scholarly journals Akurasi dalam Identifikasi Penyakit Sapi Pesisir Menggunakan Metode Forward Chaining

2021 ◽  
pp. 115-120
Author(s):  
Hafiz Mursalan ◽  
Sumijan
Keyword(s):  
Expert System ◽  
Economic Value ◽  
Test Results ◽  
Forward Chaining ◽  
Cattle Breeds ◽  
Efficient Information ◽  
Cattle Breeders ◽  
Fact Finding

Coastal cattle are livestock that have economic value, such as selling beef and cattle breeds. Cow disease can cause the quality of its sales to decrease. This study aims to help cattle breeders to determine the type of cow disease, from the symptoms that exist in these cows. So that the prevention of the risk of cow disease can be avoided. All data used are sourced from experts. In determining the type of disease in cows, the Forward Chaining method is used. The fact-finding technique is then put into the predetermined rules to get a conclusion. Making a website based expert system makes it easy for breeders to access it online. The accuracy of the system has been tested by related parties so as to produce fast and efficient information. From research, it can help breeders in diagnosing the symptoms experienced by cows and the test results can detect the type of disease accurately.

scholarly journals Design of the Expert System for Edamame Grading Using Forward Chaining Method

2020 ◽  
Vol 4 (1) ◽  
pp. 26-37
Author(s):  
Yuli Wibowo ◽  
Nidya Shara Mahardika ◽  
Ruhul Afrizal ◽  
I Gusti Bagus Udayana
Keyword(s):  
Expert System ◽  
Quality Parameters ◽  
Flow Diagram ◽  
Test Results ◽  
Forward Chaining ◽  
Tree Diagram ◽  
System Output ◽  
Data Flow Diagram ◽  
Verification Test

Edamame grade is determined based on edamame quality parameters with several parameters that are quite a lot. The process of deciding edamame grade is relatively complicated and challenging. To determine the edamame grade, an experienced expert in the field is needed. With limited grading experts, the design of expert systems for grading edamame can help users or companies to determine edamame grade.  This study aims to design an expert system for determining edamame grade, which can determine the quality of edamame accurately. The Design of an expert system in this research uses the forward chaining method.  The stages of designing an expert system include problem identification, knowledge acquisition, building a data flow diagram, compile the database, building a decision tree diagram, and developing a user interface. The results showed that the expert system has been verified and validated well. Verification test results show that all the menu buttons on the expert system application are functioning correctly. Then, the validation results also show that the edamame quality output produced by the expert system is compatible with the expert solution, meaning that the expert system's output data is by following with the results of the decision given by the expert. In testing the validation of determining the quality is appropriate.  The results of the verification and validation of the edamame grading expert system show that the expert system has produced satisfactory outcomes. Expert system output is compatible with the solution provided by the expert.

scholarly journals Sistem Pakar Diagnosis Penyakit Tanaman Padi Menggunakan Forward Chaining dan Dempster Shafer

2020 ◽  
Vol 2 (2) ◽  
pp. 248-257
Author(s):  
Dianmita Ayu Putri ◽  
Arik Aranta
Keyword(s):  
Expert System ◽  
Theoretical Calculation ◽  
Rice Plant ◽  
Crop Production ◽  
Black Box ◽  
Plant Diseases ◽  
Test Results ◽  
Forward Chaining ◽  
Opinion Score ◽  
Black Box Testing

Rice (Oryza sativa) is one of the main commodities in Indonesia. One of the inhibitors of rice crop production is disease. Rice plant diseases can be caused by pathogens, host plants or bad environment. The process of diagnosing rice diseases requires expertise, knowledge and experience. This study aims to build an expert system that can diagnose 13 types of rice plant diseases from 43 symptoms based on the knowledge of 3 experts with forward chaining reasoning methods and mobile-based dempster shafer calculation methods. The testing technique used is black box testing, theoretical calculation testing, system accuracy testing and MOS (Mean Opinion Score) testing. The black box test results state that the expert system has 100% compatibility in terms of functionality. The theoretical calculation test results state that the expert system calculations are in accordance with the results of manual calculations. System accuracy testing results from 30 test cases get an accuracy of 81.11%. The results of MOS testing conducted on 30 respondents produced MOS of 4.2 from a scale of 5 categorized into a good system.

scholarly journals Pengaruh Larutan Fixer terhadap Kualitas Pewarnaan Biopigmen Rumput Laut Eucheuma sp. sebagai Pengganti Pewarna Sintetis pada Tekstil [The Influence of Fixer for The Quality of Coloring Biopigmen Eucheuma sp. as a Subtitute for Synthetic Dyes in Textiles]

