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International Journal of Cyber and IT Service Management (IJCITSM)
Published by Pandawan Sejahtera Indonesia
ISSN : 27971325     EISSN : 2808554X     DOI : https://doi.org/10.34306/ijcitsm
Core Subject : Science,
Computer Science & IT Decision Sciences, Operations Research & Management
International Journal of Cyber and Service Management (IJCITSM) is an international peer-reviewed journal that publishes high quality and refereed papers which reports original research and innovative applications in all areas of Computer Science, Informatics, Electronics Engineering, Communication Network and Information Technologies. Papers for publication in the journal are selected through rigorous peer review, to ensure originality, timeliness, relevance, and readability. The journal also seeks clearly written survey and review articles from experts in the field, to promote insightful understanding of the state-of-the-art and technology trends.
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Sistem Informasi Menejemen
Articles 16 Documents
 1   2 
Search results for , issue "Vol. 5 No. 1 (2025): April" : 16 Documents clear
Integration of Artificial Intelligence in the Financial Sector Innovation, Risks and Opportunities Limajatini Limajatini; Suhendra Suhendra; Greian April Pangilinan; Muhammad Ghifari Ilham
International Journal of Cyber ​​and IT Service Management (IJCITSM) Vol. 5 No. 1 (2025): April
Publisher : International Institute for Advanced Science & Technology (IIAST)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ijcitsm.v5i1.165

Abstract

The integration of AI in the financial sector has inspired significant innovation while introducing new dynamics related to risks and opportunities. The rapid adoption of AI technologies has transformed operational, strategic, and analytical processes, creating substantial potential for growth alongside critical challenges. This study examines the transformative impact of AI on the financial sector, focusing on its innovative applications, associated risks, and opportunities. Key areas of exploration include the enhancement of operational efficiency, the development of innovative financial products, and the mitigation of risks through AIMLdriven solutions. A qualitative approach was employed, involving an extensive review of literature, industry reports, and regulatory frameworks. Thematic analysis was conducted to identify recurring patterns, while triangulation ensured the reliability of findings. Consultations with AI and financial experts further validated the study. The findings reveal that AI innovations, such as intelligent algorithms, big data analytics, and machine learning (ML), enhance operational efficiency, improve decision ML making processes, and strengthen market predictions. However, risks such as data security breaches, model uncertainty, and ethical concerns remain significant. Addressing these risks requires robust governance frameworks, ethical AI design, and compliance with evolving regulatory standards. By addressing risks and leveraging opportunities, the financial sector can optimize the transformative potential of AI, manage challenges effectively, and achieve sustainable growth. This study fills a critical gap in the literature by linking AI integration to practical implications for financial inclusion and risk mitigation, particularly in emerging markets and underserved communities.
Impact of Motivation on Compensation and Discipline at Musi Rawas Public Works Suwarno Suwarno; Irma Idayati; Hardi Mulyono; Dewi Paramita; Efa Ayu Nabila
International Journal of Cyber ​​and IT Service Management (IJCITSM) Vol. 5 No. 1 (2025): April
Publisher : International Institute for Advanced Science & Technology (IIAST)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ijcitsm.v5i1.172

Abstract

This study examines the effects of work discipline and compensation on employee performance, with work motivation as a moderating factor. Addressing critical challenges in public sector HR management, this research aims to understand how these variables interact to influence performance. A quantitative approach was adopted, with data collected from 62 respondents using observation, questionnaires, interviews, and documentation. The analysis methods included simple linear regression, correlation coefficients, t-tests, determination tests, and Moderated Regression Analysis (MRA). The findings reveal significant positive relationships between compensation and employee performance (tcalculate = 3.636 ≥ ttable = 1.670) and between work discipline and employee performance (tcalculate = 4.722 ≥ ttable = 1.670, R = 0.521). Furthermore, work motivation strengthens these relationships, amplifying their overall impact on performance. These results highlight the importance of timely compensation, robust disciplinary practices, and effective motivational strategies. Practical recommendations are provided for HR improvements within the Musi Rawas Public Works Department, and future research is encouraged to explore additional factors such as leadership and organizational culture.
The Role of Artificial Intelligence in Human Capital Management: A Review at PT. Pos Indonesia Sora Baltasar; Tonggo Marbun
International Journal of Cyber ​​and IT Service Management (IJCITSM) Vol. 5 No. 1 (2025): April
Publisher : International Institute for Advanced Science & Technology (IIAST)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ijcitsm.v5i1.175

