Journal articles: 'Expert system'

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NCC Ltd. "Expert system helps experts." Knowledge-Based Systems 1, no. 4 (September 1988): 250. http://dx.doi.org/10.1016/0950-7051(88)90040-8.

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Priyanka, Nalawade, Mane Gayatri, and Jankar Priyanka Kurde Ashwini Prof Balwante Shrikrishna Shivrai. "Expert Finding System." International Journal of Trend in Scientific Research and Development Volume-2, Issue-3 (April 30, 2018): 1993–98. http://dx.doi.org/10.31142/ijtsrd11594.

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W, Yunanri, Doddy Teguh Yuwono, and Ika Safitri Windarti. "SYSTEMATIC OF EXPERT SYSTEM BASE ON SOFTWARE AND CALCULATION METHOD." Jurnal Informatika, Teknologi dan Sains 2, no. 1 (February 20, 2020): 1–6. http://dx.doi.org/10.51401/jinteks.v2i1.552.

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The expert system is a system that seeks to adopt human knowledge into technology, so that technology can solve problems as is usually done by experts. A good expert system is designed to solve a particular problem by imitating the work of the experts. With expert systems, the layman can solve quite complicated problems, because in fact the problem can only be solved with the help of experts. For experts, the expert system will also assist its activities as a highly experienced assistant. Currently there are many studies that raise cases about expert systems. This study aims to create systematic on expert systems based on a collection of expert system cases and classify them based on the tools used, implementation types and frequently used methods.

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Martin, A., and RKH Law. "Expert system for selecting expert system shells." Information and Software Technology 30, no. 10 (December 1988): 579–86. http://dx.doi.org/10.1016/0950-5849(88)90114-0.

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McClure, Janice E. "DEVELOPMENT OF AN EXPERT SYSTEM." HortScience 26, no. 6 (June 1991): 795B—795. http://dx.doi.org/10.21273/hortsci.26.6.795b.

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The development of expert systems in agriculture consists of many steps such as problem definition, selection of experts, audience considerations, knowledge representation, coding, testing, and feedback. The problem definition and selection of experts for the problem domain are the foundation of a working system. Audience definition, economics and goal setting are areas that must be documented before knowledge engineering. Knowledge representation methods and system conceptual layout are the next level of development. The use of the user feedback and field testing data to improve the system are often overlooked. Benefits of expert systems for on farm decision making include education, efficiency, and adaption to changing regulations. Many aspects of agricultural expert systems are similar to traditional expert systems; yet special problem inherent in agriculture make the development interesting and challenging.

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Martin, Gilles G., James Lienhart, R. Anand, Edward J. Dudewicz, and George C. Levy. "From Statistical-Expert-System to Expert-Statistical-System." American Journal of Mathematical and Management Sciences 9, no. 3-4 (February 1989): 273–97. http://dx.doi.org/10.1080/01966324.1989.10737267.

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Ostrowsky, Marianne F., and Ruth C. Swezey. "An expert system shell: Expert system environment/VM." ISA Transactions 28, no. 1 (January 1989): 9–14. http://dx.doi.org/10.1016/0019-0578(89)90049-9.

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Mauliani, Asri, and Andronias Siregar. "SISTEM PAKAR PENYELEKSIAN KULIT ULAR UNTUK EKSPOR MENGGUNAKAN METODE FORWARD CHAINING PADA CV. ALONA JAYA." Akrab Juara : Jurnal Ilmu-ilmu Sosial 6, no. 4 (November 6, 2021): 138. http://dx.doi.org/10.58487/akrabjuara.v6i4.2039.

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Snake skin is one type of reptile skin that has now been used as a commodity trade with a fairly high price. Snake skin that is ripe for export certainly experienced some process first, one of the process is the selection to know the skin into the category class I, II or III. CV. Alona Jaya is a company engaged in the export of reptile skin. Human resources owned CV. Alona Jaya not all experts in the field of skin selection, so still need the help of experts in handling the process. Expert system applications capable of imitating the work of an expert in various fields, one of them is snake skin selection. This expert system is built using forward chaining method, as a search technique that starts from a known fact to reach a goal. The design of this application using UML and Visual Basic programming language with Microsoft Access database as its application. This research produces an expert system application that can be used in snake skin selection for export, so it can help human resources who are not experts at the time of skin selection

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Hutapea, Mei Melan Rut Sartika, and R. Mahdalena Simanjorang. "Expert System to Diagnose Malaria With Bayes Method." Journal Of Computer Networks, Architecture and High Performance Computing 2, no. 1 (January 1, 2020): 88–92. http://dx.doi.org/10.47709/cnapc.v2i1.363.

