Analisis Faktor Penentu Implementasi Sistem Ketertelusuran pada Produk Perikanan: Sebuah Kajian Literatur

Andri Pratama

Abstract


Permasalahan utama dalam distribusi produk perikanan adalah tingginya tingkat kerusakan, yang tidak hanya menurunkan nilai jual tetapi juga menyebabkan penolakan di lokasi bongkar dan berisiko terhadap kesehatan konsumen. Kerusakan ini umumnya terjadi karena lemahnya pengawasan dalam rantai pasok yang belum sepenuhnya terdokumentasi dan terintegrasi. Untuk mengatasi hal tersebut, penerapan sistem ketertelusuran berbasis teknologi  seperti  Internet of   Things  (IoT)  dan  blockchain  menjadi sangat  penting.  Sistem  ini memungkinkan pelacakan produk secara real time, mencakup informasi mengenai asal-usul, proses penanganan, hingga kondisi pengiriman produk.  Penelitian ini  bertujuan  untuk  mengidentifikasi faktor-faktor utama yang mendorong implementasi sistem ketertelusuran pada produk perikanan. Metode yang digunakan adalah kajian literatur terhadap publikasi ilmiah terakreditasi dengan fokus pada topik sistem ketertelusuran dalam sektor perikanan. Hasil kajian menunjukkan bahwa implementasi sistem ini sangat dipengaruhi oleh kondisi geografis  kepulauan, kebutuhan untuk  memenuhi permintaan konsumen secara tepat waktu, serta urgensi menghindari ketidaksesuaian produk yang berisiko menurunkan kualitas dan kepercayaan pasar. Integrasi sistem ketertelusuran dengan teknologi digital terbukti mampu meningkatkan  efisiensi pengawasan mutu dalam rantai pasok perikanan, serta memperkuat transparansi dan akuntabilitas antar aktor yang terlibat.

 

Title: Analysis of Determining Factors in The Implementation of Traceability Systems For Fishery Products: A Literature Review

The primary issue in the distribution   of fishery products is the high rate of product  damage,  which not only reduces market value but also leads to rejection at unloading points and poses health  risks to consumers. This damage typically results from weak oversight within the supply chain, which remains poorly documented  and lacks full integration. To address this, implementing a traceability  system based on technologies such as the Internet  of Things (IoT) and blockchain has become increasingly important. These systems enable real-time  product tracking,  including information  on origin, handling   processes, and shipping conditions. This study aims to identify the key factors driving the implementation  of traceability  systems in fishery products.  The method employed is a literature  review of accredited scientific publications focusing on traceability  systems within  the fisheries sector. The findings reveal that implementation  is strongly influenced by Indonesia’s  archipelagic geography,  the need to meet consumer demand in a timely manner, and the urgency to prevent  product  inconsistencies that can undermine quality and market trust. Integrating  traceability  systems with digital technologies has proven effective in improving  quality  control efficiency within  the fishery supply chain, while also enhancing transparency and accountability among the actors involved.


Keywords


sistem ketertelusuran; produk perikanan; rantai pasok; keamanan pangan; kajian literatur

Full Text:

PDF

References


Bertolini, M., Bevilacqua, M., & Massini, R. (2006). FMECA approach to product traceability in the food industry. Food Control, 17(2), 137–145. https://doi.org/10.1016/j.foodcont.2004.09.013

Bhuiyan, Z. A., Zaman, A., Wang, T., Wang, G., Tao, H., & Mehedi Hassan, M. (2018). Blockchain and Big Data to Transform the Healthcare. ICDPA, 2–8. https://doi.org/http:// doi.org/10.1145/3224207.3224220

Bosona, T., & Gebresenbet, G. (2013). Food traceability as an integral part of logistics management in food and agricultural supply chain. Food Control. https://www.sciencedirect.com/science/article/pii/S0956713513000790

Brewster, C., Roussaki, I., Kalatzis, N., Doolin, K., & Ellis, K. (2017). IoT in Agriculture: Designing a Europe-Wide Large-Scale Pilot. IEEE Communications Magazine, 55(9), 26–33. https://doi.org/10.1109/MCOM.2017.1600528

Cai, X., Chen, J., Xiao, Y., & Xu, X. (2010). Optimization and Coordination of Fresh Product Supply Chains with Freshness-Keeping Effort. Production and Operations Management Society, 19(3), 261–278.

Caro, M. P., Ali, M. S., Vecchio, M., & Giaffreda, R. (2018). Blockchain-based Traceability in Agri-Food Supply Chain Management: A Practical Implementation. Vertical and Topical Summit on Agriculture, 1–4.

