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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 214 Documents
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Influence of Incentives and Work Motivation on Employee Productivity at PT Panelindo Graha Nusantara Mulyati; Tarmizi, Rasyid; Mutiara Zahrani, Amelia; Bimantoro
APTISI Transactions on Management (ATM) Vol 9 No 2 (2025): ATM (APTISI Transactions on Management: May)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v9i2.2467

Abstract

This study investigates the impact of incentives and work motivation on em- ployee productivity at PT Panelindo Graha Nusantara, a company operating in the electrical panel manufacturing sector. The importance of employee produc- tivity in achieving organizational goals motivates this research, particularly in the context of human resource management strategies. The objective is to analyze both the partial and simultaneous effects of incentives and motivation on sample of 72 employees. Data were collected using structured questionnaires and analyzed through classical assumption tests, multiple linear regression, and determination coefficient analysis using SPSS software. The results indicate that incentives and work motivation both have significant positive effects on employee productivity individually and simultaneously. The partial tests show significance with t-values exceeding the critical t-value, and the simultaneous test reveals a significant F-value well above the threshold. The coefficient of determination suggests that 65.3% of the productivity variance can be explained by these two variables. In conclusion, the findings emphasize the critical role of properly designed incentive systems and motivation strategies in enhancing employee productivity. These insights provide valuable guidance for managers aiming to optimize workforce performance in similar industrial settings
Leveraging Artificial Intelligence for Competitive Advantage in SMEs An Empirical Analysiss Ferdiansyah, Januri; Abudaqa, Anas; Lansonia, April
APTISI Transactions on Management (ATM) Vol 9 No 2 (2025): ATM (APTISI Transactions on Management: May)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v9i2.2472

Abstract

Small and Medium Enterprises (SMEs) face significant challenges in a com- petitive market. Artificial Intelligence (AI) has emerged as a critical tool for enhancing business operations, yet the specific impact of AI on the competi- tive advantage of SMEs remains underexplored. This study aims to investigate how AI adoption influences the competitive advantage of SMEs, focusing on key performance indicators such as cost efficiency, market share, customer retention, and innovation. The study adopts a quantitative research approach using Par- tial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS software. Data was collected from 200 SMEs across various industries that have implemented AI technologies. A survey was conducted to assess AI adoption and its impact on competitive advantage. The results indicate that AI adoption positively affects all four dimensions of competitive advantage. The strongest impact was observed on cost efficiency, followed by customer retention, inno- vation, and market share. The relationships between AI adoption and competi- tive advantage were statistically significant. AI adoption provides SMEs with a powerful means to enhance competitiveness by improving operational effi- ciency, customer loyalty, and innovation. Policymakers should support SMEs in overcoming adoption barriers to fully realize these benefits.
Evaluating Risk Management Strategies in Fintech and Blockchain An Empirical Approach Hartono, Tri; Putri Oganda, Fitra; Williams, Jack
APTISI Transactions on Management (ATM) Vol 9 No 2 (2025): ATM (APTISI Transactions on Management: May)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v9i2.2473

Abstract

The rapid growth of fintech and blockchain technologies has revolution- ized the financial sector, introducing innovative solutions but also posing unique risks. Managing these risks effectively is crucial for ensuring the stability and sustainability of these technologies. This study aims to evaluate the effective- ness of risk management strategies in fintech and blockchain sectors, focusing on identifying the most adopted strategies and assessing their impact on mitigating various risks. A quantitative research design was employed, using surveys to collect data from industry experts in fintech and blockchain companies. The data were analyzed using Structural Equation Modeling (SEM) with SmartPLS software to assess the relationships between risk management strategies and or- ganizational outcomes. The findings revealed that cybersecurity protocols, reg- ulatory compliance programs, and smart contract audits are the most commonly adopted risk management strategies. The study found that blockchain companies prioritize smart contract audits, while fintech companies focus more on cyber- security and regulatory compliance. Effective risk management strategies are crucial for the growth and stability of fintech and blockchain sectors. The study recommends that companies integrate advanced technologies and prioritize reg- ulatory compliance to mitigate risks and enhance trust.
Risk Management Model for Compliance and Security in Blockchain Powered Payment Platforms Novalita Savitri, Agnes; Hardini, Marviola; Yao, Goh
APTISI Transactions on Management (ATM) Vol 9 No 2 (2025): ATM (APTISI Transactions on Management: May)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v9i2.2475

