Novi Syaifatun Kamala and Intania Betari Miranda created a tool called Smart Fish House (SFH). According to Novi, Smart Fish House uses the principle of a wall trombe, in which there is a narrow room filled with air in the form of glass. "The principle works is that the outer surface will be heated by sunlight, then the light is slowly moved into a narrow room," Novi said. Then the heat in the room will be connected. This principle can be used as an alternative to the utilization of heat energy to be more effective and efficient because it can absorb heat and also function in heat storage that can be used at any time. Trombe walls are also not affected by bad weather because energy is stored on the wall, so it can protect or be used for anything in it. During the day, this trombe wall will absorb heat from the sun, so that heat energy will settle and cannot come out. The design of Smart Fish House is made of one floor that utilizes the air circulation inside which is designed to be modified so that it has the benefit of being a food dryer media.
Intania Betari Miranda said, Smart Fish House is a tool that is integrated with the internet so it is called IoT (Internet of Things). In this tool several sensors are installed which have their respective functions, including the temperature sensor to regulate the temperature and also make recommendations for the ideal drying time in the Smart Fish House. The system will check the temperature conditions that are ideally monitored are 50-70°C. If the temperature is more or less than this limit, Arduino will automatically calculate the recommended drying time. "There is also a heavy sensor to calculate how many kilograms of fish that have been accommodated in SFH and the GPS Sensor is used to find out the location of the Smart Fish House that is spread at the point of potential fisheries in Indonesia," Intania said. The three sensors will be inputted to Arduino for processing. After processing on Arduino, then the data will be sent to the cloud as a database to be stored and reprocessed. Data that has been processed in the cloud will then be sent to the user's smartphone via the Smart Fish House application. In the application, users can use several key features, including: a) the fish purchase feature, where users can buy dried fish products produced; b) features of fish production statistical data, where users can find out how much fish production is produced in an area that has a Smart Fish House so that they can know the time to supply fish to areas that lack fish; c) weather info feature, where users can find out weather information on that day; d) recommended drying time, where the user can find out the recommendations for drying the fish. This work is an innovation of ideas that will be included in the national selection of MTQMN competition in the Al-Qur'an content scientific paper in Aceh next August. (Dedy)