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Ninda Lutfiani
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Aptisi Transactions on Management
Published by Pandawan Sejahtera Indonesia
ISSN : 26226812     EISSN : 26226804     DOI : 10.33050/atm
Core Subject : Science,
Computer Science & IT Decision Sciences, Operations Research & Management
Aptisi Transactions on Management (ATM) adalah jurnal ilmiah yang diterbitkan oleh APTISI (Asosiasi Perguruan Tinggi Swasta Indonesia), guna memfasilitasi hasil jurnal ilmiah Civitas Akademika dalam bidang teknologi informasi, komunikasi, dan manajemen dalam menghadapi era digital di Indonesia. ATM terbit tengah tahunan (2 kali dalam setahun, periode Januari dan Juli).
Arjuna Subject : -
Articles 219 Documents
 18   19   20   21   22 
A Comparative Analysis of Traditional and Decentralized Storage Systems in the Digital Age Po Abbas Sunarya; Desy Apriani; Ruli Supriati; Danang Surya Budi; John Edwards
APTISI Transactions on Management (ATM) Vol 10 No 1 (2026): ATM (APTISI Transactions on Management: January)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/ytwbd911

Abstract

The background of this research originates from the critical role of data storage in the advancement of modern digital technology, where centralized traditional cloud storage models have become dominant due to their accessibility and ease of data management. However, the challenges faced by these models include limited scalability, high operational costs, and vulnerabilities related to data security and privacy. In response to these limitations, the InterPlanetary File System (IPFS) has emerged as a decentralized storage solution that offers an alternative approach to data storage and distribution. The objective of this study is to compare IPFS and traditional cloud storage based on four key aspects: scalability, security, cost, and performance. The methodology involves a literature review and case studies of IPFS implementation in various practical scenarios. The findings reveal that while IPFS offers superior decentralization and resistance to data censorship, it still suffers from inefficiencies in data re- trieval and challenges in large-scale adoption. The results show that traditional cloud storage demonstrates advantages in access speed and integration capabilities but remains constrained by higher costs and the risks associated with data centralization. The conclusion emphasizes the need for continued research to enhance the efficiency of IPFS and to explore hybrid storage models that integrate the benefits of both decentralized and centralized technologies.
Human Centered AI Integrating Ethical Psychological and Computational Perspectives for Inclusive Innovation Nurjanah, Lina; Ubed, Roby Syaiful; Nurhabibah, Prabawati; Rodriguez, Marta
APTISI Transactions on Management (ATM) Vol 10 No 1 (2026): ATM (APTISI Transactions on Management: January)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/7bgr2024

Abstract

The rapid evolution of Artificial Intelligence (AI) has reshaped social, economic, and cultural landscapes, yet its development often prioritizes technical efficiency over human values. This study proposes the Human-Centered AI Integration Framework, a multidisciplinary model that unites ethical, psychological, and computational perspectives to promote inclusive and responsible AI innovation. Employing a mixed-method and Design Science Research (DSR) approach, data were gathered from literature studies, user surveys, and AI system analyses to identify gaps between ethical principles, user perception, and algorithmic design. The proposed framework consists of three interrelated layers: the Ethical Layer, emphasizing fairness, accountability, and transparency; the Psychological Layer, focusing on trust, empathy, and human experience; and the Computational Layer, ensuring algorithmic integrity through bias mitigation and explainability. Evaluation results from interdisciplinary experts confirm that the model effectively bridges human values with technical implementation, enhancing trust, inclusivity, and transparency across AI systems. This research contributes to the growing discourse on responsible AI by providing a holistic foundation for designing systems that are not only intelligent and efficient but also empathetic, equitable, and aligned with human well-being.
IPFS Based Secure and Decentralized Web Architecture A Systematic Review Dhimas Tribuana; Apriani Sijabat; Titih Nursugiharti; Wijaya, Rizky Charles
APTISI Transactions on Management (ATM) Vol 10 No 1 (2026): ATM (APTISI Transactions on Management: January)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/4z339025

Abstract

The rapid development of digital technology has driven a transition from Web 2.0 to Web 3.0, where decentralization, user autonomy, and data security have become fundamental priorities. This transition introduces critical challenges in distributed systems, peer-to-peer networking, and security engineering, particularly concerning fault tolerance, data integrity, and resilience against centralized failures. Traditional centralized web architectures often suffer from single points of failure, making them vulnerable to cyberattacks and censorship. This study investigates the InterPlanetary File System (IPFS) as a content-addressed, peer-to-peer distributed storage architecture that enhances decentralized web infrastructures by enabling immutable data validation, node redundancy, and improved resistance to system-level attacks. This study adopts a Systematic Literature Review (SLR) approach to examine the application of IPFS in developing secure and decentralized websites within the Web 3.0 ecosystem. Following PRISMA-guided procedures, recent peer-reviewed studies are systematically analyzed to identify architectural patterns, security mechanisms, and system-level challenges associated with decentralized web hosting. The findings are synthesized to assess the implications of IPFS for data integrity, system resilience, and fault tolerance in distributed environments. These results lead to the conclusion that integrating IPFS into website development represents a strategic step toward creating a more transparent, resilient, and decentralized web ecosystem aligned with the core principles of Web 3.0.
Omnichannel Strategy and Student Word of Mouth in Higher Education Cicilia Sriliasta; Usman, Bahtiar; Ekasari, Ayu; Rangi, Noah
APTISI Transactions on Management (ATM) Vol 10 No 1 (2026): ATM (APTISI Transactions on Management: January)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/fpxhae27

