1st runner up and best posters at the National Scientific Writing Competition (LKTIN) Biology Innovation and Research Competition (BORN) 5

Poor. Students of the Faculty of Engineering (FT) State University of Malang (UM) managed to get the 1st and 2nd runners up best poster at the National Scientific Writing Competition (LKTIN) Biology Innovation and Research Competition (BORN) 5 on Saturday (4/7). Made Radikia Prasanta (S1 Electrical Engineering), Muhammad Aditya Firnanda (S1 Informatics Engineering Education), and Enggie Hendrawan Saputra (Electrical Engineering Education S1) managed to bring a work entitled "Foxtector: Autonomous Obstacle Avoidance Drone as Early Detection of Fires and Illegal Loggers in the Forest" .

LKTIN BORN 5 is a competition held by the University of Jember Biology Education Study Program Student Association (HMPSP Biology "Dolphins"). The theme of LKTIN BORN 5 this time is "Optimizing the Role of Generation Z in Realizing SDGs 2030 through Realization of Science and Technology Towards a Golden Indonesia 2045" which was carried out online due to the Covid-19 pandemic.

The actualization of this theme is a form of effort to welcome the intellectual formation of Indonesian youth in order to realize the vision and mission of the SDGs later. As the nation's next generation youth, it is fitting to innovate and hone creativity to advance Indonesia. In this case, UM students raised a solution in overcoming the problem of forest fires with a very innovative Foxtector innovation.

The head of the Foxtector Team, Made Radikia Prasanta, explained that forest deforestation, namely forest fires and illegal logging, is still rife in Indonesia. According to data, every year Indonesia loses as many as 684 thousand forests due to deforestation. This is similar to the case of forest fires in 2019, according to the National Disaster Management Agency (BNPB), forest fires occurred in an area of 328.7 thousand hectares in 6 provinces in Indonesia.

Radikia also explained that so far the prevention of wild fires is one of the ways to use satellite imagery with an accuracy of one kilometer so that it is still not optimal, besides that the presence of forest rangers is still not optimal to protect forests that extend to millions of hectares.

"Based on the existing problems, the Foxtector UM team initiated the Foxtector innovation, namely a drone that can detect fire and illegal loggers using a camera based on image processing," explained Radikia. In this case, the Foxtector UM team hopes to get help from various parties, both moral and material, so that they can develop this innovation so that it can be applied as an early prevention of forest fires.

Author: Siti Nuradilla - UM Public Relations Internship