2019 ◽  
Vol 7 (2) ◽  
pp. 183 ◽  
Author(s):  
Sri Subekti ◽  
Achmad Amarudin ◽  
Moch Amin Alamsjah
Keyword(s):  
Block Design ◽  
Economic Value ◽  
Raw Material ◽  
Aluminium Chloride ◽  
Synthetic Dyes ◽  
Color Fastness ◽  
Test Results ◽  
Drying Process ◽  
Randomized Block Design

Abstract Seaweed Eucheuma sp. is one of the natural resources of Indonesia. Seaweed many processed in dry form after going through a drying process or processed into food ready for consumption. Seaweed is no longer just eaten or used to direct treatment, but can be processed into jelly, Algin, carrageenan (carrageenan) and furselaran (furcellaran) which is an important raw material in the food industry, pharmaceuticals, cosmetics and so on. This plant has an important economic value in various industries such as pharmaceutical, cosmetics, food, textile and paper industries. This study aims to determine the Fixer solution of Tawas, Poly Aluminium Chloride and Kapur Tohor most effective at biopigmen Eucheuma sp. instead of synthetic dyes in textile and determine the best concentration of the solution Fixer Tawas, Poly Aluminium Chloride and Tohor in deciding the color biopigmen Eucheuma sp. instead of synthetic dyes in textiles. This study uses a randomized block design (RAK). This research was conducted by observing and comparing the effect Fixer solution between Tawas, Poly Aluminium Chloride and Kapur Tohor against staining quality biopigmen seaweed Eucheuma sp. instead of synthetic dyes in textiles. Organoleptic test results showed fixation material Poly Aluminium Chloride able to maintain better color than the color produced by the fixation Tawas and Kapur Tohor. Poly Aluminium Chloride fixation material produces a bright brown color, Tawas brown, reddish brown Tohor. The test results of color fastness to rubbing cloth (dry) indicates that the color fastness of the strongest to the weakest sequentially generated from Tawas fixation materials, lime Tohor, Poly Aluminium Chloride, while the test fastness to washing soap and desecration of white cloth from the strongest to The weakest is Poly Aluminium Chloride, Kapur Tohor and Tawas.

scholarly journals Sistem Pakar Menentukan Maksimal Kalori Harian Berbasis Mobile

2019 ◽  
Vol 1 (2) ◽  
Author(s):  
Teddy Santya ◽  
Cosmas Eko Suharyanto ◽  
Pastima Simanjuntak ◽  
Alex Alfandianto
Keyword(s):  
Expert System ◽  
Everyday Life ◽  
Dietary Habit ◽  
Test Results ◽  
Inference Method ◽  
Web Based ◽  
Forward Chaining ◽  
Server Side ◽  
Registered User ◽  
Flow Of Time

The study was conducted because of many concerning event happened in purpose of losing weight in improper methods. By the flow of time with technologies developed in this century, Smartphone became one of necessity because of the feature by many applications which helps a lot in our everyday life of humanity. The Researcher conducted this research of mobile-based application expert system which helps people properly losing their weight, this expert system is a supporting utility for taking care of dietary habit based on the amount of calorie limit calculated by this system, and recommends suitable and healthy food for users. This system is built with React Native framework. The calculation in this system is based on information of weight, height, and age provided by users, and all prediction will not be done without the provided information and every calculation is handled by web-based server-side processing which is developed using Laravel Framework. Inference method used by the researcher is Forward Chaining. This expert system will validate user's requirement to start working on losing weight by using Forward Chaining Inference method. Every successfully registered user will be able to view their calculated information by this system which is maximum calorie value, and list of healthy and recommended foods information provided by the expert herself. From the test results, the Expert System can solve the problem of giving a way to run a proper diet program by adjusting the diet with the calories needed.

scholarly journals Accuracy Level of Diagnosis of ENT Diseases in Expert System

KOMTEKINFO ◽  
2019 ◽  
Vol 6 (2) ◽  
pp. 127-134
Author(s):  
Dede Wira Trise Putra ◽  
Ade Oka Utami ◽  
Minarni ◽  
Ganda Yoga Swara
Keyword(s):  
Expert System ◽  
Early Detection ◽  
Naive Bayes ◽  
Naïve Bayes ◽  
Test Results ◽  
Forward Chaining ◽  
Accuracy Level ◽  
Nose And Throat ◽  
Delay In Treatment

