| Issue |
E3S Web Conf.
Volume 454, 2023
3rd International Conference on Applied Sciences 2023 “Strengthening Agro-maritime in the 21st Century with Multidisciplinary Collaboration” (ICAS 2023)
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|
|---|---|---|
| Article Number | 03004 | |
| Number of page(s) | 10 | |
| Section | Social, Economies, and Management | |
| DOI | https://doi.org/10.1051/e3sconf/202345403004 | |
| Published online | 29 November 2023 | |
Fuzzy Analytical Hierarchy Process (AHP) Model for Chicken Egg Supply and Demand Management Strategies Through SAFCES Application Development
1 Industrial Management Study Program, College of Vocational Studies, IPB University, Bogor, 16128, Indonesia
2 Production Technology and Management of Aquaculture Study Program, College of Vocational Studies, IPB University, Bogor, 16128, Indonesia
3 Production Technology and Community Development Study Program, College of Vocational Studies, IPB University, Bogor, 16128, Indonesia
4 Veterinary Paramedic Study Program, College of Vocational Studies, IPB University, Bogor, 16128, Indonesia
5 Computer Engineering Technology Study Program, College of Vocational Studies, IPB University, Bogor, West Java 16151, Indonesia
* Corresponding Author: agungprayudha@apps.ipb.ac.id
The complexity of managing the supply and demand for egg agents causes conditions for egg agents to experience difficulties in determining the ideal number of eggs available in the warehouse and establishing the right strategy for controlling the supply from breeders. This research aims to assist egg agents in supporting the right strategic decisions in managing chicken eggs so that the supply and demand for chicken eggs are maintained through the development of the SAFCES application so that it is not done manually. The Fuzzy Analytical Hierarchy Process (AHP) model is used through the development of an application called SAFCES. The results showed that the main priority in managing chicken eggs was focusing on selling prices (0.63) and an alternative strategy that could be used as increasing agent area (0.78) to manage demand which was always maintained.
© The Authors, published by EDP Sciences, 2023
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