Web-based Expert Research Articles

Aplikasi Sistem Pakar Diagnosa Kerusakan Motor Matic Injeksi Berbasis Web (Studi Kasus: Bengkel Pelangi Motor)

Abstract
 
 In the case study at the Pelnagi Motor workshop located on Jl.Raya Serua Cinangka, Bojongsari District, Depok City, there is a problem that there is no automatic system to analyze damage to an injection matic motorbike to ease the work of mechanics or workshop mechanics. This research aims to design a web-based expert system application to help and facilitate the work of a mechanic or workshop mechanic. Researchers use the Prototyping Model as a method of designing systems that are built. And the use of the Forward Chaining method as the brain of the expert system. The system is implemented into a damage detection/diagnosis web application that can help mechanics or mechanics analyze customer vehicle damage and receive repair instructions quickly.
 
 Keywords: Injection Matic Motorcyle, Expert System, Forward Chaining

Tobacco Agridaksh: An Online Expert System

New advances in information technology led to the development of Expert Systems and their application in various sectors including farming. In India, agricultural production has been transformed into a multifaceted business enterprise. Indian agriculture to remain competitive needs the accumulation and integration of scientific knowledge, and information from many diverse sources. Indian farmer often relies on agricultural specialists, advisors and agricultural research and development institutes for agricultural information for better decision making at the actual farm situation. Unfortunately, timely specialist assistance is not available when the farmer needs. Thus the situation demand for a ‘virtual expert’ who can give personalized expert advice to a large community of farmers, specific to their needs and aspirations considering various knowledge sources. The role of expert systems in tobacco sector and its applications in effective production and protection technologies have been discussed in this article. It is almost impossible for any human expert to consider every piece of available information before arriving at optimal decisions. To overcome this problem and provide precise information to the farmers, “expert systems” have been developed with a primary goal to make expertise available to clients and decision makers who need answers swiftly. The main aim is to deliver the required information and disseminate the up-to-date scientific knowledge in a readily accessible and easily understood form to the farmers. It is one of the most efficient extension tools to take the technology from scientists to the growers directly without any distortion of content which normally creeps in because of multiple agencies involved in conventional technology transfer systems. With this aim, ICAR-Central Tobacco Research Institute has developed a web-based expert system on tobacco using “Agridaksh”- an online tool developed by ICAR-Indian Agricultural Statistics Research Institute. This, online expert systems has the tremendous capacity to transfer location specific technologies and advice to the farmers with a greater precision

들기 작업의 허리부하 평가 및 자세 추천을 위한 작업자 중심의 웹기반 전문가시스템

들기 작업의 허리부하 평가 및 자세 추천을 위한 작업자 중심의 웹기반 전문가시스템

Expert System for Diagnosing Scabies using the Case Based Reasoning Method

Health is very important for humans, people who don't take care of their health can trigger diseases. Currently, diseases that are not given enough attention are skin diseases, one of which is scabies . Scabies is a disease caused by the mite Sarcoptes scabies which is characterized by scabs and itching of the skin. Scabies disease is easily spread either directly or indirectly. At present, people do not really care about scabies because scabies has symptoms that are just ordinary itching, this happens due to the lack of public knowledge about scabies. To obtain a diagnosis of scabies, you can usually consult a doctor, but due to the limited time for consulting a doctor, there are often problems that make it difficult to obtain information on a diagnosis of scabies. Therefore an expert system was designed to find out and get information quickly about the symptoms that are felt associated with scabies. The method used in expert systems is Case Based Reasoning (CBR). The CBR method is to solve problems by recalling the same or similar events (similarities) that have occurred in the past and then using knowledge or information. This expert system can provide solutions for scabies with the diagnosis process being carried out efficiently and saving time. This web-based expert system application was built using the PHP and MySQL programming languages

Aplikasi Pengukuran Tingkat Stres Pada Mahasiswa Tingkat Akhir Dengan Metode Certainty Factor

Introduction: This stress level measurement application for final year students provides information about the level of stress experienced by students based on the symptoms felt by students, by displaying the results of the diagnosis in the form of the selected symptoms, the level of stress experienced along with the percentage of beliefs, and the solutions recommended. Purpose:to build a web-based expert system to measure stress levels in final year students and find out the level of stress experienced by students and provide recommendations for solutions to these students by applying the certainty factor method. Method: This study uses a quantitative method by carrying out a calculation process using the ceratinty factor, namely the calculation process is obtained from the quantitative value of the selected symptoms and then calculated based on the CF formula. Results: This application has an accuracy rate between the system and experts worth 90% based on 20 cases that have been tested, which shows that the certainty factor method can be applied in measuring stress levels in final year students. Conclusion: this application can be applied to measure stress levels in final year students with an accuracy value of 90%.

