Undip FSM Statistics Department Presents UNDIP GLOBAL CLASSROOM (UGC) Class in Capita Selecta Computer Statistics and Data Science

On Tuesday, May 5, 2026, the Department of Statistics, Faculty of Science and Mathematics, Diponegoro University held a guest lecture activity in the offline Undip Global Classroom (UGC) program at the Statistics Laboratory B302 FSM Undip. The activity which took place from 13.00 to 15.30 WIB presented international speakers, namely Dr. Donata D. Aculla, professor from the Department of Computer Science, College of Information and Computing Sciences, University of Santo Tomas, Philippines. This guest lecture is part of the Kapita Selekta course in Computational Statistics and Data Science (3 credits), which aims to provide global insights to students related to the latest developments in the field of data science. In his presentation, Dr. Donata discussed one of the important techniques in data mining, namely association analysis, which plays a role in identifying patterns of interconnectedness between large amounts of data. He emphasized that association analysis is very important in the era of big data because it can help various sectors, from retail businesses to healthcare, in understanding the hidden relationships in data so that it can support more precise and data-driven decision-making. Furthermore, Dr. Donata described the A priori algorithm as a fundamental method in association analysis that is used to find combinations of items that frequently appear together. The algorithm works iteratively on the principle that if a combination of items does not meet a certain threshold, then the larger combinations containing that item will also be irrelevant, making the search process more systematic. Although classified as a classical algorithm, a priori remains an important basis for understanding how association rules are formed through measures such as support and confidence. The enthusiasm of the students was seen during the activity, especially in the discussion about the real application of the A priori algorithm and its relevance in various fields. This activity is also a manifestation of the commitment of the Department of Statistics FSM Undip in improving the quality of international-based learning and equipping students with data analysis competencies that are increasingly needed in the digital era.