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Malaria is a deadly disease. The disease is caused by a virus that is transmitted through the bite plasmadium Anopheles mosquito tropics. , Indonesia is an area that has a tropical climate so that malaria prevalent in Indonesia. Many public cloud lack of knowledge about the symptoms of malaria because malaria disease symptoms similar to the usual feverish illness. If the disease is not handled seriously can lead to death. From the above explanation makes the excuse needed one expert system that can help people diagnose malaria by looking at symptoms, and later this expert system can explain and diagnose whether a disease malaria or not. In the expert system there are several methods used to menagani a problem. With the solution given institute Bayes Method in helping to diagnose diseases, the expert system that can help people diagnose malaria by looking at symptoms, and later this expert system can explain and diagnose whether a disease malaria or not. Expert System is generally defined as a system that is able to region contribute to solving or handling problems. Expert System is not intended to replace the expert, but to help and support experts. Bayesian methods can diagnose simple encoding and faster calculation. expert system that can help people diagnose malaria by looking at symptoms, and later this expert system can explain and diagnose whether a disease malaria or not. Expert System is generally defined as a system that is able to region contribute to solving or handling problems. Expert System is not intended to replace the expert, but to help and support experts. Bayesian methods can diagnose simple encoding and faster calculation. expert system that can help people diagnose malaria by looking at symptoms, and later this expert system can explain and diagnose whether a disease malaria or not. Expert System is generally defined as a system that is able to region contribute to solving or handling problems. Expert System is not intended to replace the expert, but to help and support experts. Bayesian methods can diagnose simple encoding and faster calculation. Expert System is generally defined as a system that is able to region contribute to solving or handling problems. Expert System is not intended to replace the expert, but to help and support experts. Bayesian methods can diagnose simple encoding and faster calculation. Expert System is generally defined as a system that is able to region contribute to solving or handling problems. Expert System is not intended to replace the expert, but to help and support experts. Bayesian methods can diagnose simple encoding and faster calculation.

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Arisandi, Diki. "PENGUJIAN RULE PADA SISTEM PAKAR PENANGANAN CEDERA OLAHRAGA BOLA BASKET." Rabit : Jurnal Teknologi dan Sistem Informasi Univrab 1, no. 2 (July 10, 2016): 94–103. http://dx.doi.org/10.36341/rabit.v1i2.27.

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Expert system is a system created using computers that aims to imitate experts in solving problems. This expert system was built to deal with injury problems in basketball, including how to treat them. Before use, expert systems must be tested first so that no errors occur when used. Testing uses the black-box method, which means testing the system output based on input. In addition, the rules and inference in this expert system are also tested so that each stage of consultation produces a solution that is in accordance with the knowledge of the experts. After going through the testing process, it is hoped that this expert system can be used by the experts themselves and other users in overcoming the problem of injury in basketball.

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Obayashi, Akihiko, and Rafal Rzepka. "Expanding Export Control-related Data for Expert System." Procedia Computer Science 207 (2022): 3065–72. http://dx.doi.org/10.1016/j.procs.2022.09.364.

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Conn, Richard R. "Are The Courts Unintentionally Promoting Unethical Behavior In Business Valuators?" Journal of Business Valuation and Economic Loss Analysis 12, no. 1 (May 24, 2017): 145–82. http://dx.doi.org/10.1515/jbvela-2015-0001.

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AbstractThe expert business valuator’s primary responsibility is to assist the Court in the understanding of complex financial and economic issues impacting the valuation of an asset or damages claim. The Courts expect valuation opinions that are unbiased and impartial. But empowering the advocate-lawyers to select and engage those valuators misaligns the reward system. The reward the expert valuator seeks is the engagement itself – being appointed to the case. The current system of lawyer-engaged experts acts as an impediment towards absolute impartiality. Court-appointed experts may be the easiest means of eliminating role-conflict and realigning the reward system so that the expert valuator is focused upon the primary goal of serving the Court’s needs.

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Deal, Don E., Jen-Gwo Chen, James P. Ignizio, and V. Jeyakumar. "An expert system scheduler: Some reflections on expert systems development." Computers & Operations Research 17, no. 6 (January 1990): 571–80. http://dx.doi.org/10.1016/0305-0548(90)90063-d.

