<![CDATA[The development of the Smart Island ecosystem is currently hindered by a reliance on inefficient staff patrols to monitor cleanup activities in the Pasir Padi Beach tourist area. In this context, the objective of this research is to develop a crowdsourcing-based solution that enables the evaluation of a mobile web application prototype for monitoring the cleanliness of this tourist site. Camera and GPS technologies have been integrated into this system to empower tourists to act as human sensors to detect piles of trash or damaged facilities in real-time. Prototyping was carried out by simplifying the interface to develop this system. The SUS survey method was used in the empirical assessment of thirty participants at the test site. The results of the study show that the SUS score averaged 78.58. When compared to evaluation metric standards, this falls into the “Acceptable” category, with a “Grade B” rating and a “Good” predicate. This indicates that the system interface is technically sound and intuitive for general users. In conclusion, the implementation of this participatory reporting system has proven to be an effective adaptive solution to support the sustainable strengthening of the Smart Environment pillar.]]>
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