Kohesi: Jurnal Sains dan Teknologi

Articles

Vol. 10 No. 7 (2025): Kohesi: Jurnal Sains dan Teknologi, ISSN 3025-1311

Analisis Penerapan Artificial Intelligence dalam Optimalisasi Alur Kerja Manajemen Proyek Berbasis Agile

Submitted
December 30, 2025
Published
2025-12-30

Abstract

The rapid development of Artificial Intelligence has significantly contributed to improving the effectiveness of project management, particularly in Agile-based work environments. One of the commonly used approaches for managing Agile workflows is the Kanban method, which emphasizes task visualization and workflow control. However, in practice, the Kanban method still faces several challenges, such as limited capability in predicting task completion time and identifying workflow bottlenecks. Therefore, this study aims to analyze the application of Artificial Intelligence in optimizing Agile-based project management workflows using the Kanban approach. This research employs a descriptive qualitative method through a literature review of relevant national and international journals, as well as a conceptual analysis of Kanban workflow stages, namely To Do, In Progress, and Done. The analysis focuses on the role of Artificial Intelligence in supporting task prioritization, completion time prediction, and bottleneck identification based on historical project data. The results indicate that the integration of Artificial Intelligence into Kanban-based workflow management enhances process visibility, optimizes task distribution, and accelerates project completion. Furthermore, the combination of Artificial Intelligence and the Kanban method supports more accurate and data-driven decision-making in Agile project management. This study is expected to serve as a reference for the development of adaptive and efficient project management systems utilizing intelligent technologies.

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