Expert System for Diagnosis Chicken Disease using Bayes Theorem

Sihotang, Hengki Tamando; Riandari, Fristi; Simanjorang, R. Mahdalena; Simangunsong, Agustina; Hasugian, Penda Sudarto

doi:10.1088/1742-6596/1230/1/012066

Cited by 8 publications

(7 citation statements)

References 2 publications

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“…Metode Naive Bayes membentuk suatu probabilistik sederhana yang berdasarkan pada Teorema Bayes pada umumnya, inferensi bayes terutama dengan asumsi kemandirian yang kuat [5]. Teorema Bayes juga dapat digunakan sebagai alat pengambilan keputusan dalam memperbarui tingkat kepercayaan informasi [6].…”

Section: Pendahuluanunclassified

Sistem Pakar dengan Menggunakan Metode Naive Bayes dalam Mengidentifikasi Penyakit Karies pada Gigi Manusia

Hari

Sumijan

2021

JSisfotek

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Caries disease in human teeth is a disease that permanently destroys the inner walls of teeth and forms small holes in the teeth. The Indonesian people lack the knowledge to find information and identify tooth decay, which makes many people unaware of the consequences and dangers of this disease. Tooth decay disease is usually caused by three factors. The first factor is teeth and saliva, which are the hosts of microorganisms in the oral cavity. Bacteria and food are the second and third factors. The purpose of this research is to help the public find information about tooth decay, thus forming a branch of artificial intelligence, the expert system. Artificial intelligence is a science that allows you to build computer systems that display intelligence in different ways. An expert system is a computer program or information system that uses some knowledge of an expert. The methods used in this study are the Naive Bayes method and the model's view controller, which are implemented as a database in the PHP Codeigniter framework and MySQL. The data processed in this study is knowledge about the symptoms of dental caries obtained from experts. The test results of this method provide patients with the knowledge necessary to prevent tooth decay, with an accuracy rate of 83.61%. This expert system helps the public to recognize and obtain information about tooth decay. The Expert System can also be used to take the first step in preventing tooth decay.

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Section: Pendahuluanunclassified

Sistem Pakar dengan Menggunakan Metode Naive Bayes dalam Mengidentifikasi Penyakit Karies pada Gigi Manusia

Hari

Sumijan

2021

JSisfotek

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“…Perhitungan nilai probabilitas penyakit dilakukan dengan menghitung nilai probabilitas yang diberikan oleh pakar pada masing-masing penyakit atau hipotesa berdasarkan gejala yang teramati oleh pengguna. Metode ini memiliki kemampuan untuk mengambil keputusan dengan cara memperbaharui tingkat kepercayaan diri dari suatu informasi, terutama pada masalah yang tidak dapat dimodelkan secara lengkap dan konsisten [24].…”

Section: Pendahuluanunclassified

Penerapan Metode Teorema Bayes Untuk Mendeteksi Hama Pada Tanaman Padi Mayas Kalimantan Timur

et al. 2021

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The community very much needs the nutritional needs of food during a pandemic. One source of nutrition that can be obtained is rice or rice derived from rice plants. Mayas rice is a rice plant with advantages in terms of high taste quality and components of certain physiological functions that are beneficial to health. However, Mayas rice has quite a lot of pest attacks, thus reducing agricultural production. On the other hand, the knowledge possessed by the community regarding pests in Mayas rice is still very minimal. Hence, people find it difficult to determine the proper pest control method. Bayes theorem applied in an expert system can be a solution to diagnose the types of pests that attack Mayas rice. The research data is a knowledge base that contains 32 symptoms that appear and 10 types of pests that attack Mayas rice. The results showed that the percentage of certainty in the diagnosis of the types of pests that pounded Mayas rice was based on the symptoms given by the user. The level of testing using ten test cases displays the results of an expert system for identifying types of pests that attack Mayas rice which is suitable for use with a percentage of 90%.

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“…Within the medical field, expert systems have been used and developed for diet planning [34], diabetes therapy [35], heart disease [36], eye disease [37], skin disease [38], COVID-19 [39] and hypertension [40] diagnosis, lower back pain diagnosis and treatment [33], neck pain diagnosis [33] and many more have also been developed [33] relating to medical diagnosis and treatment. Expert systems have also been used to diagnose diseases in fruits [41], plants [42] and animals [43].…”

Section: Expert System Usesmentioning

confidence: 99%

Implementation of Hardware-Based Expert Systems and Comparison of Their Performance to Software-Based Expert Systems

Ritter

Straub

2021

Machines

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Expert systems are a form of highly understandable artificial intelligence that allow humans to trace the decision-making processes that are used. While they are typically software implemented and use an iterative algorithm for rule-fact network processing, this is not the only possible implementation approach. This paper implements and evaluates the use of hardware-based expert systems. It shows that they work accurately and can be developed to parallel software implementations. It also compares the processing speed of software and hardware-based expert systems, showing that hardware-based systems typically operate two orders of magnitude faster than the software ones. The potential applications that hardware-based expert systems can be used for and the capabilities that they can provide are discussed.

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Expert System for Diagnosis Chicken Disease using Bayes Theorem

Cited by 8 publications

References 2 publications

Sistem Pakar dengan Menggunakan Metode Naive Bayes dalam Mengidentifikasi Penyakit Karies pada Gigi Manusia

Sistem Pakar dengan Menggunakan Metode Naive Bayes dalam Mengidentifikasi Penyakit Karies pada Gigi Manusia

Penerapan Metode Teorema Bayes Untuk Mendeteksi Hama Pada Tanaman Padi Mayas Kalimantan Timur

Implementation of Hardware-Based Expert Systems and Comparison of Their Performance to Software-Based Expert Systems

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