IAIC Transactions on Sustainable Digital Innovation (ITSDI)

Design and Development of an Augmented Reality Learning Medium for the Conservation of the Endemic Flora Balikpapan Ginger (Etlingera balikpapanensis)

Fulkha Tajri M — 2026-05-29

Balikpapan Ginger (Etlingera balikpapanensis) is an endemic flora of East Kalimantan with significant ecological, historical, and economic value, yet it remains largely unknown among the general public, particularly students. This condition highlights the need for innovative learning media to support environmental awareness and conservation education in a more engaging and accessible manner. Although Augmented Reality (AR) has been widely applied in environmental and biological education, prior studies mainly focus on general species and lack contextual integration of locally endemic flora into conservation learning. This study addresses this gap by developing a location-specific AR-based learning application that integrates scientific botanical data with interactive visualization to enhance local environmental literacy. The development process follows the Multimedia Development Life Cycle (MDLC), including concept, design, material collection, assembly, testing, and distribution. The evaluation involved 15 respondents, including administrators and adult visitors of the Balikpapan Botanical Garden, using a five-point Likert scale to assess technical feasibility, educational value, engagement potential, conservation relevance, and technical stability. The results indicate a high level of acceptance, particularly in educational value and engagement aspects, demonstrating the effectiveness of the application as a learning medium. These findings suggest that AR-based applications can support environmental education by providing immersive and interactive learning experiences aligned with constructivist learning theory and Mayer’s Cognitive Theory of Multimedia Learning

Business Intelligence-Based Risk Analysis Approach to Prevent Accidents in Overhead Crane Operations

Ridwan Kurniaji — 2026-07-27

Overhead crane operations remain a high-risk activity in heavy manufacturing, yet safety management often relies on static assessments that fail to capture real-time operational dynamics. In developing economies such as Indonesia, a significant digital gap hinders the adoption of high-cost IoT solutions, leaving safety data fragmented and reactive. This study aims to bridge this gap by developing and validating a Business Intelligence (BI) Safety Dashboard that utilizes bridge technologies, defined as cost-effective digital solutions that leverage existing administrative and operational data instead of dedicated IoT infrastructure, to provide real-time predictive risk insights. Following a Design Science Research (DSR) framework, a three-year longitudinal study (2024–2026) was conducted at a metal fabrication facility in West Java. A Weighted Dynamic Risk Score (WDRS) was formulated using Data Analysis Expressions (DAX), integrating incident logs, maintenance records, and operator certification data into a unified star schema model. The results demonstrate a 95% reduction in data processing time and a 30% increase in near-miss reporting. The proposed artifact successfully identified critical risk outliers, such as Crane 08 (WDRS = 8.3), and generated spatiotemporal heatmaps that pinpointed specific risk hotspots within the facility. These findings confirm that the BI Dashboard is a feasible and highly practical solution for resource-constrained environments, providing a scalable blueprint for Indonesian SMEs to achieve Industry 4.0 safety standards by leveraging existing administrative data for predictive maintenance and proactive safety interventions.

Technology-Mediated Sustainability of Organizational Change: Leadership Support and HR Capacity in Public Training

Jerry Marantika — 2026-09-01

Sustaining organizational change following public-sector leadership training remains a major challenge, as post-training innovations frequently fail to become institutionalized due to leadership turnover and staff rotation. Although widely studied, empirical evidence explaining how leadership, human resources, and technology interact to sustain public-sector change remains limited. This study investigates the mediating role of Technology Utilization in the relationship between Leadership Support, Human Resource Capacity, and the Sustainability of Change Actions following the Administrator Leadership Training (PKA) at PPSDM Regional Bukittinggi, Indonesia. Using a quantitative explanatory design, data from 135 alumni were analyzed via Structural Equation Modeling Partial Least Squares (SEM-PLS). The results indicate that Technology Utilization significantly drives change sustainability (β = 0.421, p < 0.05) and mediates the effects of Leadership Support (β = 0.208, p < 0.05) and Human Resource Capacity (β = 0.180, p < 0.05). Conversely, direct effects of leadership and human resources were not statistically significant, demonstrating that sustainability relies on technology-enabled institutionalization rather than leadership or human capability alone. The model explains 75.2% of the variance in sustainability (R2 = 0.752). This study proposes the Technology-Mediated Sustainability of Change (TMSC) framework, extending Socio-Technical Systems Theory by positioning technology as the institutional mechanism transforming leadership support and human resource capacity into sustainable organizational practices. The findings offer practical guidance for government institutions and training providers to strengthen digital governance, knowledge management, and technology-enabled systems to ensure long-term change sustainability

A Digital Health Education Intervention to Improve Breast Self-Examination Knowledge among Adolescent Girls

