Building Artificial Intelligence Algorithms to Help Human Work Effectively

Authors

  • Sugiyatno Sugiyatno Universitas Bhayangkara Jakarta Raya, Jakarta, Indonesia Author
  • Ridwan Ridwan Sekolah Tinggi Teknologi Pekerjaan Umum, Jakarta, Indonesia Author

Keywords:

Artificial Intelligence, Task Scheduling, Human-Machine Collaboration, Manufacturing, AI Algorithms

Abstract

This study aims to develop Artificial Intelligence (AI) algorithms that can effectively assist human work across various industrial sectors. By leveraging AI's ability to automate routine tasks, support decision-making, and enhance human-machine collaboration, this research demonstrates AI's potential to improve work efficiency and productivity. The study tests the implementation of AI algorithms in three key industries: manufacturing, healthcare, and customer service, focusing on optimizing task scheduling, enhancing decision-making quality, and improving human-machine collaboration. The results show that the implementation of AI can reduce task completion time, improve diagnostic accuracy in healthcare, speed up customer response times, and increase worker satisfaction. In the manufacturing sector, task completion time decreased by up to 41%, while in healthcare, diagnostic accuracy improved by 17%. Furthermore, worker satisfaction significantly increased after AI implementation, with 56% of workers reporting being "Highly Satisfied" with AI collaboration, compared to 30% before implementation. It is expected that the findings of this research will provide insights into how AI can enhance work quality and efficiency in the workplace, while supporting workers in completing more complex and creative tasks.

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Published

2025-06-14

Issue

Vol. 1 No. 1 (2025): Artificial Intelligence and Robotic Journal (July - Desember 2025)

Section

Articles

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