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All Journal Aptisi Transactions on Management Aptisi Transactions on Technopreneurship (ATT) ADI Bisnis Digital Interdisiplin (ABDI Jurnal) Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi Blockchain Frontier Technology (BFRONT) Journal of Computer Science and Technology Application JOT
Ramiro Santiago Ikhsan
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Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Library & Information Science Social Sciences Other

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Trust Based Social Commerce Price and Consumer Behavior in Jastip Indonesia Suryari Purnama; Cicilia Sriliasta Bangun; Ramiro Santiago Ikhsan
APTISI Transactions on Management (ATM) Vol 10 No 2 (2026): ATM (APTISI Transactions on Management: May)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v10i2.2636

Abstract

The rapid growth of social commerce in Indonesia has given rise to informal digital business models such as Jastip (Jasa Titip) personal shopping service, which represents a grassroots form of digital transformation among Micro, Small, and Medium Enterprises (SMEs). Operating entirely through digital platforms such as Instagram and WhatsApp, Jastip exemplifies how technology- driven commerce is reshaping consumer behavior and SME competitiveness beyond formal marketplace structures. This study empirically examines the influence of three key digital commerce antecedents, Online Customer Review (OCR), Shopping Experience (SE), and price on Online Purchase Intention (OPI), mediated by Consumer Trust (CT), in the Jastip context. A quantitative approach was employed using Structural Equation Modeling (SEM-LISREL) with 115 respondents from Generation Y (aged 24–39 years). Results demonstrate that price is the only antecedent with a significant direct effect on consumer trust (t-value = 2.84), which in turn strongly predicts online purchase intention (t-value = 5.76). Consumer trust fully mediates the price purchase intention relationship (complete mediation), while OCR and shopping experience were not found to significantly predict trust in this informal digital commerce context. These findings offer strategic implications for Jastip operators and digital SME policymakers, emphasizing that transparent pricing and trust architecture are the primary digital levers for driving purchase intention in informal social commerce platforms.
Development of Blockchain Based System for Secure Student Data Management Ariesya Aprillia; Ana Theriana; Syaifuddin Syaifuddin; Fhia Amelia; Ramiro Santiago Ikhsan
Blockchain Frontier Technology Vol. 5 No. 2 (2026): Blockchain Frontier Technology
Publisher : IAIC Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/bfront.v5i2.922

Abstract

Student data management in Indonesian higher education institutions continues to face challenges such as data duplication, academic record manipulation, limited transparency, and weak interoperability caused by centralized databases. These issues hinder institutional credibility, administrative efficiency, and trusted academic governance. This study aims to conceptually develop a blockchain based framework to enhance data integrity, transparency, and efficiency in student data management. Using a qualitative descriptive and comparative approach, the research analyzes existing blockchain models and integrates technological and managerial perspectives to design a permissioned blockchain system supported by smart contracts. The proposed framework focuses on automating academic data validation, strengthening access control, and enabling secure inter-institutional data exchange. Comparative findings indicate that blockchain offers immutability, traceability, and accountability, positioning it as a transformative innovation for academic governance. The study provides a conceptual foundation for universities and policymakers to adopt secure and interoperable blockchain-based academic data systems aligned with Indonesia digital transformation agenda in higher education. Future research is recommended to simulate or pilot the model for practical evaluation and implementation.
Digital Transformation as a Strategy for Building Adaptive Pesantren Management Systems Fitra Putri Oganda; Po Abas Sunarya; Marviola Hardini; Sondang Visiana Sihotang; Ramiro Santiago Ikhsan; Maulana Abbas
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 and Big Data in Advancing Mathematical Literacy Cybersecurity’s Moderating Role Sumliyah; Wardono; Scolastika Mariani; Stevanus Budi Waluya; Emi Pujiastuti; Ramiro Santiago Ikhsan
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.  
AI Framework for Synthesizing Qualitative User Feedback A Literature Review Santa Lusianna Sitorus; Ratih Komala Dewi; Vika Febrian; Muhammad Faris Ariq; Ramiro Santiago Ikhsan
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.
Transforming Higher Education Management through Evidence Based and Data Oriented Approaches Galih Putra Cesna; Sonny Agustiawan; Aropria Saulina Panjaitan; Suryari Purnama; Ramiro Santiago Ikhsan
Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi Vol 4 No 2 (2026): March
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/mentari.v4i2.951

