The importance of implementing a quantitative approach, including statistics and econometrics, in identifying and evaluating the behavior of business actors that have the potential to violate the principles of fair competition. Revealed by Dr. Eugenia Mardanugraha, S.Si., M.E. Commissioner of Komisi Pengawas Persaingan Usaha (KPPU) who is also a Lecturer at the Faculty of Economics and Business, University of Indonesia. In the guest lecture “Statistics and Data Science in Business Competition Analysis” held by the Data Science Research Group and MOCO, Department of Mathematics, FMIPA UNEJ (7/7). Dr. Eugenia also explained that Law No. 5 of 1999 is the basis for KPPU to prevent monopolistic practices, cartels, and unfair market control. The guest lecture was held offline at the UNEJ Entrepreneurship Building and online on the UNEJ FMIPA Youtube channel.
Previously at the opening, the Dean of FMIPA UNEJ, Prof. Drs. Dafik, M.Sc., Ph.D. invited the participants to get to know KPPU and the role of statistics and data science in business competition. “It is an honor for FMIPA, Dr. Eugenia from KPPU is pleased to attend and give a guest lecture for lecturers, students, practitioners in reviewing the role of statistics and data science for business competition analysis,” he said. A similar thing was also conveyed by Dr. Kiswara Agung Santoso, S.Si. M.Kom. Head of the Mathematics Department of FMIPA who hopes that similar activities can be held often to increase students’ insight. 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.