Wednesday, 28th October, 2026 9:00 AM
Wednesday, 28th October, 2026 12:30 PM
Student Center Hall of Universitas Sumatera Utara
The Applied Bachelor's Degree in Statistics, Faculty of Vocational Education, USU, Holds a Guest Lecture on Data Analysis-Based Regional Statistical Partnerships
Medan, October 20, 2026 – The Applied Bachelor's Degree in Statistics, Faculty of Vocational Education, Universitas Sumatera Utara (USU), held a Guest Lecture with the theme “Data Analysis-Based Regional Statistical Partnerships to Support Development Planning in Karo Regency” on Wednesday, October 28, 2026, starting at 09:00 WIB until completion, at the Student Center Hall of Universitas Sumatera Utara.
This activity represented a collaboration between the Applied Bachelor's Degree in Statistics, Faculty of Vocational Education, USU, and the Central Statistics Agency (BPS) of North Sumatra Province, aiming to enhance students' understanding of the importance of utilizing statistical data to support regional development planning and policy-making.
The guest lecture featured three speakers from the Central Statistics Agency of North Sumatra Province, namely Hot Bonar, SST., M.Stat., Aida Meimela, SST., M.Stat., and Deltha A. Lubis, SST., M.Stat., who are Associate Expert Statisticians. The event also involved Asima Manurung, S.Si., M.Si., Head of the Applied Bachelor's Degree in Statistics, Faculty of Vocational Education, USU, and Afdhal Ahkrizal, S.Si., M.Mat., a lecturer in the Applied Bachelor's Degree in Statistics, as the moderator.
This activity, intended for students of the Applied Bachelor's Degree in Statistics from the 2024, 2025, and 2026 cohorts, is expected to broaden their knowledge of the application of statistical data analysis in identifying regional potential, formulating data-driven policies, and supporting more effective and sustainable regional development.
The organization of this guest lecture also demonstrates the commitment of the Applied Bachelor's Degree in Statistics, Faculty of Vocational Education, USU, to strengthening synergy with government agencies and improving student competencies so that they can apply statistical knowledge to address various development challenges in society.
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