Students from the Faculties of Engineering and Medicine at Udayana University Secure PKM-KC 2026 Funding to Develop a Deep Learning-Based Lymph Node Cancer Detection Device.

• Posted by: Admin
• Sabtu, 29 Agustus 2026
• Has been read 74 time(s)

Students from Udayana University have successfully secured funding under the 2026 Student Creativity Program – Creative Initiative (PKM-KC), organized by the Ministry of Higher Education, Science, and Technology through the Directorate of Learning and Student Affairs (Belmawa). Their submitted innovation proposal focuses on developing a lymphatic cancer detection device integrated with deep learning technology.

The PKM-KC program is a national initiative that encourages students to produce creative and innovative works grounded in science and technology. Securing funding for the proposal demonstrates the ability of Udayana University students to develop innovative solutions for healthcare challenges.

Notably, the proposing team is the result of a cross-faculty collaboration between Udayana University’s Faculty of Engineering and Faculty of Medicine. The team comprises Gabriella Sunsugos Sianturi (Electrical Engineering) as Team Leader, along with members Nyoman Wiprayanka (Information Technology), Kelvin Imanuel (Electrical Engineering), Assyifa Dewanda Parend (Medicine), and I Komang Raditya Putra Pratama (Medicine). The team is guided by faculty advisor I Putu Elba Duta Nugraha, S.T., M.T.

Through the PKM-KC program, the team is designing an innovative lymphatic cancer detection device that utilizes deep learning technology. This innovation integrates expertise from the fields of engineering, information technology, and medicine, aiming to produce a prototype that offers significant innovation value and the potential to advance healthcare technology.

The program is being carried out at the students' home institution, Udayana University, following the stages outlined in the 2026 PKM-KC implementation plan. These stages include data collection and analysis, prototype design, development of a hybrid CNN-Regression model, prototype manufacturing, functionality testing, standard setting, report preparation and Intellectual Property Rights (IPR) acquisition, as well as scientific and social media publication. A key aspect of this innovation's development is the implementation of a hybrid CNN-regression model within the data processing and analysis system. The model was developed incrementally alongside data collection and prototype construction, followed by system functionality testing.

Collaboration between students from the Faculty of Engineering and the Faculty of Medicine served as a major strength of the program. Engineering and information technology expertise drove the development of the device, system, and data processing, while medical insights ensured a proper understanding of the health-related aspects central to the innovation.

Following the development and testing phases, the team aims to produce specific outputs, including development standards, activity reports, and Intellectual Property Rights (IPR) registration. The project results will subsequently be disseminated through scientific publications and social media to showcase the students' innovation.

The success of the Udayana University team in securing PKM-KC 2026 funding highlights the importance of interdisciplinary collaboration in driving innovation. The Udayana University Faculty of Engineering continues to encourage students to cultivate creativity and research skills, and to leverage technology in creating works that benefit society.

Through the development of this deep learning-integrated lymphatic cancer detection device, the team hopes to produce an innovative prototype with significant potential for further development, thereby contributing to the field of health technology as part of Udayana University students' efforts.