjadi salah satu bagian tubuh yang paling sering mengalami cedera. Penelitian ini dilakukan pada salah satu perusahaan tambang di Indonesia, PT X, dalam jangka waktu lina tahun (2018-2022) menggunakan data hasil investigasi kecelakaan. Dalam periode ini data statistik menunjukkan adanya tren peningkatan dan berdasarkan hasil investigasi kecelakaan menggunakan metode RCA ditemukan bahwa 74% kasus akibat dari perilaku atau kegagalan manusia. Analisis lebih mendalam dilakukan menggunakan kerangka kerja HFACS-MI untuk mengetahui faktor penyebab terjadinya kegagalan dalam berbagai lapisan pertahanan di dalam perusahaan. Faktor penyebab terbesar dibandingkan dengan jumlah kasus adalah kategori Organizational Influences (196,17%) dikuti oleh Unsafe Acts (156,28%), Precondition for Unsafe Acts (117,49%), dan Unsafe Leadership (97,27%).
Mining industries are known as high-risk working environments and operational activities, they are categorized as one of the most dangerous activities in modern industry today. It ranks among the highest producers of injuries and lost working days, there are many types of injuries that contribute to this, finger injury is one of them. Fingers are reported to be one of the most injured body parts. This research carried out in a mining company in Indonesia, PT X, within a period of five years (2018-2022) based on their accident investigation data. Within this period statistical data shows an increasing trend and referring to accident investigation conducted using RCA method it was found that 74% due to behavior or human error. Further analysis conducted using HFACS-MI framework to find out causal factors contributing to failure in various defence layer within organization. The biggest contributing factors, compared to number of cases, are Organizational Influences category (196.17%) followed by Unsafe Acts (156.28%), Precondition for Unsafe Acts (117.49%), and Unsafe Leadership (97.27%).
T-7090
Depok : FKM UI, 2024
S2 - Tesis Pusat Informasi Kesehatan Masyarakat
☉
Adisty Safira Salma Damayanti; Pembimbing : Dadan Erwandi; Penguji: Laksita Ri Hastiti, Zuly Prima Rizky
Abstrak:
Read More
Penelitian ini mengkaji kecelakaan kerja di industri pertambangan yang tergolong dalam kategori cedera, menggunakan metode Human Factors Analysis and Classification System in Mining Industry (HFACS-MI). Industri pertambangan dikenal sebagai sektor dengan risiko tinggi, di mana insiden besar seperti cedera kerja serius dan kematian sering kali terjadi meskipun telah dilakukan investigasi dan tindakan pencegahan.Studi ini bertujuan untuk mengidentifikasi faktor-faktor penyebab utama kecelakaan berdasarkan pendekatan sistem HFACS-MI yang mengklasifikasikan kesalahan manusia dan kelemahan sistemik dalam organisasi tambang. Berdasarkan data kecelakaan kasus cedera Tahun 2024, analisis dilakukan secara kualitatif dan kuantitatif terhadap berbagai faktor, dari tingkat operator hingga organisasi.Hasil penelitian mengungkapkan bahwa kecelakaan paling banyak dipicu oleh unsafe acts, terutama skill-based errors, yang menunjukkan kelemahan pada kompetensi atau keterampilan dasar pekerja. Selain itu, faktor latent failures seperti lemahnya supervisi dan ketidakefisienan sistem organisasi juga berperan penting.
This research examines work-related accidents in the mining industry categorized as injury cases, using the Human Factors Analysis and Classification System in Mining Industry (HFACS-MI). The mining industry is known as a high-risk sector, where serious incidents such as major injuries and fatalities frequently occur despite investigations and preventive measures. The study aims to identify the main causal factors of workplace accidents based on the HFACS-MI framework, which classifies human errors and systemic weaknesses within mining organizations. Using data from injury-related accident cases in 2024, both qualitative and quantitative analyses were conducted to assess contributing factors from the operator level up to the organizational level.The findings reveal that the majority of accidents were triggered by unsafe acts, particularly skill-based errors, indicating deficiencies in workers' basic competencies. Additionally, latent failures, such as inadequate supervision and organizational inefficiencies, were also found to play a significant role.
This research examines work-related accidents in the mining industry categorized as injury cases, using the Human Factors Analysis and Classification System in Mining Industry (HFACS-MI). The mining industry is known as a high-risk sector, where serious incidents such as major injuries and fatalities frequently occur despite investigations and preventive measures. The study aims to identify the main causal factors of workplace accidents based on the HFACS-MI framework, which classifies human errors and systemic weaknesses within mining organizations. Using data from injury-related accident cases in 2024, both qualitative and quantitative analyses were conducted to assess contributing factors from the operator level up to the organizational level.The findings reveal that the majority of accidents were triggered by unsafe acts, particularly skill-based errors, indicating deficiencies in workers' basic competencies. Additionally, latent failures, such as inadequate supervision and organizational inefficiencies, were also found to play a significant role.
S-12014
Depok : FKM UI, 2025
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
☉
Adisty Safira Salma Damayanti; Pembimbing: Dadan Erwandi; Penguji: Laksita Ri Hastiti, Zuly Prima Rizky
Abstrak:
Read More
Penelitian ini mengkaji kecelakaan kerja di industri pertambangan yang tergolong dalam kategori cedera, menggunakan metode Human Factors Analysis and Classification System in Mining Industry (HFACS-MI). Industri pertambangan dikenal sebagai sektor dengan risiko tinggi, di mana insiden besar seperti cedera kerja serius dan kematian sering kali terjadi meskipun telah dilakukan investigasi dan tindakan pencegahan.
Studi ini bertujuan untuk mengidentifikasi faktor-faktor penyebab utama kecelakaan berdasarkan pendekatan sistem HFACS-MI yang mengklasifikasikan kesalahan manusia dan kelemahan sistemik dalam organisasi tambang. Berdasarkan data kecelakaan kasus cedera Tahun 2024, analisis dilakukan secara kualitatif dan kuantitatif terhadap berbagai faktor, dari tingkat operator hingga organisasi.
Hasil penelitian mengungkapkan bahwa kecelakaan paling banyak dipicu oleh unsafe acts, terutama skill-based errors, yang menunjukkan kelemahan pada kompetensi atau keterampilan dasar pekerja. Selain itu, faktor latent failures seperti lemahnya supervisi dan ketidakefisienan sistem organisasi juga berperan penting.
This research examines work-related accidents in the mining industry categorized as injury cases, using the Human Factors Analysis and Classification System in Mining Industry (HFACS-MI). The mining industry is known as a high-risk sector, where serious incidents such as major injuries and fatalities frequently occur despite investigations and preventive measures. The study aims to identify the main causal factors of workplace accidents based on the HFACS-MI framework, which classifies human errors and systemic weaknesses within mining organizations. Using data from injury-related accident cases in 2024, both qualitative and quantitative analyses were conducted to assess contributing factors from the operator level up to the organizational level. The findings reveal that the majority of accidents were triggered by unsafe acts, particularly skill-based errors, indicating deficiencies in workers' basic competencies. Additionally, latent failures, such as inadequate supervision and organizational inefficiencies, were also found to play a significant role.
S-12084
Depok : FKM-UI, 2025
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
☉