Purpose of this study is to test the accuracy of ear, nose and throat (ENT) diseases with an expert system. The expert system is designed to help people make early detection of illnesses so that the possibility of delay in treatment can be minimized. The method used is Naive Bayes with Forward Chaining Inference for 14 types of diseases with 42 symptoms originating from ENT specialists. The method was tested on 25 patients who used an expert system and adjusted the results of expert diagnoses. The test results are influenced by the number of symptoms, so that the accuracy obtained is only 88%. So this research is needed to be further developed to find a more reliable expert system in diagnosing ENT diseases.

scholarly journals Expert System for Diagnosing Pregnancy Complaints by Forward Chaining

SinkrOn ◽  
2020 ◽  
Vol 5 (1) ◽  
pp. 7
Author(s):  
Embun Fajar Wati ◽  
Anggi Puspitasari
Keyword(s):  
Expert System ◽  
Pregnant Women ◽  
Secondary Data ◽  
Mortality Rates ◽  
Labor Process ◽  
Third Trimester ◽  
Forward Chaining ◽  
The Third ◽  
System Success

Limited time in consulting becomes an obstacle for midwives in diagnosing complaints in pregnant women, especially those who are already in the III trimester and approaching the labor process. Misdiagnosis results in inaccuracies in the provision of solutions and actions. Initial treatment that corresponds to the complaints of pregnant women especially the third trimester is expected to reduce mortality rates in the mother and fetus. Expert System can be a timely solution with not too long so as to improve the quality of examination on midwives. The methods used are identification, primary and secondary data collection, forward chaining data analysis combined with bayesian, and evaluation with the calculation of the percentage of system success. Samples taken by 20 patients and 4 patients were declared unsyed because they had only one complaint. Meanwhile, 16 patients had some complaints that complied with the Rules. A total of 11 out of 16 patients or about 70% had valid results between the diagnosis of experts/midwives with the system. It can be concluded that the system works well to diagnose complaints in patients with a third trimester gestational age so that midwives can provide appropriate initial solutions and treatment in reducing maternal and infant mortality.

scholarly journals Rancang Bangun Aplikasi Sistem Pakar Berbasis Android untuk Identifikasi Penyakit pada Gigi dengan Menggunakan Metode Forward Chaining

2021 ◽  
Vol 5 (4) ◽  
pp. 459
Author(s):  
Johan Limantono ◽  
Rinabi Tanamal
Keyword(s):  
Expert System ◽  
Dental Health ◽  
The Body ◽  
Test Results ◽  
Digestive Process ◽  
The Public ◽  
Forward Chaining ◽  
System Diagnosis ◽  
Dental Diseases ◽  
Food Conditions

Teeth are an important part of the body in the digestive process. As a start of the digestive process, teeth receive various kinds of food conditions such as sweet, cold, hard foods, and so on. These food conditions affect dental health so that when teeth are not treated they become vulnerable to disease. Society in general does not pay attention to pain in the teeth. Though the pain in the teeth can be caused by diseases such as dental caries, tartar, and others. The solution of this research is manifested in the form of an expert system to diagnose dental diseases using the Android-based Forward Chaining method. The expert system application used by researchers is McGoo. The purpose of this expert system is to help the public get information and carry out a diagnosis of dental disease independently. Users only need to answer the questions displayed by the system to get the results of the diagnosis in the form of the type of illness and treatment solutions that can be done. The results of the system diagnosis have been tested and validated by experts namely dentists who are the source of information and data. Based on the accuracy of the system diagnostic test results are by the results of the expert diagnosis.

scholarly journals The SISTEM PAKAR MENDIAGNOSA PENYAKIT DEMAM BERDARAH DENGUE (DBD) MENGGUNAKAN METODE FORWARD CHAINING BERBASIS WEB

2019 ◽  
Vol 8 (2) ◽  
pp. 34-46
Author(s):  
Yulisman Yulisman
Keyword(s):  
Expert System ◽  
Dengue Fever ◽  
Dengue Hemorrhagic Fever ◽  
Hemorrhagic Fever ◽  
Test Results ◽  
Web Based ◽  
Advanced Method ◽  
Forward Chaining ◽  
System Method ◽  
Five Phases

