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Supply Chain Management Hierarchy Model to Support SDGs and Food Security, Using the Analytical Hierarchy Process Approach Prananta, Arie Wahyu; Wardana, Indra Jaya Kusuma; Suyadnya, I Wayan; Fauzi, Iqbal Mahcfud
Jurnal Penelitian Pendidikan IPA Vol 11 No 9 (2025): September
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i9.12301

Abstract

Current global challenges, such as climate uncertainty and population growth, demand robust and sustainable supply chain management systems. Existing management models often fail to comprehensively integrate sustainability dimensions, particularly in supporting the Sustainable Development Goals (SDGs), particularly those related to food security. By combining the principles of sustainability and resilience, the proposed model is expected to serve as a guide for stakeholders in making strategic decisions to achieve a more efficient, sustainable, and crisis-adaptive supply chain, while contributing significantly to the achievement of the SDGs. The fisheries supply chain faces serious challenges in transparency, traceability, and distribution inequality, which directly impact the achievement of the Sustainable Development Goals (SDGs), particularly SDG 2 (Zero Hunger) and SDG 12 (Responsible Consumption and Production). Blockchain technology presents an innovative solution to improve data integrity and logistics efficiency.  This study aims to analyze the most prioritized blockchain implementation strategies to strengthen food security in the fisheries industry. Using the Analytical Hierarchy Process (AHP) approach, weighting of the criteria and sub-criteria influencing blockchain adoption was carried out. The results indicate that data transparency and product traceability are the top priorities in the supply chain. This study provides strategic recommendations for policymakers and industry players to accelerate the blockchain-based digital transformation of the marine and fisheries sector.
Fisheries Supply Chain Model Using Structural Equation Modeling (SEM) to Support the SDGs in the Fisheries Industry Wardana, Indra Jaya Kusuma; Prananta, Arie Wahyu; Suyadnya, I Wayan; Fauzi, Iqbal Mahcfud
Jurnal Penelitian Pendidikan IPA Vol 11 No 10 (2025): October
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i10.12325

Abstract

The global fisheries supply chain faces challenges related to data integrity, product traceability, and distribution inequality, which impact the achievement of the Sustainable Development Goals (SDGs), particularly SDG 2 (Zero Hunger) and SDG 12 (Responsible Consumption and Production). The main challenges are rooted in three critical pillars: data integrity, product traceability, and distribution inequality. The lack of accurate and transparent fishing data opens up opportunities for illegal, unreported, and unregulated (IUU) fishing, which is seriously depleting fish stocks. The global fisheries supply chain is a complex and vital network, providing a vital source of protein for billions of people worldwide. However, this complex system faces a series of fundamental challenges that threaten environmental sustainability and social equity, and hinder global efforts to achieve the Sustainable Development Goals (SDGs). Blockchain is a disruptive technology that offers transparency and accountability in the supply chain system. This study aims to examine the impact of blockchain technology adoption on food security through fisheries supply chain efficiency, using the Structural Equation Modeling (SEM) method. The results indicate that blockchain has a significant impact on improving logistics efficiency, product traceability, and consumer trust, which indirectly strengthens national food security. Recommendations are directed at synergy between industry players and the government to accelerate blockchain-based supply chain digitalization.
Blockchain Strategy Model in the Fisheries Supply Chain to Support the SDGs in the Fisheries Industry Prananta, Arie Wahyu; Wardana, Indra Jaya Kusuma; Suyadnya, I Wayan; Fauzi, Iqbal Mahcfud
Jurnal Penelitian Pendidikan IPA Vol 11 No 12 (2025): December
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i12.12347

Abstract

Strategic implementation of blockchain in the fisheries industry can improve logistics efficiency and consumer confidence in ethically and sustainably sourced fishery products, which are important pillars for national and global food security. This strategic model essentially integrates blockchain technology into every stage of the fisheries supply chain to address issues such as lack of transparency, fraud, and unsustainable fishing. Its primary impact is the provision of reliable data on product origin, condition, and compliance with sustainability standards, thus directly helping the fishing industry contribute to the SDG targets. The performance of the fisheries industry supply chain is crucial to the success of food security and the achievement of the Sustainable Development Goals (SDGs). Key challenges in this sector include low transparency, distribution delays, IUU fishing practices, and unequal access to information among actors. Blockchain technology is considered capable of addressing these issues through a secure, transparent, and decentralized digital recording system. This study aims to design an optimal strategy for blockchain implementation in the fisheries supply chain based on an Operational Research (OR) approach, specifically using the goal programming method. Modeling results indicate that investment in a logistics traceability system and digitalization training for fishermen provide the greatest contribution to improving efficiency and food security. This study recommends cross-sector integration between the government, business actors, and blockchain technology providers.