Abstract

PT. Pos Indonesia is committed to overcoming digital era challenges by implementing strategic transformations, particularly through the adoption of Artificial Intelligence (AI). AI plays a key role in enhancing operational efficiency, service quality, and revenue growth. It optimizes logistics, accelerates courier services, and personalizes customer interactions, contributing to an 18.64% increase in business revenue in 2023, reaching Rp 5,479,12 billion. This growth is driven by AI based automation in supply chain management and customer data analysis. The goal of this research is to explore how PT. Pos Indonesia can address AI implementation gaps and optimize its use to gain sustainable competitive advantages in operations and Human Capital Management (HCM). It also aims to provide strategies for developing human resource management and enhancing efficiency through AI. In HCM, AI improves recruitment, training, and employee development, supporting skill analysis, personalized training, and performance evaluation. This transformation aligns with AKHLAK values, fostering collaboration and adaptability while supporting remote work models for O-Rangers and postal agents via realtime monitoring. AI also helps PT. Pos Indonesia adapt to the evolving e-commerce industry by optimizing delivery routes, predicting demand, and empowering digital platforms like Pospay. Automation improves cost efficiency and customer service, strengthening PT. Pos Indonesia position in the digital logistics and courier services market. Through AI integration in HCM and operations, PT. Pos Indonesia enhances profitability and establishes sustainable competitive advantages, positioning itself as a model for technology driven business innovation in Indonesia logistics and financial sectors.
Facing Global Dynamics with Effective Strategy: A Tasted Organizational Change Management Approach Ronal Aprianto; Chandra Lukita; Asep Sutarman; Richard Andre Sunarjo; Rifqa Nabila Muti; Ellen Dolan
International Journal of Cyber ​​and IT Service Management (IJCITSM) Vol. 5 No. 1 (2025): April
Publisher : International Institute for Advanced Science & Technology (IIAST)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ijcitsm.v5i1.177

Abstract

In an era of rapid globalization and digital transformation, organizations must adopt adaptive strategies to navigate complex market shifts. This study explores a tested Organizational Change Management (OCM) approach to enhance business resilience and sustainability. Using a quantitative research methodology, we conducted a structured survey involving 200 business executives across various industries to analyze the effectiveness of strategic OCM models. The results indicate that organizations implementing structured OCM frameworks experience a 35% increase in operational efficiency, a 28% improvement in employee adaptability, and a 40% reduction in resistance to change. Our study introduces a novel hybrid model, integrating Kotters Change Model with Agile methodologies, ensuring a balance between structured change and adaptive flexlibility. The findings contribute to existing literature by demonstrating how real time data driven decision making enhances the success rate of organizational transformations. This research provides valuable insights for business leaders and policymakers in aligning corporate strategies with global market dynamics, fostering innovation, and maintaining competitive advantages.
Unveiling the Role of SmartPLS and Technology in Analyzing HR Dynamics for Organizational Effectiveness Lista Meria; Andriyansah Andriyansah; Felix Sutisna; Alexander William; Lukita Pasha
International Journal of Cyber ​​and IT Service Management (IJCITSM) Vol. 5 No. 1 (2025): April
Publisher : International Institute for Advanced Science & Technology (IIAST)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ijcitsm.v5i1.179

