Data Science Research Group FMIPA UNEJ holds Book Review of Variable Selection

The Data Science Research Group (KeRis DSc) held a book discussion on Variable Selection in Predictive Modeling for Statistics and Machine Learning on December 2nd. The event featured Dr. Bagus Sartono, S.Si., M.Si., Chairman of FORSTAT and Head of the Statistics Department at IPB University, and Prof. Dr. Vita Ratnasari, S.Si., M.Si., a Professor of Statistics at the Sepuluh Nopember Institute of Technology. The event was held at the UNEJ Entrepreneurship Building and was opened by the Dean of the Faculty of Mathematics and Natural Sciences (FMIPA) at UNEJ and President of IndoMS, Prof. Drs. Dafik, M.Sc., Ph.D. In his speech, the Dean praised KeRis DSc for initiating the book discussion to promote a culture of mathematical literacy. “This is a very interesting book, discussing machine learning which will eventually lead to ‘black box’ models,” he said.

The Dean explained that the black box approach could speed up coding when developing application programs. “I hope this book discussion will be useful for the advancement of mathematics, especially statistics, and inspire other research groups in FMIPA,” he added. The book *Variable Selection* is written by Bagus Sartono, Alfian Futuhul Hadi, Evi Ramadhani, and Akbar Rizki. Prior to the discussion, Dr. Mohamat Fatekurohman, S.Si., M.Si., Chair of KeRis DSc, expressed his appreciation to the team for organizing the event in such a short time. He mentioned that after a period of inactivity, DSc is starting up book discussions again, with plans for guest lectures and seminar series in the future.

The main part of the event started with an introduction (book synopsis) by Dr. Alfian Futuhul Hadi, S.Si., M.Si., one of the authors and the moderator of the discussion. “The book begins by discussing the modeling process and variable selection, along with several regression and classification modeling algorithms,” he explained. The discussion then moved on to various variable selection methods, categorized into filtering, wrapper, and embedded approaches. The event was held both in-person and streamed live on YouTube.

Dr. Bagus Sartono, S.Si., M.Si. elaborated on the content of the book. He said that the book serves as a practical guide for anyone interested in learning about variable selection. “This book is a practical guide for those who want to understand variable selection in the context of statistics and machine learning,” he stated. The goal is for the book to be a useful resource for researchers, academics, and practitioners such as data analysts. “The book presents alternative approaches to variable selection, focusing on the importance of variables, especially in machine learning modeling,” he added.

Prof. Dr. Vita Ratnasari, S.Si., M.Si. shared her views on the book. She believes that the book successfully captures the interest of readers in both statistical modeling and machine learning. “It would be even more engaging if the data presented had links to enhance readers’ enthusiasm,” she suggested. Free copies of the book were given to those who asked questions during the Q&A session. The event also featured several other books produced by members of the data science research group.

Book Review Documentation