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Manafov, E. K. "Intelligent diagnostic system of axle equipment." Science and Transport Progress, no. 30 (December 25, 2009): 161–64. http://dx.doi.org/10.15802/stp2009/14623.

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The article is devoted to indistinct expert system for diagnostics of axle-box assemblies. The application of fuzzy systems methodology to the construction of fuzzy expert system for diagnostics of faults of axle boxes has allowed increasing adequacy of the diagnostics model of axle-boxes owing to the use of experience and intuitive knowledge of experts. The fuzzy expert system is able to simulate a course of reasoning of the expert and to explain its actions; also it removes a psychological barrier of misunderstanding in a process of interaction between the user and the system.

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Sun, Tao, and Hai Bo Liu. "Design of Fault Diagnosis Expert System of Transformer." Applied Mechanics and Materials 291-294 (February 2013): 2557–61. http://dx.doi.org/10.4028/www.scientific.net/amm.291-294.2557.

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The transformer fault diagnosis expert system design knowledge representation and reasoning mechanisms are the key issue. Characteristics of transformer fault diagnosis system based on human experts, learning on the basis of the human expert diagnosis of transformer faults, to build a transformer fault diagnosis expert system of systems architecture, knowledge representation and reasoning mechanisms for a more detailed analysis and discussion.

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Agussalim, Nani Astuti Triana, Eristya Maya Safitri, Anita Wulansari, and Seftin Fitri Ana Wati. "Accuracy of Kidney Disease Expert System Based On Certainty Factor and Dempster Shafer Algorithm." IJCONSIST JOURNALS 3, no. 2 (June 5, 2022): 19–24. http://dx.doi.org/10.33005/ijconsist.v3i2.66.

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The information technology developments today resulted in several innovations, including the existence of an Expert System. The systems help diagnose diseases without directly meeting with experts/doctors. Many researchers have proposed algorithms to improve the accuracy of the expert system to approach the diagnosis by experts/doctors, including certainty factor and dempster shader. This study compares the algorithm's accuracy with the results of expert diagnosis of kidney disease. The expert system was developed using UML and a web-based version. From the comparison results, the dempster shaver algorithm has an accuracy rate of 80%, while the certainty factor is 60% compared to expert diagnoses.

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Vinsonhaler, John, David Stewart, Leighton Price, and Brenda Hall. "Using an Expert System to Study the Classroom Placement Decision for Students Who are Deaf or Hard-of-Hearing." Journal of Special Education Technology 12, no. 2 (September 1993): 135–48. http://dx.doi.org/10.1177/016264349301200206.

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This study applies expert systems technology to the problem of deciding whether to place deaf & hard-of-hearing children in mainstream or self-contained classrooms. This application includes: (a) developing a theoretical model of how experts make placement decisions, (b) creating a computer-based expert system to capture this model and to aid teachers and other members of the individualized educational plan committee (IEPC) in the making these decisions, and (c) conducting an empirical study comparing the placement decisions of the human experts with those of the expert system. The study provides a review of the theoretical model, describes the expert system in some detail and briefly summarizes those aspects of the study related to evaluation of the expert system. In the study, ten teachers made placement decisions for ten representative student-cases. A simulation experiment was run by presenting the same ten cases to the expert system. The decisions of the expert system were found to agree with those of a majority of teachers in 90% of the cases. This and other results indicate the value of expert systems in deaf education.

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Wu, Su Yan, and Wen Bo Li. "Research on Knowledge Service Oriented Expert Management System." Applied Mechanics and Materials 519-520 (February 2014): 1568–71. http://dx.doi.org/10.4028/www.scientific.net/amm.519-520.1568.

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The distinctive characteristics of knowledge service oriented expert management system needs to have instant, on-demand service, accurate service, comprehensive services, and personalized service. In order to meet the requirements of the establishment of this system, this paper studied the construction of expert resources and expert retrieval services , and The crowdsourcing technology-based open expert body build, experts of different heterogeneous data sources access to information based expert body interaction semantics expert retrieval method

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Andrianof, Harkamsyah. "Design Of Expert System To Diagnose Sexually Infected Diseases In Human Using The Backward Chaining Method (Perancangan Sistem Pakar Untuk Mendiagnosa Penyakit Menular Seksual Pada Manusia Dengan Penerapan Metode Backward Chaining)." Jurnal KomtekInfo 6, no. 2 (November 19, 2019): 135–43. http://dx.doi.org/10.35134/komtekinfo.v6i2.52.

