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Critical Success Factors for the Implementation of an EDRMS in the Government of The Gambia: A PMBOK 7th Edition Approach Jallow, Fatoumatta Binta; Raharjo, Teguh; Trisnawaty, Ni Wayan
The Indonesian Journal of Computer Science Vol. 14 No. 2 (2025): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i2.4775

The successful implementation of an Electronic Document and Records Management System (EDRMS) in the public sector faces significant challenges, particularly in developing countries like The Gambia. Poor system integration, data security risks, resistance to change, and lack of leadership support hinder adoption. This study applies the PMBOK 7th Edition framework to identify critical success factors (CSFs) for EDRMS implementation. Using a Systematic Literature Review (SLR), this research analyzes key factors, including system compatibility, cybersecurity, legal compliance, and stakeholder engagement. Findings indicate that a structured project management approach enhances adoption by ensuring effective integration, risk mitigation, and user acceptance. The study provides practical recommendations for policymakers and IT managers to optimize digital record management strategies. Future research should explore case studies and emerging technologies such as AI and blockchain to strengthen EDRMS adoption.

Investigasi Tantangan dalam Penerapan Tata Kelola Keamanan Informasi di Sektor-Sektor Utama: Analisis Komparatif Lintas Negara Saraswati, Karisa; Purwandari, Betty; Trisnawaty, Ni Wayan
The Indonesian Journal of Computer Science Vol. 14 No. 2 (2025): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i2.4637

This study investigates the challenges of implementing information security governance across countries. Initial analysis was carried out from cases in Indonesian organizations. Using Kitchenham’s systematic literature review to identify challenges and information security governance expert interviews to validate the result, the research analyzes thirty-four issues and compares them with those in other developing and developed countries. The objective is to identify common challenges, highlight differences, and propose recommendations for improvement. Findings reveal that Indonesia faces difficulties that are similar to those of other developing nations, such as limited leadership support and resource constraints. In contrast, developed countries struggle with overlapping regulations and maintaining compliance despite having stronger frameworks. The study emphasizes the importance of cohesive frameworks, enhanced training, and management support to improve governance practices. These results provide actionable insights for policymakers and organizations to strengthen information security governance and address the increasing complexity of global cybersecurity challenges.

Risk Management in IT Projects for Digital Banking: A Case Study of an Indonesian State-Owned Bank Wibowo, Aji Prastio; Raharjo, Teguh; Trisnawaty, Ni Wayan; Muhamad, Gilang Aulia; Faridy, Azka
Applied Information System and Management (AISM) Vol. 8 No. 2 (2025): Applied Information System and Management (AISM)
Publisher : Depart. of Information Systems, FST, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aism.v8i2.46123

The increasing use of information technology in the banking industry has made it more difficult to manage risks in the digital projects of state-owned banks. This study aims to examine the risk management processes of a state-owned mortgage bank in Indonesia and how it manages the information technology risks in the digital banking project lifecycle. This qualitative research is based on content analysis of forty-three risk assessment documents, with thematic coding using ATLAS.ti. This research was further enriched through expert interviews and a quantitative survey conducted among 38 project stakeholders. Risks are defined in a hierarchical classification and mapped to project phases using the PMBOK. Identifying operational, compliance, and third-party risks is most pertinent in the execution and post-implementation phases. Additionally, there are pressing concerns, such as the potential for cyber threats, non-compliance with applicable laws and regulatory frameworks, integration issues, over-reliance on service vendors, and systemic dependence on external vendors. In this case, the study integrates PMBOK, ISO 31000:2018, and the insights of seasoned practitioners to create a singular holistic mitigation strategy. It comprises a risk prioritization matrix, phased actionable treatment plans for each defined stage, and robust governance and responsiveness enhancement mechanisms for high-risk reactive IT environments. The guidance is triangulated with sector-specific intelligence, thereby underscoring proactive risk governance through communication, vendor due diligence, dynamic control, and real-time accountability across boundaries scaffolding. Further single-initiative case studies, multi-institutional case studies, evolving longitudinal risk studies, and the application of AI and blockchain for predictive and autonomous risk steering in digital finance could enhance and refine this work.

An Integrated IT Governance and Project Management Framework for Resource-Constrained Universities in Timor-Leste Trisnawaty, Ni Wayan; Raharjo, Teguh; Soares, Domingas
Applied Information System and Management (AISM) Vol. 8 No. 2 (2025): Applied Information System and Management (AISM)
Publisher : Depart. of Information Systems, FST, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aism.v8i2.46689

This study designed and validated an integrated information technology governance (ITG) and project management strategy for resource-constrained universities in developing countries. A mixed-methods approach combined a Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA)-guided systematic review, three criterion-based elite interviews at a private university in Timor-Leste, and expert validation to refine the model. The framework operationalized ISO/IEC 38500 principles as governance guardrails across the PMBOK 7th Edition performance domains, linking decision rights, escalation paths, and conformance duties to day-to-day delivery routines. Findings indicated that the integration clarified accountability, mitigated the mum effect through time-boxed escalation and red-flag protocols, supported phased low-bandwidth service deployment, and aligned institutional priorities with budget and capacity constraints. This study introduced a governance–execution fit mechanism that made governance actionable in resource-constrained higher education settings. It also provided policy recommendations for university leaders and regulators: formalize an IT Steering Committee (ITSC) by decree, embed ISO/IEC 38500 guardrails into portfolio and project life cycles, mandate lightweight governance artifacts (charters, responsible–accountable–consulted–informed (RACI) matrices, risk registers, and decision logs), and adopt phase-gated funding with targeted capability building. These measures strengthen feasibility, scalability, and strategic adoption across comparable contexts.

