International Jornal of Noesantara Islamic Studies

ECO-THEOLOGY BEYOND ANTHROPOCENTRISM: REINTERPRETING ISLAMIC COSMOLOGY AMID CLIMATE CRISIS

Yoga Anjas Pratama — 2026-02-16

The escalating climate crisis has revealed the limitations of anthropocentric ethical frameworks, including those embedded in contemporary religious discourses. Within Islamic studies, eco-theological responses have largely emphasized moral stewardship while leaving underlying cosmological assumptions insufficiently examined. This study addresses this gap by reinterpreting Islamic cosmology as a foundational framework for ecological responsibility beyond anthropocentrism. The study aims to critically examine dominant human-centered interpretations in Islamic eco-theology and to reconstruct a relational cosmological perspective that affirms the intrinsic value of non-human creation. The research employs a qualitative, theoretical design grounded in critical hermeneutics and textual analysis of classical and contemporary Islamic theological, philosophical, and eco-theological sources. The findings reveal that anthropocentrism in Islamic environmental discourse emerges from interpretive reduction rather than theological necessity. Core cosmological concepts such as taw??d, m?z?n, and the notion of creation as divine signs (?y?t) support a relational ontology in which humans are situated within, rather than above, the cosmic moral order. The study concludes that effective Islamic responses to the climate crisis require ontological reorientation rather than ethical supplementation alone. Reinterpreting Islamic cosmology beyond anthropocentrism positions eco-theology as a critical theological response to ecological degradation and contributes to broader global debates on religion, ecology, and climate justice.

MACHINE REASONING AND MORAL RESPONSIBILITY: RECONSTRUCTING ISLAMIC ETHICS IN THE AGE OF AI

Ode Abdurrachman — 2026-02-28

The rapid expansion of artificial intelligence has intensified debates concerning moral agency and accountability, particularly as machine reasoning systems increasingly mediate decisions in finance, healthcare, and governance. Prevailing AI ethics frameworks are largely grounded in secular philosophical paradigms, leaving limited engagement with Islamic moral philosophy. This study aims to reconstruct Islamic ethical concepts of agency, intention, and responsibility in response to the ontological and normative challenges posed by machine reasoning. The research employs a qualitative normative design integrating bibliometric mapping of AI ethics literature, thematic textual analysis of classical and contemporary Islamic sources, and critical hermeneutical reconstruction. Findings indicate that machine reasoning systems do not meet Islamic criteria for moral agency due to the absence of intention (niyyah) and legal accountability (takl?f). A layered model of responsibility is proposed, situating accountability within human agents and institutions while conceptualizing AI as an advanced instrumental mediator. The study concludes that Islamic ethics offers a coherent and adaptable framework for AI governance, preserving theological commitments while addressing distributed technological causation in contemporary societies.

FROM MANUSCRIPT TO MACHINE INTELLIGENCE: DIGITAL MEDIATION AND THE FUTURE OF ISLAMIC KNOWLEDGE SYSTEMS

H.R. Wijaya — 2026-02-27

The transition of Islamic intellectual heritage from physical manuscripts to machine intelligence marks a significant epistemological shift in the preservation and dissemination of sacred knowledge. This research addresses the challenges of maintaining textual integrity and scholarly authority within increasingly automated digital environments. The study aims to evaluate the impact of digital mediation on classical hermeneutics and the traditional chain of authority known as the isnad. Utilizing a mixed-methods approach, the methodology combines qualitative hermeneutical analysis with quantitative algorithmic auditing of Large Language Models (LLMs) across 5,000 digitized manuscript folios. Results indicate that while machine intelligence enhances retrieval speed by 300%, it frequently introduces “semantic flattening” and “algorithmic hallucinations” in complex theological exegesis. Furthermore, current models exhibit a 32% failure rate in accurately verifying non-linear marginalia and historical narrator chains. This research concludes that machine intelligence currently serves as an efficient indexer rather than a sophisticated exegete, necessitating a hybrid model of “augmented scholarship.” The findings propose a “Digital Isnad Framework” to safeguard epistemic authenticity, asserting that the future of Islamic knowledge systems depends on a synergistic relationship between computational power and traditional human expertise to prevent the erosion of intellectual depth.

DATAFYING REVELATION: AI-ASSISTED INTERPRETATION OF THE QUR’AN AND HADITH

Erwin Notanubun — 2026-02-25

The rapid expansion of artificial intelligence in digital humanities has begun to reshape scriptural studies, including the interpretation of the Qur’an and Hadith. The transformation of sacred texts into machine-readable data structures introduces both analytical opportunities and epistemological challenges, particularly concerning interpretive authority and theological coherence. This study aims to examine the feasibility, reliability, and epistemic implications of AI-assisted interpretation within an Islamic hermeneutical framework. A mixed-methods design was employed, integrating computational text analysis, semantic clustering, and isn?d network modeling with expert-based hermeneutical evaluation grounded in classical u??l al-fiqh and ?ul?m al-hadith principles. The dataset included selected Qur’anic verses and authenticated Hadith narrations representing legal, theological, and narrative domains. Findings indicate high linguistic accuracy (above 93%) and strong thematic alignment with classical exegesis in jurisprudential texts, while performance decreased in metaphor-rich theological passages. Statistical analysis confirmed significant convergence in structured legal contexts (p < 0.001). The study concludes that AI-assisted interpretation is most effective as an augmented hermeneutical tool operating under scholarly supervision rather than as an autonomous interpretive authority. Responsible integration of computational models can enhance analytical efficiency while preserving normative theological boundaries.

