# A Mobile Solution for Enhancing Tourist Safety in Warm and Humid Destinations
## 5 Discussion
### The Relationship of the SUS Score, Tourist's Satisfaction, Loyalty, and Engagement  
Our study indicates that the implemented system delivers accurate and up-to-date information to tourists with minimal delay (0.001 s). The provided weather and safety information is perceived as reliable and timely, enabling effective preparation and informed decision-making. Users find the system accessible, comprehensible, and user-friendly. The System Usability Scale (SUS) was administered to 427 tourists, resulting in an overall score of 97.45, signifying high satisfaction [66]. A higher SUS score correlates with customer satisfaction, impacting loyalty and engagement [67; 68]. Ease of use, efficiency, and effectiveness foster positive experiences, loyalty, and engagement [69]. A high SUS score increases customer engagement, while a low score diminishes loyalty and engagement. Note that other factors influence the relationship between SUS score, loyalty, and engagement. Therefore, interpreting SUS scores alongside relevant data and considering system features and context is crucial. This study examines the association between SUS score and tourist loyalty within a proposed application. Findings show a significant positive relationship (\(p<0.001\)), supporting [PERSON] et al. 's [70] idea on the relationship between SUS score and customer satisfaction. Statistical analysis details, including the SUS score and tourist loyalty relationship, can be found in Table 10.  
Gender and Age Effects on Tourist Loyalty: Insights into Tourism Safety Management and Trip Recommendation Systems  
Table 11 presents the statistical test results conducted on the data obtained from Table 9. The objective was to assess whether respondents' gender and age range have a significant impact on the average satisfaction score for the developed software. The analysis of variance (ANOVA) was performed using a factorial design with a significance level of 0.05, using Minitab as the statistical tool. The ANOVA results in Table 11 indicate \begin{table}
\begin{tabular}{c c c c c c c} \hline \hline
**Indicator** & **R Square** & **Syx** & **F** & **DFn, DFd** & \(p\)**-Value** & **Equation** \\ \hline Value & 0.7614 & 1.476 & 89.35 & 1.28 & \textless{}0.001 & \(\textgreater{}1.075\times\textgreater{}-9.881\) \\ \hline \hline \end{tabular}
\end{table} 
Table 10: Information from the regression analysis revealed the relation between the SUS score and tourist loyalty. that both the age range and gender of the respondents have a statistically significant effect on the average satisfaction score. Furthermore, there is a statistically significant interaction between the respondents' age range and gender, demonstrating that different age groups exhibit varying levels of satisfaction with the developed software. Specifically, female respondents, on average, provided higher satisfaction scores than male respondents. However, when examining the raw data of individual average satisfaction scores, both male and female respondents across all age ranges expressed the highest level of satisfaction (over 4.50) for the usability of the mobile application for tourism safety. This study offers valuable perspectives on tourist loyalty in the context of tourism safety management and the utilization of trip recommendation systems, specifically focusing on gender and age dynamics (refer to Figure 9). Notably, females exhibited a higher level of loyalty compared to males within the corresponding age bracket, showcasing a statistically significant difference of 2.18%. Furthermore, female tourists consistently exhibited greater loyalty across various age groups when utilizing the trip safety recommendation system. These findings have important implications for tourism practitioners and policymakers, highlighting the need for targeted strategies catering to the specific needs and preferences of diverse tourist segments. Analysis of tourist loyalty across different age groups revealed interesting trends.