The Mathematics Study Program, Faculty of Science and Technology, UIN Sunan Kalijaga Yogyakarta, held a public lecture on Thursday, February 26, 2026. The event, themed "Mathematical and Statistical Analysis to Support Planning and Decision-Making," was enthusiastically attended by students. The event took place on the 2nd floor of the Convention Hall, UIN Sunan Kalijaga Yogyakarta.

The event opened with remarks from the Dean of the Faculty of Science and Technology, Prof. Dr. Khurul Wardati, M.Si. In her remarks, she emphasized the importance of mastering mathematical and statistical analysis in today's data era. She stated that these skills are strategic tools for students in supporting data-driven planning and informed decision-making.

The public lecture featured two speakers. The first speaker, Ir. Endang Tri Wahyuningsih, MM, Acting Head of the Central Statistics Agency (BPS) of the Special Region of Yogyakarta, outlined the role of Statistics Indonesia (BPS) in supporting national development. She explained how accurate and reliable statistical data is a crucial foundation for the government in formulating development policies across various sectors.

Next, the second speaker, Dr. Mohammad Farhan Qudratullah, M.Sc., a lecturer in the Mathematics Study Program at UIN Sunan Kalijaga Yogyakarta, presented a presentation on Islamic stock analysis. In his presentation, he outlined the basic concepts and applications of mathematical and statistical analysis in making investment decisions in accordance with Islamic principles.

Moderated by Salsabila Ramadhani, a student in the Mathematics Study Program at UIN Sunan Kalijaga Yogyakarta, the event proceeded in an orderly and interactive manner.

Following the presentation, the event continued with a discussion and question-and-answer session. Students demonstrated high enthusiasm, asking various questions to the two speakers, particularly regarding the use of statistical data and research opportunities in Islamic financial analysis. Through this activity, students are expected to gain a deeper understanding of the importance of integrating mathematics and statistics in supporting data-driven planning and decision-making in various fields.