Abstract

Blockchain technology has revolutionized financial services by enabling decen- tralized, transparent, and tamper-resistant payment platforms. However, these innovations bring significant challenges related to regulatory compliance and security management, which threaten platform adoption and user trust. This study aims to develop and empirically validate a comprehensive risk management model that integrates both regulatory oversight and security auditing dimensions specific to blockchain-powered payment systems. A cross-sectional survey was conducted among 215 industry practitioners involved in blockchain payment platforms. Using Partial Least Squares Structural Equation Modeling (PLS-SEM), the study tested hypothesized relationships among regulatory over- sight, smart contract auditing, perceived compliance and security risks, risk mit- igation intent, and platform adoption intention. The results demonstrate that regulatory oversight and smart contract auditing significantly increase perceived compliance and security risks. These heightened risk perceptions positively in- fluence intentions to mitigate risks, which in turn significantly drive platform adoption. The model explains 58% and 42% of the variance in risk mitigation intent and platform adoption intention, respectively, confirming its strong ex- planatory power. This research contributes a validated, unified risk manage- ment framework that guides policymakers, platform operators, and auditors in addressing intertwined compliance and security risks. The findings support the advancement of safer, more trustworthy blockchain payment systems, fostering broader adoption and aligning with evolving regulatory landscapes. 
Framework for Implementing Green Supply Chain Practices in Indonesian Small and Medium Enterprises Aini, Qurotul; Hardini, Marviola; Hikam, Ihsan Nuril; Green, Thomas
APTISI Transactions on Management (ATM) Vol 9 No 3 (2025): ATM (APTISI Transactions on Management: September)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/23c5gv23

Abstract

The urgent need to address climate change, environmental degradation, and resource depletion has driven the adoption of sustainable business practices globally. For Small and Medium Enterprises (SMEs), particularly in developing countries such as Indonesia, transitioning toward sustainability presents both challenges and opportunities. Green Supply Chain Management (GSCM) offers a comprehensive approach to integrating environmental considerations into every stage of the supply chain, from sourcing raw materials to end-of-life product management. This study develops a practical GSCM framework tailored for Indonesian SMEs, using a qualitative multiple-case study method across three sectors: food, handicrafts, and logistics. Data collection methods included semi-structured interviews, on-site observations, and document analysis, followed by thematic coding and cross-case synthesis. The resulting framework identifies five interrelated components: supplier collaboration, eco-friendly material selection, waste reduction strategies, energy efficiency optimization, and sustainability performance monitoring. The framework is validated through triangulation of data sources and feedback from SME stakeholders. By aligning with the United Nations Sustainable Development Goals (SDGs), particularly Goals 12 and 13, this study provides actionable insights for policymakers, SME owners, and practitioners seeking to enhance sustainability while maintaining operational efficiency.
Digital Transformation Journey of SMEs in Indonesia During the Post Pandemic Era Rizky, Agung; Gunawan, Ahmad; Santiago Ikhsan, Ramiro
APTISI Transactions on Management (ATM) Vol 9 No 3 (2025): ATM (APTISI Transactions on Management: September)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/522w1t49

Abstract

The COVID-19 pandemic marked a significant turning point for small and medium enterprises (SMEs) in Indonesia, compelling many to rapidly transi- tion from traditional offline operations to digital business models. This study aims to analyze the digitalization journey of SMEs in the post-pandemic era by examining the opportunities and challenges they encounter during this transformation. A descriptive qualitative approach was employed, using secondary data sourced from official reports such as BPS, the Ministry of Cooperatives and SMEs, and the economy SEA Report, complemented by relevant academic literature. The findings reveal that digitalization has opened substantial oppor- tunities for SMEs, including expanded market reach, improved operational ef- ficiency, and enhanced customer engagement through e-commerce platforms, digital payment systems, and social media marketing. However, persistent bar- riers remain, such as limited digital literacy, uneven internet infrastructure, high implementation costs, and consumer trust issues in online transactions. This study concludes that while digitalization offers a vital pathway for SME growth and resilience, addressing these barriers requires collaborative efforts among business owners, policymakers, and digital platform providers. Future research should employ quantitative methods and explore sector-specific case studies to deepen understanding of digital transformation strategies.
AI Adoption Barriers in SMEs Analyzing Through the Technology Organization Environment TOE Framework Syahidun; Susetyono, Eko; Adiwijaya, Alfri; Madani, Muchlisina; Mustafa Kareem, Yasir
APTISI Transactions on Management (ATM) Vol 9 No 3 (2025): ATM (APTISI Transactions on Management: September)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/h6qyfk21

