Issue |
BIO Web Conf.
Volume 167, 2025
5th International Conference on Smart and Innovative Agriculture (ICoSIA 2024)
|
|
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Article Number | 07007 | |
Number of page(s) | 5 | |
Section | Sustainable Food Production | |
DOI | https://doi.org/10.1051/bioconf/202516707007 | |
Published online | 19 March 2025 |
Traceability system and its performance for SILOPANG (Food Logistics System): Research Framework
1 Department of Agroindustrial Technology, Faculty of Agricultural Technology, Universitas Gadjah Mada, Indonesia
2 Department of Agricultural and Biosystems Engineering, Faculty of Agricultural Technology, Universitas Gadjah Mada, Indonesia
3 Department of Food and Agriculture Product Technology, Faculty of Agricultural Technology, Universitas Gadjah Mada, Indonesia
Corresponding author: kuncorohw@ugm.ac.id
Traceability of food products is an important requirement for improving food safety and consumer confidence. An effective global food traceability system can reduce food waste, improve safety, and minimize economic losses. This paper proposes a new conceptual framework for food logistics involving food traceability systems, supply and demand, and pricing. The research will be conducted by taking primary data for data related to samples of nutritional content and fish contamination levels in several fish markets in East Java province. Secondary data collection was carried out by taking data on the type, stock, origin, and daily price of fish in each fish market in East Java province. Then, the data obtained will be updated on a system connected to the Cloud database to be processed and displayed on the developed Food Logistics Information System (SILOPANG). This information system is designed to provide daily real-time updates to provide recommendations for the distribution and supply chains of fishery products between regions in East Java Province. SILOPANG is expected to become a decision support system (DSS) for the fisheries sector in fisheries areas to make the logistics process and supply chain of fishery commodities more efficient.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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