Mestiana Br Karo — 2026-09-15

Breast cancer remains a major health concern among women, as delayed detection contributes to high morbidity and mortality. Breast Self-Examination (BSE) is a simple and accessible method for early detection, yet limited knowledge of BSE among adolescents remains a concern. This study aimed to assess changes in adolescent girls’ knowledge of breast cancer early detection following BSE health education at SMA Santo Thomas 1 Medan. A quantitative study using a pre-experimental one-group pre-test–post-test design was conducted. The participants consisted of 54 Grade XI female students who were selected through simple random sampling. Data were collected using a 13-item knowledge questionnaire administered before and after the intervention. The data were analyzed using the Wilcoxon signed-rank test at a significance level of p < 0.05. Prior to the intervention, most respondents demonstrated adequate knowledge (70.4%), while 20.4% had poor knowledge and 9.3% had good knowledge. After the intervention, the proportion of respondents with good knowledge increased to 87%, while 13% demonstrated adequate knowledge. The Wilcoxon analysis demonstrated a statistically significant difference in knowledge scores between the pre-test and post-test (p < 0.001). These findings indicate that BSE health education was associated with an improvement in adolescent girls’ knowledge and may inform school-based breast cancer health education programs.

Long-Term Performance Evaluation of Acid Mine Drainage Treatment Technologies: A Systematic Literature Review

Marwita Marwita — 2026-10-20

Acid Mine Drainage (AMD) remains a persistent environmental challenge due to its low pH and high concentrations of dissolved metals. This study aimed to evaluate the long-term performance of AMD treatment technologies through a systematic literature review. Following the PRISMA framework, 29 peer-reviewed studies published between January 2022 and March 2026 were analyzed from Scopus, ScienceDirect, Web of Science, and Google Scholar. The studies were classified into active, passive, hybrid/emerging, and biological treatment technologies. Active treatment provided rapid pH correction and high metal removal efficiency but was constrained by sludge generation, reagent consumption, and operational costs. Passive systems required less operational input but experienced performance deterioration associated with substrate depletion, clogging, and inconsistent contaminant removal. Hybrid/emerging technologies demonstrated promising potential for improving treatment efficiency and resource recovery; however, long-term field validation remains limited. Biological technologies also showed potential for sulfate reduction and metal recovery, although their long-term applicability remains constrained by substrate requirements and environmental sensitivity. From a sustainable-development perspective, AMD treatment is directly relevant to SDG 6, particularly Targets 6.3 and 6.6, and is also connected to SDG 12.2 on sustainable resource use and SDG 13.1–13.2 on climate resilience and planning. Overall, long-term AMD treatment assessment should integrate technical performance, operational sustainability, environmental recovery, field-scale validation, resource recovery, and measurable contributions to relevant SDG targets.

A Conceptual Framework for Artificial Intelligence Readiness in Management Education

Abdul Hamid Arribathi — 2026-09-26

Artificial Intelligence (AI) is increasingly transforming educational and professional environments, highlighting the importance of individual readiness for responsible technology adoption. This study examines individual AI readiness in management education through a literature-based conceptual review of the Artificial Intelligence Readiness Scale (AIRS). The analysis focuses on four dimensions: self-efficacy and cognition, optimism, collaborative learning and working, and comfort. By synthesizing relevant literature, this study develops a conceptual framework connecting these dimensions with educational competencies, contextual learning indicators, and strategies for AI readiness development. The findings suggest that AI readiness extends beyond technical proficiency by incorporating cognitive, attitudinal, collaborative, and psychological factors. The proposed framework highlights the relevance of AI literacy, analytical reasoning, collaborative problem-solving, and psychological comfort in AI-supported management education. Furthermore, the conceptual evaluation identifies potential strengths and limitations of AIRS, particularly in distinguishing perceived readiness from demonstrated competence and actual AI adoption. These findings provide practical considerations for educational institutions seeking to design targeted training programs and responsible AI integration strategies. As the proposed framework has not been empirically validated, further research is required to evaluate its applicability and effectiveness among students, lecturers, and management professionals.

The Evolving Role of Traditional Banks in the Fintech Era

Muna Azuddin — 2025-10-26

Traditional banks have long operated under a “fortress model” built on regulatory protection, proprietary infrastructure, and closed value chains, but fintech competition is pressing them toward open and collaborative ecosystems. Prior studies examine fintech disruption, open banking, and bank-fintech partnerships separately, leaving unclear how banks’ strategic identity changes. This study examines how incumbent banks reinterpret their competitiveness and redesign their value proposition through cross-industry partnerships, Application Programming Interface (API)-based services, digital onboarding, and modular financial platforms. A qualitative multi-case study was conducted using document analysis of regulatory frameworks, strategic reports, and partnership announcements from 2021 onward, covering purposively selected banks in Asia and Europe. Thematic coding and a three-level rating of four analytical dimensions were used to derive three transformation archetypes, namely Digitalized Fortress, Hybrid Value Orchestrator, and Ecosystem Platform Leader. The results show that banks integrating digital capabilities, organizational ambidexterity, and innovation governance tend to reposition themselves as orchestrators, and that partnership quantity does not equate to transformation depth. The pace and depth of this shift vary with legacy system rigidity, cultural inertia, and regulatory openness. The study concludes that ecosystem integration is a potential but not universally inevitable trajectory, requiring strategic clarity, technological interoperability, and trust-based collaboration. The future of banking is thus defined not by digital adoption alone but by institutional adaptability and cooperative value creation.

