Web-based Expert System Research Articles

A Knowledge-Based System for Intelligent Control Model of Rice and Wheat Combine Harvester

The intelligent regulation and control strategies for rice and wheat combine harvesters’ operation are lacking and the rule of parameter matching is fuzzy in China, around these issues. The dynamic correlation control law among the parameters of rice and wheat, cleaning operation parameters of combine harvesters, the cleaning loss rate and impurity rate, and so on are studied. The intelligent control model for the rice and wheat combine harvester is established based on case-based reasoning (CBR). According to different rice and wheat varieties, water content and other rice and wheat properties, the control scheme of cleaning fan speed, air distributor plate angle and upper sieve opening with low cleaning impurity rate and cleaning loss rate is provided. Through the development of web-based cleaning intelligent control expert system and experimental evaluation, the feasibility and effectiveness of the CBR method in the intelligent control filed of rice and wheat combine harvesters are verified.

Database Security in System Design High School Achievement Expertise

Surakarta City's State SMA has a variety of accomplishments. To observe these accomplishments, you will need an expert system to educate the community about the school's accomplishments, including student and teacher or educator accomplishments. It is also vital to construct the system database while creating the school achievement expert system. When creating a system, developers frequently overlook the data security element of the database. Data mapping, context diagrams, and table relations are all used in the system architecture. This research will also look at MySQL's database access rights limitations, which help control who may access the database. The authors describe a web-based school achievement expert system design based on this architecture as a source of information on accomplishment in public high schools in Surakarta. Literature research, data gathering, developing a performance expert system, and designing and security system database security procedures at Public Senior High School Surakarta are used in this study. The school accomplishment expert system at Public Senior High School Surakarta based on achievement category, achievement level, year of achievement, and the design of the school achievement expert system database in terms of database security are the study's findings

Heart Disease Diagnosis Expert System Using Nearest Neighbour Algorithm

Heart disease is a disease that is very dangerous for human survival, the World Health Organization (WHO) states in 2016 an estimated 17.9 million people died from cardiovascular disease, of these deaths 85% were caused by heart attacks and strokes. More than three-quarters of deaths from cardiovascular disease occur in low-income countries (WHO, 2017). Therefore, heart disease must be treated early when symptoms appear. Advances in Artificial Intelligence technology, one of which is an expert system, can overcome this problem by designing a web-based computer system that uses databases and programming languages such as PHP-MySQL so that it can help heart patients to diagnose the disease. Therefore, the author has the aim of this study is to build a web-based expert system for diagnosing heart disease. This expert system application uses the Nearest Neighbor Retrieval method in order to represent the knowledge of cardiologists and can be useful for the community. This system can diagnose 27 symptoms or conditions related to heart disease, so that the diagnosis of these symptoms will produce output in the form of the probability of possible disease according to the correlation of the symptoms entered. This system is effective enough to be used as an alternative solution for the community in diagnosing heart disease, because this system has been tested by experts and produces an accuracy rate of 90.00%.

Penerapan Metode Forward Chaining dan Algoritma Certainty Factor Untuk Mendiagnosa Penyakit Pada Kucing Berbasis Web

Cats are animals that are very popular today among people, from young people to old people who like cats. We as cat owners must also be responsible for sharing all the needs of the cats we raise. However, many activities and other matters from cat owners also sometimes do not remember to pay attention to the health condition of the cat, so that the cat is susceptible to various diseases. Of the various diseases, generally there are indications that will appear. However, to be able to identify correctly and correctly the type of disease that occurs, of course you need an expert or a veterinarian. On the other hand, the number of veterinarians available is very limited and the number of veterinary clinics is still low. Therefore, it is necessary to build a system that can help diagnose diseases in cats. The purpose of this study is to diagnose early disease in cats to make it easier for cat owners to find out what diseases their pets suffer from with this web-based expert system application. This diagnosis is designed usingmethods Forward Chaining and Certainty Factor. The method Forward Chaining is starting from a set of data that leads to a conclusion. While thealgorithm is Certainty Factor used to calculate the level of confidence from the conclusions of the method Forward Chaining, using PHP programming tools, and Sublime Text 3 and MySQL as databases. From the day of testing the application, there were 250 data with the conclusion that 27 cats (10.8%) were diagnosad with Toxoplasmosis. 79 cats (31.6%) were diagnosad with Cat Flu. 68 cats (27.2%) were diagnosad with Feline Panleukopenia, 46 cats (18.4%) were diagnosad with Cryptococcus and 30 cats (12%) were diagnosad with Feline Infectious Peritonitis.

