Penerapan Metode Forward-Backward Chaining pada Sistem Pakar Pencegahan dan Pengobatan Penyakit Sapi

Increasing the population of cattle in Aek Nagali village, especially in hamlet V, really helps the economy of the community, the health of the livestock raised by breeders is important for the animals themselves. It is difficult for veterinarians in Aek Nagali village so that it is the custom of people in the village where when their cows are sick and dying they are immediately slaughtered and the meat is traded. Even though this does not mean that the cow is suitable for consumption or not because there is a cow disease that can be transmitted to humans when eating beef. The purpose of this research is to build an expert system-based system that can provide an overview or decision. The method used is Forward Chaining and Backward Chaining in diagnosing cow disease. The discussion is focused on applying Forward Chaining and Backward Chaining rules and applying them to the system. From the results of research, the backward and forward methods provide information on how to prevent and treat cattle disease so that breeders can know what steps to take.

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Expert System for Hydroponic Vegetable Cultivation Using Forward and Backward Chaining Inference Technique

Jurnal INFORM ◽

10.25139/inform.v6i2.3905 ◽

2021 ◽

Vol 6 (2) ◽

pp. 69-74

Author(s):

Habil Tria Sakti ◽

Ahmad Thoriq

Keyword(s):

Expert System ◽

Plant Growth ◽

Farming System ◽

Plant Diseases ◽

Hydroponic System ◽

Backward Chaining ◽

Main Obstacle ◽

Forward Chaining ◽

Hydroponic Cultivation ◽

Vegetable Cultivation

Hydroponics systems require tremendous attention both in nutrition, plant growth, the risk of pest and disease attacks. Thus, this hydroponic farming system requires high experience and expertise that is the main obstacle for business actors who want to start a vegetable cultivation business with a hydroponic system, especially for business actors who do not have a background in agriculture. The hydroponic cultivation expert system in this study aims to detect plant diseases and pests and provide solutions to these diseases. In addition, this expert system application also aims to monitor plant needs, so this application can help farmers grow up hydroponic vegetable cultivation businesses. The combination of the forward and backward chaining methods is applied to detect plant diseases and pests. Whereas the forward chaining method use to monitor plant needs. The combination of the forward and backward chaining methods in identifying plant diseases and pests can make it easier for users to determine the suffered by plants and provide information about these diseases. The application of the forward chaining method in monitoring plant needs can identify the level of fulfilment of entails of each component of plant needs according to the type of plant and the day after planting. The application of this hydroponic expert system can overcome the limited number of hydroponic experts in helping farmers identify plant diseases and pests and monitor plant needs.

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Design of an Android-Based Tropical Disease Diagnosis Expert System Design Using a Combined Method of Forward Chanining and Backward Chaining

Jurnal Jartel Jurnal Jaringan Telekomunikasi ◽

10.33795/jartel.v1i1.126 ◽

2015 ◽

Vol 1 (1) ◽

pp. 43-50

Author(s):

Muhammad Fahmi Hidayah

Keyword(s):

Expert System ◽

Expert Systems ◽

Disease Diagnosis ◽

Reference Book ◽

Combined Method ◽

Specific Domain ◽

Backward Chaining ◽

Forward Chaining ◽

Knowledge Based ◽

Specific Symptoms

A doctor or medical scholar needs a reference book to learn how to diagnose tropical diseases. This reference book is sometimes a hassle if you have to carry it everywhere. This reference book is also impractical if you have to search it first to find the symptoms and diseases you want to study. So that we need a system to make it easier for doctors and medical scholars to study the science of diagnosis and look for symptoms and diseases. Expert systems are knowledge-based programs that provide expert quality solutions to problems in a specific domain. This expert system is used in the fields of medicine, agriculture, business, and others. Expert systems in the field of medicine make it easy to identify diseases suffered by patients through the symptoms present in the patient. This expert system helps doctors make diagnoses to convince doctors about the results of the diagnosis. The expert system in this study uses a combined method. The combined method is forward chaining and backward chaining. The forward chaining method is used to determine specific symptoms that appear, while the backward chaining method is used to trace general symptoms that arise from specific symptoms that have been previously selected. The result of combining these methods provides a diagnostic percentage of 100%. Meanwhile, the user's assessment of the system gives a good response.

