Edu Data Mining Webinar #2 with the theme Data-Driven Learning Analytics

JPPM Banten – The Research and Community Service Network (JPPM) of Serang City, Banten Province again held a scientific activity entitled Webinar Edu Data Mining #2 with the theme Data-Driven Learning Analytics on Saturday, 09 May 2026 online via Zoom Meeting. This activity is a scientific discussion space that brings together academics, researchers, lecturers, students, teachers and educational practitioners to discuss the use of data-based approaches to understand students' learning processes.

This webinar raises the perspective of Educational Data Mining and Learning Analytics as an innovative approach in developing more adaptive, personalized and evidence-based learning (evidence-based learning). Through this activity, participants gain insight into the application of data mining techniques to analyze learning patterns, identify multimodal learning styles, and detect students' academic risks.

The activity begins with participant registration at 07.30 WIB and continues with the opening and singing of the song Indonesia Raya. The activity speech was delivered by the representative of IndoCEISS Collaborator, namelyDr. Helna Wardhana, M. Kom. In his speech, he conveyed the importance of using data in the world of education to support more effective decision making and improve the quality of learning in the digital era. He also expressed his appreciation to all parties involved in this collaborative activity, especially IndoCEISS West Nusa Tenggara, East Kalimantan and South Papua Provinces who also supported the holding of the webinar nationally.

In the material presentation session, the webinar presented four speakers from various universities and international institutions. The first material was delivered byAssoc. Prof. Dr. Rina Oktaviyanthi, M.Pd from Serang Raya University with the topic “Clustering Cognitive Load Patterns in Mathematics Learning”. In his presentation, he explained how clustering techniques can be used to identify patterns of students' cognitive load so that the mathematics learning process can be designed more effectively and according to students' needs.

The second material was delivered byDr. Tb Ai Munandar, S.Kom., M.T from Bhayangkara University, Jakarta Raya with the theme “Clustering for Multimodal Learning Style”. This session discusses the application of clustering techniques in identifying students' multimodal learning styles as an effort to support the development of a more personalized and adaptive learning system.

Next, Herison Surbakti, Ph.D from Rangsit International College, Rangsit University Thailand presented material entitled “Smart Learning System: Data Mining for Academic Risk Detection”. This material highlights the use of data mining technology in building intelligent learning systems that are able to detect student academic risks early so that educational institutions can make appropriate interventions.

The final material was delivered byAssoc. Prof. Dr. Hairani, S.Kom., M.Eng from Bumigora University with the topic "Handling Class Imbalance Based on a Data Level Approach". He explained various approaches in dealing with data imbalance problems in the classification process so that the results of educational data analysis become more accurate.

This webinar activity was attended by 241 participants who came from various academic circles, researchers, teachers, students and educational practitioners from various regions in Indonesia. The participants' enthusiasm was visible during the interactive discussion and question and answer sessions. In the final session, the discussion focused on the material presented by the first, second and third presenters. The participants actively expressed questions, views and shared experiences related to the application of data mining in the world of education and the development of learning analytics.

Through this Edu Data Mining #2 Webinar activity, JPPM together with IndoCEISS and regional collaborators hope to continue to encourage academic collaboration and research development in the fields of Educational Data Mining and Learning Analytics to support the transformation of technology and data-based education in Indonesia.

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About JPPM
The Research and Community Service Network (JPPM) of Serang City, Banten Province is a forum for academic collaboration that focuses on research development, community service and increasing academic capacity through various scientific and training activities.