Abstract

Artificial Intelligence (AI) has become a key driver of innovation, improving efficiency, decision-making, and competitiveness in businesses worldwide. However, the adoption of AI tools among Small and Medium Enterprises (SMEs), especially in developing countries like Indonesia, remains limited. This study aims to explore the barriers hindering AI adoption in SMEs in Indonesia using the Technology Organization Environment (TOE) framework. A survey was conducted among Indonesian SMEs across various sectors to capture their perceptions regarding AI implementation. The survey focused on technological, organizational, and environmental factors that influence AI adoption. The findings reveal that technological barriers, such as high implementation costs and system complexity, are significant challenges for SMEs. Organizational barriers, including limited digital literacy, a lack of skilled workforce, and resistance to change, also hinder AI adoption. Furthermore, environmental barriers like insufficient government support, regulatory uncertainty, and low market pressure constrain SMEs' adoption readiness. This study extends the TOE framework to the context of AI adoption in SMEs in developing economies. Addressing the identified barriers is essential for accelerating digital transformation and enabling SMEs to leverage AI for sustainable growth in the digital economy.
Reinventing Human Resource Practices Through Digital Marketing Platforms and Remote Work Technologies Pramudito, Eko Sigit; Widayanti, Riya; Purnama, Suryari; Al-Farouqi, Kamal Arif
APTISI Transactions on Management (ATM) Vol 9 No 3 (2025): ATM (APTISI Transactions on Management: September)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/m4qs8j08

Abstract

The digital era has transformed human resource (HR) management, with or- ganizations adopting digital platforms, remote work technologies, and digital marketing strategies to improve productivity, optimize talent management, and enhance employer branding. These innovations also support Sustainable Devel- opment Goals (SDGs), including SDG 4 (Quality Education), SDG 8 (DecentWork and Economic Growth), and SDG 9 (Industry, Innovation, and Infrastructure). This study examines how HR practices are reinvented through dig- ital tools and marketing-driven initiatives, focusing on recruitment, employee engagement, performance management, and training, while highlighting chal- lenges and opportunities. A qualitative descriptive approach analyzed sec- ondary data from peer-reviewed journals, case studies of multinational corpora- tions and SMEs, and industry reports published between 2021 and 2025. Con- tent analysis identified themes related to HR digital adoption, workforce en- gagement, marketing integration, and strategic implications. HR digitalization poses challenges such as employee resistance, digital literacy gaps, cybersecu- rity risks, and maintaining organizational culture. Opportunities include greater flexibility, cost efficiency, improved engagement, enhanced employer branding, and access to global talent pools. Digital platforms, remote work, and marketing strategies are strategic assets reshaping HR management and aligning practices with sustainability goals.
Workplace Digitalization and HR Innovation in the Era of Industry 5.0 Meria, Lista; Sunarjo, Richard Andre; Andayani, Dwi; Toh Hua, Chua
APTISI Transactions on Management (ATM) Vol 9 No 3 (2025): ATM (APTISI Transactions on Management: September)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/86sbgy17

Abstract

This study investigates the impact of workplace digitalization on human resource (HR) innovation within the context of Industry 5.0. While Industry 4.0 empha- sized automation, Industry 5.0 highlights the synergy between advanced tech- nologies and human-centric practices. To analyze this relationship, a survey was conducted involving 150 HR professionals across multiple industries in Indonesia, focusing on the adoption of digital HR tools and innovative practices. The findings reveal that workplace digitalization has a positive and significant ef- fect on HR innovation (β = 0.52, p < 0.01), particularly in recruitment, digital training, and performance management. However, barriers such as employee resistance and cybersecurity risks negatively moderate this relationship. This re- search contributes to the literature by linking digital transformation to HR prac- tices in the Industry 5.0 era and offers practical implications for managers in improving organizational readiness through digital HR innovation.
Leveraging IPFS for Scalable and Secure Data Storage in Blockchain-Based DApps Richard Andre Sunarjo; Nanda Septiani; Dwi Nur Ramadha; Afif Aditya Darmawan; Omar Arif Al-kamari
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: 10.33050/0b8pdh28

Abstract

The rapid expansion of blockchain-based Decentralized Applications (DApps) has intensified challenges related to scalable, secure, and cost-efficient data storage, as conventional on-chain storage is unsuitable for large data volumes due to high gas costs and performance limitations, while centralized off-chain solutions undermine decentralization and increase security risks. This study aims to evaluate the effectiveness of integrating the IPFS as a decentralized storage layer within an Ethereum-based DApp architecture to enhance scalability, data integrity, and operational efficiency. Using an experimental systems engineering approach, a fully functional DApp prototype was developed by integrating a React.js frontend, Ethereum smart contracts written in Solidity, and a local IPFS node for off-chain file storage. Empirical performance testing was conducted to measure file upload and retrieval latency, CID (Content Identifier) consistency, smart contract execution time, and gas consumption on the Ethereum testnet. The results demonstrate that IPFS integration significantly reduces on-chain storage load while maintaining strong data integrity, as evidenced by 100% CID consistency across all test scenarios. Although upload and retrieval times increased proportionally with file size, the system achieved success rates above 95% with stable performance, while gas costs remained low because only CIDs were recorded on-chain. These findings indicate that IPFS provides a scalable, secure, and cost-efficient decentralized storage solution for blockchain-based DApps, enabling the development of more data-intensive and resilient DApps, with future research opportunities focusing on incentive-based pinning mechanisms, advanced encryption, and cross-chain storage integration.

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