GH151: SWIFTLETGUARD

Mohamad Jauhari Bin Japri Kolej Vokasional Likas

iSIIDFCT | Greenhorn Innovator

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The Internet of Things (IoT) is a concept that is becoming increasingly popular in this age of technological advancement because it allows users to connect to a system online remotely. In Malaysia, the swift nest industry has grown rapidly since 2008. With a 9 share of the global market, the country is the third largest country in this industry after Indonesia. However, the global demand for swiftlet nests is around 12,000 tons per year, while production in the whole of Southeast Asia can only reach 500 tons. The current temperature in Malaysia is between 32°C - 35°C, but the optimum temperature for swifts to nest is in the range of 25°C - 30°C with a relative humidity of 70% and above. To overcome this challenge, an IoT-based temperature control system for swift breeding has been developed to regulate the temperature in the swift houses. This system is designed to ensure that the temperature and humidity in the swift boxes are always optimal so that the swifts can produce high-quality nests. These conditions are crucial for maintaining the breeding process and the survival of the swifts. The project was developed using the ADDIE model as a reference for project development. The test results showed that 100% of the analyzes could be carried out in real time. The system uses solar energy as the primary energy source and uses the IoT platform Blynk to monitor temperature and humidity. The system is activated when the temperature in the swift house exceeds 30°C or when the humidity in the swift house is less than 70%. With this temperature control system, the quality of the swift nest harvest can be improved, opening up export opportunities and expanding the market. The design of the circuit and the use of this system are also emphasized to ensure the safety of users. In the future, the researchers plan to improve the function of counting the number of swifts at a certain time to analyze the nest production during the year more accurately.