Smart Fish Feeder Design and Analysis at Sekemala Integrated Farming (Seinfarm)

Feeding fish in aquaculture is generally still performed by feeding manually by hand which causes the dose of feed given to be incorrect. There are lots of fish farms that still use the manual method of feeding which causes the amount of feed does not match the number of fish in the farm. The purpose of this research is to develop an Internet of Things (IoT) fish feeder and measure the effectivity of the use of smart feeders in fish farming rather than manual feeding. A smart feeder for fish feed can measure the dispensed feed according to the needs of the fish, which provides the feed given to the fish according to amount of feed required by the fish. Through this research, an analysis of automatic fish feeding was carried out to determine its effectiveness. The method used in this study is the System Usability Scale (SUS) which is a method used to determine the usability of a system. By issuing questionnaires in the form of questions to respondents to find out how efficient the use of automatic fish feed is compared to manual feeding. The result obtained from the calculation using the SUS method is 61.25. Overall, the score is “Grade D” with an Adjective Rating which is in the “OK” rating category. From the results of the conducted research, it is concluded that feeding using a smart feeder is more effective than manual feeding.