Abstract

The increasing complexity of organizational environments necessitates a deeper understanding of how management scope and Human Resource (HR) strategies interact to enhance organizational effectiveness. This study examines the integration of management functions and HR practices to address critical gaps in optimizing performance, particularly in dynamic and resource constrained settings. Using the SmartPLS methodology, empirical data was analyzed to evaluate the influence of management scope dimensions and HR strategies on organizational performance. The findings reveal that aligning HR strategies with well defined management functions significantly enhances adaptability, operational efficiency, and employee engagement. Specifically, strategic planning enables organizations to respond effectively to market disruptions, while efficient resource allocation fosters collaboration and productivity. However, challenges such as misaligned priorities, resistance to change, and resource limitations pose significant barriers to successful integration. Addressing these issues through adaptive leadership and innovative management approaches strengthens resilience and promotes sustainable growth. The study underscores the critical role of management HR alignment in leveraging human capital as a competitive advantage. By bridging theoretical frameworks with practical applications, this research provides valuable insights for managers seeking to navigate complex organizational dynamics. The findings highlight the importance of integrating management and HR strategies to foster long term organizational resilience and performance in rapidly evolving business landscapes.
Technology Implementation on Objectives and Key Results in PT. Pos Indonesia 2020-2024 Period Tonggo Marbun; Sora Baltasar; Eeng Ahman
International Journal of Cyber ​​and IT Service Management (IJCITSM) Vol. 5 No. 1 (2025): April
Publisher : International Institute for Advanced Science & Technology (IIAST)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ijcitsm.v5i1.182

Abstract

This study aims to evaluate the implementation of technology in supporting the Objectives and Key Results (OKR) system at PT. Pos Indonesia during the 2020–2024 period, as part of the transformation into a more agile company. In its efforts to undergo business transformation, PT. Pos Indonesia utilizes technology to support various strategic objectives, such as market share growth, digital transformation, operational efficiency, and the development of customer based services. The technologies implemented include digital applications such as PosAja and PosPay, ERP systems, big data analytics, cloud based data digitization, and work process automation. As an agile company, PT. Pos Indonesia focuses on flexibility, cross-team collaboration, and data driven decision making to quickly respond to market changes. Research results show that the implementation of technology successfully increased transparency, collaboration, and accountability in the execution of OKRs. This technology also supports operational efficiency, service modernization, and the optimization of digital-based human resource management. However, challenges such as limited technological infrastructure, adaptation to a technology based work culture, and the need for employee training remain obstacles that need to be addressed. With a comprehensive agile approach, PT. Pos Indonesia has shown initial success in integrating technology to support OKR, while also strengthening its capabilities in responding to challenges and opportunities in the digital era. Continuous efforts are needed to refine the implementation and drive more adaptive innovation in the future
Integration of Artificial Intelligence in the Financial Sector Innovation, Risks and Opportunities Limajatini Limajatini; Suhendra Suhendra; Greian April Pangilinan; Muhammad Ghifari Ilham
International Journal of Cyber ​​and IT Service Management (IJCITSM) Vol. 5 No. 1 (2025): April
Publisher : International Institute for Advanced Science & Technology (IIAST)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ijcitsm.v5i1.165

Abstract

The integration of AI in the financial sector has inspired significant innovation while introducing new dynamics related to risks and opportunities. The rapid adoption of AI technologies has transformed operational, strategic, and analytical processes, creating substantial potential for growth alongside critical challenges. This study examines the transformative impact of AI on the financial sector, focusing on its innovative applications, associated risks, and opportunities. Key areas of exploration include the enhancement of operational efficiency, the development of innovative financial products, and the mitigation of risks through AIMLdriven solutions. A qualitative approach was employed, involving an extensive review of literature, industry reports, and regulatory frameworks. Thematic analysis was conducted to identify recurring patterns, while triangulation ensured the reliability of findings. Consultations with AI and financial experts further validated the study. The findings reveal that AI innovations, such as intelligent algorithms, big data analytics, and machine learning (ML), enhance operational efficiency, improve decision ML making processes, and strengthen market predictions. However, risks such as data security breaches, model uncertainty, and ethical concerns remain significant. Addressing these risks requires robust governance frameworks, ethical AI design, and compliance with evolving regulatory standards. By addressing risks and leveraging opportunities, the financial sector can optimize the transformative potential of AI, manage challenges effectively, and achieve sustainable growth. This study fills a critical gap in the literature by linking AI integration to practical implications for financial inclusion and risk mitigation, particularly in emerging markets and underserved communities.
Impact of Motivation on Compensation and Discipline at Musi Rawas Public Works Suwarno Suwarno; Irma Idayati; Hardi Mulyono; Dewi Paramita; Efa Ayu Nabila
International Journal of Cyber ​​and IT Service Management (IJCITSM) Vol. 5 No. 1 (2025): April
Publisher : International Institute for Advanced Science & Technology (IIAST)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ijcitsm.v5i1.172

