This study was proposed a river water quality monitoring application, connected by sensors such as pH, turbidity and Total Dissolved Solids (TDS) sensor to measure acidity, turbidity levels and amount of dissolved solids, respectively, as well as reduce bad effect of polluted river water. This river water quality monitoring tool was able to process input data from sensors using fuzzy algorithms and determine whether the river water quality is good or not. LoRa functions as data transmission communication and Antares as a cloud service to store data obtained from sensors. Furthermore, data obtained was displayed in the Smartphone Android application. The rivers that were tested are located in Citarum river sector 6 and 21. The results showed that the accuracy of the temperature, TDS and pH sensor were 98.69%, 89.69% and 99.39%, respectively. Furthermore, the average value of RSSI Citarum sector 6 and 21 were -111,576 dB and -112,855 dB, respectively. Meanwhile The average SNR of Sector 6 was -6,46 dB and Citarum sector 21 was -12,85851 dB.
The high consumption and low production of agricultural plants have compelled the Indonesian government to import the quantity necessary to meet annual domestic needs. Therefore, a system was designed to measure the level of elements, such as nitrogen, phosphorus, and potassium, in the soil in order to improve the yield of plants. This involves the use of nitrogen, phosphorus, and potassium fertilizers and soil moisture sensors with an automatic flushing system to control the measurement in real time. Moreover, an Antares LR-ESP201 Board was employed to transmit data to the cloud and Low-Power Wide Area Network LoRa was also applied at a frequency of 920–923 MHz. The data were displayed on an Android smartphone based on the Internet of Things. The results showed that the system allows users to measure the nitrogen, phosphorus, and potassium levels directly through the Android application in order to control the soil content and fertilization, and to ensure an effective watering process on a farm.
Lorawan network is ideal for IoT devices that continuously monitor a device and provide information to the gateway if the monitored data is outside the permitted threshold. These devices only require a small bandwidth and are therefore capable of operating on batteries for a long period of time. This study evaluates the design of a tool to measure soil nutrients with parameters of Nitrogen (N), Phosphorus (P), Potassium (K) using NPK sensors and IoT-based systems. The microcontroller used is ESP 32 which is connected to two types of networks. And will be integrated by Antares and the Android app. The purpose of making two types of networks in order to obtain data for analysis or development of the next tool. The result of designing this system is to create a device that can help farmers or the community in the process of measuring nitrogen, phosphorus, and potassium levels directly through the Android application so that soil control and fertilization can be more effective moreover yields can be maximized.
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