Analisis Risiko Kesehatan Dan Keselamatan Kerja (K3) Terhadap Kecelakaan Kerja Pada Proses Scrapping Kapal Di Bangkalan Madura

Tsalatsyanto, Wafiyuddin (2024) Analisis Risiko Kesehatan Dan Keselamatan Kerja (K3) Terhadap Kecelakaan Kerja Pada Proses Scrapping Kapal Di Bangkalan Madura. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Scrapping merupakan proses pengumpulan material logam yang sudah tidak layak pakai ataupun tidak dibutuhkan lagi pada suatu benda. Salah satu industri yang menghasilkan limbah logam yakni industri perkapalan. Proses scrapping melibatkan peralatan yang berbahaya dan menimbulkan risiko kecelakaan. Analisis risiko dilakukan sebagai upaya mengendalikan potensi dan dampak risiko yang mungkin terjadi selama proses scrapping. Pada penelitian ini, dilakukan analisis risiko pada proses scrapping pada galangan kapal daur ulang yang berada di Pesisir Pantai Bangkalan Madura. Metode yang digunakan untuk mengidentifikasi dan menilai risiko yakni hazard identification and risk assessment dengan kemampuan untuk menilai risiko dominan dari berbagai aktivitas pekerjaan. Risiko dominan dari proses scrapping yakni tali yang putus saat proses pemasangan pada kapal dengan nilai 15, kebakaran pada proses pembersihan tangki BBM dengan nilai 16, dan pekerja yang tergelincir pada proses penarikan kapal menuju daratan dengan nilai 15. Fault tree analysis digunakan untuk mengetahui penyebab utama kegagalan dan probabilitas. Kejadian tali putus memiliki tingkat probabilitas 0,23043 dengan penyebab utama buruknya koordinasi pekerja, kebakaran memiliki probabilitas 0,10205 dengan penyebab utama dikarenakan pekerja yang lalai, dan kejadian pekerja terpeleset memiliki nilai probabilitas 0,17272 dengan penyebab utama pekerja yang kurang fokus. bowtie analysis merupakan metode pengendalian risiko yang menghasilkan luaran tindakan pencegahan dan upaya mitigasi. Salah satu contoh tindakan pencegahan yakni pengecekan secara berkala serta mitigasi berupa penyediaan tali cadangan agar pekerjaan tidak tertunda.
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Scrapping is the process of collecting metal materials that are no longer usable or needed. One industry that generates metal waste is the shipping industry. The scrapping process involves hazardous equipment and poses a risk of accidents. Risk analysis is conducted to control the potential and impact of risks that may occur during the scrapping process. This study analyzes the risks in the scrapping process at a ship recycling yard located on the coast of Bangkalan Madura. The method used to identify and assess risks is hazard identification and risk assessment, which can evaluate dominant risks from various work activities. The dominant risks in the scrapping process include rope breakage during ship installation with a risk value of 15, fires during fuel tank cleaning with a risk value of 16, and workers slipping during the ship pulling process with a risk value of 15. Fault tree analysis is used to determine the main causes of failures and their probabilities. Rope breakage has a probability of 0.23043, primarily due to poor worker coordination. Fires have a probability of 0.10205, mainly due to worker negligence. Worker slips have a probability of 0.17272, primarily due to lack of focus. Bowtie analysis is a risk control method that provides preventive measures and mitigation efforts. An example of a preventive measure is regular inspections, while a mitigation effort includes providing spare ropes to prevent work delays.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Scrapping, Steel, Hazard identification and risk assessment, Fault Tree Analysis, Bowtie Analysis, Logam
Subjects:	T Technology > TC Hydraulic engineering. Ocean engineering > TC1665 Offshore structures--Materials. T Technology > TD Environmental technology. Sanitary engineering > TD794.5 Recycling (Waste, etc.)
Divisions:	Faculty of Marine Technology (MARTECH) > Ocean Engineering > 38201-(S1) Undergraduate Thesis
Depositing User:	Wafiyuddin Tsalatsyanto
Date Deposited:	23 Jul 2024 07:51
Last Modified:	23 Jul 2024 07:51
URI:	http://repository.its.ac.id/id/eprint/108670

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