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Web Based Cattle Disease Expert System Diagnosis with forward Chaining Method

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/97/1/012046 ◽

2017 ◽

Vol 97 ◽

pp. 012046 ◽

Cited By ~ 3

Author(s):

Ahmad Zamsuri ◽

Wenni Syafitri ◽

Muhamad Sadar

Keyword(s):

Expert System ◽

Web Based ◽

Forward Chaining ◽

Cattle Disease ◽

System Diagnosis

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SISTEM PAKAR DIAGNOSA PENYAKIT BUAH NAGA MENGGUNAKAN BACKWARD DAN FORWARD CHAINING

CCIT Journal ◽

10.33050/ccit.v10i1.507 ◽

2017 ◽

Vol 10 (1) ◽

pp. 16-23

Author(s):

Muhammad Salafuddin ◽

Umi Rosyidah

Keyword(s):

Expert System ◽

Red Algae ◽

Backward Chaining ◽

The Public ◽

Forward Chaining ◽

Dragon Fruit ◽

Timely Fashion ◽

Fruit Plants ◽

Fruit Disease

Farmersknowledge about dragon fruit disease is still low. Many farmers still rely on the knowledge of an expert to be able to diagnose a disease, so it takes a long and costly. This expert system can be used as information and guidelines for disease that appears on dragon fruit plants and to fill them. Pests on dragon fruit include mealybugs, aphids, ants, grasshoppers, mites and snails. While the disease in dragon fruit include: rust red algae, patches of orange tendrils, white vine, vine blight and anthracnose.The method used is backward chaining and forward chaining, the system is implemented into a web that can be operated by the public, especially dragon fruit farmer. This expert system is an application that uses facts and reasoning techniques that are used by an expert. The use of this expert system can provide information and guidance to users in the form of possible types of diseases that attack the dragon fruit plants based on symptoms entered by the user. This system can provide assistance in the form of services to farmers or farmers plant dragon fruit dragon fruit to diagnose disease in a timely fashion

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Cattle Disease Diagnosis Expert System in Bandes Village, Ainaro District

Procedia of Engineering and Life Science ◽

10.21070/pels.v1i2.1009 ◽

2021 ◽

Vol 1 (2) ◽

Author(s):

Marito De Oliveira Amaral Barreto ◽

Rina Dewi Indahsari

Keyword(s):

Expert System ◽

Beef Cattle ◽

Disease Diagnosis ◽

Problem Area ◽

Backward Chaining ◽

Program Testing ◽

Cattle Disease ◽

The People ◽

Data Isolation ◽

District Work

Most of the people in the Bandes village of Ainaro district work as breeders. Cows that are raised are beef cattle. One of the obstacles that exist in Bandes Village is the existence of a few veterinarians in Bandes Village. This research discusses an expert system for diagnosing diseases in cattle, which functions to help determine the disease that is being suffered by cattle, this system will display the results of the diagnosis in the form of the name of the disease, a description of the disease solution and its prevention. In this study there were 4 diseases studied and 7 symptoms. From the 4 disease data, isolation of the problem area, target decision and dependency diagram is made. After that the formation of IF – THEN rules, after the rules are made, the backward chaining process is made. So as to produce a solution to overcome disease in cattle. In program testing is done by comparing the results of the system with experts. In the trials that have been carried out, the results obtained are appropriate or the accuracy of the data and facts obtained from experts on cattle. So based on the results of tests that have been carried out on the system as much as 4 data, the accuracy value obtained is 100% accurate which shows that the expert system is functioning properly in accordance with the expert's diagnosis

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Sistem Pakar Mendeteksi Penyakit Tanaman Kelapa Sawit Menggunakan Metode Forward Chaining

Prosiding Seminar Nasional Riset Information Science (SENARIS) ◽

10.30645/senaris.v1i0.50 ◽

2019 ◽

Vol 1 ◽

pp. 444

Author(s):

Dimas Satria ◽

Poningsih Poningsih ◽

Widodo Saputra

Keyword(s):

Expert System ◽

Programming Languages ◽

Palm Oil ◽

Oil Palm ◽

Oil Production ◽

Plant Diseases ◽

Accurate Information ◽

Forward Chaining ◽

Web Programming ◽

Level Of Confidence

The purpose of this paper is to create an expert system to detect oil palm plant diseases in order to help farmers / companies in providing accurate information about the diseases of oil palm plants and how to overcome them and to help reduce the risk of decreasing palm oil production. This system is designed to mimic the expertise of an expert who is able to detect diseases that attack oil palm plants. The method used is forward chaining that is starting from a set of data and proving a fact by describing the level of confidence and uncertainty found in a hypothesis. The results of this study are to diagnose diseases of oil palm plants and their computerization using web programming languages.

