Saturday, September 11th, 2021 – Since successfully organizing Online Guest Lecture Series #3 in “Structural Equation Model” theme, the fourth series of Online Guest Lecture activities raised the theme “Big Data Applications in the Field of Science” in order to the Anniversary of the Faculty of Mathematics and Natural Sciences Brawijaya University. Similar to the previous Online Guest Lecture Series, this activity was open for both the academic community in the Statistics Department and Non-Statistics Department. The purpose of this activity is broadened and deepen topics related to data science, particularly the role of Big Data in the fields of Public Policy, Health, and Statistical Modeling Perspectives.
The Online Guest Lecture #4 delivered by three presenters who experts in the field of data science. The first speaker is Setia Pramana, S.Si, M.Sc, Ph.D. who’s the Head of Sub-directorate for Development of Statistical Models in Badan Pusat Statistik (BPS) and as lecturer at the STIS Politeknik Statistika. He brought material of “Big Data for Public Policy: Opportunities and Challenges” topics. Then, the second speaker was Mieke Nurmalasari, S.Si, M.Si, M.Sc. whose Lecturer in Health Information Management at Esa Unggul University. She delivered the material of “Data Science in Healthcare” topics. Finally, the third speaker is Dr. Adji Achmad Rinaldo Fernandes, S.Si, M.Sc. who’s the Head of Simulation and Computing Statistics Laboratory and Lecturer of Statistics FMIPA Brawijaya University. He told about “Data Science: Discourse Network Analysis (DNA) as a Perspective of Statistical Modeling”.
The Online Guest Lecture #4 started at 08.00 a.m. by showing video profile of Statistics Department and second video is Simulation and Computing Statistics Laboratory. Then continued by opening speech the Dean of Faculty of Mathematics and Natural Sciences, Brawijaya University, Prof. Widodo, S.Si., M.Sc., Ph.D.Med.Sc. He hoped this event would be an opportunity to dig up a new thing in Big Data and expanded related disciplines.
The Online Guest Lecture #4 activity was divided into three sessions. The first session was the material of “Big Data for Public Policy: Opportunities and Challenges” by Setia Pramana, S.Si, M.Sc, Ph.D. for 50 minutes. The speaker explained that every case has a different methodology to solve. Data was fundamental things in many fields of study. Data was come from anywhere, such as Crowdsourcing, Web Scraping, Web Crawling, social media, and so on. The challenge now is how to package data both textual and non-textual. However, it can be enjoyed by all levels of society.
The second session was delivered by Mieke Nurmalasari, S.Si, M.Si., M.Sc. for the material of “Data Science in Healthcare” in the next 20 minutes. The speaker talked about the advantages, roles, and applications of data science in the health sector. She also attached the results of her research that utilize the concept of Big Data in her analysis due to the types and amounts of abundance data in the health sector.
The third session was presentation of ” Discourse Network Analysis (DNA) as a Perspective of Statistical Modeling” by Dr. Adji Achmad Rinaldo Fernandes, S.Si, M.Sc. for the last 30 minutes. The speaker showed that data processed through data mining and then information mining. Discourse Network Analysis (DNA) plays a major role in model building of statistical structural modeling where the complexity is high, involving more than one cause and effect. It was caused by real time analysis and data taken from social media, news, and legal products. Then, Dr. Adji also explained about the advantages of robust and flexible statistical concepts.
The Online Guest Lecture #4 activity was a great demand both lecturers and students, the number of registrants reach out 562. The total attendance around 300 participants via Zoom and 52 participants via live streaming Youtube. Many participants actively asked to the whole speaker in the Question-and-Answer session. Participants appreciate this activity and hope that the Statistics Department, Faculty of Mathematics and Natural Sciences Brawijaya University hold this event again with other themes such as Machine Learning, Artificial Intelligence, Big Data, Survival Analysis, Neural Networks, Spatial Analysis, Bayesian, Time Series, and so on. (CML/NSR/LA)