Application Software for Water Quality Data Management (MajiBora-DM) in Tanzania

In Tanzania, water quality laboratories face the difficult task of managing all of the processes involved in handling water samples. These tasks include registering samples, evaluating their quality, documenting critical parameters, analyzing data, making professional recommendations on water treatment solutions to achieve superior results, and creating comprehensive reports for clients. In this paper, the authors explain the development of the Majibora-DM program, a comprehensive tool for managing water quality data. The authors developed MajiBora-DM using the Python Integrated Development Environment (IDE), pyinstaller, and the Inno compiler, then tested it on a Windows operating system computer. It demonstrated the ability to register samples, allow data sharing among computers connected to the internet, record water quality parameters, analyze water quality, interpret data, and generate reports with water treatment approach recommendations. The software plays a crucial role by calculating the impact of chemical dosages on water quality parameters in water treatment plants, thereby recommending the most effective dosage to achieve the desired quality. Also, it can simplify water quality data analysis, allow real-time data sharing, generate water quality reports, and suggest the appropriate water treatment method using artificial intelligence to achieve clean and safe water for the intended use.