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THE ROLE OF ISLAMIC LAW IN SHAPING SUSTAINABLE ECONOMIC MODELS: EVIDENCE FROM INDONESIA’S SHARIAH-COMPLIANT INVESTMENT MARKET Dadin Solihin; Haziq Idris; Rinah Farah; Nurul Huda; Siti Hasanah
Sharia Oikonomia Law Journal Vol. 3 No. 1 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/solj.v3i1.1950

Abstract

The global shift toward sustainable economic models has sparked interest in the potential of Islamic finance to promote ethical and environmentally friendly investments. Indonesia, as the world’s largest Muslim-majority country, has seen significant growth in its Shariah-compliant investment market. This study explores how Islamic law influences the development of sustainable economic models within this market. The research aims to analyze the role of Islamic law in shaping sustainable economic practices in Indonesia’s Shariah-compliant investment market, identifying key drivers, challenges, and opportunities for growth. A mixed-methods approach is employed, combining quantitative analysis of investment data from Shariah-compliant funds and qualitative interviews with industry experts, Shariah scholars, and investors. Data were analyzed using thematic analysis for qualitative insights and statistical tools for quantitative data. The findings reveal that Islamic law significantly influences sustainable economic practices by promoting ethical investments, risk-sharing, and environmental stewardship. Shariah-compliant funds in Indonesia increasingly prioritize green investments and social impact projects, aligning with global sustainability goals.
The AI-Powered Dialogue: Evaluating the Impact of Large Language Models on EFL Learners’ Pragmatic Competence and Speaking Anxiety Delsa Miranty; Haziq Idris; Rina Farah
Journal Emerging Technologies in Education Vol. 4 No. 2 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jete.v4i2.3925

Abstract

Background. The rapid advancement of artificial intelligence has transformed language learning environments, particularly through the integration of Large Language Models (LLMs) that facilitate interactive and personalized communication practice. Despite their growing adoption in English as a Foreign Language (EFL) education, limited empirical attention has been devoted to understanding their influence on learners’ pragmatic competence and speaking anxiety. Purpose. This study aims to evaluate the impact of AI-powered dialogue systems based on LLMs on EFL learners’ ability to use language appropriately in social contexts and their confidence in oral communication. Method. A quantitative quasi-experimental design was employed involving 120 EFL learners divided into experimental and control groups. Data were collected through pragmatic competence assessments, speaking anxiety scales, classroom observations, and structured interviews. Results. Findings indicate that students who engaged with AI-powered dialogue systems demonstrated significantly higher gains in pragmatic competence compared to those receiving conventional instruction. Results also reveal a substantial reduction in speaking anxiety, attributed to the non-judgmental, adaptive, and accessible nature of AI-mediated interactions. Conclusion. The study concludes that LLM-based dialogue platforms provide meaningful opportunities for authentic communication practice while fostering psychological comfort in language learning. Integrating AI-powered dialogue into EFL instruction can therefore enhance communicative effectiveness and support learners’ confidence in real-world language use.
Interdisciplinary Approaches in Legal Studies: Combining Social Science and Data Science Unggul Sagena; Haziq Idris; Aiman Fariq; Omar Khan; Sunarno Sunarno
Rechtsnormen: Journal of Law Vol. 2 No. 4 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/rjl.v2i4.1258

Abstract

Background. The integration of interdisciplinary approaches in legal studies is increasingly recognized as essential for addressing complex societal issues. Combining social science and data science offers innovative ways to analyze legal phenomena, providing deeper insights and more robust solutions. Purpose. This study aims to explore the benefits and challenges of integrating social science and data science in legal studies. The research seeks to identify effective interdisciplinary methodologies, evaluate their impact on legal research outcomes, and propose frameworks for their implementation in legal academia and practice. Method. A mixed-methods research design was employed, utilizing both qualitative and quantitative approaches. The study involved a literature review, case studies, and expert interviews to gather insights into existing interdisciplinary practices. Additionally, data analysis techniques from social and data sciences were applied to legal datasets to demonstrate the potential of these methods in enhancing legal research. Results. The findings indicate that integrating social science and data science in legal studies significantly enhances the analytical depth and breadth of legal research. Case studies revealed successful applications of interdisciplinary methods in areas such as criminal justice, human rights, and regulatory compliance. Conclusion. The study concludes that interdisciplinary approaches combining social science and data science hold great promise for advancing legal studies. Implementing these methodologies can lead to more informed legal analyses, better policy recommendations, and enhanced legal education.
Technostress and Personnel Flourishing: A Longitudinal Study on the Impact of AI-Driven Monitoring on Psychological Well-being Mukhlis Mukhlis; Syafiq Amir; Haziq Idris
Journal of Social Science Utilizing Technology Vol. 4 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v4i1.3427

