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Berdasarkan analisis HFACS, lapisan supervisory factor memberikan kontribusi terbesar dari penyebab kecelakaan kerja dengan proporsi 42%. Hasil analisis juga menunjukkan keterkaitan hubungan antar faktor-faktor penyebab yang datang dari masing-masing lapisan utama HFACS yang menunjukkan adanya interkasi antara active failure dan latent condition hingga terjadinya kejadian yang tidak diinginkan (adverse events). Operasi yang tidak terencana dengan baik, kepemimpinan/pengawasan yang tidak memadai, dan pengaruh proses operasi organisasi yang tidak memadai menjadi suatu kondisi laten yang terbaring dalam organisasi hingga terpicu oleh adanya active failure yang datang dari skill-based errors dan decision errors dari pekerja.
This study discusses the analysis the causes of occupational incidents that occur in the oil and gas industry activities. Using in-depth analysis studies through descriptive analytic methods, the research was conducted by conducting qualitative analysis of investigative report data on all categories of serious incidents resulting loss of working days (Days Away From Work) and incidents which had fatality impacts within PT O operation area during period of 2012 - 2019. Analysis the causes of occupational incidents during the research were using the Human Factor Analysis and Classification System (HFACS) method.
Based on the HFACS analysis, the supervisory factor layer provided the largest contribution from the causes of occupational incidents with a proportion of 42%. The analysis also shows the relationship between the causal factors that come from each of the main layers of HFACS which shows the interaction between active failure and latent conditions to the occurrence of adverse events. Unplanned operations, inadequate leadership / supervision, and the influence of the inadequate organization's operational processes become a latent condition that lies dormant in the organization until triggered by active failure that comes from skill-based errors and decision errors from workers.
The focus of this research is to analyze all occupational accidents of lifting activities on land rig operations in PT ‘X’ using the Human Factor Analysis and Classifications System (HFACS) method in 2014 - 2018. The type of research methodology is qualitative research with a descriptive design. The final result shows that the unsafe act layer is the most ineffective layer that contributing to almost all occupational accident cases which is 45 of 49 total cases of occupational accidents. Error is the sub-layer of unsafe act which has the highest number of contributions to occupational accident cases with total 39 cases. On the other side, the organizational influences layer is the second layer that has high contribution to accident which is 26 of 49 total cases of occupational accidents. The organizational process is the sub-layer of organizational influences which contributing to 23 cases of occupational accident. The third layer which has contribution to accident is unsafe supervision. The unsafe supervision has contribution to accident which is 16 of 49 total cases of occupational accidents. Inadequate supervision and planned inappropriate operation are the sub-layer of inadequate supervision which contribute to the accident cases for 10 cases equally. The layer of preconditions for unsafe actions is the effective layer which has contribution to occupational accident cases which is 8 of 49 total cases of occupational accidents. Personnel factor is the sub-layer of preconditions for unsafe actions which contribute to 7 cases of occupational accidents. According to the result, researcher recommend that corrective action must be taken at each layer of HFACS as the safety protection system, both latent failures and active failures with the emphasis on improvement, which start from the organizational influences layer, followed by the unsafe supervisions layer, and then unsafe actions layer, while the improvement on the layer of precondition for unsafe actions becomes the last improvement. Improvement to organizational influences layer, unsafe act layer, and unsafe supervisions layer will have a positive influence on the layer of precondition for unsafe actions.
Kata Kunci: Kecelakaan kerja, konstruksi bangunan, HFACS, pencegahan, keselamatan dan kesehatan kerja
Industri pertambangan merupakan kegiatan industri yang mempunyai risiko tinggi. Faktor manusia telah diidentifikasi sebagai penyebab paling umum terjadinya kecelakaan besar di industri pertambangan. Oleh karena itu, penelitian ini bertujuan menganalisis data kecelakaan di PT. X dengan menggunakan kerangka analisis faktor manusia dan sistem klasifikasi industri pertambangan (HFACS-MI). Metode penelitian ini melibatkan pengumpulan data kualitatif untuk 322 kasus kecelakaan di PT. X yang terjadi pada tahun 2018-2022 dari basis data Sistem Manajemen Insiden yang dikategorikan sebagai cedera yang dapat dicatat. Faktor penyebab kecelakaan ini diberi kode menggunakan kerangka HFACS-MI. Data kecelakaan dianalisis menggunakan statistik deskriptif. Temuan penelitian menunjukkan bahwa 84% dari seluruh kecelakaan melibatkan pekerja kontraktor dan 16% melibatkan pekerja tetap PT. X. Hasil analisis menggunakan kerangka HFACS-MI menunjukkan bahwa setiap lapisan atau tingkatan memberikan kontribusi terhadap kecelakaan, yaitu faktor luar (44%), pengaruh organisasi (68%), kepemimpinan tidak aman (90%), prasyarat tindakan tidak aman (99%), dan tindakan tidak aman (99,7%). Temuan ini menekankan perlunya fokus pada pengurangan jumlah kesalahan manusia selama operasi penambangan untuk mengurangi tren kecelakaan saat ini. Kerangka kerja HFACS-MI telah terbukti menjadi alat penting untuk analisis kecelakaan yang kuat terhadap faktor manusia di pertambangan.
