18
A. Zakaria et al.
Table 2.3 Second-Round
Survey
Determinant
N
Mean
S.D
Number of Crew
7
3.43
.787
Departure Schedule
7
3.57
.787
Standard Operating Procedure
7
4.00
.577
Briefing/Roll-Call
7
3.71
.951
Safety Measure
7
4.86
.378
Crew’s Discipline
7
4.71
.488
Customer’s Feedback
7
4.29
.488
Valid N (listwise)
7
society. As for the standard deviation, the close value to the mean value is the corporate image and intermodal link which is 0.535. This indicated that the data are close
to the mean value or average of the data set.
2.4.3 Result of Second-Round Survey
Table 2.3 shows that the highest mean value is the safety measure which is 4.86
compared to all independent variables that are used in this research. The lowest
mean value is the number of crew which is 3.43. For the standard deviation, the
highest value is the briefing/roll-call which is 0.951, and the lowest value is the safety
measure which is 0.378. If the value of standard deviation is small, the data are close
to the mean value or average of data set; besides that, the data were distant from the
mean value if the standard deviation is large. This result shows that the respondents
are emphasizing the safety measure as an important factor that will determine the
success of ferry operations at Penang port compared to all independent variables.
Table 2.4 shows the degree of correlation between two variables which are the
dependent variable and independent variable. The number of crew is the highest
value compared to any other variable which is 0.500, and the data are close to 1.
The consequences of this result demonstrate that there is a significant relationship
between two variables.
Obviously, this is a positive correlation. Since the value is positive, it can be
concluded that the sufficient numbers of the crew play an important role in influencing
the successful ferry operations and also contribute to the efficiency trip as scheduled.
Besides that, there is a negative correlation when the result of Pearson’s generated
a negative Pearson’s r value; for example, as one variable increases a value, the second
variable decreases the value. For instance, the discipline and attitude value is −0.427,
and it can be concluded that the negligence of crew does not directly affect the whole
ferry operations as compared to another variable.
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