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All Journal The Indonesian Journal of Computer Science
Fitriani, Anita Nur
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Computer Science & IT Electrical & Electronics Engineering Engineering

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IT Team Project Management Transformation Plan for TIC Company’s IT Division Fauzan Aldiansyah; Raharjo, Teguh; Fitriani, Anita Nur
The Indonesian Journal of Computer Science Vol. 13 No. 5 (2024): The 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.v13i5.4413

Abstract

Nowadays, organizations are increasingly reliant on information technology to maintain efficient and effective internal systems, stay competitive, and meet the evolving needs of their customers. However, organizations facing challenges often include delays in project delivery, difficulties in managing workflows, and issues with accurately tracking progress and performance. The Information Technology Division of one of the testing, inspection, and certification companies in Indonesia is responsible for application development but frequently encounters operational issues such as development delays, unaddressed requests, difficulties in tracking project timelines and completions, and unclear job description alignments. This study examines Waterfall, Kanban, and Scrum Agile methodologies through case studies and Design Science Research Methodology to address these issues. Scrum Agile, with its principles and practices, is selected as the preferred solution for resolving these recurring problems. The research proposes transitioning project management to Scrum Agile methods and demonstrates how these methods effectively address several existing challenges. This approach results in the development of a new system that implements Scrum Agile for project management within the department. This research can enhance the efficiency and effectiveness of application development and improve project visibility and control for the organization. Additionally, it provides learning through comparative analysis to identify appropriate new methods and systems based on the case study.
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): The 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.
Co-Authors Fauzan Aldiansyah Lumbanraja, Harry Leonardo Raharjo, Teguh Yudhanto, Iman Alfathan