Abstract

The rapid integration of artificial intelligence (AI)–driven monitoring systems in contemporary workplaces has transformed performance management practices and intensified digital supervision. While such systems promise efficiency and data-driven decision-making, concerns have emerged regarding their psychological consequences. Technostress theory suggests that continuous technological exposure may generate strain, yet limited longitudinal evidence exists on how AI-based monitoring influences personnel flourishing over time. This study aims to examine the dynamic relationship between AI-driven monitoring intensity, technostress dimensions, and psychological well-being using a longitudinal framework. A three-wave panel design was implemented with full-time employees working in organizations utilizing AI-based performance analytics. Data were collected at four-month intervals and analyzed using cross-lagged structural equation modeling to assess causal pathways and moderating effects. Measures included monitoring intensity, technostress dimensions, flourishing indicators, perceived organizational support, and digital literacy. Results indicate that AI-driven monitoring significantly predicts increased technostress, particularly techno-invasion and techno-overload, which subsequently reduce personnel flourishing across time. Technostress mediates the relationship between monitoring and well-being, while organizational support buffers negative effects. Partial adaptation was observed but did not fully restore flourishing levels. The findings underscore the importance of human-centered AI governance to sustain psychological well-being in digitally monitored workplaces.
Collaborative Leadership in Crisis Management: A Case Study of Cross-Sectoral Policy Integration in Disaster Management in Indonesia Mulyaningsih Mulyaningsih; Haziq Idris; Rina Farah
Journal of Social Science Utilizing Technology Vol. 4 No. 2 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v4i2.3833

Abstract

Background. Indonesia faces increasingly complex disaster management challenges due to the high frequency of natural disasters and the involvement of multiple institutional sectors in crisis response processes. Fragmented governance structures, overlapping institutional responsibilities, and limited interagency coordination often hinder effective disaster management implementation. Collaborative leadership has therefore emerged as an important governance approach for strengthening cross-sectoral policy integration and improving institutional responsiveness during crisis situations. Purpose. This study aimed to examine the role of collaborative leadership in supporting cross-sectoral policy integration within disaster management systems in Indonesia. Method. Qualitative case study methodology was employed through in-depth interviews, field observations, and document analysis involving governmental agencies, humanitarian organizations, community leaders, and disaster management stakeholders across selected disaster-prone regions. Results. The findings revealed that collaborative leadership significantly improved communication quality, institutional trust, resource coordination, and policy coherence among participating stakeholders. Participatory decision-making, adaptive coordination mechanisms, and transparent communication systems were identified as critical factors supporting effective crisis governance and integrated disaster management implementation. Collaborative leadership additionally strengthened community participation and institutional flexibility during emergency response and recovery processes. Conclusion. This study concludes that collaborative leadership constitutes a strategic governance capacity for enhancing disaster resilience and strengthening integrated crisis management systems in Indonesia. Effective disaster governance therefore requires inclusive coordination structures, adaptive policy integration mechanisms, and sustained interorganizational collaboration across multiple governance sectors.
ANALYSIS OF SHARIA ECONOMIC LAW IN E-COMMERCE TRANSACTIONS Agus Satory; Haziq Idris; Sara Hussain
Sharia Oikonomia Law Journal Vol. 4 No. 3 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/solj.v4i3.4283

Abstract

E-commerce has expanded rapidly, yet its multilayered contractual structures create uncertainty regarding consent, ownership, financing, delivery, and consumer protection under Sharia economic law across increasingly complex and rapidly evolving markets. This study aimed to evaluate the Sharia compliance of e-commerce transactions and identify legal risks within digital commercial ecosystems. A mixed legal-research design combined normative juridical analysis, transaction auditing, platform-document review, consumer-complaint analysis, expert validation, and a structured Sharia Compliance Index. The dataset comprised 240 transactions, 96 platform documents, 72 verified complaints, and assessments from 18 experts. Results showed that 49.17% of transactions were fully compliant, 35.00% were conditionally compliant, and 15.83% were noncompliant. Direct marketplace sales achieved the highest compliance scores, whereas buy-now-pay-later and dropshipping models showed greater exposure to rib?, gharar, unclear ownership, hidden charges, misleading information, and unfair risk allocation. Price transparency, verified ownership or agency, delivery certainty, fair refund rights, and strong platform disclosure significantly increased compliance. The study concludes that e-commerce is permissible when the entire transaction architecture protects valid consent, lawful ownership, transparent pricing, consumer welfare, and equitable risk distribution. Comprehensive Sharia assessment must therefore examine sellers, platforms, financiers, suppliers, logistics providers, and digital interfaces rather than the primary sale alone.