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Penerapan Metode Layer Of Protection Analysis (Lopa) Pada Hydrogen Plant I Made Aditya Dharma Putra, Binti Mualifatul R, S.Si, M.Si, Rona Riantini, S.T, M.Sc
Techno Bahari Vol 3 No 2 (2016)
Publisher : Politeknik Negeri Madura

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Abstract

Hydrogen plant (H2) merupakan tempat produksi gas hidrogen. Gas hidrogen bersifat highly flammable pada konsentrasi 4-75% di udara dan menjadi explosive pada konsentrasi 18,3-59% di udara. H2 plant memiliki safeguard untuk mencegah terjadinya risiko bahaya. Jika terjadi kegagalan pada safeguard dalam menghadapi risiko bahaya maka menimbulkan kerugian. Kajian diperlukan untuk mengidentifikasi potensi bahaya dan menganalisa risiko, dengan tujuan untuk mengetahui kecukupan safeguard. Metode Major Hazards Analysis (MHA) digunakan untuk mengidentifikasi seluruh potensi bahaya beserta nilai risikonya, sedangkan metode Layer of Protection Analysis (LOPA) digunakan untuk menganalisa dan mengevaluasi kecukupan perlindungan yang sudah ada dalam menghadapi risiko bahaya. Analisa LOPA digunakan bedasarkan risiko bahaya yang memiliki kategori risiko terburuk (ekstrem). H2 plant yang terbagi dalam 9 node teridentifikasi 71 risiko bahaya dengan 11 risiko bahaya kategori rendah, 13 risiko bahaya kategori moderat, 35 risiko bahaya kategori tinggi dan 12 risiko bahaya kategori ekstrem. Berdasarkan analisa LOPA diperoleh 2 risiko termasuk dalam level very high zone, 7 risiko termasuk dalam level high zone, dan 3 termasuk dalam level moderate zone atau dapat ditolerir. Penambahan IPL dilakukan dengan tujuan mengurangi frekuensi skenario pada risiko dengan level very high zone dan level high zone. Penambahan berupa, SIS loop atau safety interlock.
Enhancing Worker Safety Behaviors Through Proactive Interventions in the Lifting and Transport Equipment Industry Zuhroh, Ervira Fatimatuz; Wiediartini; Riantini, Rona; Ariany, Zulfaidah
MEIN : Journal of Mechanical, Electrical & Industrial Technology Vol. 1 No. 2 (2024): MEIN : Journal of Mechanical, Electrical & Industrial Technology
Publisher : P3M Politeknik Perkapalan Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35991/mein.v1i2.14

Abstract

Unsafe worker behavior remains a prevalent issue leading to workplace accidents, particularly within companies specializing in services for head truck operations, maintenance, and lifting equipment. This study aims to enhance worker safety behaviors through proactive interventions utilizing behavioral observation and intervention (BO&I). Additionally, trend analysis is employed to predict the impact of interventions on worker safety behaviors. Mechanical workers involved in lifting and transport equipment operations are surveyed as respondents. The findings reveal a notable increase in the percentage of safe behaviors post-intervention compared to pre-intervention levels. Moreover, disparities in worker safety behaviors between pre- and post-intervention stages are identified, particularly in work stages associated with a high frequency of accidents. Trend analysis forecasts that the maximum percentage of safe worker behavior will be observed at the 91st intervention. Furthermore, binary logistic regression analysis indicates that variables such as age, tenure, utilization of personal protective equipment (PPE), and education significantly influence worker behaviors.