Thesis College of Engineering University of Rizal System-Morong 2024

Maintaining optimal water quality in fish ponds is important for the success and sustainability of aquaculture operations. Water quality directly influences the health, growth, and overall well-being of fish populations, making it a critical factor in aquaculture management. To address these challenges, the researcher embarked on the study of Internet of Things (IoT)-based multi-sensor smart watch for comprehensive environmental monitoring in fish ponds with the aim of developing an innovative solution to monitor and manage water conditions effectively in fish ponds, enhancing the efficiency and productivity of aquaculture practices. The study was conducted during the first and second semesters of the academic year 2023-2024. The main objective of this research is to develop an Internet of Things (IoT)-based multi-sensor smart watch for comprehensive environmental monitoring in fish ponds in Balante, Morong, Rizal. The device is designed to monitor real-time measurements of water quality in the ponds to help fish pond farmers monitor and manage water conditions effectively. The study developed the device and system that monitor the fish ponds. The device provides real-time measurement and control of water condition in the ponds, giving fish pond farmers a tool to effectively monitor and manage water conditions. The researchers evaluated the performance efficiency of the measurements by comparing the data collected by the deployed device to the smartwatch display, focusing on parameters such as pH level, turbidity, and water level. The researchers utilized quantitative analysis and data interpretation techniques and examined the collected data by applying statistical methods using weighted mean scores of all gathered data in each of the different variables. The researcher employed descriptive and developmental methodologies to achieve the study's objectives. Descriptive methodology was utilized to gather comprehensive data on the current state of water quality monitoring in fish ponds in Balante, Morong, Rizal. Developmental methodology was then employed to design, develop, and test the Internet of Things (IoT)-Based Multi-Sensor Smart Watch for Comprehensive Environmental Monitoring in Fish Ponds. The researchers employed quantitative data, using a survey questionnaire checklist that describes the performance and acceptability of the device. Based on the findings, the IoT-Based Multi-Sensor Smart Watch for Comprehensive Environmental Monitoring in Fish Ponds was successfully developed and constructed, effectively fulfilling its intended purpose. Performance efficiency of measurements was confirmed through comparison with the deployed device display, demonstrating accurate readings for pH level, turbidity, and water level. Furthermore, the system's acceptability was highly rated by respondents, with an overall weighted mean of 4.62, indicating extremely acceptable levels across functional suitability, performance efficiency, usability, reliability, maintainability, and portability. The researcher concluded that the developed device effectively addresses challenges faced by traditional monitoring methods, enhancing aquaculture management efficiency. The comparison between deployed device measurements and smartwatch display readings confirms the efficiency of pH level, turbidity, and water level measurements. The developed device and system were found to be extremely acceptable, with reliability receiving the highest average weighted mean, indicating a high level of satisfaction with the system's performance. This study recommends that future researchers improve and develop the system and the device. These recommendations include developing a centralized website for data storage and analysis, integrating additional sensors for comprehensive monitoring, conducting field tests to validate performance, and continuously refining the device based on user feedback and technological advancements.