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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

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.

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

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

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

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.

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

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

Interest Rate in the Relationship Between Fundamental Factors and Efficiency of Indonesian Regional Development Banks (2020–2024) Sora Baltasar; Sri Retnaning Sampurnaningsih; Sahroni Sahroni; Rachmawaty Rachmawaty; Zulfitra Zulfitra
International Journal Of Humanities Education and Social Sciences (IJHESS) Vol 5 No 6 (2026): IJHESS JUNE 2026
Publisher : CV. AFDIFAL MAJU BERKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55227/ijhess.v5i6.2316

This study examines the effects of key financial ratios, namely Capital Adequacy Ratio, Return on Assets, and Non-Performing Loans, along with the moderating role of interest rates on the operational efficiency of Regional Development Banks in Indonesia, measured by the Cost-to-Income Ratio (CIR). A quantitative approach is employed using panel data from 2020–2024, with model selection indicating the Random Effects Model as the most appropriate specification, complemented by Moderated Regression Analysis to capture interaction effects. The results show that Return on Assets has a negative and significant effect on CIR, confirming that profitability plays a central role in enhancing efficiency. In contrast, Capital Adequacy Ratio and Non-Performing Loans do not exhibit strong partial effects, although interest rates significantly moderate their relationships with efficiency. Simultaneous testing confirms that internal financial factors jointly influence operational efficiency. These findings suggest that efficiency is shaped not only by internal performance but also by its interaction with monetary conditions. The study provides implications for improving capital allocation, profitability management, and adaptive risk strategies to sustain efficiency.

Scarcity Effect, FOMO, WOM, and Influencers in Iftar Snacks: A Study of Marketing Strategies During Ramadan in Indonesia Sora Baltasar; Dani W Wibowo; Phintoko Akhbar Akriyono; Ana Rohana; Sandi Yuda Wardani; Dini Puspitasari
International Journal of Islamic Business and Management Review Vol. 5 No. 1 (2025)
Publisher : Asosiasi Dosen Peneliti Ilmu Ekonomi dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54099/ijibmr.v5i2.1388

This study examines the sale of takjil (iftar snacks) by Micro, Small, and Medium Enterprises (MSMEs) during Ramadan in Indonesia, emphasizing the integration of social, cultural, and religious values in business practices. Using a narrative review method, this research analyzes relevant literature to explore iftar snacks consumption patterns and marketing strategies adopted by MSMEs. Findings indicate that Ramadan is not only a spiritual occasion but also a time of increased social cohesion and economic opportunity. The tradition of iftar snacks stalls, embraced by both Muslims and non-Muslims, reflects local wisdom and a spirit of togetherness. Marketing strategies based on Fear of Missing Out (FOMO), scarcity, and word of mouth have proven effective, particularly through digital platforms. However, many MSMEs still struggle to understand consumer behavior and manage excess inventory. The study concludes that MSME success during Ramadan depends on their ability to present products attractively, build emotional connections with consumers, and implement marketing strategies that are responsive to cultural and social values.

Nafs Maturity as Foundation of Islamic Leadership, Work Behavior, and Organizational Performance Sora Baltasar; Eka Budiandri; Yose Hernando; Donny Gumilar; Refsi Meilawati
International Journal of Islamic Business and Management Review Vol. 5 No. 2 (2025)
Publisher : Asosiasi Dosen Peneliti Ilmu Ekonomi dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54099/ijibmr.v5i2.1684

This study examines how nafs maturity influences the internalization of Islamic leadership values and its implications for work behavior and organizational performance. Previous leadership and human resource management studies, including Islamic perspectives, largely emphasize structural and managerial factors, yet provide limited explanation for variations in employees’ responses to identical leadership values. Employing an analytically oriented qualitative literature review, this study synthesizes findings from reputable national and international journals in Islamic psychology, leadership, and organizational behavior. Qualitative content analysis is applied using a comparative and interpretative approach, mapping empirical findings onto the nafs typology (ammarah, lawwāmah, and muṭma’innah). The findings reveal that nafs maturity determines the depth of leadership value internalization, shaping self-control, Islamic work ethic, emotional regulation, and behavioral consistency. Higher nafs maturity is associated with deep internalization and sustainable performance, while lower maturity tends to result in formal compliance and passive resistance. This study highlights nafs maturity as a foundational internal mechanism linking Islamic leadership, work behavior, and sustainable organizational performance

Cybersecurity Strategies for Preventing Ransomware Attacks in Cloud-Based Applications Ageng Setiani Rafika; Sora Baltasar; Alfri Adiwijaya; Mochamad Heru Riza Chakim; Zhask Stefano Rizky
CORISINTA Vol 2 No 2 (2025): August
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/corisinta.v2i2.77

Ransomware attacks have become a significant threat to cloud-based applications, posing severe risks to organizations' data integrity, financial stability, and operational continuity. This paper explores the challenges of securing cloud environments against ransomware, focusing on vulnerabilities such as inadequate encryption, weak access controls, and multi-tenancy risks. Through an in-depth analysis, the paper identifies the most common types of ransomware targeting cloud applications, including file encryption and data exfiltration ransomware, and discusses the security weaknesses that facilitate these attacks. The paper further evaluates existing cybersecurity strategies, such as data encryption, multi-factor authentication (MFA), and continuous monitoring, highlighting their effectiveness in preventing ransomware attacks. Based on these findings, a comprehensive framework is proposed, combining technical solutions like strong encryption and AI-based threat detection with organizational practices such as regular employee training and backup solutions. The study also emphasizes the importance of collaboration between cloud service providers and organizations to enhance overall cloud security. By adopting a multi-layered approach and integrating emerging technologies, organizations can significantly improve their resilience against ransomware threats. This research contributes to the ongoing dialogue on cloud security by providing actionable recommendations for preventing ransomware attacks and safeguarding cloud-based applications from evolving cyber threats.

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