THE PRUDENCE OF ADMINISTRATIVE JUDGES IN THE DIGITAL EVIDENCE IN THE ERA OF APPLYING E-GOVERNMENT INFORMATION TECHNOLOGY

In this research, the use of digital evidence in courts is studied. State administrators, including the executive and the legislative, must use information technology (e-government), especially the judiciary. Digital evidence is also frequently utilised to resolve administrative disputes between states. Judges should be able to look over and evaluate cases that involve digital evidence in order to do this. The Supreme Court has issued PERMA Number 1 of 2019 concerning the Electronic Administration of Cases and Trials in Courts in order to get ready to adapt to changes in the digitalization of electronic services (e-government). This time, the Supreme Court is taking reforming the justice system’s information technology field seriously as seen by the E-Court. Administrative Court Judges can make an effort, but in the digital age, Administrative Judges must pay attention to the entire e-government system. For instance, licencing now involves an integrated online system that includes components of the regional government, the provincial government, and the government centre. These factors make it possible for administrative judges to consult with web professionals. Because it is virtually difficult for an administrative judge to have good and accurate understanding of digital forensics, digital web forensic experts are required when proving matters at the Administrative Court. Web-based experts will provide insight into a case, assisting State Administrative judges in making judgements. The Supreme Court should hold education and training regarding online licensing, online registration, and online validation carried out by the executive. Administrative judges should not hesitate to present web expert witnesses to explain an administrative case.

Web Based Expert System in Area & Land Value Calculation and Faraid Distribution

E-FaraidTanah is a web-based expert system that can help Muslims better understand Islamic Inheritance Law and calculates land distribution based on Faraid law. The main goal of this project is to develop the E-FaraidTanah prototype and to evaluate the user satisfaction. The methodology use throughout this project is an iterative and incremental model which offers the advantage of allowing the project improvement in a step-by-step basis. Hence, it is much easier to control risk and track errors at an early stage. E-FaraidTanah has been analyze based on usability testing through an online survey involving Muslim university students that measures percentages. Findings indicate that 82% of 30 respondents agreed that E-FaraidTanah performed well in terms of efficacy and efficiency. Thus, it is beneficial to assist society awareness on how Faraid property is divided and calculated.

Al-DeMat: A web-based expert system platform for computationally expensive models in materials design

We present a web-based framework based on the R shiny package with functional back-end server in machine learning methods. A 4-tiers architecture is programmed to achieve users’ interactive design and visualization via a web browser. Many data-driven methods are integrated into this framework, namely Random Forest, Gradient Boosting Machine, Artificial and Deep neural networks. Moreover, a robust gradient-free optimization technique, the Particle Swarm Optimization, is used to search optimal values in hyper-parameters tuning. K-fold Cross Validation is applied to avoid over-fitting. R2 and RMSE are considered as two key factors to evaluate the trained models. The contributions to the expert system in materials design are: (1) A systematic framework that can be applied in materials prediction with machine learning approaches, (2) A user-friendly web-based platform that is easy and flexible to use and (3) integrated optimization and visualization into the framework with pre set algorithms. This computational framework is designed for researchers and materials engineers who would like to do the preliminary designs before experimental studies. Finally, we demonstrate the performance of the web-based framework through 2 case studies.

