Division: Theoretical Physics

Education:

Masters, Institut Pertanian Bogor (2009)

Ph.D, Institut Teknologi Bandung (2012)

Email: sittiyani[at]apps.ipb.ac.id

Links:

The Monte Carlo (MC) method uses random number generators and probability density functions to calculate statistical behaviors. In radiation therapy, MC simulations are mostly used to simulate the interaction and transport of particles with the treatment apparatus, the patient, or imaging devices. While the MC method offers high accuracy, it is often too computationally expensive for routine clinical use. Nevertheless, over the past decades, MC simulations have played a major role in many developments. In our study, some open source and registered software was used to verify dose in virtual phantom and CT-image data with different radiotherapy techniques including 3D-CRT, IMRT, and VMAT and compared with the experimental data from hospitals. Testing of some shielding materials for particulate radiation (photon, neutron, and proton) protection was also conducted. MATLAB and python programming languages were applied to analyze the output of Monte Carlo simulations and results interpretation. In 2021, Dr. Sitti Yani became an instructor for the python programming training for students and professionals held by the ministry of communication and information, Indonesia.

Research field: Monte Carlo, Radiotherapy, Radiodiagnostics, Medical Physics