Sistem Pakar Mendiagnosa Penyakit Tropik Infeksi Dengan Menggunakan Metode Certainty Factor (CF)

The impact of computer technology has played a major role in changing aspects of human life, especially in the health sector where in the midst of an epidemic that hit a system that is able to reduce the impact of the crowd is needed. One of them is a system for diagnosing disease, and the disease to be studied is a type of infectious disease and a disease that is increasing in the midst of an epidemic, namely infectious tropical diseases or diseases that develop in a tropical climate. The purpose of this study is to build a web-based expert system application that is able to diagnose infectious tropical diseases using the certainty factor (CF) method, and development using the waterfall model. Tests are carried out with blackbox tests and validity tests, on blackbox tests the system runs as expected and on the validity test the system is declared valid to be used. In the user test, the calculation obtained using the CF method is 97.65% certainty level. The research concludes that the system is able to provide a confidence value and can diagnose the type of infectious tropical disease based on the symptoms selected by the user. Because the system still has limitations, it is hoped that the system will be developed using other methods so that it is more useful for users.

Sistem Pakar Menentukan Keahlian Siswa Menggunakan Metode Forward Chaining

SMK Negeri 5 Surabaya is one of the flagship vocational schools in Surabaya that produces alumni who are ready to work. The selection of expertise competencies in SMK Negeri 5 Surabaya tends to be subjective, because of the encouragement of parents and friends who suggest entering certain skill competencies, so students feel wrong in the competence of those skills. At SMK Negeri 5 Surabaya there is no specific test to determine what competence of expertise is suitable for the student, from the results of observations and interviews that have been conducted by the author of this study to create a web-based Expert System application using the Laravel framework and use parameters based on report card results and minimum completion criteria in class X as a basic reference with the aim to facilitate students in providing second opinion. the competence of the students. The method used in the creation of this Expert System is to use the Forward Chaining method, a method that provides a rule based on inference that performs reasoning based on a problem and will conclude a solution. A series of processes have been passed by the author ranging from data collection by observing, and interviews, system design, implementation, and application creation created an application this Expert System can overcome the complaints of students who can not follow learning because of lack of interest in learning because it is not in accordance with the desired

Sistem Pakar Menentukan Keahlian Siswa Menggunakan Metode Forward Chaining

SMK Negeri 5 Surabaya is one of the flagship vocational schools in Surabaya that produces alumni who are ready to work. The selection of expertise competencies in SMK Negeri 5 Surabaya tends to be subjective, because of the encouragement of parents and friends who suggest entering certain skill competencies, so students feel wrong in the competence of those skills. At SMK Negeri 5 Surabaya there is no specific test to determine what competence of expertise is suitable for the student, from the results of observations and interviews that have been conducted by the author of this study to create a web-based Expert System application using the Laravel framework and use parameters based on report card results and minimum completion criteria in class X as a basic reference with the aim to facilitate students in providing second opinion. the competence of the students. The method used in the creation of this Expert System is to use the Forward Chaining method, a method that provides a rule based on inference that performs reasoning based on a problem and will conclude a solution. A series of processes have been passed by the author ranging from data collection by observing, and interviews, system design, implementation, and application creation created an application this Expert System can overcome the complaints of students who can not follow learning because of lack of interest in learning because it is not in accordance with the desired

SISTEM PAKAR DIAGNOSA GANGGUAN KEJIWAAN MENGGUNAKAN METODE FORWARD CHAINING BERBASIS WEB

According to WHO, mental health is a physical condition of a person's sense of well-being, so that there is the ability to manage the normal stresses of life, to be able to work productively and to complete task detecting a disease with a computer will make it easier for medical personnel and the public to determine conclusions in the form of solutions and handling. One form of technological progress is an expert system which is part of artificial intelligence by utilizing one method, namely forward chaining. This study uses the forward chaining method by providing information to diagnose 9 disease data and 22 symptom data accompanied by disease data, symptoms, explanations of types of diseases, causes, and solutions for patients. A web-based expert system can diagnose mental disorders so that patients can do digital consultations about their illnesses. Based on the results of the analysis on the system, data from the number of visitors showed that the percentage of respondents' answers was 98.99% already user friendly and responsive. And the results of system testing using black boxes show a 100% percentage, until it can be concluded that the expert system application is feasible to use.