WEB-BASED EXPERT SYSTEM TO DIAGNOSE OVARIAL CYST DISEASE USING CERTAINTY FACTOR METHOD

Ovarian cysts are one of the most common forms of reproductive disease affecting women. Cyst or tumor is a form of abnormality that can be regarded as a benign growth of smooth muscle cells in the ovaries. Cysts are usually harmless but do not rule out the possibility of a malignant cyst or even turn into cancer. The thing that makes ovarian cysts dangerous is when they burst, are very large, or block the blood supply to the ovaries. Lack of knowledge of the general public about the symptoms that cause ovarian cyst disease makes it too late to detect this disease early so it is slow in handling, there are even some cysts or tumors which when they become malignant are only detected as having ovarian cysts, as well as unhealthy lifestyles of today's society such as consuming alcohol, fast food, causing the body to produce more chemicals. To overcome this problem, the design of a web-based expert system to diagnose ovarian cyst disease using the certainty factor method is made to assist the public or users in diagnosing through the symptoms they feel. The method used to diagnose ovarian cyst disease is the Certainty Factor method. From the calculations that have been inputted by the user, the results obtained are 97% confidence that the patient is likely to be diagnosed with cystadenoma ovarii mucinosum. With this web-based expert system program, it is hoped that the general public or users can diagnose ovarian cyst disease through the symptoms felt so as to minimize the possibility of the cyst becoming malignant.

Diagnosa Penyakit Bells Palsy Menerapkan Metode Tsukamoto

Bell’s Palsy is paralysis of the facial muscles that causes one side of the face which causes one side of the face to sag. In Indonesia, there are many cases of bell's palsy but it is definitely difficult to determine. In this case, there was a case of bell's palsy in Indonesia of 19.55%, from all the most frequent cases of neuropathy that were found in the age of 20-50 years, and the incidence increased with increasing age after 60 years. About 60-85% of sufferers can recover completely within 3 weeks and only 15% require 3 months. But there are 30% of those who have a lifetime disability due to the patient not getting better for 4 months. Therefore an expert system was designed to diagnose bells palsy. The method used in the expert system is the Tsukamoto Method. The Tsukamoto method is a development of the Mamdani and Sugeno methods which use control and are also used by humans instead of machines. Fuzzy Tsukamoto is one method that is very flexible and has a tolerance for existing data. This expert system can provide solutions and ways to prevent bell's palsy with the diagnosis process carried out efficiently and save time in helping the general public in the prevention that occurs. This web-based expert system application was built with the PHP programming language and MySQL data storage

Sistem Pakar Untuk Diagnosa Retardasi Mental Anak dengan Metode Bayes Berbasis Web

In children's mental retardation, sometimes the child's parents cannot directly consult with a psychiatric specialist because of the limited time in carrying out activities in the hospital and the high cost. Advances in expert systems can overcome this problem, namely by designing a web-based computer system that is integrated with databases and programming languages ​​such as PHP-MySQL so that it can help patients with mental retardation to diagnose the disorder. The purpose of this research is to build a web-based expert system for diagnosing mental disorders. The application of the expert system in this decision making uses the Bayes method, in probability theory and statistics, the Bayes theorem is a theorem with two different interpretations. In Bayes' interpretation, this theorem states how far the degree of subjective belief must change rationally when there are new clues. to get a diagnosis. The result of the implementation of the system is that the system provides choices in the form of symptoms that must be answered by the patient's parents based on the symptoms experienced by the patient and the results of the process the system will provide information on the mental retardation he experienced in order to get a solution with the handler

SISTEM PAKAR UNTUK PEMILIHAN GITAR LISTRIK MENGGUNAKAN METODE CERTAINTY FACTOR PADA TOKO ALAT MUSIK SUNYOTOK

Guitar is one of the most popular and easy to find instruments in people's lives, from children to parents who like guitar instruments. But in searching for a guitar or buying a guitar, many are wrong in choosing a guitar because it does not match the genre of music being played.In this research, an analysis of existing problems is carried out, the author tries to create a web-based expert system that can help solve existing problems. This research uses the certainty factor method. The application development stage begins with the stages of problem analysis, system design, designing system process models, interface design, and relations between tables.The application made is a web-based expert system to help in choosing the best guitar according to the criteria entered into the system, and displaying presentations in the guitar choices given as well as a detailed explanation of the guitar. Expert systems are built using the PHP programming language, MySQL database server, and sublime text as a text editor.