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SISTEM PAKAR MENU MAKANAN SEHAT BAGI PENDERITA KOLESTEROL DENGAN METODE FORWARD CHAINING

Jurnal Sains dan Informatika ◽

10.22216/jsi.v3i2.2792 ◽

2017 ◽

Vol 3 (2) ◽

pp. 72

Author(s):

Gusnita Darmawati

Keyword(s):

Expert System ◽

Cholesterol Level ◽

Blood Group ◽

Healthy Food ◽

Healthy Diet ◽

Blood Type ◽

Forward Chaining ◽

Cholesterol Levels ◽

Microsoft Office ◽

Visual Basic 6.0

Penelitian ini membangun suatu sistem pakar untuk menentukan menu makanan sehat berdasarkan golongan darah dan tingkat kadar kolesterol pasien dengan metode Forward Chaining. Tujuan untuk membantu orang awam dalam menentukan menu makanan sehat untuk pasien kolesterol. Sistem ini menganalisa masalah penentuan menu makanan sehat berdasarkan golongan darah dan tingkat kadar kolesterol pasien. Hasil yang diperoleh dari sitem pakar ini adalah berupa informasi makanan sehat yang akan dikonsumsi oleh pasien kolesterol dengan jenis golongan darah dan tingkat kadar kolesterol yang berbeda. Analisa dilakukan dengan cara mengetahui jenis golongan darah dan tingkat kadar kolesterol pasien yang ditampilkan oleh program sistem pakar ini, rancangan sistem ini menggunakan inference forward chaining, dengan implementasi sistem menggunakan sistem database Microsoft Office Access dan bahasa pemrograman Visual Basic 6.0. Dari rancangan aplikasi sistem pakar yang dibuat, maka orang awam yang memderita kolesterol dapat menentukan menu makanan sehat untuk di konsumsi berdasarkan golongan darah dan tingkat kadar kolesterol dengan menjalankan aplikasi sistem pakar. This study builds an expert system to determine the healthy food menu based on blood type and cholesterol levels of patients with Forward Chaining method. The goal is to help the layman in determining a healthy diet for cholesterol patients. This system analyzes the problem of determining healthy food menu based on blood group and patient cholesterol level. The results obtained from this expert system is in the form of healthy food information that will be consumed by cholesterol patients with the type of blood group and different cholesterol levels. From the design of expert system applications created, the layman who memderita cholesterol can determine the healthy diet to be consumed by blood type and cholesterol level by running an expert system application.

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SISTEM PAKAR UNTUK DIAGNOSA PENYAKIT ANAK YANG DIDUKUNG OLEH BAHASA PEMOGRAMAN VISUAL

Jurnal Sains dan Informatika ◽

10.22216/jsi.v3i2.2791 ◽

2017 ◽

Vol 3 (2) ◽

pp. 108

Author(s):

Dian Permata Sari

Keyword(s):

Expert System ◽

Expert Systems ◽

Human Knowledge ◽

Inference Method ◽

Medical Field ◽

Forward Chaining ◽

At Home

Sistem pakar merupakan sistem yang mengadopsi pengetahuan manusia ke komputer yang dirancang untuk memodelkan kemampuan menyelesaikan masalah seperti layaknya seorang pakar. Dengan sistem pakar ini, orang awam pun dapat menyelesaikan masalahnya atau hanya sekedar mencari suatu informasi berkualitas yang sebenarnya hanya dapat diperoleh dengan bantuan para ahli di bidangnya. Salah satunya yaitu dibidang medis untuk mendiagnosapenyakit anak. Mengetahui gejala dari suatu penyakit secara dini dapat menjadi bantuan pertama yang dapat dilakukan para orang tua di rumah jika anak mereka terserang penyakit.Basis pengetahuan disusun sedemikian rupa kedalam database dengan beberapa tabel. Penarikan kesimpulan dalam sistem pakar ini menggunakan metode inferensi forward chaining. Sistem pakar akan memberikan pertanyaan-pertanyaan kepada user berupa gejala dari beberapa penyakit dan user akan menjawab pertanyaan tersebut. Hingga user akan mendapatkan solusi dari hasil pertanyaan tadi. Expert systems are systems that adopt human knowledge into computers designed to model the ability to resolve problems like an expert. Through thisexpert systems,commoner cansolvetheproblem orjustlookingfor a qualityinformationthat can onlybeobtainedwiththehelpofexperts in thefield. One ofthemis in the medical field to diagnosethe children's illness.Knowingthesymptomsofanillnessearly can bethefirstaidto parents if their children stricken withthedisease at home.Knowledgebase is arranged into a highlystructureddatabasewithmultipletables. Inferences in this expert system uses forward chaining inference method. Expert systems will provide questions to the user in the form of the symptoms of some diseases and the user will answer that question. Until the user will get the solution of the question.

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