Transforming Project Management with Artificial Intelligence: Bibliometric Analysis and Systematic Literature Review Muhammad, Fathan; Raharjo, Teguh; Trisnawaty, Ni Wayan
Jurnal Informatika Ekonomi Bisnis Vol. 8, No. 1 (March 2026)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v8i1.1359

Despite the growing importance of project management to ensure organization success, the rate of project failures remains high, which indicates the need to apply modern methods. Latest innovations in Artificial Intelligence (AI) have been used to address challenges in the field. This study aims to conduct Bibliometric Analysis and Systematic Literature Review (SLR) to investigate the implementation of AI in project management, challenges faced, and the impact of the results. The study identifies four major trends where AI is applied within project management: prediction and monitoring, work automation, interaction and collaboration through immersive technologies, and knowledge management enhancement. The study encountered several challenges, including high implementation costs, a lack of senior management commitment, cultural resistance, limited access to real-time data, strategy misalignment, and data privacy concerns, all of which posed barriers to the study. On the other hand, the results show that the use of AI has various impacts, including increased productivity, better decision-making, and higher project success rates. This study covers AI in project management over the past recent five years as a novelty, offers a comprehensive classification of application, challenges and impacts, and fills the research gap left by the previous study. By bringing these insights together, this study contributes to deeper understanding of how AI is transforming project management and provides guidance for future implementations.

Transforming Project Management with Artificial Intelligence: Bibliometric Analysis and Systematic Literature Review Muhammad, Fathan; Raharjo, Teguh; Trisnawaty, Ni Wayan
Jurnal Informatika Ekonomi Bisnis Vol. 8, No. 1 (March 2026)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v8i1.1359

Despite the growing importance of project management to ensure organization success, the rate of project failures remains high, which indicates the need to apply modern methods. Latest innovations in Artificial Intelligence (AI) have been used to address challenges in the field. This study aims to conduct Bibliometric Analysis and Systematic Literature Review (SLR) to investigate the implementation of AI in project management, challenges faced, and the impact of the results. The study identifies four major trends where AI is applied within project management: prediction and monitoring, work automation, interaction and collaboration through immersive technologies, and knowledge management enhancement. The study encountered several challenges, including high implementation costs, a lack of senior management commitment, cultural resistance, limited access to real-time data, strategy misalignment, and data privacy concerns, all of which posed barriers to the study. On the other hand, the results show that the use of AI has various impacts, including increased productivity, better decision-making, and higher project success rates. This study covers AI in project management over the past recent five years as a novelty, offers a comprehensive classification of application, challenges and impacts, and fills the research gap left by the previous study. By bringing these insights together, this study contributes to deeper understanding of how AI is transforming project management and provides guidance for future implementations.

Understanding Project Complexity Influences on Complex IT Project Success Rizky, Fajar; Raharjo, Teguh; Trisnawaty, Ni Wayan
Journal of Information Systems Engineering and Business Intelligence Vol. 12 No. 1 (2026): February
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar

Background: The increasing complexity of IT projects in government organizations poses significant challenges for civil servants managing them. Previous studies suggest that complexity encompassing organizational, technological, and administrative dimensions can significantly affect IT project success. However, the specific impact of each complexity type on project innovation and success in the public sector, particularly in Indonesia, remains underexplored. Objective: The study investigates how project complexity affects the success of IT projects in Indonesia's public sector, focusing on civil servant's perspectives. The need arises from challenges in managing complex projects, particularly in organizational, technological, and administrative dimensions. Methods: This quantitative research employed Partial Least Squares Structural Equation Modeling (PLS-SEM) to analyze survey data collected from 139 Indonesian civil servants. The survey used a Likert-scale questionnaire to measure the impact of project complexity on IT project success through the lens of project innovation. Results: The study revealed that organizational and technological complexities are crucial in fostering innovation within IT projects, ultimately enhancing their success. The findings indicate that when project teams effectively navigate organizational structures and adapt to technological challenges, they can cultivate an innovative environment that improves project outcomes. Administrative complexity does not significantly influence project innovation, indicating that rigid bureaucratic processes may fail to support creative problem-solving or achieve project objectives. Overall, the study underscores the importance of managing key aspects of project complexity to achieve higher success rates in complex IT projects within Indonesia’s public sector. Conclusion: The study emphasizes managing organizational and technological complexities to enhance innovation and project success in Indonesia’s public sector. The insignificant impact of administrative complexity suggests that rigid bureaucracy may hinder innovation. Future research should explore strategies to simplify administration and improve project management in government institutions. Keywords: Project Complexity, IT Project Success, Civil Servants, Public Sector, PLS-SEM

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