Dabbene, F., Gay, P., & Tortia, C. (2014). Traceability issues in food supply chain management: A review. Biosystems Engineering, 120, 65–80. https://doi.org/10.1016/j.biosystemseng.2013.09.006

Dupuy, C., Botta-Genoulaz, V., & Guinet, A. (2005). Batch dispersion model to optimise traceability in food industry. Journal of Food Engineering, 70(3), 333–339. https://doi.org/10.1016/j.jfoodeng.2004.05.074

Durach, C. F., Kembro, J., & Wieland, A. (2017). A New Paradigm for Systematic Literature Reviews in Supply Chain Management. Journal of Supply Chain Management, 53(4), 67–85. https://doi.org/10.1111/jscm.12145

Ellis, S. C., Henry, R. M., & Shockley, J. (2010). Buyer perceptions of supply disruption risk: A behavioral view and empirical assessment. Journal of Operations Management, 28(1), 34–46. https://doi.org/10.1016/j.jom.2009.07.002

Ferguson, M., & Ketzenberg, M. E. (2006). Information Sharing to Improve Retail Product Freshness of Perishables. Production and Operations Management, 15(1), 57–73. https://doi.org/10.1111/j.1937-5956.2006.tb00003.x

Füzesi, I., & Herdon, M. (2010). IT applications in the quality management of Hungarian meat product chains. Agricultural Informatics, 1(1), 19–29.

Hu, J., Zhang, X., Mihaela, L., & Neculita, M. (2013). Modeling and implementation of the vegetable supply chain traceability system. Food Control, 30(1), 341–353. https://doi.org/10.1016/j.foodcont.2012.06.037

Hua, J., Wang, X., Kang, M., Wang, H., & Wang, F. Y. (2018). Blockchain Based Provenance for Agricultural Products: A Distributed Platform with Duplicated and Shared Bookkeeping. IEEE Intelligent Vehicles Symposium, Proceedings, 2018-June(January), 97–101. https://doi.org/10.1109/IVS.2018.8500647

ISO 22005:2007. (2007). Traceability in the feed and food chain — General principles and basic requirements for system design and implementation.

Ivanov, D., & Dolgui, A. (2021). A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0. Production Planning and Control, 32(9), 775–788. https://doi.org/10.1080/09537287.2020.1768450

Jansen-Vullers, M. H., Van Dorp, C. A., & Beulens, A. J. M. (2003). Managing traceability information in manufacture. International Journal of Information Management, 23(5), 395–413. https://doi.org/10.1016/S0268-4012(03)00066-5

Kamath, R. (1979). Food Traceability on Blockchain: Walmart’s Pork and Mango Pilots with IBM. Medizinische Klinik, 74(13), 481–487.

Kärkkäinen, M., Ala-Risku, T., & Främling, K. (2003). The product centric approach: A solution to supply network information management problems? Computers in Industry, 52(2), 147–159. https://doi.org/10.1016/S0166-3615(03)00086-1

Khan, S., Haleem, A., Imran Khan, M., Haider Abidi, M., & Al-Ahmari, A. (2018). Implementing Traceability Systems in Specific Supply Chain Management ( SCM ) through Critical Success Factors ( CSFs ). Sustainability, 10(doi:10.3390/su10010204), 01–026. https://doi.org/10.3390/su10010204

Kim, H. M., Fox, M. S., & Gruninger, M. (1995). Ontology of quality for enterprise modelling. Proceedings of the Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises, WET ICE, May 2014, 105–116. https://doi.org/10.1109/enabl.1995.484554

Kim, M., Hilton, B., Burks, Z., & Reyes, J. (2018). Integrating Blockchain, Smart Contract-Tokens, and IoT to Design a Food Traceability Solution. 2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference, IEMCON 2018, Figure 1, 335–340. https://doi.org/10.1109/IEMCON.2018.8615007

Kros, J., Liao, Y., Kirchoff, J. F., & Zemanek, J. E. (2019). Traceability in the Supply Chain. January. https://doi.org/10.4018/IJAL.2019010101

Lan, W., & Po Shun, C. (2017). E-food-traceability Learned by Consumers. ICIBE’17, 8–10. https://doi.org/DOI: https://doi.org/10.1145/3133811.3133827

Liao, Y., & Xu, K. (2019). Traceability System of Agricultural Product Based on Block-chain and Application in Tea Quality Safety Management. Journal of Physics: Conference Series, 1288(1). https://doi.org/10.1088/1742-6596/1288/1/012062

Lin, J., Shen, Z., Zhang, A., & Chai, Y. (2019). Blockchain and IoT based Food Traceability System. July 2018. https://doi.org/10.1145/3265689.3265692

Liu, Y., & Gao, H. (2016). An Empirical Study for the Mobile Food Trace ability : Private Trace ability System for the White Gourd in Tianjin , China . 1 What is Food Traceability 2 Information Technology Applications. 01006.

