Lumbanraja, Harry Leonardo
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Implementasi Kecerdasan Buatan dalam Manajemen Proyek Agile dalam Mengatasi Tantangan dan Memaksimalkan Dampak Lumbanraja, Harry Leonardo; Raharjo, Teguh; Fitriani, Anita Nur
The Indonesian Journal of Computer Science Vol. 13 No. 4 (2024): Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i4.4155

Abstract

The Agile methodology, with an 80% adoption rate, often faces challenges leading to project failures. This study investigates using artificial intelligence (AI) to overcome these challenges through a systematic literature review of 44 papers. It examines AI's impact on key Agile phases: envision, speculate, explore, adapt, and close. Findings highlight AI's critical role in improving project outcomes by addressing implementation challenges. AI tools aid in risk assessment and project selection during planning, enhance effort estimation and task allocation in speculation, improve team communication and technical issue resolution in exploration, optimize systems in adaptation, and provide valuable insights in closure. The paper offers guidance on effective AI integration to enhance Agile Project Management success.