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Expert systems (expert systems) in general is trying to adopt a system of human knowledge into a computer, so the computer can resolve the problem as was done by the experts. Or in other words, the expert system is a system designed and implemented with the help of a specific programming language to be able to resolve the problem as done by experts. In this case I tried to implement an expert system to diagnose sexually transmitted disease from the symptoms and the causes of Sexually Transmitted Disease. The purpose of this paper is to build a knowledge-based system on Sexually Transmitted Disease using backward chaining method that will be displayed in the form of a website using PHP programming and MySQL database.

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Göhler, A. "EXPERT SYSTEM CUCUMBER." Acta Horticulturae, no. 248 (September 1989): 453–58. http://dx.doi.org/10.17660/actahortic.1989.248.57.

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G, Praveen Kumar. "Maize Expert System." Computer Science & Engineering: An International Journal 2, no. 3 (June 30, 2012): 43–55. http://dx.doi.org/10.5121/cseij.2012.2304.

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KOBAYASHI, Yasuyuki, Toshimi ABE, and Kazunari ADACHI. "Statistical Expert System." Japanese journal of applied statistics 28, no. 2 (1999): 91–106. http://dx.doi.org/10.5023/jappstat.28.91.

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TinukeO, Oladele, and Sanni Yetunde. "Dental Expert System." International Journal of Applied Information Systems 8, no. 2 (January 5, 2015): 1–15. http://dx.doi.org/10.5120/ijais14-451270.

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Schwartz, Rhea. "Rural “expert” system." Rural Special Education Quarterly 8, no. 4 (December 1987): 37–42. http://dx.doi.org/10.1177/875687058700800408.

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A university course offered to rural teachers of the gifted was the medium through which a parent/teacher organization was formed. The Respond/Read/Replicate/Report System was used to develop course objectives, methods, and evaluative means reflective of the individual needs of the teachers, their gifted students, and their parents in rural Madison, Florida. The unique characteristics of the delivery system and the unusual collaborative efforts of university and community officials are described.

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Wiyandra, Yogi, Firna Yenila, Suci Wahyuni, and Febrihadi. "Expert System Insemination." Journal of Physics: Conference Series 1339 (December 2019): 012056. http://dx.doi.org/10.1088/1742-6596/1339/1/012056.

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Ionita, C., and F. Carena. "ALICE Expert System." Journal of Physics: Conference Series 523 (June 6, 2014): 012005. http://dx.doi.org/10.1088/1742-6596/523/1/012005.

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Sipior, Janice C. "Expert System Stalemate." Information Resources Management Journal 13, no. 4 (October 2000): 16–24. http://dx.doi.org/10.4018/irmj.2000100102.

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Kentala, Erna, Yrjö Auramo, Ilmari Pyykkö, and Martti Juhola. "Otoneurological Expert System." Annals of Otology, Rhinology & Laryngology 105, no. 8 (August 1996): 654–58. http://dx.doi.org/10.1177/000348949610500812.

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An otoneurological expert system was developed to help collect data and diagnose both central and peripheral diseases causing vertigo. Patient history and otoneurological and other examination results are used in the reasoning process. The case history data can be either mandatory or supportive. Mandatory questions are used to confirm a diagnosis, and conflicting answers are used to reject an unlikely disease. Supportive questions support or suppress a diagnosis, but their presence is not obligatory. The reasoning procedure of the otoneurological expert system scores every question independently for different diagnoses, depending on how well they agree with the symptom entity of a disease. Diagnostic criteria are set for each disease. Graphic displays illustrate the linear and nonlinear correlation between the symptoms and diseases. Emphasis is placed on diminishing the possibility of a wrong decision rather than maximizing the likelihood of reaching only one right decision, so that even rare diseases can be taken into consideration.

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Amin, Samiul, and Steve Carrington. "Expert system rheometry." Materials Today 12, no. 9 (September 2009): 44–46. http://dx.doi.org/10.1016/s1369-7021(09)70251-2.

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Press, L. "Expert system benchmarks." IEEE Expert 4, no. 1 (1989): 37–44. http://dx.doi.org/10.1109/64.21898.

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O'Leary, D. E. "Expert system security." IEEE Expert 5, no. 3 (June 1990): 59–63. http://dx.doi.org/10.1109/64.54674.