Abstract

Amid the rapid advancement of digital transformation, higher education institutions are increasingly required to enhance management effectiveness and decision-making quality through the adoption of data-driven innovations. The background of this study highlights the importance of employing an evidence based approach to address the complex managerial and academic challenges faced by universities. The main objective of this research is to analyze how the implementation of data-oriented approaches can drive transformation in higher education governance, particularly in improving institutional performance, administrative efficiency, and strategic planning. This study employs a mixed method approach by combining quantitative analysis of institutional data with 50 qualitative interviews involving academic leaders to explore the relationship between data utilization and institutional management outcomes. The findings reveal that universities implementing robust data governance systems and optimizing analytical tools experience significant improvements in decision-making effectiveness, resource allocation, and stakeholder engagement, resulting in more transparent and adaptive management systems. Furthermore, the study finds that the success of data-driven management is not solely determined by technological readiness but also by organizational culture, leadership commitment, and the data literacy of personnel. In conclusion, the adoption of evidence-based and data-oriented management approaches can significantly transform higher education institutions into more innovative, responsive, and accountable entities capable of adapting to global changes and challenges in the academic landscape.
Sharia-Guided Artificial Intelligence for Ethical Transformation in Modern Education Muchlishina Madani; Harry Agustian; Adam Faturahman; Asep Sutarman; Ramiro Santiago Ikhsan
Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi Vol 4 No 2 (2026): March
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/mentari.v4i2.975

Abstract

The rapid advancement of digital technologies has accelerated the integration of Artificial Intelligence (AI) into educational systems worldwide. Despite its benefits, concerns about ethics, algorithmic bias, transparency, and value alignment remain significant, particularly in faith-based educational institutions that emphasize moral and spiritual development. This study aims to propose a Sharia-Guided Artificial Intelligence (SGAI) model that supports ethical, accountable, and value-oriented transformation in modern education. The research employs a mixed-method approach by combining qualitative analysis of Islamic educational principles and ethical frameworks with quantitative evaluation of AI-supported governance practices in educational institutions. Data were collected from educators, administrators, and students within Islamic educational environments to assess the feasibility, acceptance, and integrity of AI implementation within a Sharia-compliant framework. The results indicate that AI systems guided by Sharia principles can improve curriculum personalization, administrative efficiency, transparency, and institutional accountability while reducing algorithmic bias and maintaining ethical values in educational processes. Furthermore, the proposed model encourages responsible data governance, ethical decision-making, and inclusive learning environments supported by intelligent technologies. The integration of intellectual, ethical, social, and spiritual dimensions also strengthens holistic educational development. In conclusion, embedding faith-based ethical intelligence into AI-driven educational management can foster sustainable, trustworthy, and socially responsible innovation while providing a practical framework for value-aligned AI adoption in education.
Determinants of Student Loyalty in Higher Education Through a Systematic Review Bonar Napitupulu; Istajib Kulla Himmy Azz; Dhaniel Hutagalung; Dwi Ferdiyatmoko Cahya Kumoro; Ramiro Santiago Ikhsan
APTISI Transactions on Management (ATM) Vol 10 No 3 (2026): ATM (APTISI Transactions on Management: September)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/zhazx763

Abstract

Student loyalty has become an important issue in higher education. However, the existing literature remains fragmented, with discussions spread across service quality, digital service quality, institutional image, and social responsibility. This review examines how these different streams of research come together in explaining student loyalty. A total of 47 English-language empirical journal articles published between 2000 and 2025 were selected for analysis. Scopus was used as the primary database, and the review followed the PRISMA approach. The findings indicate that, in face-to-face settings, service quality dimensions such as responsiveness, reliability, and empathy play an important role in shaping student satisfaction and trust, which then support loyalty. In digital settings, however, loyalty is influenced not only by responsiveness, but also by ease of use, system availability, privacy, and security. The review further shows that institutional image, reputation, and CSR/USR-related initiatives can strengthen loyalty by reinforcing students’ positive evaluations of and attachment to their institutions. At the same time, the reviewed studies vary considerably in terms of context, ownership type, delivery mode, and measurement approach. This variation helps explain why the reported loyalty pathways are not always consistent. Overall, this review brings together several strands of the student loyalty literature and highlights the importance of more context-sensitive and methodologically robust research in the future.
Digital Edupreneurship and Teacher Agency Enhancing English Teaching Competencies in the Independent Curriculum Ana Theriana; Sri Wuli Fitriati; Rahayu Puji Haryanti; Khatarina Rustipa; Ramiro Santiago Ikhsan; Ripda Erwin
Aptisi Transactions On Technopreneurship (ATT) Vol 8 No 3 (2026): November
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v8i3.686

