Maulana Achmad As-Shidiqi

In this research, fuzzy logic is used as artificial intelligence in the system, so that determining fish pond water quality can be done automatically. The fish pond used as the object of research, as relevant environment, is the gourami pond at Kalitengah village Blitar City East Java. Inside the system, there is a NodeMCU - ESP8266 which capacities as a microcontroller. What’s more, there is a pH sensor that will peruse the pH estimation of the water from the pond. The water pH esteem information will be perused by the microcontroller for preparing utilizing fluffy rationale. After the consequences of the fluffy rationale show up, the outcome information will be shown through the OLED screen. Press button is additionally given as a route interface. The aftereffects of the fluffy rationale will likewise trigger the hand-off to move as indicated by the reference point. In the event that it meets the necessities to discard water in the pond, the framework will turn on the pump to deplete the pond water. The test incorporates testing fluffy rationale through both simulation and lab investigates the device. The examination between the simulation and the experiment from the test results shows a distinction in the normal consequences of - 2.14% with the most elevated contrast of - 4.61% and the least of - 2.89%.

In this research, IoT Lora technology is used to monitor the operation of the solar powered automatic pump. The advantage of the Lora system is that it is a much better range than using conventional WIFI connection. Using a Point to Point topology, there are two devices, a sending unit and a receiving unit. The sender is in charge of sending sensor reading data in the form of current values and the condition of the water pump electrical wire connection, while the receiver is in charge of receiving data from the sender and then translating it into digital data which is then displayed on the OLED for monitoring purposes. The receiver is also connected to the mobile app via Bluetooth connection. Data displayed on smartphone by using mobile app. Based on the test results, the average value of delivery delay is 26664.9 and an average Received Signal Strength Indication (RSSI) of -111.7. This test is done by sending 10 experimental data where the distance between the transmitter and receiver is 200 meters. It can be concluded that the system is able to work in accordance with the design that has been done. The system can work properly and detect abnormalities in the electric pump, then send it as a notification to residents, thus facilitating the pump maintenance process.