The mining industry is an industrial activity with high risks. Human factors have been identified as the most common cause of major accidents in the mining industry. Therefore, this research aims to analyze accident data at PT. X using the human factors analysis and classification system-mining industry framework (HFACS-MI). This research collected qualitative data for 322 accident cases at PT. X occurring from 2018 to 2022 from the Incident Management System database categorized as recordable injuries. Factors causing the accidents were coded using HFACS-MI framework. Accident data were analyzed using descriptive statistics. The study findings revealed that 84% of all accidents involved contractor workers and 16% involved the PT. X permanent workers. The results of analysis using the HFACS-MI framework show that each layer or level contributes to accidents, namely outside factors (44%), organizational influences (68%), unsafe leadership (90%), preconditions of unsafe acts (99%), and unsafe acts (99.7%). These findings emphasize the need to focus on reducing the number of human errors during mining operations to reduce the current accident trend. The HFACS-MI framework has proven to be a valuable tool for robust accident analysis of human factors in mining.
Penelitian ini juga bertujuan untuk mengetahui potensi-potensi bahaya apa saja yang dapat timbul dari kegiatan pemboran khususnya sumur S-10 yang terletak di lapangan A milik PT X serta tingkat resiko dan setiap potensi bahaya yang mungkin timbul dan kegiatan tersebut Dari studi ini selanjutnya diharapkan dapat memberikan rekomendasi langkah-langkah kontrol yang dapat dilakukan untuk mencegah terjadinya.
Oil and gas industry is the high risk operation. Because of safety reason, oil and gas company should have a good system to Identify and analyze all potential hazards and risks before execute their activities especially in drilling activities.
The objective of this research are to examine the validity of all supporting data such as well interpretation data, drilling equipment performance and well location condition. The approach of this study is to evaluate all potential hazards and calculate the level of its risk which is exist on drilling activities especially at S-10 Well, Filed-A that can practically use to determine the control action to avoid incidents and/or accidents in a workplace.
Metode Penelitian : Penelitian ini merupakan penelitian deskriptif dengan pendekatan Kuantitatif. Subjek penelitian berjumlah 50 pekerja di bagian produksi, pengambilan sampel dengan teknik table Krejcie & Morgan. Jenis kuesioner tertutup dengan pilihan jawaban SS, S, KS, TS dan STS diukur menggunakan skala Likert. Kuesioner telah diuji validitas dengan Teknik analisis koefisien korelasi product moment pearson dan uji reliabilitas dengan alpha cronbach > 0,60. Analisa data menggunakan analisis korelasi dan regresi berganda.
Hasil Penelitian : Hasil analisis regresi berganda menunjukkan variable 9 paradigma psikometri mempunyai pengaruh signifikan terhadap persepsi resiko kecelakaan kerja (p value < 0.05). Variabel pengalaman, pendidikan, usia, jenis kelamin, lama kerja dan sub unit kerja tidak menunjukkan hubungan yang signifikan dengan persepsi resiko kecelakaan kerja.
Kesimpulan : Variabel paradigma psikometri menunjukkan pengaruh signifikan terhadap persepsi resiko kecelakaan kerja. Kata kunci: Persepsi , resiko, kecelakaan kerja
Kata kunci:Kecelakaan, analisis kecelakaan, Human Factors And Classification System, HFACS, Comprehensive List Of Causes, CLC
This thesis assess the accident in PT XYZ 2015 by using Human Factors AndClassification System (HFACS) framework. This research is a semi-quantitativewith design study analytical descriptive. Results from this study are a layer ofHFACS most weakness is unsafe act at 11 from total 11 accidents with theelements of decision error becomes a factor of the number one weakness, thenfollowed with a precondition of unsafe act at 10 with the elements of conditions ofservice to be the factors that most contribute to accidents, followed by unsafesupervision at 7 with inadequate leadership element is the factor that mostcontributed to the accident, and the latter as much as 5 of organizationalinfluences with elements of organizational climate and resource management isthe factor that most contributed to the accident. The analysis of research suggestscorrective actions at each level of HFACS, not only for active failures but alsolatent failures with reinforcing corrective action at the unsafe act layer.
Key words:Accident, accident analysis, Human Factors And Classification System, HFACS,Comprehensive List Of Causes, CLC