Abstract

This study examines the role of teacher agency in enhancing the competencies of English teachers in the implementation of the Independent Curriculum in Indonesia. The research focuses on secondary school English teachers who were categorized based on their response to curriculum changes: proactive, reactive, and passive. The findings reveal that teachers exhibiting proactive teacher agency are more agile in adapting to the Independent Curriculum and demonstrate greater development in their pedagogical, social, and professional skills. They leverage the autonomy offered by the Independent Curriculum to innovate teaching practices, incorporating technology and interactive learning approaches. On the other hand, teachers with reactive responses require additional support, including training, time, and resources, to adjust effectively, while those with passive responses tend to cling to traditional teaching methods, showing resistance to change, which hinders their competency development. These results highlight the need for continuous professional development, adequate resources, and collaboration among teachers to ensure the successful adoption of the Independent Curriculum. Structural support and improved communication between schools and teachers are essential to facilitate the effective participation of all teachers, regardless of their level of agency, in implementing the new curriculum.
Anxiety Prediction Model Based on Smartwatch Activity Data and Self-Reported Affect Scale in Adolescents Po Abas Sunarya; Mohd Faiz Hilmi; Nesti Anggraini Santoso; Sondang Visiana Sihotang; Ramiro Santiago Ikhsan
Journal of Orange Technology Vol. 2 No. 1 (2025): October
Publisher : Sinar Mentari Sundara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.68012/jot.v2i1.43

Abstract

This study proposes an anxiety prediction model based on smartwatch activity data integrated with a self-reported affect scale in adolescents. Anxiety among adolescents is a growing public health concern, often underdetected due to subjective assessment and limited continuous monitoring. To address this gap, this research combines objective physiological and behavioral indicators collected from smartwatches, including heart rate variability, sleep duration, physical activity intensity, and daily movement patterns, with subjective emotional states measured through a validated affect scale. Data were collected longitudinally from adolescent participants over several weeks to capture temporal variations in activity and mood. Machine learning techniques were applied to develop and evaluate predictive models capable of identifying anxiety levels with high accuracy. Model performance was assessed using standard metrics such as accuracy, precision, recall, and F1-score. The results demonstrate that the integration of wearable sensor data with self-reported affect significantly improves anxiety prediction compared to single-source data models. The proposed model offers a scalable, non-invasive, and real-time approach for early anxiety detection, supporting timely intervention and personalized mental health monitoring for adolescents. This study contributes to the development of human-centered digital health technologies and highlights the potential of wearable-based analytics in preventive mental healthcare systems for future applications.
Co-Authors Adam Faturahman Ana Theriana Ariesya Aprillia Aropria Saulina Panjaitan Asep Sutarman Bangun, Cicilia Sriliasta Bonar Napitupulu Dhaniel Hutagalung Dwi Ferdiyatmoko Cahya Kumoro Emi Pujiastuti Fhia Amelia Fitra Putri Oganda Galih Putra Cesna Harry Agustian Istajib Kulla Himmy’azz Khatarina Rustipa Marviola Hardini Maulana Abbas Mohd Faiz Hilmi Muchlishina Madani Muhammad Faris Ariq Nesti Anggraini Santoso Po Abas Sunarya Po Abas Sunarya Rahayu Puji Haryanti Ratih Komala Dewi Ripda Erwin Santa Lusianna Sitorus Scolastika Mariani Sondang Visiana Sihotang Sondang Visiana Sihotang Sonny Agustiawan Sri Wuli Fitriati St. Budi Waluya Sumliyah Suryari Purnama Syaifuddin Syaifuddin Vika Febrian Wardono Wardono