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Ai–Blockchain-Enabled Halal Traceability for Cross-Border Certification Harmonization: A Framework for Digital Halal Assurance Marianingsih, Ita; Salim, Salim; Mijinyawa, Sadiq Ibrahim
Lan Tabur: JURNAL EKONOMI SYARIAH Vol. 7 No. 2 (2026): (March)
Publisher : LAN TABUR: Jurnal Ekonomi Syariah The Islamic University of KH. Achmad Muzakki Syah Jember, East Java. Jember Jln. Manggar Gebang Poreng 139A Patrang Jember Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53515/lt.v7i2.165

Abstract

This study addresses the increasing complexity of cross-border halal trade, where fragmented certification regimes and differing regulatory and fiqh-based approaches raise verification costs and weaken trust. The purpose of this research is to develop and evaluate a digital halal assurance framework that enables Artificial Intelligence (AI)–blockchain halal traceability to support cross-border certification harmonization by making compliance evidence interoperable, verifiable, and auditable. The study uses a qualitative multiple-case design involving regulators, certification bodies and auditors, manufacturers and suppliers, logistics providers, and laboratories. Data were collected through document analysis, semi-structured interviews, and expert review workshops, and analyzed using thematic analysis with cross-case synthesis to derive design requirements. Results show that harmonization relies on institutional arrangements for recognizing evidence; three outputs are pivotal: a shared minimum evidence baseline, a rule-based and updateable equivalence mapping, and a trust registry with accountability and revocation oversight. These elements also shape system architecture toward permissioned consortium governance. Interoperability is the main bottleneck because evidence is dispersed across heterogeneous formats; a minimum data set, selective disclosure, and a hybrid off-chain/on-chain architecture with standardized interfaces and schema versioning are needed to reduce manual reconciliation. Blockchain functions as an evidence engine that anchors audit trails, integrity proofs, and revocation-aware verification via smart contracts. The study concludes that harmonization requires aligning governance, data standards, and evidence mechanisms, and recommends phased implementation and support measures to avoid excluding small and medium enterprises.
Status and Recent Developments of Pantoea stewartii subsp. stewartii Causes the Wilt Disease in Maize in Indonesia: A Review Najamuddin, Erwin; Djaya, Ernawati; Djaenuddin, Nurasiah; Muis, Amran; Fauriah, Ria; Salim, Salim
Caraka Tani: Journal of Sustainable Agriculture Vol 38, No 1 (2023): April
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/carakatani.v38i1.60688

Abstract

Pantoea stewartii subsp. stewartii is a pathogen that causes Stewart wilt on maize. This disease is important in maize. Infection early in growth can cause yield losses of up to 100%. This review examines the history, recent developments, economic impacts and developments of detection technology of Stewart wilt diseases. This paper was created by reviewing several articles relevant to the purpose of the topic. The article's results revealed that the pathogen underwent many changes, including its name, taxonomy, physiological abilities, status as an important pathogen in many countries and the development of detection technology. Currently, P. stewartii subsp. stewartii belongs to the Erwiniaceae family and has physiological abilities that can be distinguished from bacteria of the same genus and species. This pathogen has been reported to spread to more than 82 countries, including Indonesia, with 18 host plants. Some areas have reported pathogens in Indonesia, but no vector has been written. The biggest economic threat caused by this disease is the industrial production of corn seeds which require strict phytosanitary requirements and are free from pathogens. To anticipate its spread, there are four methods of detection of pathogenic bacteria that are commonly used, but serological and molecular detection technologies are the main recommendations.
Co-Authors Abdin Abdul Aziz Abdullah Abdullah Agung Sugeng Widodo Aisyah Aisyah Ali, Maryam Amran Muis Amry, Intan Wardany Ranat Angraeni, Netty Aries Musnandar Arvyaty, Arvyaty Aspar, Muhammad Aswad Eka Putera Aulia, Fina Azis, Sumarno Badaron, St Fauziah Bulawan, Sriwana DIDIK PURWANTO Djafar, Ratna Djaya, Ernawati Dorce Banne Pabunga, Dorce Banne Dwi Ophi Ramadhan Eka Ariyati Ervina, Tri Fadhilah, Affan Fajriah, Nurul Fardina, Fardina Fauriah, Ria Febrian, Rio Fita Sari, Fita Hanafi Ashad Hanifa, Imam Abu Hendra Nelva Saputra Heriyanti Rukka Herna, Herna Hidayat, Afifah Nur Idhayani, Nurul Ikman, Ikman Indriyanto, Kristiawan Isini, La Ismawati, Iis Isra, Mohamad Kadir Kadir Kasusilaningrum, Tyas Ken Akya Aruna Bintang Kodirun M Rusdi Marianingsih, Ita Maricar, Muhammad Husni Mijinyawa, Sadiq Ibrahim Moch. Ardyan Aviansyah Mohamad Salam Muhammad Sudia Mursidin T, Mursidin Musawwir, Musawwir Musayyadah Tis’in Nadia, Zahra Najamuddin, Erwin Nanik Ulfa, Nanik Ningrum Astriawati Nirma Nirma Nur Afni Nur Amanah, Lisa Nur Haeni Nur Hasanah Nur, Wahyudin Nurasiah Djaenuddin, Nurasiah Nurhaliza Nurhayati Nurhayati Nurhayati Nurhayati, Nurhayati Nurlela Juliasari Page, Muhammad Taufik Pandjaitan, Manahan Budiarto Prajono, Rahmad Pratama, Wegig Purwanto, Deni Putri, Aninda Dyah Hayu Pinasti Rahayu, Emi Rahmadiana, Rahmadiana Rahmawati, Eis Ramadhani, Awalia Rimawati, Iqbal Lina Rizkiansyah, Nuradha Roni Hermawan, Roni Safitri, Andi Saidy, Hamdy Nur Sartika Sari Seppewali, Andi Simal, Muh. Rizal Sitti Rahmaniar Abubakar, Sitti Rahmaniar Suhar, Suhar Suhari, Y Sulistiyowati, Amin Sulistyowati, Amin Sutanto, Vinna Waty Sy, Syamhadi Tinggapy, Hasanudin Ulfa, Siti Syahyidatul Vidiarto, Rizki Agung Waris Wibowo Wisnumurti . Wiwit, Hari Yanti, Reski Wahyu Yokhebed Yokhebed Yusuf, Andi M. Zibran, Rifaldi