Automatic Clean Water Treatment System Using The Sugeno Fuzzy Method

Abstract

All Water is the most important source in the human body, healthy water can help the metabolic processes in the body perfectly. Water used by humans must be in accordance with those set by the government (Permenkes RI number 492 of 2010, regarding the requirements and supervision of water quality). Clean water according to regulations issued by the government through the Indonesian Ministry of Health is having a PH value of 6.5 - 8.5, TDS (Total Dissolved Solid) a maximum of 500 mg / L, and a maximum turbidity level is 5 NTU (Nephelometric Turbidity Unit). In the process of managing dirty water into clean water, it must be done carefully so that the germs in the water are completely gone and the people who use them are free from all diseases. From the problems above, a clean water management system has been created. This system can read the value of water suitable for use or not. Water condition readings using PH sensor, TDS (Total Dissolved solid) sensor and turbidity sensor (TSD 10). Data values from the sensor (input) are processed using fuzzy method as a logic to start the pump if the water value does not match the set point specified and display the sensor value on the LCD (Liquid Cristal Display). The results of the whole system were obtained an average error for the sr-HC04 sensor 1%, turbidity 2.12%, the TDS sensor 2.40% and the pH sensor 0.48%.

Membrane Filter Replacement System for Portable South Kalimantan Peat Water Treatment Solar-Powered Using Fuzzy Inference System Takagi-Sugeno-Kang Method

“…In this research, the filter cartridge maintenance decision support system uses the fuzzy Sugeno method on the variables of turbidity, TDS (Total Dissolved Solids), and filtration pressure. Past researchers have implemented the fuzzy system into a microcontroller system [19,20]. The microcontroller system will regulate pump automation (on-off) according to filter conditions based on changes in variables read using turbidity sensors, TDS sensors, and pressure sensors.…”

“…Meanwhile, the use of fuzzy Sugeno will produce a faster response [21]. According to Farmadi and Muliadi [20], the Sugeno method is suitable for microcontrollers as it is easier for making decisions, leading to simpler code writing that is easier on microcontrollers that have limited memory.…”