| Issue |
E3S Web Conf.
Volume 448, 2023
The 8th International Conference on Energy, Environment, Epidemiology and Information System (ICENIS 2023)
|
|
|---|---|---|
| Article Number | 02067 | |
| Number of page(s) | 11 | |
| Section | Information System | |
| DOI | https://doi.org/10.1051/e3sconf/202344802067 | |
| Published online | 17 November 2023 | |
Expert System Diagnose Broiler Chicken Diseases using Case Based Reasoning Method and Sorensen Dice Coefficient
Master of Information System, Diponegoro University, Semarang, Indonesia
* Corresponding author: imam.mct34@gmail.com
Delays in handling broiler chicken diseases cause a lot of losses which are quite large and even cause death. The limitations of an expert and relatively long veterinarian visits. The purpose of this research was to apply the case-based reasoning method and Sorensen dice coefficient for the application of an expert system in diagnosing broiler chicken diseases. This study used a case-based reasoning method to obtain similar cases to be used in new cases by applying 4 stages include retrieve, reuse, revise, and retain. Sorensen dice coefficient similarity method was used to obtain similarity results. The application of an expert system diagnosed disease using case-based reasoning and Sorensen dice coefficient while obtaining test results on system accuracy of 90% and system reliability of 87%. The results of the accuracy and effectiveness test of the system showed a fairly high value and indicated that the system provided an accurate and effective value compared to previous methods in diagnosing and providing the solutions or treatment.
© The Authors, published by EDP Sciences, 2023
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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