Debt Crowdfunding Growth and MSME Credit Risk in Indonesia’s Sustainable Digital Economy

Rizki Galang Rahmadan — 2026-10-28

Micro, Small and Medium Enterprises (MSMEs) in Indonesia often lack the collateral that banks require, and Peer-to-Peer (P2P) lending, the debt form of crowdfunding, has become a channel through which they raise capital in the digital economy. Lending now grows fastest outside Java, where platforms hold the shortest records on their borrowers. This study builds a monthly panel of 34 provinces from official statistics of the Financial Services Authority (Otoritas Jasa Keuangan/OJK) for December 2023 to December 2024 and estimates two-way fixed-effects models with standard errors clustered by province. The models test whether faster growth of outstanding loans is followed by a higher share of loans more than 90 days overdue (Tingkat Wanprestasi 90 Hari / TWP90) and whether this link differs between Java and the other regions. Outstanding loans rose by 29.1% to Rp 77.02 trillion, by 20.5% in Java and by 57.8% elsewhere, and MSMEs held 36.7% of the stock at the end of 2024. Current growth shows no significant link with TWP90. Growth three months earlier is followed by a lower TWP90 in Java, with a coefficient of −0.084 (p < 0.01), while outside Java the coefficient is only −0.011 (p = 0.079), and the gap between the two regions is significant (p < 0.01). Rapid P2P expansion was not associated with higher TWP90 during the study period, while the observed negative relationship between earlier loan growth and TWP90 in Java was substantially weaker outside Java. Platforms and regulators therefore need closer credit assessment where lending grows fastest if debt crowdfunding is to support MSME capital formation and the targets of Sustainable Development Goals 8 and 9. The evidence is associational and covers thirteen months, so longer panels with data specific to MSMEs are needed.

Conceptual Framework for AI Enabled Learning and Sustainable Organizational Development

Anas Abudaqa — 2026-10-30

Artificial Intelligence (AI) offers opportunities to transform organizational learning and strengthen sustainable development. However, existing research often examines AI capability, organizational learning, digital innovation strategy, and sustainability separately. This study aims to develop an integrated conceptual framework explaining how AI-enabled organizational learning may contribute to sustainable organizational development. An integrative literature review was conducted using structured searches of Scopus, Web of Science, and ScienceDirect, supplemented by citation tracking through Google Scholar. Thirty-one scholarly sources were synthesized according to their theoretical constructs, explanatory mechanisms, and levels of analysis. The framework integrates the Resource-Based View, Dynamic Capability Theory, Technology-Organization-Environment framework, and technology acceptance theories. The study proposes an Artificial Intelligence-Enabled Learning Ecosystem (AILE) framework comprising four direct propositions linking AI Capability, AI-Enabled Learning Ecosystem, Digital Innovation Strategy, and Sustainable Organizational Development. Two additional propositions identify employee engagement and technology acceptance, alongside resource efficiency and AI governance, as moderating conditions. The framework also introduces organizational sustainability indicators, a resource cost-benefit assessment, and a four-stage implementation roadmap. The proposed framework offers a theoretical foundation for examining how AI-supported learning can contribute to organizational resilience, workforce development, and responsible digital innovation. Its potential relevance extends to SDGs 4, 8, and 9. As the framework remains conceptual, longitudinal and multilevel empirical studies are required to validate the proposed relationships and assess their practical effectiveness.

Market Expansion Through B2B Business Model Transformation into Vendor-Owned Digital Marketplaces

Abdul Wahab Abdul Rahman — 2026-10-30

Traditional business-to-business (B2B) vendor models rely on direct relationships, long-term contracts, and established distribution channels. These models provide stable transactions but limit market reach, increase dependence on a few buyers, and slow responses to changing demand. Prior studies explain why firms adopt digital platforms, but rarely how an established vendor redesigns its business model into its own marketplace, or how relationship-based channels can coexist with it. This study examines market expansion strategies through the transformation of traditional B2B vendor models into vendor-owned digital marketplaces, in which the vendor acts as platform owner rather than as a participant in a third-party marketplace. It uses a qualitative descriptive approach supported by a structured literature review and conceptual analysis. The review followed a structured procedure of identification, screening, eligibility assessment, and synthesis, and the selected studies were analyzed using thematic synthesis. The analysis shows that successful transformation requires more than adopting a digital platform. It depends on enabling capabilities, namely organizational readiness (including digital skills), digital infrastructure, process integration, customer data management, and digital marketing capability, and on channel governance that protects existing B2B relationships. The study proposes a staged hybrid framework of six constructs and six propositions, and identifies risks such as channel conflict, integration cost, and insufficient demand. Integrating traditional B2B strengths with digital marketplace capability creates a more flexible, scalable, and market-oriented business model. Market expansion emerges from capability-based transformation, not platform adoption alone. The propositions require empirical validation through survey-based or comparative case studies.