Sistem Pakar Diagnosa Penyakit Pohon Karet dengan Metode Certainty Factor

Anita Sindar Sinaga
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Abstract

The low production of smallholder rubber is caused by various factors, one of the causes is interference from various diseases. Building a system (computer) that is intelligent to analyze problems, observe the work system of an expert or expert. Expertise comes from the development of knowledge of someone who is competent and directly provides instructions to solve a problem. Certainty Factor is a method to prove whether a fact is certain or not certain in the form of metrics that are usually used in expert systems. This method is very suitable for expert systems that diagnose something that is uncertain. To apply the Certainty Factor method to the expert system, data is needed that will be input into the system, processed and display the results of the diagnosis of rubber plant diseases.  Input: rubber plant disease type data and disease symptom data. Process: carry out analysis and calculation to get the diagnosis results using the Certainty Factor method. Output: information on the diagnosis of rubber plant diseases and percentage of confidence level in the diagnosis results in accordance with the rules of the Certainty Factor method. Keywords : Rubber Disease, Symptoms Diagnosis, Value Combination, Certainty Factor   
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系统专家通过认证方法诊断橡胶树疾病
小农橡胶的低产量是由多种因素造成的,其中一个原因是各种疾病的干扰。建立一个系统(计算机),它是智能的分析问题,观察专家或专家的工作系统。专业知识来自于某个人的知识发展,他有能力并直接提供解决问题的指导。确定性因子是一种以度量形式证明事实是否确定的方法,通常用于专家系统。这种方法非常适用于诊断不确定事物的专家系统。为了将确定性因子方法应用到专家系统中,需要将数据输入系统,对其进行处理并显示橡胶植物病害的诊断结果。输入:橡胶植物病害类型数据和病害症状数据。过程:利用确定性因子法进行分析计算,得到诊断结果。输出:根据确定性因子方法的规则,橡胶植物病害诊断的信息和诊断结果的置信水平的百分比。关键词:橡胶病;症状诊断;价值组合
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审稿时长
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