Mahasiswa Sains Data ITERA Berkunjung ke Industri di Jakarta
DOI:
https://doi.org/10.55123/abdikan.v3i3.4042Keywords:
Industry Visit, Data Science, ITERA, Jakarta, Field ExperienceAbstract
The Industrial visit of Data Science students from Institut Teknologi Sumatera (ITERA) to various industries in Jakarta is part of an educational program that aims to bridge theory and practice in the field of data science. The activity lasted for a week, involving more than 38 students and 3 lecturers. The participants visited several leading companies in the technology, telecommunications, finance and logistics sectors. The main purpose of the visit was to provide students with practical insights into the application of data science in the industrial world, expand their professional network, and introduce them to the real challenges companies face in managing and analyzing data. During the visit, students had the opportunity to discuss with data practitioners, attend seminars and workshops organized by the company. They learned how data is used to support decision-making, improve operational efficiency, and create product innovation. In addition, this visit also opened up opportunities for internships and research cooperation between ITERA and related industries. Through this activity, students not only gained a deeper understanding of data science, but were also motivated to develop the analytical and technical skills needed in their future careers. This visit is expected to be a continuation to build closer collaboration between academia and industry in the development of data science in Indonesia
Downloads
References
Putri, A. D., & Saputra, T. (2023). Perkembangan Terkini dalam Pembelajaran Mesin: Tren dan Aplikasi di Indonesia. Jurnal Sains dan Teknologi, 15(2), 87-104
Setiawan, R., & Amelia, N. (2023). Implementasi Teknologi Big Data dalam Meningkatkan Daya Saing Industri di Indonesia. Jurnal Riset dan Inovasi, 11(1), 55-70.
Nasution, R., & Nugroho, S. (2022). Pengaruh Big Data terhadap Efisiensi Operasional di Industri Teknologi. Jurnal Manajemen Teknologi, 21(3), 112-128.
Wardani, K., & Suryadi, E. (2022). Analisis Peran Data Science dalam Pengembangan Kebijakan Publik. Jurnal Administrasi Publik, 12(1), 33-47.
Verma, H., & Singh, A. (2021). Big Data Analytics in the Era of AI: A Study of Tools and Techniques. International Journal of Data Science, 5(1), 1-15
Maharani, S., & Setiawan, B. (2021). Implementasi Sains Data dalam Pengambilan Keputusan di Sektor Publik: Studi Kasus di Indonesia. Jurnal Teknologi dan Sistem Informasi, 9(1), 45-59.
Roger D. Peng. (2021). Data Science: The Impact of Statistic. Harvard Data Science Review. https//doi.org/10.1162/99608f92.5cd428ed
Ramdani, A., & Widodo, D. (2020). Pemanfaatan AI dan Analisis Data dalam Industri Kreatif di Jakarta. Jurnal Ilmu Komputer dan Informasi, 14(2), 134-148.
Provost, F., & Fawcett, T. (2013). Data Science for Business: What You Need to Know About Data Mining and Data-Analytic Thinking. O'Reilly Media.
Han, J., Pei, J., & Kamber, M. (2011). Data Mining: Concepts and Techniques. Morgan Kaufmann.
Russel, S., & Norvig, P. (2010). Artificial Intelligence: A Modern Approach. Prentice Hall.
Wojciech Samek, Grégoire Montavon, et al. (2020). Explainable AI: Interpreting, Explaining and Visualizing Deep Learning: Neural Networks. https//doi.org/10.1016/j.neunet.2019.09.003
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Josua Alva Viando Panggabean, Victor Asido Elyakim P
This work is licensed under a Creative Commons Attribution 4.0 International License.