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All Journal ADI Journal on Recent Innovation (AJRI) ADI Bisnis Digital Interdisiplin (ABDI Jurnal) International Transactions on Artificial Intelligence (ITALIC) Journal of Computer Science and Technology Application
Ikhsan, Ramiro Santiago
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Religion Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Industrial & Manufacturing Engineering Library & Information Science Other

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AI and Big Data in Advancing Mathematical Literacy Cybersecurity’s Moderating Role Sumliyah; Wardono; Mariani, Scolastika; Budi Waluya, Stevanus; Pujiastuti, Emi; Ikhsan, Ramiro Santiago
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.v2i2.109

Abstract

In today’s rapidly evolving digital landscape, mathematical literacy has emerged as a crucial competency for students navigating data-intensive environments. The integration of Artificial Intelligence (AI) and Big Data in education holds transformative potential to enhance personalized learning and support data-driven teaching strategies, yet it also raises critical concerns around Cybersecurity, particularly in safeguarding student data and ensuring trust in digital platforms. This study aims to analyze the effects of AI and Big Data on mathematical literacy, while examining the moderating role of Cybersecurity. Using a quantitative research approach, data were collected through a structured questionnaire and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) via SmartPLS 3. The results indicate that both AI and Big Data have significant positive effects on students’ mathematical literacy, with Big Data exerting the strongest influence through its ability to provide deep insights into student performance. AI also contributes effectively by enabling real-time feedback, adaptive learning, and personalized instruction. Although Cybersecurity demonstrated a weaker direct effect on mathematical literacy, it remains an essential enabler of a secure digital learning environment, fostering user trust and system integrity. This research highlights the importance of aligning educational technology implementation with strong digital safeguards to maximize learning outcomes. The findings offer managerial implications for educational institutions to invest in intelligent learning platforms supported by robust cybersecurity protocols. Ultimately, the study reinforces the relevance of SDG 4: Quality Education, by promoting inclusive, safe, and tech-enhanced learning ecosystems suited for the demands of 21st-century education.  
Integrating MidJourney Scripts into Architectural Design for Aesthetic Innovation Aini, Qurotul; Setiyowati, Harlis; Ikhsan, Ramiro Santiago; Amroni, Amroni; Pasha, Lukita
International Transactions on Artificial Intelligence Vol. 4 No. 1 (2025): November
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/italic.v4i1.955

Abstract

The use of Artificial Intelligence (AI) in creative disciplines, particularly architecture, has introduced a paradigm shift in how design concepts are developed and visualized. This research explores the integration of MidJourney generative scripts within the architectural design process. Using a hybrid methodology of qualitative observation and computational experimentation, this study evaluates how AI-driven image generation influences form exploration, material perception, and aesthetic decision-making. The main objective is to identify how AI-based generative systems, specifically MidJourney, can enhance conceptual creativity and accelerate the design iteration cycle in architectural practice. Unlike previous procedural models limited to parametric control, this study introduces an adaptive AI human feedback mechanism enabling continuous co-evolution between designer intent and machine generation. Our findings indicate that AI-assisted workflows enhance the production of innovative architectural compositions, offering greater visual diversity, while simultaneously enhancing creative efficiency and reducing design fatigue. Quantitatively, AI integration improved design iteration speed by 65% and increased aesthetic consistency scores from 78% to 91%, compared to traditional workflows. Integrating MidJourney generative scripting into architectural workflows creates a dynamic feedback loop between human intuition and machine creativity, leading to a new model of aesthetic co-creation that expands the boundaries of contemporary architectural design.
Digital Transformation as a Strategy for Building Adaptive Pesantren Management Systems Oganda, Fitra Putri; Sunarya, Po Abas; Hardini, Marviola; Sihotang, Sondang Visiana; Ikhsan, Ramiro Santiago; Abbas, Maulana
ADI Bisnis Digital Interdisiplin Jurnal Vol 6 No 2 (2025): ADI Bisnis Digital Interdisiplin (ABDI Jurnal)
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/abdi.v6i2.1195

