Aplikasi Sistem Pakar Untuk Mengidentifikasi Biota Laut Berbasis Website

Abstract

Indonesia has very wide waters and has a diversity of marine ecosystems. This diversity makes people want to know information about various marine ecosystems and marine biota easily and quickly without having to buy or read books about marine ecosystems. Along with the development of technology and information in everyday life, it can be used to solve these problems by designing an expert system that can contain various information to identify various types of marine biota. To design the expert system, it takes several stages such as needs analysis, knowledge acquisition, system design, coding, and testing the system. In this research, applying the knowledge base of rule based relation with the knowledge representation of decision tree. The marine biota expert system is designed based on a website. This expert system produces an accuracy of 100%

Diagnosis of Cucumber Plant Diseases Using Certainty Factor and Forward Chaining Methods

“…Rules consist of conditions (premises) and actions (conclusions) that are implemented if those conditions are met. Semantic networks describe the relationships between concepts in a knowledge domain by using nodes and connections that represent the relationships between these concepts (Hairani et al, 2021;Medianti & Maulana, 2022). After the knowledge representation is formed, the next stage is reasoning using an inference engine.…”