Designing Expert System for Diagnosing Cancer with Forward Chaining Method

Abstract - This study aims to produce software in the form of a Cancer Diagnosis Expert System using a system capable of managing the implementation of general disease diagnosis input in humans, namely registration, filling in symptoms of disease, early diagnosis, and given drugs. This research also tested the feasibility level of the software that has been made. The system development method uses the waterfall method with a 4-stage design, namely Analysis, Design, Coding and Testing. Meanwhile, the method of finding / drawing conclusions is the forward chaining method.. Software testing is done through black-box testing, McCall's Quality Factor as an indicator to determine the feasibility of the software with a measurement scale using a Likert scale. Interviews and questionnaires are techniques used to collect data, while data analysis techniques use quantitative descriptive analysis. The web-based expert system for diagnosing rice plant diseases that has been developed has the advantage of ease of access and ease of use. With its web-based features, the expert system for cancer diagnosis that has been built can be used as a tool for diagnosing various types of cancer and can be accessed by anyone.Keywords - Expert System, Cancer Disease, Diagnosis, Forward Chaining

Sistem Pakar Mendiagnosa Penyakit Ayam Kampung Dengan Menggunakan Metode Certainty Factor Berbasis Web

Poultry farming in Indonesia is still not successful in meeting some of the domestic needs, including being vulnerable to attacks by dangerous animal diseases. People are also restless because of dangerous diseases from chickens that can be transmitted to humans due to consuming chicken meat that has been infected with the disease. The case study in conducting research to diagnose free-range chicken disease was carried out at the Bang Ari Chicken Farm on Jalan Jamin Ginting Pamen Complex No.14 Padang Bulan, Medan Baru District, Medan City. The required criteria data is the type of disease and symptoms of the disease that attacks native chickens as well as the treatment actions that will be taken against the diseased chickens according to the disease experienced. This study aims to build a web-based expert system in diagnosing free-range chicken diseases using the certainty factor method. From the case example, the results of the calculation of certainty factor on the symptoms of free-range chickens, the disease that has the largest percentage value is P 7, namely Chronic Cough Disease of 97.50%. The system for diagnosing free-range chicken disease was built using a web-based programming language and MySQL database.

PERANCANGAN SISTEM PAKAR UNTUK IDENTIFIKASI KERUSAKAN HARDWARE DAN SOFTWARE PADA SMARTPHONE DENGAN MENGGUNAKAN METODE FORWARD CHAINING

Smartphone is a mobile phone that has the ability to use and function like a computer. The use of smartphones that are too frequent is one of the factors that trigger the damage caused, such as falling, being exposed to water or using the wrong way in everyday life. To help or protect smartphone users from deceit and cheating service workers that often occur today, an expert system is designed to detect hardware and software damage that occurs on smartphones in the form of applications. With this expert system, even ordinary people can find out the damage that occurs to smartphones which can only be obtained with the help of experts in their fields. This expert system is made using PHP and MySQL database so as to produce a web-based expert system to identify smartphone damage using the forward chaining method.

Sistem Pakar Diagnosis Penyakit Ayam Broiler Berbasis Web

Mr. Jumaldi Jani, SP., MM Broiler Chicken Farm is a chicken farm that was founded in 2013. In carrying out its business processes, handling of raising and developing poultry is only handled by one person who is taken as the farm supervisor. This is very ineffective in handling diseases that attack chickens because the knowledge of the maintenance and handling of chickens that have disease is only owned by one person. The purpose of this study is to create a Web-Based Chicken Disease Diagnosis Expert System, which can be accessed easily, quickly, economically, can be done anytime or anywhere without knowing the distance and time. The method used in this research is web engineering which has stages: customer communication, planning, modeling, construction and deployment. The establishment of a Web-Based Broiler Chicken Disease Diagnosis Expert System is expected to facilitate the public about conducting consultations on Broiler chicken disease easily, quickly, and economically, it can be done anytime and anywhere without looking for distance and time.