Lyles, M. A., Flynn, B. B., & Frohlich, M. T. (2008). All supply chains don’t flow through: Understanding supply Chain issues in product recalls. Management and Organization Review, 4(2), 167–182. https://doi.org/10.1111/j.1740-8784.2008.00106.x

Marucheck, A., Greis, N., Mena, C., & Cai, L. (2011). Product safety and security in the global supply chain: Issues, challenges and research opportunities. Journal of Operations Management, 29(7–8), 707–720. https://doi.org/10.1016/j.jom.2011.06.007

Mattevi, M., & Jeffrey, A. J. (2016). Food supply chain: are UK SMEs aware of concept, drivers, benefits and barriers, and frameworks of traceability. Management of Environmental Quality : An International Journal, 26(4), 471–484.

Mirabelli, G., & Solina, V. (2020). Blockchain and agricultural supply chains traceability : research trends and future challenges. Procedia Manufacturing, 42(2019), 414–421. https://doi.org/10.1016/j.promfg.2020.02.054

Morana, J. (2016). Supply chain and traceability. Supply Chain Forum, 17(1), 1–2. https://doi.org/10.1080/16258312.2016.1181434

Muralikumar, M. D., & Nardi, B. (2018). Addressing Limits through Tracking Food. LIMITS, 13–14.

Parwez, S. (2016). A conceptual model for integration of Indian food supply chains. Global Business Review, 17(4), 834–850. https://doi.org/10.1177/0972150916645681

Pettit, T. J., Croxton, K. L., & Fiksel, J. (2013). Ensuring supply chain resilience: Development and implementation of an assessment tool. Journal of Business Logistics, 34(1), 46–76. https://doi.org/10.1111/jbl.12009

Speier, C., Whipple, J. M., Closs, D. J., & Voss, M. D. (2011). Global supply chain design considerations: Mitigating product safety and security risks. Journal of Operations Management, 29(7–8), 721–736. https://doi.org/10.1016/j.jom.2011.06.003

Thai, P., Njilla, L., Duong, T., Fan, L., & Sheng Zhou, H. (2018). A Generic Paradigm for Blockchain Design ∗. MobiQuitous, 460–469. https://doi.org/https://doi.org/10.1145/3286978.3286982

Tranfield, D., Denyer, D., & Smart, P. (2003). Towards a Methodology for Developing Evidence-Informed Management Knowledge by Means of Systematic Review*. British Journal of Management, 14, 207–222. https://doi.org/10.1007/978-3-030-92836-0_28

Verdouw, C. N., Sundmaeker, H., Meyer, F., Wolfert, J., & Verhoosel, J. (2013). Smart Agri-Food Logistics: Requirements for the Future Internet. Lecture Notes in Logistics, February, 247–257. https://doi.org/10.1007/978-3-642-35966-8_20

Véronneau, S., & Roy, J. (2009). RFID benefits, costs, and possibilities: The economical analysis of RFID deployment in a cruise corporation global service supply chain. International Journal of Production Economics, 122(2), 692–702. https://doi.org/10.1016/j.ijpe.2009.06.038

Voss, M. D., Whipple, J. M., & Closs, D. J. (2009). The role of strategic security: internal and external security measures with security performance implications. Transportation Journal, 48(2), 5–23. https://doi.org/10.5325/transportationj.48.2.0005

Zailani, S. H., Subaramaniam, K. S., Iranmanesh, M., & Shaharudin, M. R. (2015). The impact of supply chain security practices on security operational performance among logistics service providers in an emerging economy: Security culture as moderator. International Journal of Physical Distribution and Logistics Management, 45(7), 652–673. https://doi.org/10.1108/IJPDLM-12-2013-0286




DOI: http://dx.doi.org/10.15578/jsekp.v20i1.15083

Indexed by:

 

-------------------------------------------------------------------------------------

Published by

Research Center for Marine and Fisheries Socio-Economic 
in collaboration with
Indonesian Marine and Fisheries Socio-Economics Research Network

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.