World Journal of Pharmaceutical
and Medical Research

( An ISO 9001:2015 Certified International Journal )

An International Peer Reviewed Journal for Pharmaceutical and Medical Research and Technology
An Official Publication of Society for Advance Healthcare Research (Reg. No. : 01/01/01/31674/16)
ISSN 2455-3301
IMPACT FACTOR: 6.842

ICV : 78.6

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Abstract

ENVIRONMENTAL RISK ANALYSIS IN PERTAMINA PIPE INSTALLATION MAINTENANCE REFINERY UNIT IV CILACAP ON KALI YASA RIVER, CENTRAL JAVA INDONESIA

Dr. Slamet Isworo* and Poerna Sri Oetari

ABSTRACT

PT Pertamina Refinery Unit IV Cilacap plans to carry out pipeline maintenance on a cross-country track along 5,300 meters. The activities will be carried out in the form of pipe replacement with the aim of increasing the safety of the distribution pipes. Research is a risk analysis study that aims to identify the existence of negative impacts, predict the level of possible emergence of hazards, evaluate risks that may occur and manage risks that may occur due to maintenance activities of crossing oil fuel distribution pipes with Kali Yasa river. The method used in this study is the method: American Petroleum Institute (API) 581. This method is a risk assessment method which consists of several stages of assessment are qualitative risk assessment, quantitative risk assessment, and semi quantitative risk assessment. The results of the survey and the magnitude of each risk were analyzed and then grouped based on the consequences of the range of risks and the determination of the possibility of the risk of failure from the source of the hazard due to natural factors and human factors. Risk analysis addresses that the risks posed by the construction of Pertamina's oil pipelines are low (low risk) and low to medium (low - medium risk) at the source of the danger of the risk of accidental damage due to human factors. Conclusion Risk analysis of pipeline maintenance on cross country lines, PT Pertamina Refinery Unit IV can improve the safety and reliability of Pertamina's pipeline and can predict the risks that may occur, so that risks can be managed properly.

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