SISTEM INFORMASI PELACAKAN KERUSAKAN LAPTOP DENGAN DUKUNGAN MODUL SISTEM PAKAR

Thexhighxusexofxlaptops today by individuals will affect the condition of laptop andcausing various damage to the laptop itself. The limited knowledge by user solving the problemson a laptop make user have to consult an expert technician to obtain a solution for existingdamage. On the other hand, many and varied defects of laptops, as well as the hectic tasks thatmust be performed by technicians, causing problems on the side oftechnicians.xUtilizationxofxinformation technologyxcanxbexaxsolutionxtoxovercomexproblemsbetween users and technicians. By building a web-based expert system to get the result ofdamage diagnosis and repair solutions, hopefully it can help users find out what problems ontheir laptop and make it easier for technician to deal with damage. This research using webbasedforward chaining as system method. This system can display the results of a laptopdamage diagnosis that it come from symptoms asked by system and repair solution fromdamage diagnosis. Basedxonxthextestxresultsxusingxblack boxxmethod,xthexsystems hasfunction that according with system design, can run according to orders, andhavexbeenxdeclaredxsuccessful.xBasedxonxthexresultxofxthexSystemxUsabilityScalex(SUS)xtest, this system obtainxscorex82.5, which means that the whole system can beaccepted as functioning well on the web.

Sistem Pakar Mendiagnosa Penyakit Bawang Merah Dengan Metode Depthfirst Search Backward Chaining

There were 12 disease data obtained from the agriculture and horticulture department of Deli Serdang, namely earthworms, thrips pests, leaf caterpillars, armyworms, aphids, root namhodes, purple spots, powdery mildew, stem neck rot, anthracnose, fusarium wilt, rot. poor, dead shoots (phytopthora porri foister) and there are 30 Symptoms of disease in onion plants An expert system is a computer program that provides expert advice (decisions, recommendations or problem solving) as if people had been consulted. The backward chaining method is the opposite of forward chaining which starts with a hypothesis (an object) and asks for information to convince or ignore. Backward chaining inference engines are often called Object-Driven/Goal-Driven. In this study, a web-based expert system was designed using the backward chaining method which aims to detect the type of disease in shallot plants by paying attention to the symptoms experienced in shallot plants. By using the backward chaining method, the value of disease certainty in shallot plants will be obtained from the expert system designed. The test results concluded that the design of an expert system for diagnosing diseases in shallots using the backward chaining method was as expected.

Implementasi Metode Forward chaining dan Certainty factor dalam Mendiagnosa Autisme Anak Berbasis Web

Lack of parental or community knowledge of the symptoms of autism in their children results in neglected early detection. This of course can be too late in the treatment of autism in the future. Therefore, this study aims to design a web-based expert system for diagnosing children's autism. The development model used to design an autism expert system in children is a waterfall and implements the forward chaining method and the certainty factor method. While the data collection methods consisted of interview methods and literature study methods. From the results of the calculation test, it is concluded that the results of manual calculations and the web-based application of an expert system for autism diagnosis in children are the same as the results of the 98% confidence level. With this web-based autism expert system in children, it is hoped that it can help parents or the community to detect autism in their children early on.Keywords:Autism, Expert System, Web Based, Forward chaining Method, Certainty factor Method.

Application of Certainty Factor Method in Diagnosing Nutrient Deficiency in Coffee and Coconut Plants

Plantation Coffee and coconut are superior export commodities that have a high investment value in maintaining the economy and balancing the balance of plantation commodities in Indonesia. One of the obstacles that is often experienced by managers of coffee and coconut cultivation is a lack of understanding in the diagnosis of plants that are deficient in macro and micro nutrients, as the main needs for quality of the results. On the other hand, the number of plantation crop experts is relatively small. Seeing these conditions, this study has built an expert system that is able to diagnose the symptoms of nutrient deficiency in coffee and coconut plants. The expert system is built by applying the certainty factor method, so that it can overcome the problem of uncertainty in diagnosing. The percentage level of certainty is obtained from the MB and MD assessment of an expert. This expert system was built using the Expert System Development Life Cycle method. The results of this study are a web-based expert system that is suitable for use by managers of coffee and coconut cultivation in diagnosing nutrient deficiencies, so that it can be known in detail independently and can reduce production costs.

