SISTEM PAKAR PENYAKIT PADA IKAN ARWANA DENGAN MENGGUNAKAN METODE CERTAINTY FACTOR BERBASIS WEB

Enkan Feri Fersi, Syarifah Putri Agustini Alkadri, Asrul Abdullah
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引用次数: 1

Abstract

One of the factors inhibiting the quality of Arowana fish is a disease. The lack of knowledge of Arowana fish farmers about the types of diseases in Arowana fish and how to control them is an obstacle in Arowana fish cultivation. In this case, the expert system can be used to diagnose diseases in Arowana fish. An expert system is a system that takes human knowledge, namely experts or experts, and combines it with computers in solving a problem. To make it easier for Arowana fish farmers to diagnose Arowana fish disease, the Certainty Factor method is used in an expert system. This method shows a measure of certainty or uncertainty about a fact or rule. The purpose of this study is to be able to provide diagnostic results and can provide solutions to disease problems in fish. This system is designed so that cultivators who will start cultivating can find out the health condition of Arowana fish. Based on the calculation of this expert system, the maximum CF value is 0.6 or 60% with itching. From the results of testing the level of accuracy of the system with experts using fish samples from 1 to 20, there are 14 Arowana fish that have a fish diagnosis that is following the expert and 6 fish that do not match, namely in the -5th, -12th, 13th, 17th, 18th, and 20th.
影响龙鱼品质的因素之一是疾病。龙鱼养殖者对龙鱼疾病种类及防治知识的缺乏,是龙鱼养殖的一大障碍。在这种情况下,专家系统可以用于诊断龙鱼的疾病。专家系统是将人类知识,即专家或专家,与计算机结合起来解决问题的系统。为了使龙鱼养殖者更容易诊断龙鱼疾病,在专家系统中使用确定性因子方法。这种方法显示了对事实或规则的确定或不确定的度量。本研究的目的是能够提供诊断结果,并为鱼类疾病问题提供解决方案。该系统的设计是为了让即将开始养殖的养殖者能够了解龙鱼的健康状况。根据该专家系统的计算,瘙痒时的最大CF值为0.6或60%。从1到20的鱼类样本与专家测试系统准确性水平的结果来看,有14条龙鱼的鱼类诊断与专家一致,6条鱼不匹配,即-5、-12、13、17、18和20。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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