Avan, S.Si., M.Si., an alumnus of the Mathematics program and a Risk Modeler at Bank Mandiri, began his presentation by discussing the current state of the banking sector, especially in risk management. The talk was part of a guest lecture for the Artificial Neural Networks course with the theme “Credit Risk Modelling” held on December 10, 2024, at the Mathematics Department. With nearly a decade of experience as a risk modeler at Bank Mandiri, Avan shared best and worst practices for building models. Most of the attendees, who were students, paid close attention as they were familiar with the model-building framework, similar to their final thesis projects in the Mathematics Department.
“Next, we’ll discuss issues related to imbalanced datasets and overfitting,” Avan said. These two problems often challenge mathematics students when working on their theses. He explained these issues in a clear and detailed way. The lecture also covered artificial neural networks, which are a popular machine learning model used in risk modeling. The guest lecture was held in a hybrid format, with both students and lecturers from the Mathematics Department of FMIPA UNEJ attending. Continue reading
“Automatic Statistician has been researched around 2016, and I want to share why I came to this direction,” said Dr. Raden Bagus Fajriya Hakim, S.Si., M.Sc. Lecturer of Department of Statistics, Faculty of Mathematics and Natural Sciences, Universitas Islam Indonesia in a Guest Lecture with theme “Making Sense of Data: The Automatic Statistician“. The event was held online by Data Science Research Group, Department of Mathematics, FMIPA University of Jember (15/10). Hakim continued that time and process were needed. “First, we did collection, organization, analysis, interpretation and presentation of data that is manifested in a big data” he said that in this event moderated by Abduh Riski, S.Si, M.Si. a lecturer of tDepartment of Mathematics FMIPA UNEJ. Hakim also presented about problems in big data: Volume, Variety and Variety. In addition, there is a Veracity, accuracy and level of trust in data. “Among 5V which is a problem in big data, the fifth V is Value, most important thing because statisticians must be able to determine the price of a data,” he said, which in this agenda showed activities Department of Statistics, Faculty of Mathematics and Natural Sciences, Universitas Islam Indonesia related to data science. In the data processing process, several tasks that could become job opportunities were also explained. “Data Engineering for the process of data collection and organization, Data Analytic on organizational processes, analysis and interpretation, the last one is Data Visualization on the interpretation and presentation process,” he explained. Hakim also explained the courses that could be implemented in a data science, not only in statistics but also in contact with non-statistical subjects such as programming algorithms or calculus.