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| UMM Students Show off their Innovation of Water Detection Tool (Photo: Special). |
Innovation is not always about creating something new. However, innovation can develop and improve existing products, just like what Nur Rosyidatul Hasanah and a team of students from the Aquaculture Study Program of the University of Muhammadiyah Malang (UMM) did. They created a shrimp farming water quality detection device. The device is an Emergency Alert System (EAS). It has six sensors integrated with the internet.
Oci, her nickname, said this tool was developed to facilitate shrimp farmers, especially in checking water quality without necessarily coming directly to the place of cultivation. "Since this tool is integrated with the smartphone, they don't need to come to the location to check the water quality. They can use their devices anywhere and anytime," she said.
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Furthermore, EAS has different sensors from other devices that already exist. Unlike the usual tool that only has one sensor, the EAS has six sensors simultaneously. Thus, it can be easier for the farmers. The sensor in EAS checks the pond water, and the data obtained will be displayed on an application integrated with a smartphone.
All aspects of the sensor contained in the EAS are based on the Indonesian National Standard (SNI) 8313.1-2016. Including the average temperature in shrimp ponds ranging from 23-30 degrees Celsius, salinity or salinity levels ranging from 23-30 ppt, ammonia levels of 0.02-0.06, water pH of 7.8-8.5, total dissolved solids (TDS) 352-5.5 ppm and oxygen levels ranging from 4.84-5.5.
The EAS development process took four months, from May to August. Oci admits that the development of EAS encountered many challenges. One is the mismatch between the actual water quality conditions and the data displayed on the cellphone.
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"So during the trials, the data displayed on the smartphone had different results from what was checked by the other devices. This makes us think twice about finding a solution," said Oci.
The EAS works by detecting water quality in shrimp ponds. Previously, EAS must be connected to the application provided. During the time of checking, the Arduino, which acts as the brain of the tool, will send data from the six sensors, and then the results will be displayed on the cellphone.
Oci and his team hope that EAS can be functional for farmers so that they do not need to go directly to their farms. That way, they have the effectiveness of time that can be used for other things. She and her team will continue developing EAS, such as adding sensor features. Moreover, checking water quality is more comprehensive than these six aspects. (put/*tri/wil)
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