DETECTION OF ESCHERICHIA COLI IN WATER USING INTERNET OF THINGS BASED ON PHYSICAL AND CHEMICAL APPROACH

• Main Author: Diana Wazaumi, Dwi
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/71409
• Institution: Institut Teknologi Bandung

Clean water is one of the most important and essential resources for people's daily lives. Water pollution affects all human activities. Inadequate clean water supplies can be caused by uncontrolled water pollution, one of which is bacterial contamination. Currently, water quality inspections are conducted twice a year in each region, but there remains the issue of continuously testing the number of bacteria in the water as necessary and promptly reporting the detection results to the administrator. The aim of this research is to develop a tool that can rapidly detect bacteria in water. The detection is done by performing the relationship between physical and chemical parameters. Physical parameters consist of temperature, total dissolved solids (TDS) and turbidity, while chemical parameters consist of water acidity (pH). These physical and chemical parameters are recorded by multiple sensors connected to the Internet or commonly known as the Internet of Things. This study uses a V-model consisting of three phases: project definition, implementation, and project testing. The results of this study show that simultaneous use of physical and chemical parameters requires separation of sensors to reduce inferences about sensor performance. Each sensor was also calibrated in this study. Calibration results showed that the pH sensor had the lowest error rate compared to the other sensors, 0.2%. This study succeeds in rapidly detecting E. Coli compared to previous studies.