This research aims to: 1. Develop a water weed reporting system for the Royal Irrigation Department. 2. To evaluate the efficiency of the Royal Irrigation Department's aquatic weed reporting system. 3. To provide the Royal Irrigation Department with sufficient information to plan aquatic weed eradication in 17 irrigation offices throughout the country. Target groups that use this system include system administrators (Royal Irrigation Department officials) and service users. (Water delivery and maintenance personnel) Visual Studio Code tools to develop the system using the Python language. The MySQL database management system has been developed as a web application using the Django and Bootstrap frameworks. The researchers used satisfaction assessments from three experts and three users to evaluate the capabilities of the aquatic weed reporting system. The Royal Irrigation Department can be divided into steps as follows: 1) Create a potential assessment of the aquatic weed reporting system. The Royal Irrigation Department is divided into 2 parts: system administrator and weed data reporter. Part 2 provides additional suggestions. In Part 1 of the questionnaire, use the assessment of the ability of the Royal Irrigation Department's aquatic weed reporting system by specifying the Scoring Rubric in the form of Holistic Rubrics. Statistics used to analyze system satisfaction evaluation results include mean and standard deviation. The expert evaluation found that the mean is 2.38 and the standard deviation is 0.22. It can be concluded that the system performs as desired and is interesting.
No takes yet. Share an insight, caveat, or question.
Poommarin et al. (2024) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: