# Determining Factors of Fixed Offshore Platform Inspections in Indonesia
## 4 Results
### Result of Data Distribution  
Table 3 shows the data distribution using the mean and standard deviation (SD), and the most influential factors in the survey of fixed offshore platforms in this study were identified based on the scores selected by the respondents. Each respondent is free to choose a score of one-five based on their knowledge and experience to assess the suitability of the influence of each variable on the determination of the inspection of offshore fixed platforms. To obtain the mean value, the value given by the respondents to each variable was divided by the number of respondents, while the standard deviation was obtained from the distribution of values in each of these variables. From the mean and SD obtained, the analysis showed a mean of \(>\)3. This means that the factors presented influenced inspections of fixed offshore platforms, but the importance of each factor was assessed differently for each respondent based on SD values. The meaning of variable mean in Table 3 is the average variable the score from one-five based on the respondent. The mean value of \(>\)3 was due to the questions on the questionnaire that have been chosen as being the most appropriate to the factors that affect inspections of fixed offshore platforms. To assess the ranking of the most influential variables, mapping was used in the graph: the x-axis is the mean, and the y-axis is the standard deviation. There are four quadrants formed, as shown in Figure 2.  
The most influential factor in inspections of fixed offshore platforms in this study was determined based on the score chosen by the respondents, as shown in Figure 2. Table 4 shows the ranking of each variable based on the quadrant. \begin{table}
\begin{tabular}{c c c c} \hline \hline
**Items** & **Subitems** & **N** & **\%** \\ \hline \multirow{2}{*}{Position} & Manager & 28 & 93.33 \\  & Lecturer (Ph.D.) & 2 & 6.67 \\ \hline \multirow{3}{*}{Work experience (years)} & 15–19 & 19 & 63.33 \\  & 20–25 & 10 & 33.33 \\ \cline{1-1}  & \textgreater{}25 & 1 & 3.33 \\ \hline Total & & & 100 \\ \hline \hline \end{tabular}
\end{table} 
Table 2: Backgrounds of the respondents. \begin{table}
\begin{tabular}{c c c c} \hline \hline
**Code** & **Variable** & **Mean** &
\begin{tabular}{c} **Standard** \\ **Deviation** \\ \end{tabular} & **Rank** \\ \hline X1 & The year of manufacture & 4.40 & 0.93 & 6 \\ X2 & The type of fixed offshore platform & 4.43 & 0.68 & 4 \\ X3 & Structural configuration & 4.47 & 0.73 & 3 \\ X4 & The number of instances of damage & 4.80 & 0.41 & 1 \\ X5 & The number of instances of corrosion & 4.67 & 0.61 & 2 \\ X6 & The amount of modifications & 4.23 & 0.77 & 11 \\ X7 & Marine growth & 4.20 & 0.85 & 7 \\ X8 & The magnitude of scour on the seabed & 4.17 & 0.83 & 8 \\ X9 & Debris & 3.57 & 1.14 & 10 \\ X10 & Ocean waves and currents & 4.13 & 0.94 & 9 \\ X11 & Weather and climate & 4.43 & 0.77 & 5 \\ X12 & The depth of the seawater & 4.13 & 0.78 & 12 \\ \hline \hline \end{tabular}
\end{table} 
Table 3: Distribution data of variables. From the mean and SD obtained, the analysis shows that the factors presented influenced inspections of fixed offshore platforms, but the importance of each factor was assessed differently for each respondent based on SD values. Based on a scatter plot analysis, it was found that X4, X5, X3, X2, and X11 were in quadrant I, which indicates that these variables are dominant because they have high mean values but low SD values. This shows that almost all of the respondents agreed with the variables, while only some disagreed. X11 was in quadrant II, with a high mean and standard deviation, indicating that although not all of the respondents agreed with this variable, more respondents agreed than disagreed. Furthermore, X7, X8, X10, and X9 in quadrant III, with a low mean and high standard deviation, showed that respondents tended to disagree, but that some still agreed.