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All Journal Aptisi Transactions on Management Aptisi Transactions on Technopreneurship (ATT) IAIC Transactions on Sustainable Digital Innovation (ITSDI) Jurnal Manajemen Retail Indonesia (JMARI) International Transactions on Artificial Intelligence (ITALIC)
Hikam, Ihsan Nuril
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Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Library & Information Science Materials Science & Nanotechnology Social Sciences

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The Dynamics of Engagement in E-Learning Environments: Insights and Strategies for Improvement Sunarya, Po Abas; Alfiah, Fifit; Sholeh, Oleh; Millah, Shofiyul; Hikam, Ihsan Nuril
Jurnal Manajemen Retail Indonesia (JMARI) Vol. 5 No. 1 (2024): Jurnal Manajemen Retail Indonesia (JMARI)
Publisher : UNIVERSITAS RAHARJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/jmari.v5i1.3123

Abstract

In the rapidly evolving landscape of education, e-learning has emerged as a pivotal mode of instruction. However, fostering engagement in these digital environments presents unique challenges. This study delves into the dynamics of engagement in e-learning, aiming to unravel the multifaceted factors that influence student participation and to propose effective strategies for improvement from a broad sample of learners with qualitative insights from educators and students. The quantitative aspect utilizes a structured survey to gauge the impact of technological, pedagogical, and personal factors on engagement levels. Concurrently, qualitative data, gathered through interviews and focus groups, offers a nuanced understanding of the experiences and perceptions shaping engagement. The study’s findings reveal a complex interplay of factors, including the quality of digital content, interaction opportunities, feedback mechanisms, and individual learner characteristics. Notably, the research highlights the critical role of personalized learning experiences and the need for robust support systems. The discussion synthesizes these insights, outlining practical strategies for educators and institutions to enhance engagement in e-learning. These strategies encompass the adoption of adaptive learning technologies, fostering collaborative learning communities, and providing targeted support for diverse learner needs. The study contributes to the growing body of knowledge on e-learning, offering valuable guidance for optimizing engagement in these digital learning spaces.
Understanding Purposeful Leadership in Entrepreneurial Contexts: A Bibliometric Analysis Zaharuddin, Zaharuddin; Wahyuningsih, Sri; Sutarman, Asep; Hikam, Ihsan Nuril
Aptisi Transactions On Technopreneurship (ATT) Vol 6 No 2 (2024): July
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v6i2.412

Abstract

Leadership styles have evolved significantly in response to dynamic business environments and global challenges. Purposeful leadership, in particular, has gained attention for its potential to address these challenges by fostering innovation and ethical decision-making. The aim of this research is to identify and visualize publications on “Purposeful Leadership” within business organizations. This study uses the Dimensions database to collect relevant publications, which are then analyzed and visualized using VOSviewer. The bibliometric analysis includes various visualizations such as country-coupled, organization-coupled, source (journal)-coupled, authors-coupled, document-coupled, and keyword co-occurrence, focusing on articles published from 2014 to 2023. The results show that the USA ranks highest in terms of country-coupled bibliographic terms, with Maharishi International University (USA) leading in organization-coupled terms. The journal with the most citations is identified, while the most frequently cited documents and prolific authors are highlighted. The keyword “leadership” is the most frequently used, while “purposeful leadership” is still emerging, indicating substantial opportunities for future research. The growing interest in purposeful leadership, particularly in the USA, highlights the need for further exploration of this concept, especially in relation to other variables in management and business contexts. The findings emphasize the importance of developing integrative techniques to mobilize collective energy to address significant global challenges like climate change and social injustice. Purposeful leadership offers a solution to these needs, focusing on the role of leaders in articulating and addressing major problems in a focused and inclusive manner. This study underscores the necessity for more comprehensive research to fully understand the impact and potential applications of purposeful leadership in various organizational settings, paving the way for enhanced organizational performance and sustainability.
Empowerment Through Information: How AI-Driven Education Impacts Decision-Making Autonomy in Fertility Treatment Juliastuti, Dyah; Royani, Royani; Farida, Ida; Hikam, Ihsan Nuril; Garcia, Ava
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 6 No 2 (2025): April
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v6i2.694