Abstract

In the era of digital transformation, Higher Education Institutions (HEIs) face increasing pressure to modernize their service delivery to meet evolving student expectations. While Omnichannel Integration (OCI) has revolutionized customer experiences in retail and banking, its application within the educational sector remains underexplored. This systematic literature review aims to bridge this gap by examining the impact of OCI on Student Engagement and Word-of-Mouth (WoM). Adhering to the PRISMA guidelines, a rigorous screening process was conducted across multiple academic databases, resulting in the analysis of 74 eligible studies published between 2014 and 2024. The thematic analysis identifies four core dimensions of OCI Channel Service Configuration, Content Consistency, Quality Assurance, and Process Consistency. The findings reveal a significant distinction between commercial and educational contexts in HEIs, the integration of physical and digital touchpoints is not merely a logistical upgrade but a strategic necessity for relationship building. Crucially, the review establishes that OCI does not automatically generate advocacy. Instead, the student engagement acts as a vital mediating variable, meaning that seamless integration fosters deeper engagement, which subsequently drives positive WoM. This study contributes to the literature by synthesizing fragmented evidence into a cohesive framework, offering university administrators practical strategies to enhance student retention and institutional reputation through consistent cross channel experiences.
Digital Maturity and Transformation Readiness Across Indonesian Industries Anna, Yane Devi; Ismiyanti, Yulina; Evans, Richard
APTISI Transactions on Management (ATM) Vol 10 No 1 (2026): ATM (APTISI Transactions on Management: January)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/d53ekp67

Abstract

Indonesia is experiencing a rapid digital transformation driven by national initiatives such as Making Indonesia 4.0 and the Digital Economy Roadmap 2030. However, prior studies consistently report uneven digital maturity across industries due to disparities in infrastructure, digital skills, leadership commitment, and strategic alignment. This study adopts a Systematic Literature Review (SLR) to synthesize empirical and conceptual evidence on digital maturity and digital transformation readiness across industries in Indonesia and comparable emerging economies. The review focuses on six dominant dimensions identified across prior studies, namely digital strategy alignment, IT infrastructure, data analytics capability, leadership commitment, employee capability, and innovation culture. The synthesis reveals that banking and financial services exhibit the highest level of digital maturity, followed by manufacturing and logistics. At the same time, MSMEs, education, and healthcare remain in early to developing stages. Leadership commitment, workforce digital skills, and data analytics capability consistently emerge as the most critical drivers of transformation readiness. This study contributes theoretically by integrating fragmented findings on digital maturity into a coherent conceptual framework relevant to emerging economies. Practically, the results support national digital policy development and align with SDG 4 (Quality Education), SDG 8 (Decent Work and Economic Growth), and SDG 9 (Industry, Innovation, and Infrastructure) by emphasizing inclusive digital capability development.
Security and Privacy Enhancement in Decentralized Digital Data Sharing Environments Muhamad Yusup; Mardiana; Ageng Setiani Rafika; Putra Wahyudi, Otniel Feliks; Agung Lorenzo
APTISI Transactions on Management (ATM) Vol 10 No 1 (2026): ATM (APTISI Transactions on Management: January)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/vp5s1m02

Abstract

This study examines the suitability of the IPFS as a decentralized architecture for secure digital data exchange. Traditional centralized protocols, such as HTTP, introduce structural vulnerabilities, including single points of failure, metadata exposure, and susceptibility to interception or unauthorized modification. As digital data exchange becomes increasingly essential in various sectors, ensuring data security and privacy has become a growing concern. The primary objective of this study is to evaluate IPFS’s ability to address these vulnerabilities and enhance the security and privacy of digital data-sharing environments. This research employs a structured literature review to synthesize findings from distributed-systems research, cryptographic studies, and peer-to-peer networking analyses. Additionally, the study benchmarks IPFS against traditional storage protocols, such as HTTP and FTP, to assess its advantages and limitations. The results demonstrate that IPFS offers significant advantages, including content-addressed storage, Merkle-DAG verification, and decentralized peer replication. These features improve fault tolerance, ensure data integrity, and reduce the risks of data tampering. However, limitations, such as content availability and reliance on node uptime, are also noted. While IPFS is not a complete security solution, it provides a strong foundational architecture for privacy-preserving, distributed data-sharing workflows when paired with complementary cryptographic and governance frameworks, making it a viable alternative for secure digital data exchange.
Evolving Business Strategies through Cyberpreneurship in the Age of AI and Automation Maulana, Imam Ryan; Rahardja, Untung; Azizah, Nur; Rakhmansyah, Mohamad; Komara, Maulana Arif; Sebastian, Rizky
APTISI Transactions on Management (ATM) Vol 10 No 1 (2026): ATM (APTISI Transactions on Management: January)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/3e1caz25

