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All Journal Multidiciplinary Output Research for Actual and International Issue (Morfai Journal) Journal of Artificial Intelligence and Digital Business
Julian, Fajar Azhari
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Blockchain and AI Integration in Halal Supply Chains: Toward a Trusted Digital Ecosystem Julian, Fajar Azhari; Rachmayani, Novianti; Aufi, Irwan
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 3 (2025): Agustus - October
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i3.2451

Abstract

The halal supply chain plays a crucial role in ensuring compliance with Shariah principles and maintaining consumer trust in global markets. However, conventional certification systems often face limitations, including fragmented documentation, inefficiencies, and vulnerability to fraud and mislabeling. This study explores the potential integration of blockchain and artificial intelligence (AI) to address these challenges and develop a trusted digital ecosystem for halal supply chains. Employing a qualitative library research method, the study systematically reviews academic literature, industry reports, and regulatory documents published between 2020 and 2025. The findings reveal that blockchain enhances transparency and traceability through immutable record-keeping, while AI contributes predictive analytics, anomaly detection, and operational optimization. Although both technologies have been studied separately, their combined application in halal supply chains remains underexplored. This research proposes a conceptual framework for integrating blockchain and AI to reinforce halal assurance, streamline certification processes, and improve supply chain resilience. The study contributes to the academic discourse on halal supply chain governance and provides insights for policymakers, certification bodies, and industry practitioners seeking to establish a secure, ethical, and sustainable halal digital ecosystem.
OPTIMIZING HALAL ZONE LAYOUTS IN INDUSTRIAL ESTATES FOR WAREHOUSING AND DISTRIBUTION: A SPATIAL MODELING APPROACH UTILIZING QGIS Julian, Fajar Azhari; Purwanto, Ahmad Nur Ihsan; Zainuddin, Muhammad Roihan
Multidiciplinary Output Research For Actual and International Issue (MORFAI) Vol. 5 No. 5 (2025): Multidiciplinary Output Research For Actual and International Issue
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/morfai.v5i5.4319

Abstract

This study develops a comprehensive spatial modeling framework for optimizing halal zones dedicated to warehousing and distribution within industrial estates in Indonesia. Employing Geographic Information System (GIS) tools—particularly QGIS—the research integrates buffering, overlay, and zoning analyses to identify and evaluate potential halal-compliant industrial areas based on accessibility, land suitability, and contamination risk. Data from West Java’s industrial corridors reveal four viable sites (KM42, KM62, KM71B, and KM72A), with KM72A demonstrating superior strategic positioning due to high connectivity, low contamination risk, and ample capacity. The proposed model conceptualizes halal zones as integrated spatial entities designed to ensure strict product segregation, traceability, and adherence to Islamic principles. The study bridges theoretical constructs of halal assurance with pragmatic spatial planning methodologies, offering a replicable GIS-based approach to halal industrial zoning. From a policy perspective, it provides actionable insights for governments and industry actors to strengthen halal logistics infrastructure, thus supporting Indonesia’s ambition to become a global halal hub. The fusion of geospatial analytics and halal governance in this study represents a strategic advancement toward transparent, efficient, and sustainable halal industrial ecosystems.
Co-Authors Aufi, Irwan Purwanto, Ahmad Nur Ihsan Rachmayani, Novianti Zainuddin, Muhammad Roihan