Abstract

This study examines the effects of work discipline and compensation on employee performance, with work motivation as a moderating factor. Addressing critical challenges in public sector HR management, this research aims to understand how these variables interact to influence performance. A quantitative approach was adopted, with data collected from 62 respondents using observation, questionnaires, interviews, and documentation. The analysis methods included simple linear regression, correlation coefficients, t-tests, determination tests, and Moderated Regression Analysis (MRA). The findings reveal significant positive relationships between compensation and employee performance (tcalculate = 3.636 ≥ ttable = 1.670) and between work discipline and employee performance (tcalculate = 4.722 ≥ ttable = 1.670, R = 0.521). Furthermore, work motivation strengthens these relationships, amplifying their overall impact on performance. These results highlight the importance of timely compensation, robust disciplinary practices, and effective motivational strategies. Practical recommendations are provided for HR improvements within the Musi Rawas Public Works Department, and future research is encouraged to explore additional factors such as leadership and organizational culture.
The Role of Artificial Intelligence in Human Capital Management: A Review at PT. Pos Indonesia Sora Baltasar; Tonggo Marbun
International Journal of Cyber ​​and IT Service Management (IJCITSM) Vol. 5 No. 1 (2025): April
Publisher : International Institute for Advanced Science & Technology (IIAST)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ijcitsm.v5i1.175

Abstract

PT. Pos Indonesia is committed to overcoming digital era challenges by implementing strategic transformations, particularly through the adoption of Artificial Intelligence (AI). AI plays a key role in enhancing operational efficiency, service quality, and revenue growth. It optimizes logistics, accelerates courier services, and personalizes customer interactions, contributing to an 18.64% increase in business revenue in 2023, reaching Rp 5,479,12 billion. This growth is driven by AI based automation in supply chain management and customer data analysis. The goal of this research is to explore how PT. Pos Indonesia can address AI implementation gaps and optimize its use to gain sustainable competitive advantages in operations and Human Capital Management (HCM). It also aims to provide strategies for developing human resource management and enhancing efficiency through AI. In HCM, AI improves recruitment, training, and employee development, supporting skill analysis, personalized training, and performance evaluation. This transformation aligns with AKHLAK values, fostering collaboration and adaptability while supporting remote work models for O-Rangers and postal agents via realtime monitoring. AI also helps PT. Pos Indonesia adapt to the evolving e-commerce industry by optimizing delivery routes, predicting demand, and empowering digital platforms like Pospay. Automation improves cost efficiency and customer service, strengthening PT. Pos Indonesia position in the digital logistics and courier services market. Through AI integration in HCM and operations, PT. Pos Indonesia enhances profitability and establishes sustainable competitive advantages, positioning itself as a model for technology driven business innovation in Indonesia logistics and financial sectors.
Facing Global Dynamics with Effective Strategy: A Tasted Organizational Change Management Approach Ronal Aprianto; Chandra Lukita; Asep Sutarman; Richard Andre Sunarjo; Rifqa Nabila Muti; Ellen Dolan
International Journal of Cyber ​​and IT Service Management (IJCITSM) Vol. 5 No. 1 (2025): April
Publisher : International Institute for Advanced Science & Technology (IIAST)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ijcitsm.v5i1.177

Abstract

In an era of rapid globalization and digital transformation, organizations must adopt adaptive strategies to navigate complex market shifts. This study explores a tested Organizational Change Management (OCM) approach to enhance business resilience and sustainability. Using a quantitative research methodology, we conducted a structured survey involving 200 business executives across various industries to analyze the effectiveness of strategic OCM models. The results indicate that organizations implementing structured OCM frameworks experience a 35% increase in operational efficiency, a 28% improvement in employee adaptability, and a 40% reduction in resistance to change. Our study introduces a novel hybrid model, integrating Kotters Change Model with Agile methodologies, ensuring a balance between structured change and adaptive flexlibility. The findings contribute to existing literature by demonstrating how real time data driven decision making enhances the success rate of organizational transformations. This research provides valuable insights for business leaders and policymakers in aligning corporate strategies with global market dynamics, fostering innovation, and maintaining competitive advantages.

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