Abstract

The rapid advancement of Artificial Intelligence (AI) and automation has fundamentally transformed how organizations formulate and execute business strategies. As digital ecosystems continue to evolve, traditional approaches are no longer sufficient to maintain competitiveness, leading to the rise of cyberpreneurship as a strategic enabler for innovation and sustainability. The objective of this study is to examine how cyberpreneurship influences the evolution of business strategies through the adoption of AI and automation, focusing on strategic agility, innovation capability, and organizational adaptability. Using a quantitative research approach, data were collected from 250 digital entrepreneurs operating in creative and technology-based sectors. The data were analyzed using SmartPLS 4.0 to test the relationships among key constructs, including AI adoption, entrepreneurial innovation, business agility, and sustainable performance. The results indicate that AI adoption significantly enhances innovation capability, which mediates the relationship between cyberpreneurship and sustainable business performance. The findings highlight that businesses leveraging AI and automation can develop adaptive, data-driven, and customer-oriented strategies that strengthen long-term competitiveness. In conclusion, this study emphasizes that cyberpreneurship plays a crucial role in driving strategic transformation in the age of automation by fostering innovation and organizational resilience aligned with the Sustainable Development Goals (SDGs), particularly SDG 8 (Decent Work and Economic Growth), SDG 9 (Industry, Innovation, and Infrastructure), and SDG 12 (Responsible Consumption and Production).
Enhancing Customer Experience and Business Innovation through Digital Platforms in Southeast Asia Juanta, Palma; Setiawan, Sandy; Hetilaniar; Callula, Brigitta
APTISI Transactions on Management (ATM) Vol 10 No 1 (2026): ATM (APTISI Transactions on Management: January)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/1zrz4w08

Abstract

The rapid expansion of digital platforms across Southeast Asia has accelerated the emergence of interconnected digital ecosystems that integrate multiple services, partners, and data-driven interactions, fundamentally reshaping customer expectations and competitive dynamics in the region. This study aims to examine how ecosystem oriented digital platforms enhance customer experience and foster business model innovation by analyzing the influence of ecosystem capabilities, service integration, and value co-creation. Using a quantitative approach, data were collected from 378 active users of digital platforms across Indonesia, Malaysia, Vietnam, Thailand, and the Philippines, and analyzed using Structural Equation Modeling with Partial Least Squares (SEM–PLS) to evaluate relationships among key variables. The findings indicate that strong ecosystem capabilities significantly improve customer experience through seamless integration, personalization, and multi-stakeholder collaboration, while customer experience also mediates the relationship between ecosystem capabilities and business model innovation. Furthermore, ecosystem oriented platforms demonstrate greater agility and value creation potential compared to single-service platforms. These results underscore the strategic importance of digital ecosystems in driving superior customer experience and enabling sustainable business model innovation in Southeast Asia, offering valuable implications for digital firms, startups, and policymakers to strengthen regional digital transformation.
A Data Driven Information System for Cybersecurity Vulnerability Management Aini, Qurotul; Rizky, Agung; Rusdian, Suca; Aulia, Azwani; Erica, Archa
APTISI Transactions on Management (ATM) Vol 10 No 1 (2026): ATM (APTISI Transactions on Management: January)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/f3yjz324

Abstract

The rapid growth of digital infrastructures has amplified cybersecurity vulnerabilities, challenging organizations to manage risks effectively. Traditional vulnerability assessment methods, such as static scoring systems, often overlook dynamic threat information, leading to suboptimal prioritization. This study addresses the gap in existing vulnerability management approaches by introducing a data-driven framework that combines internal system data, public vulnerability databases, and external threat intelligence using predictive analytics. The proposed decision support information system employs machine learning as an analytical component to estimate the likelihood of vulnerability exploitation and support vulnerability prioritization decisions. The novelty of this approach lies in its ability to prioritize vulnerabilities not only based on technical severity but also considering the context of real-world threat activity. When benchmarked against conventional methods, this approach demonstrates superior performance in identifying exploitable vulnerabilities, improving accuracy and recall, thus optimizing resource allocation. By adopting a proactive, risk-based strategy, the framework prioritizes the most critical vulnerabilities in complex IT environments. The results highlight the potential of predictive models in enhancing cybersecurity management and supporting sustainable infrastructure, driving a shift toward more efficient, data-driven decision-making.  

Page 22 of 22 | Total Record : 219

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