Abstract

Digital transformation has become a central force in reshaping the educational ecosystem in the era of Industry 4.0. In Islamic education, particularly within pesantren, digitalization plays a strategic role in improving digital literacy, promoting social inclusion, and strengthening community engagement. This study aims to examine how digital transformation can be effectively implemented in pesantren management through adaptive strategies that integrate technology, learning innovation, and organizational governance. A qualitative approach was used, with data collected from 30 in-depth interviews involving educators, students, pesantren administrators, parents, and educational technology experts. Additional data were obtained through 3–5 observations of digital activities, internal documentation, and a review of 25–40 relevant academic sources. Data analysis was conducted through data reduction, thematic categorization, and triangulation across interviews, observations, and documentation. The findings show that digital transformation enables pesantren to enhance management adaptability, improve learning experiences, and strengthen collaboration with external stakeholders. The success of these digital initiatives is influenced by leadership commitment, human resource readiness, and community participa- tion. The study also highlights that digital literacy programs support students’ preparedness for an increasingly technology-driven global environment. This study contributes to the discourse on digital education in Islamic institutions by offering practical insights for policymakers and pesantren leaders in balancing tradition with innovation, emphasizing the need for strategic planning and capacity development to ensure sustainable and mission-aligned digital practices.
AI Framework for Synthesizing Qualitative User Feedback A Literature Review Sitorus, Santa Lusianna; Dewi, Ratih Komala; Vika Febrian; Muhammad Faris Ariq; Ikhsan, Ramiro Santiago
CORISINTA Vol 3 No 1 (2026): February
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/r1yewe47

Abstract

The increasing reliance on user-centered design in digital product development has intensified the need for systematic approaches to transforming qualitative user feedback into actionable insights for UX and UI decision-making. Although qualitative feedback provides rich understanding of user motivations, frustrations, and contextual behaviors, product teams often face challenges such as data ambiguity, interpretive bias, information overload, and weak alignment between research outcomes and product strategy. This literature review aims to synthesize existing academic research and industry practices to propose a structured framework that bridges qualitative analysis and technology-driven product decisions. Using a qualitative research design based on framework analysis, this study reviews established methods including user interviews, usability testing, open-ended surveys, thematic analysis, and affinity-based synthesis. These approaches are integrated into a four-step framework consisting of feedback coding, theme identification, alignment with product objectives, and formulation of actionable insights. The findings of this review suggest that applying a structured synthesis process enhances analytical clarity, improves traceability between user feedback and design actions, and supports more consistent prioritization in UX/UI practices. Illustrative applications drawn from prior studies demonstrate how the framework can translate qualitative insights into concrete design recommendations without relying on empirical experimentation. This study concludes that qualitative user feedback delivers meaningful value only when processed through a systematic synthesis mechanism that connects user narratives with strategic and operational product decisions, providing a conceptual foundation for data-driven and AI-supported UX/UI design environments.
Integrating AI-Driven Predictive Analytics and Smart Contracts for Data-Driven Supply Chain Risk Management Pujiati, Tri; Kamil, Mustofa; Silawati, Nur; Ikhsan, Ramiro Santiago
ADI Journal on Recent Innovation Vol. 7 No. 1 (2025): September
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ajri.v7i1.1318

Abstract

Global supply chains face increasing uncertainty, while traditional risk management often lacks adaptability. This study investigates how AI driven predictive analytics and smart contracts enhance resilience, using mixed methods with case studies and big data analysis. A mixed method approach was employed, combining big data analytics from supply chain networks with machine learning models for predictive forecasting, supported by case studies from multinational manufacturing and logistics companies as well as secondary data from industry reports. The findings reveal that AI driven predictive models significantly improve demand forecasting accuracy, identify potential disruptions earlier, and enhance supplier risk assessment compared to conventional approaches, while integrating data from IoT enabled devices provides real time visibility across logistics operations. Overall, AI powered predictive analytics demonstrates substantial potential in transforming risk management within global supply chains by enabling proactive strategies and resilience, allowing organizations to reduce vulnerabilities, optimize performance, and strengthen competitiveness in dynamic markets, with future research suggested to explore the integration of blockchain for transparency and ethical governance in supply chain ecosystems.
Co-Authors Abbas, Maulana Amroni, Amroni Budi Waluya, Stevanus Emi Pujiastuti Fitra Putri Oganda Harlis Setiyowati Marviola Hardini Muhammad Faris Ariq Mustofa Kamil, Mustofa Pasha, Lukita Po Abas Sunarya Pujiati, Tri Qurotul Aini Ratih Komala Dewi Scolastika Mariani Sihotang, Sondang Visiana Silawati, Nur Sitorus, Santa Lusianna Sumliyah, Sumliyah Vika Febrian Wardono