Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/29095
Title: THE SIGNIFICANT FACTORS, EFFECTS, AND PREVENTIVE MEASURES ON MARINE VESSELS TOWARDS OIL SPILL: A CASE STUDY AT PENANG PORT
Authors: JAZMAN AL AZIM BIN RUDISHAM, 56217121339
Keywords: qualitative and quantitative data
Issue Date: 31-Oct-2023
Publisher: UNIKL MIMET
Abstract: One of the biggest contributions to marine pollution is oil spill. While many are not aware, it is a reoccurring event that happens every now and then. Malaysia, more specifically Pulau Pinang is not an exception. The goal of this research is to look into the several factors, effects, and preventative measures for oil spills for the marine environment, with a focus at Penang Port, a company by the MMC Group located in Pulau Pinang. Oil spills are a major source of marine pollution. in Malaysia, and Pulau Pinang happens to be a major spot for Oil spills. The research uses IBM SPSS version 20 to analyse the data obtained from 30 respondents, most likely members of Penang Port's Operations and Regulations Division. A mixed-methods approach is used in the research project to gather both qualitative and quantitative data. The quantitative data from the survey questions is combined with additional qualitative information from an open-ended question provided in the questionnaire to offer a more thorough understanding of the issue. The findings of this research will be a valuable resource for maritime administrations, port operators, and other parties involved in the Penang Port area and around Malaysia. The result from the questionnaire shows a strong and reliable data using the Mean and Standard Deviation statistics. A mean at a value of 4.20 and a score of 0.887 standard deviation for the factors of oil spill. A mean at 4.30 and a score of 0.988 standard deviation for effects of oil spill and mean at 4.17 and a score of 0.747 standard deviation for preventive measures of oil spill.
URI: http://hdl.handle.net/123456789/29095
Appears in Collections:Final Year Project - UniKL MIMET

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