Kişisel Beslenme Planlamasina Yönelik Web Tabanli Uzman Sistem Tasarimi ve Uygulamasi

Recently, expert systems have been used in different fields for different purposes in order to respond to the changing user needs with the rapid development of information and communication technologies. The most important of these can be listed as interpretation, prediction, diagnosis, design, planning, imaging, debugging, maintenance, education and control. With the increase in the use of expert systems in the field of healthcare, expert systems are not only used for diagnosis and treatment, but also act as a decision support system. Today, there are many software and approaches for nutrition program planning on the basis of nutrition-oriented practices. In particular, rule-based or case-based expert systems are frequently used in the field of nutrition. The aim of the research is to develop a web-based expert system prototype in the field of nutrition with a rule-based system approach using the Prolog development environment. For this purpose, because of clear and neat syntax, one of the expert system programming languages based on "first order predicate calculus" that is Prolog, PHP for web and in the design phase; Bootstrap framework were preferred. For data visualization, data is retrieved from MySQL database. The application developed within the scope of the research is expected to contribute to the efficient implementation of nutrition planning, especially for institutions with insufficient human experts. In this sense, a system that offers personalized nutrition program recommendations for people of different ages, genders, heights, weights and therefore different body mass indexes has been developed. Thus, considering the benefits of proper nutrition, it is expected that the developed system will help the dietitian in the process of determining the nutrition program/meal planning, and for the patients in the processes of maintaining and monitoring it.

Sweet Potato Pest Diagnosis Expert System (Ipomoea Batatas) with Forward Chaining Method and Certainty Factor

Sweet potato (Ipomoea batatas) growth and development is influenced by biotic and abiotic factors. One of the biotic factors that influence it is a pest attack. Pests are organisms that cause direct damage to plants. Farmers need to make regular observations to minimize the occurrence of pest attacks. Regular observations help farmers find out early on pest populations on plants and can control them immediately. Pests on sweet potato plants are very diverse, therefore, to get the right diagnosis, farmers need to consult with experts where this is often an obstacle due to time and cost constraints. One way to facilitate the identification of these pests is to use a system that can provide conclusions based on the existing symptoms, this system is called an expert system. In this study, the authors build a web-based expert system application using the forward chaining method and certainty factor, while the software development method that the author uses is the waterfall method, and the software testing method uses the black box method. This research produces a web-based application. Based on testing, the application has been successful and runs well.

Diagnostic accuracy of an artificial intelligence online engine in migraine: A multi-center study.

Objective:This study assesses the concordance in migraine diagnosis between an online, self-administered, Computer-based, Diagnostic Engine (CDE) and semi-structured interview (SSI) by a headache specialist, both using International Classification of Headache Disorders, 3rd edition (ICHD-3) criteria.Background:Delay in accurate diagnosis is a major barrier to headache care. Accurate computer-based algorithms may help reduce the need for SSI-based encounters to arrive at correct ICHD-3 diagnosis.Methods:Between March 2018 and August 2019, adult participants were recruited from three academic headache centers and the community via advertising to our cross-sectional study. Participants completed two evaluations: phone interview conducted by headache specialists using the SSI and a web-based expert questionnaire and analytics, CDE. Participants were randomly assigned to either the SSI followed by the web-based questionnaire or the web-based questionnaire followed by the SSI. Participants completed protocols a few minutes apart. The concordance in migraine/probable migraine (M/PM) diagnosis between SSI and CDE was measured using Cohen’s kappa statistics. The diagnostic accuracy of CDE was assessed using the SSI as reference standard.Results:Of the 276 participants consented, 212 completed both SSI and CDE (study completion rate = 77%; median age = 32 years [interquartile range: 28–40], female:male ratio = 3:1). Concordance in M/PM diagnosis between SSI and CDE was: κ = 0.83 (95% confidence interval [CI]: 0.75–0.91). CDE diagnostic accuracy: sensitivity = 90.1% (118/131), 95% CI: 83.6%–94.6%; specificity = 95.8% (68/71), 95% CI: 88.1%–99.1%. Positive and negative predictive values = 97.0% (95% CI: 91.3%–99.0%) and 86.6% (95% CI: 79.3%–91.5%), respectively, using identified migraine prevalence of 60%. Assuming a general migraine population prevalence of 10%, positive and negative predictive values were 70.3% (95% CI: 43.9%–87.8%) and 98.9% (95% CI: 98.1%–99.3%), respectively.Conclusion:The SSI and CDE have excellent concordance in diagnosing M/PM. Positive CDE helps rule in M/PM, through high specificity and positive likelihood ratio. A negative CDE helps rule out M/PM through high sensitivity and low negative likelihood ratio. CDE that mimics SSI logic is a valid tool for migraine diagnosis.