Abstract

Artificial intelligence (AI) is transforming healthcare by enhancing patient education and supporting decision making autonomy. While AI application in various healthcare contexts is well documented, its role in empowering decision making autonomy in fertility treatments remains underexplored. This study introduces a novel perspective by evaluating the impact of AI driven education on patient understanding and autonomy in fertility treatments, incorporating the moderating roles of trust in AI and prior patient experience. Using Partial Least Squares Structural Equation Modeling (PLS SEM), data was analyzed from individuals undergoing or considering fertility treatments. The results show that AI driven education significantly enhances both understanding and autonomy, with understanding acting as a critical mediator. Notably, trust in AI and prior experience primarily influence understanding but do not directly affect autonomy, highlighting the complex relationship between knowledge and decision making independence. This research emphasizes the need to tailor AI tools to address both informational and psychological needs of patients, marking a novel contribution to AI driven patient centered care, especially in sensitive medical contexts. The studys findings underscore the importance of expanding the sample to diverse populations and examining psychological and cultural variables, areas that have been minimally addressed in previous AI healthcare research.
Implementation of Cloud-Based Information Management to Enhance Work Efficiency in Information Technology Companies Widjaja, Andree Emmanuel; Mulyati, Mulyati; Supriyanti, Dedeh; Hikam, Ihsan Nuril; Goestjahjanti, Francisca Sestri; Kamar, Karnawi; Nathalie, Julia
International Transactions on Artificial Intelligence Vol. 3 No. 2 (2025): May
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/italic.v3i2.536

Abstract

In the era of rapid digital transformation, Information Technology (IT) companies are increasingly challenged to manage large and complex datasets efficiently. This study investigates the implementation of cloud-based information management systems as a strategic approach to improving work efficiency within IT companies. A mixed-method approach was adopted, combining quantitative data from system performance metrics and employee productivity reports with qualitative insights obtained from surveys and in-depth interviews with employees and managers. The results show a significant improvement in work efficiency, with a 30% decrease in system response time and a 25% increase in employee productivity. Additionally, qualitative findings indicate enhanced employee satisfaction, better collaboration, and more effective decision-making due to improved data accessibility and streamlined workflows. The integration of cloud-based systems with existing IT infrastructure is also identified as a critical factor for the success of such implementations. These findings highlight that cloud technology not only addresses operational challenges but also supports broader strategic goals. The study recommends IT companies invest in employee training, robust data security measures, and seamless integration strategies to fully leverage the potential of cloud-based information management in optimizing performance and maintaining competitiveness.
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.
Integrating Strategic Management with SDG 10 for Sustainable Development and Equity Lukita, Chandra; Abdul Rahman, Abdul Wahab; Hikam, Ihsan Nuril; Rahardja, Untung
Aptisi Transactions On Technopreneurship (ATT) Vol 7 No 2 (2025): July
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v7i2.507

Abstract

Strategic Management (SM) has traditionally focused on competitive advantage and operational efficiency. However, with the increasing global emphasis on inclusive development, SM now includes addressing systemic issues such as inequality, as outlined in Sustainable Development Goal 10 (SDG 10). This study aims to explore how SM research contributes to SDG 10, focusing on the role of Artificial Intelligence (AI) in advancing equity-driven strategies, specifically in the context of reducing inequalities. A bibliometric analysis was conducted using VOSviewer on 43 Scopus-indexed articles published from 2015 to 2025. This analysis maps global contributions, themes, and AI conceptual integration into SM. The findings show that Spain and the Netherlands are leading contributors in this field. Core themes emphasize governance, Corporate Social Responsibility (CSR), and innovation, while AI is recognized conceptually but lacks empirical integration in reducing inequalities. This study identifies key trends in SM research related to SDG 10 and highlights the need for greater empirical integration of AI in SM. It calls for further research on AI-driven decision-making frameworks that align with equity and sustainability goals.
Co-Authors Abdul Rahman, Abdul Wahab Alfiah, Fifit Garcia, Ava Goestjahjanti, Francisca Sestri Green, Thomas Ida Farida Juliastuti, Dyah Karnawi Kamar, Karnawi Marviola Hardini Millah, Shofiyul Mulyati Mulyati Nathalie, Julia Po Abas Sunarya Qurotul Aini ROYANI ROYANI Sembiring, Rinawati Sholeh, Oleh Supriyanti, Dedeh Sutarman, Asep Untung Rahardja Widjaja, Andree E. Zaharuddin Zaharuddin, Zaharuddin