RANCANGAN SISTEM PAKAR DIAGNOSA PENYAKIT PADA UDANG MENGGUNAKAN METODE FORWARD CHAINING BERBASIS WEB

Abstract

The cultivation of vannamei shrimp has become the primary choice for shrimp farmers and breeders today. The superiority of this shrimp species lies in its resilience to stress and extreme weather conditions. However, the occurrence of diseases in cultivated shrimps remains a significant concern as it can lead to substantial losses if not properly addressed. This research aims to develop a web-based expert system to assist shrimp farmers and breeders in identifying the types of diseases affecting vannamei shrimp. The expert system employs the Forward Chaining method, allowing the system to infer and reach accurate disease diagnoses based on observed symptoms in the shrimp. The web-based nature of the system enables easy access for farmers and breeders through internet-connected devices. Utilizing PHP as the programming language and appserver as the database, the system gathers data provided by users about observed symptoms in the shrimp, subsequently performing inference to deliver precise diagnoses of potential diseases in vannamei shrimp. Leveraging the knowledge and expertise of fisheries experts, the system aims to provide more effective guidance in disease prevention and identification in vannamei shrimp. The expected outcome of this research is to contribute significantly to improving the management of vannamei shrimp cultivation, particularly in preventing and addressing diseases that may affect the shrimp. The expert system aims to empower farmers and breeders to swiftly recognize various diseases and take appropriate measures to maintain the health and productivity of vannamei shrimp cultivation.