Implementation Expert System for Diagnosing Tuberculosis Using Dempster-Shafer Method

Tuberculosis (pulmonary TB) is still a frightening disease for the world community, especially in Indonesia. This expert system application for the diagnosis of Tuberculosis is a computerized system to assist doctors and the public in diagnosing Tuberculosis. Efforts that can be made are to provide the best information to patients or the public about Tuberculosis disease through consultation with experts or using expert system applications. So for this reason, an application is designed that can provide expert information about Tuberculosis as a substitute for an expert or doctor. The purpose of this research is to build a web-based expert system for the diagnosis of tuberculosis. The stages carried out in this research are preliminary studies, identification of problems in which problems are found in expertise or designing an expert system, then literature study, the process of diagnosing symptoms and diseases by collecting data, if fulfilled then proceed with making a rule base and designing system. After completion, proceed to the testing and implementation phase to find out the system is feasible to use and in accordance with the design, then evaluate the results and report and finish. Based on the results of research and testing of the implementation of an expert system for diagnosing tuberculosis using the web-based Dempster-Shafer method that has been carried out by the author, several conclusions can be drawn, namely; This expert system created successfully performs data processing and provides disease results from the selected symptoms using the Dempster-Shafer method, the application is built using the PHP programming language and is supported by visualization languages ​​such as HTML, CSS, JQuery and MySQL as databases, as well as system applications. Experts who are built can make it easier for people with tuberculosis and health parties to diagnose using the Dempster-Shafer method.

PERANCANGAN SISTEM PAKAR DIAGNOSA PENYAKIT EPILEPSI (STUDI KASUS RUMAH SAKIT RADEN MATTAHER) BERBASIS WEB

The diagnosis of the disease made by an expert has its weaknesses as well as its biological weaknesses. One potential solution is an expert system. An expert system is a system that seeks to bring human knowledge into a computer so that it can solve problems as professionals are accustomed to. By trying to build an expert system for the diagnosis and treatment of epilepsy. There are 8 types of epilepsy, with a total of 92 symptoms. The inference method used is forward chaining. This method was chosen to overcome the problem of determining the type of disease by knowing the symptoms experienced. Web-based expert systems for easy system deployment. System performance is provided in consultation with answering questions posed by the system. This test gives patients what type of epilepsy they suffer from, so we can conclude that this system can be applied.

An Intelligent System for Proper Management and Disposal of Unused and Expired Medications.

For years, several countries have been concerned about how to dispose of unused pharmaceuticals that can endanger human health and the environment. Moreover, some people are in desperate need of medical attention and medications, but they lack the financial resources to obtain them. In Saudi Arabia, there are no take-back medicine programs, and there is no published research on how medications properly are disposed. The aim of this research is to use the power of artificial intelligence to assist in the proper management and disposal of expired and unused medications and to develop a prototype device for collecting medication by automatically classifying medications for proper disposal and donation. In this research, artificial intelligence technologies such as web-based expert systems, image recognition and classification algorithms, chatbots, and the internet of things are used to assist in a take-back medications program. In conclusion, the prototype design of a web-based expert system and the device reduced improper disposal risks by providing significant advice on the safe disposal of unwanted pharmaceuticals. By using an organized method of collecting expired medications, the benefits were made possible.

Penerapan Metode Certainty Factor Dalam Diagnosis Gangguan Depresi

Globalization can cause several problems and pressures of mind for both individuals and groups. Various kinds of problems can certainly lead to psychological disorders, one of which is depression. Indonesia itself is one of the countries with a high number of people with depressive disorders. Depressive disorder itself can have many consequences ranging from lack of enthusiasm to even death. Facing these serious problems, the government should be able to address the mental disorder that is currently happening. However, the reality is still far from this. Inadequate infrastructure, equality problems for each region, and shortages of experts are the main problems at this time. The expert system is considered to be a solution in solving these problems. Web-based expert systems can replace the role of experts in the process of initial diagnosis of depressive disorders, patients can also access them easily. The calculation method implemented is the Certainty Factor method. This method is considered suitable in the diagnosis of depression. The implementation of the CF method in the diagnosis of depression can provide a confidence level of up to 94.9%. The expert system is expected to be able to eliminate human errors, speed up the diagnostic process, make it easier for health workers, and provide standards for related parties in handling mental disorders

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.