Design of Expert System for Diagnosis of Gonorrhea Disease by using Web-Based Naïve Bayes Method

Gonorrhea is a sexually transmitted disease caused by the bacterium Neisseria gonorrhea that infects the lining of the bladder, cervix, rectum, throat, and the whites of the eyes. This disease is spread through the bloodstream to other parts of the body, especially the skin and joints and is generally transmitted through sexual contact. Gonorrhea not only affects adult men and women, but babies and even newborns can get gonorrhea from their mothers. An expert system is a system that seeks to adopt human knowledge into computers, so that computers can solve problems like an expert. With this expert system, the public can obtain information or can solve the problems they face which can only be obtained with the help of experts in their fields. This study explains how the expert system diagnoses Gonorrhea using the Naïve Bayes method. By using the Naïve Bayes method, it can predict future probability values based on previous experiences experienced by people with gonorrhea, Document classification can be personalized, tailored to the needs of each person. By using this expert system application, it can provide information and make it easier for the public to be more familiar with Gonorrhea and can handle problems based on the expertise of doctors who are experts in their fields. This expert system can provide solutions and prevention of gonorrhea disease with the diagnosis process carried out efficiently and save time in helping the community in the prevention that occurs. This web-based expert system application is built with the PHP programming language and MySQL data storage.

Sistem Pakar Mendiagnosa Gangguan Koneksi Internet Berbasis Web Menggunakan Algoritma Rete

Expert System to Diagnose Internet Connection Disorders is a series of systems that utilize digital technology to do special analysis. At PT.Telkom the Sumbagut Infratel Division already has its own website, but in providing expert system information about connection disruptions is still via the telephone, therefore a web-based expert system is designed, to facilitate the community in finding solutions to internet connection disruption. With the creation of this expert system, it is expected to provide solutions to current problems. In other words, this expert system can be said as a digital technician. The expert system to diagnose internet connection problems has been designed and implemented using the Visual Basic 2008 program and Microsoft Access as the database while the algorithm used is the Rete algorithm.This application is only admin that can process data input, edit data, and delete data. While the user can only consult and find information about internet connection disruption and the solution, with the program design that the authors make this hopefully can be used by all parties.

Web-based expert system to determine digital forensics tool using rule-based reasoning approach

Digital forensics is a method to trace the digital evidence using knowledge of science. There are several stages in the method of digital forensics. Each stage has their own way to use the method collaborate with the tool of digital forensics. Nowadays, there are tools that we can use in digital forensics. Therefore, not all the tool coming with the help document on how to use the tool. This situation makes the investigator have to check the feature of the tool one by one in order to suit which one is the best tool to use in some stage. To overcome this problem, we made a system to determine the right tool in digital forensics using rule-based reasoning approach. The result of this paper is web-based system to determine the right tool in digital forensics. The system shows that only 40% in suitability to help the investigator to determine the right tool. This cause by lacking of the rule consists in the reasoning approach.

Sistem Pakar Mendiagnosis Penyakit Pada Ayam Broiler Menggunakan Metode Teorema Bayes Berbasis Web

The need for chicken cannot be denied in Indonesian society, especially in the consumption of eggs and chicken meat so that it will affect economic growth. To produce healthy meat and eggs free of disease, breeders must pay attention to the health of their pet chickens. Starting from providing rations, vaccination and cage maintenance. Chicken disease is very susceptible to cage cleanliness and consumption of the food given. As for the scope of the problem in this study, namely disease in broiler chickens. The system used is a web-based expert system with the Bayes Theorem method. By applying the Bayes theorem method to expert systems in diagnosing broiler disease and designing an expert system application in determining broiler disease. Aims to assist breeders in dealing with diseases specifically broiler chickens and add to the list of references in applying the Bayes Theorem method to expert systems. Using testing with the PHP MYSQI application with the supporting tools.