Dengue hemorrhagic fever is a disease caused by the dengue virus. This disease is transmitted through the bite of Aedes aegepty and Aedes albopictus mosquitoes. Dengue hemorrhagic fever is an infectious disease that often causes outbreaks and causes death. Usually dengue fever is diagnosed late. The purpose of this study is to design and create an expert system that is able to diagnose early and provide solutions for dengue fever according to the knowledge of an expert. This expert system is web-based using the programming language PHP and MySQL as the database. The method used is forward chaining, which is an advanced method based on the premises in the rules and facts given by the user. The method used in the manufacture and development of expert systems is the waterfall system method which consists of five phases. Test results based on advanced sequences, namely the system is able to obtain clinical diagnosis results and the system is able to provide information and solutions about dengue fever based on the knowledge and abilities of the doctor.

scholarly journals SI-PAKARDI (Sistem Pakar Diagnosa Penyakit Gigi) Menggunakan Metode Forward Chaining

2020 ◽  
Vol 8 (1) ◽  
Author(s):  
Andrian Eko Widodo ◽  
Suleman Suleman ◽  
Angga Ardiansyah ◽  
Dany Pratmanto ◽  
Sopian Aji ◽  
...  
Keyword(s):  
Expert System ◽  
Expert Knowledge ◽  
Dental Health ◽  
Dental Disease ◽  
Test Results ◽  
Inference Method ◽  
Community Based ◽  
Forward Chaining ◽  
Dental Diseases ◽  
System Knowledge

AbstractThe lack of knowledge about dental health and the still limited awareness of the community about dental health, makes some of our community set aside in efforts to prevent or treat dental disease. So we need a system or application that can help people to find out about dental diseases, as well as solutions to overcome these problems. This expert system knowledge base is formed by the if-then rules. The inference method used is forward chaining. This dental disease expert system is based on Android so it can be used anytime and anywhere by the community. Based on the acquisition of expert knowledge obtained 12 rules, 12 diseases, 25 symptoms. Blackbox test results show the application features that are made to run with a fairly good level of success. Unit test results indicate that the application has succeeded in making inferences properly and correctly, in accordance with applicable rules.Keywords: Dental disease, forward chaining, android, expert systemAbstrakMinimnya pengetahuan kesehatan gigi dan masih terbatasnya  kesadaran masyarakat tentang kesehatan gigi, membuat sebagian masyarakat kita mengesampingkan dalam upaya mencegah atau mengobati penyakit gigi. Maka diperlukan suatu sistem atau aplikasi yang dapat membantu masyarakat untuk mengetahui tentang penyakit gigi, serta solusi untuk mengatasi permasalahan tersebut. Basis pengetahuan sistem pakar ini dibentuk dengan aturan if-then. Metode inferensi yang digunakan adalah forward chaining. Sistem pakar penyakit gigi ini dibuat berbasis android agar bisa digunakan kapan saja dan dimana saja oleh masyarakat. Berdasarkan akusisi pengetahuan pakar didapat 12 aturan, 12 penyakit, 25 gejala. Hasil uji blackbox menunjukan fitur-fitur aplikasi yang dibuat berjalan dengan tingkat berhasilan yang cukup baik. Hasil pengujian unit menunjukkan bahwa aplikasi telah berhasil melakukan inferensi dengan baik dan benar, sesuai kaidah yang berlaku. Kata kunci : Penyakit gigi, forward chaining, android, sistem pakar

scholarly journals Perancangan Sistem Pakar Gejala Penyakit Saluran Pencernaan Dengan Pengobatan Tanaman Herbal Berbasis Web

2019 ◽  
Vol 4 (2) ◽  
pp. 14-18
Author(s):  
Angga Ardiansyah ◽  
Dany Pratmanto ◽  
Aep Saprul Mujahid
Keyword(s):  
Medical Education ◽  
Expert System ◽  
Software Package ◽  
Psychotic Disorders ◽  
Human Life ◽  
Forward Chaining ◽  
Digestive Diseases ◽  
Herbal Plants ◽  
Biomedical Field

Abstract - Expert system is a software package or computer program package that is intended as a provider of advice and help tools in solving problems in certain areas of specialization such as medical, education, and so on. The development of the development of expert systems in the biomedical field is one thing that is expected to improve the quality of human life. One of them is by applying an expert system by using the Forward Chaining method to diagnose psychotic disorders due to substances. This study aims to increase knowledge about how to make an inference engine to control the process of identifying solutions using the Forward Chaining method, as well as designing expert system applications using the Forward Chaining method to diagnose substance-induced psychotic disorders. Keywords: Expert System Programs, Digestive Diseases, Herbal Plants

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