Internet of Things for Monitoring Fish Cage Water Quality

Abstract

The purposes of this research consisted of two key areas: 1) to develop a prototype of a water quality monitoring system in real-time in fish cages using the Internet of Things and Blynk application, and 2) to study the satisfaction with the prototype of the water quality monitoring system. The population and sample were three instructors who acted as the expert to evaluate the questionnaire and 30 students who served as the respondents to assess their satisfaction with the system. All the samples are from the Faculty of Information Technology, Rajabhat Maha Sarakham University. The research tools comprised a water quality measurement application and an application satisfaction questionnaire. Statistics used in the satisfaction study were Mean, Standard Deviation (S.D.), and interpretation. From this research, the study's results can be summarized as follows: 1) The development of water quality measurement systems in fish cage farms can be used within the defined scope. 2) The results of the study of the satisfaction of the system development using the sample group, the overall study results were at the highest level of satisfaction, with means equal to 4.60 (S.D. = 0.54).