Early Detection of Breast Cancer: PKM-RE FMIPA Receives BELMAWA DIKTI Funding 2025

PKM RE team from the Faculty of Mathematics and Natural Sciences (FMIPA) University of Jember, with the theme “Optimalisasi Rekonstruksi Citra Electrical Tomography dengan Pendekatan Bayesian untuk Deteksi Dini Breast Cancer” has successfully secured funding for the 2025 PKM program. An online Progress Assessment of the 2025 PKM Program Implementation took place at the Mathematics Laboratory of the FMIPA University of Jember on October 24th. “We will deliver a presentation to assess the progress of the PKM program, particularly the research results conducted by the team,” said M. Ziaul Arif, S.Si., M.Sc., Ph.D., the PKM RE FMIPA supervisor. He added that the team had prepared a research presentation with guidance from the UNEJ PKM task force and the Student Affairs Department at the University of Jember.

The “Breast Cancer” RE PKM team consists of Fyoliena Yolandha from Mathematics as team leader, Faiza Nuril Husna and Umi Khoifatus Sholihah also from Mathematics, and Ulul ‘Azmi and Mohammad Setiawan Wibisono from Faculty of Computer Science (FASILKOM). Fyoliena Yolandha, as she is familiarly known, stated that early detection of breast cancer is key to increasing a patient’s chances of recovery. “Through this PKM, we developed an optimized reconstruction of Electrical Tomography (ET) images using a Bayesian approach to help detect breast cancer early more quickly, accurately, and affordably,” she explained. Using the Bayesian method in ET can improve the quality of internal breast images.

She further stated that this method will minimize interpretation errors and support non-invasive examinations for early cancer detection. “In an effort to improve the accuracy of early breast cancer detection, our team developed an Electrical Tomography (ET) simulation, modeled the breast domain, performed meshing using the Finite Element Method (FEM), and determined electrode positions to obtain accurate measurement data,” she explained. A Bayesian approach was used to reconstruct internal breast images, improving visualization quality, reducing noise, and increasing the accuracy of abnormal area detection.

With a spirit of innovation, the PKM-RE FMIPA UNEJ team hopes that the research findings will be a concrete step for students in developing non-invasive, rapid, and affordable technology for early breast cancer detection in Indonesia. The field of study is PKM-RE, the Student Creativity Program for Exact Research. In-depth research based on science and technology in the exact sciences aims to uncover new information. It focuses on causal relationships, design, and identification of active compounds. The final report is scheduled to be uploaded by November 3, 2025, and the Pekan Ilmiah Mahasiswa Nasional (PIMNAS) will be held on November 23-28, 2025, at Hasanuddin University, Makassar.