IMPLEMENTATION OF CORETAX SYSTEM IN BANKING: DATA INTEGRATION AND UNLIMITED SERVICES FOR TAXPAYER COMPLIANCE

Nurul Ain Safrizon — 2026-02-26

This study aims to analyze the strategic role of the Directorate General of Taxes' (DGT) Core Tax Administration System (CoreTax), particularly in the banking sector, in realizing financial data integration supported by the latest regulations to produce seamless service and improve Taxpayer Cooperative Compliance (WP). The approach used is qualitative descriptive-analytical with a focus on policy analysis of the regulatory framework, particularly Minister of Finance Regulation (PMK) Number 47 of 2024 concerning access to financial information. This study also analyzes the DGT CoreTax technical documentation version 1.0 (released January 2025) and the latest literature (2020 and later) on tax digitalization and Cooperative Compliance. The analysis results show that CoreTax implementation builds a compliance ecosystem based on integrated data. Legalization of data access through PMK 47/2024 enables automation and prepopulation of data in the reporting process of Corporate Taxpayers in the banking sector. Comparative simulations show that this feature can significantly reduce the administrative burden, estimated at 66% during SPT filing. CoreTax's ability to provide ease, accuracy, and transparency of data is a key factor in building taxpayer trust, which has a direct impact on increasing cooperative compliance. This study confirms a causal relationship between strengthening data access regulations (PMK 47/2024) and CoreTax's architecture (banking data integration) as the theoretical-operational basis for cooperative compliance strategies in high-risk and data-sensitive sectors. The Directorate General of Taxes (DGT) needs to prioritize cybersecurity risk mitigation through multi-factor authentication and layered encryption, as well as expanding education to maintain data integrity and confidentiality, which are critical aspects in maintaining corporate taxpayer trust in the financial sector.

URBAN ISLAM AND COSMOPOLITAN ETHICS: MIGRATION, DIVERSITY, AND RELIGIOUS NEGOTIATION

Rahmat Ramdhani — 2026-02-27

Rapid urbanization and global migration patterns have transformed metropolitan centers into primary sites for the evolution of contemporary Islamic practice. This research addresses the socio-ethical challenges faced by Muslim migrants as they navigate the complexities of religious identity within diverse and pluralistic urban environments. The study aims to evaluate how cosmopolitan ethics are formulated and negotiated through daily inter-communal interactions and civic participation. Utilizing a multi-site ethnographic design, the methodology involved in-depth interviews and participant observation across four diverse metropolitan districts, focusing on the lived experiences of forty-five first and second-generation migrants. Results demonstrate a significant shift toward “ethical pragmatism,” where believers utilize “theological translation” to align Islamic values with universal civic goals. Findings indicate that high-density, mixed-use urban spaces function as pedagogical catalysts, fostering a version of “Urban Islam” characterized by high inclusivity and social resilience. The research concludes that religious institutions acting as “third spaces” are vital anchors for metropolitan cohesion, providing a buffer against social polarization. These results offer a robust framework for “Negotiated Cosmopolitanism,” asserting that urban diversity serves as a transformative force for religious renewal rather than a threat to traditional identity, provided that inclusive urban policies support these everyday negotiations.

FROM ISNAD TO ALGORITHM: EPISTEMOLOGICAL SHIFTS IN DIGITAL HADITH AUTHENTICATION

Rahman Rahman — 2026-02-28

The rapid digitization of Islamic textual heritage and the integration of artificial intelligence into religious scholarship have introduced algorithmic models into the field of hadith authentication, traditionally grounded in isn?d-based epistemology. This development raises critical questions regarding shifts in criteria of authenticity, authority, and knowledge validation. This study aims to examine the epistemological transformation from classical isn?d-centered verification to algorithm-driven authentication systems and to assess the extent of convergence and divergence between the two paradigms. A qualitative–comparative research design was employed, integrating hermeneutic analysis of classical hadith methodological treatises with computational network analysis of 12,418 digitized hadith reports. Statistical correlation tests and regression analysis were conducted to evaluate alignment between classical classifications and algorithmic authenticity scores, complemented by expert interviews. Findings reveal a moderate positive correlation (r = 0.61, p < 0.001) between classical reliability judgments and algorithmic outputs in structurally dense transmission networks. Divergence appears in cases where qualitative criteria such as narrator integrity and contextual evaluation outweigh structural multiplicity. Algorithmic systems prioritize probabilistic inference and network centrality, while classical methodology integrates ethical and interpretive dimensions. Transition from isn?d to algorithm represents an epistemological reconfiguration rather than a mere technical enhancement, necessitating integrative frameworks that preserve normative depth while engaging digital innovation.