Abstract:
The capital market plays an important role in the Indonesian economy by
providing financial instruments such as stocks, bonds, mutual funds, and derivatives that
provide financing for businesses and investments. Despite the importance of the capital
market, participation from Indonesia's productive younger generation is still limited,
creating challenges in realizing the demographic bonus and achieving the Indonesia Emas
2045 dream. The certification and supervision processes in the capital market are
currently still largely manual, resulting in inefficiency and slow professional development.
To overcome this problem, digital transformation through structured document
management, automated supervision, and certification processes is necessary. By
integrating machine learning algorithms and predictive modeling into document
classification, filtering, and information storage systems, efficiency and accuracy in
supervision can be improved. This technological approach not only speeds up the
certification process but also ensures more effective regulation, supports professional
growth, and strengthens the overall contribution of the capital market to the Indonesian
economy.