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Soong, N., and A. Patel. "Wirability expert system." Computer-Aided Design 18, no. 9 (November 1986): 497–501. http://dx.doi.org/10.1016/0010-4485(86)90007-2.

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White, Richard D. "Expert system applications." Artificial Intelligence in Medicine 1, no. 3 (January 1989): 146. http://dx.doi.org/10.1016/0933-3657(89)90007-9.

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White, Milton. "Expert system standardization." Expert Systems with Applications 2, no. 4 (January 1991): 237–38. http://dx.doi.org/10.1016/0957-4174(91)90030-i.

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Davis, J. Steve, and Carlos A. Usera. "Expert System Configures Intrusion Detection Systems." Interfaces 19, no. 2 (April 1989): 61–69. http://dx.doi.org/10.1287/inte.19.2.61.

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Levary, Reuven R., and Laurence A. Madeo. "Expert system-user integrated adaptive systems." Expert Systems with Applications 3, no. 4 (January 1991): 489–98. http://dx.doi.org/10.1016/0957-4174(91)90174-d.

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Pernando, Yonky. "Parestesia Expert System! Expert System To Detect Paresthesia (Parestesia Expert System! Sistem Pakar Untuk Mendeteksi Penyakit Parestesia)." Jurnal KomtekInfo 7, no. 3 (September 1, 2020): 186–96. http://dx.doi.org/10.35134/komtekinfo.v7i3.79.

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Paresthesia is a condition where the sensation on the skin is abnormal, such as tingling, itching or numbness, for no apparent reason. This condition can occur only temporarily or for a long time (chronic). Bucharestesia can be temporary (temporary) or chronic. Almost everyone has experienced temporary paresthesia. This sensation occurs when nerves are accidentally compressed in certain body positions, such as sitting cross-legged for too long or sleeping with your head on your hands. Temporary paraesthesia will go away on its own when the pressure on the nerves is relieved. However, if the tingling feeling persists even though the pressure has been relieved, then there may be another disease or disorder in the body that is the cause. Chronic paresthesia is often a symptom of a neurological disease or caused by trauma to the nerve tissue. A variety of diseases can cause chronic paresthesia including vitamin deficiency, neurological disorders due to repetitive movements or other diseases. Chronic paraesthesia requires medication and management to heal. However, sometimes chronic paresthesia cannot completely heal even after undergoing treatment even though an expert system is a computer-based system that uses knowledge, facts, and reasoning techniques to solve problems that usually only one person can solve. Expert systems also help their activities as highly experienced assistants. Expert systems can also provide analysis of problems and can also recommend to users some actions to make improvements.

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Mohamed, Rajina R. "Expert System for Diagnosing Lovebird Bird Disease." International Journal of Psychosocial Rehabilitation 23, no. 4 (December 20, 2019): 1525–34. http://dx.doi.org/10.37200/ijpr/v23i4/pr190477.

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Aeni, Khurotul. "Penerapan Metode Forward Chaining Pada Sistem Pakar Untuk Diagnosa Hama Dan Penyakit Padi." INTENSIF 2, no. 1 (February 16, 2018): 79. http://dx.doi.org/10.29407/intensif.v2i1.11841.

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So that the computer can act as and as good as a human being, then the computer should be given the lack of knowledge that has the ability to catch. One of them is an expert system, is a system that attempted to adopt human knowledge to a computer that is designed to model the ability to resolve problems such as befits an expert. With this expert system, people who have yet to figure it out at all to resolve the problem or just simply looking for an actual information can only be obtained with the help of experts in their field. Knowledge society in Indonesia about pests and diseases of rice plant is still low, including handling is known only to the extent of the knowledge of fellow farmers, pest and disease if there is a new kind of farmers are not aware of it, on the other hand there are some the expert or experts who know about the pests and diseases of rice plant, but the number of experts or experts with a large number of farmers are not balanced. Therefore, due to the application of the method of forward chaining inference on expert system to diagnose plant pests and diseases of rice can be the information and knowledge that will help the community or individuals to know the types of pests and what diseases that attack the rice plant, without having to wait and expect a straight answer from the experts

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KELEŞ, Aytürk. "Expert Doctor Verdis: Integrated medical expert system." TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES 22 (2014): 1032–43. http://dx.doi.org/10.3906/elk-1210-64.

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Jog, Bharati, and Maria Zemankova. "Energy expert: An expert system for architects." Computers, Environment and Urban Systems 13, no. 1 (January 1989): 29–38. http://dx.doi.org/10.1016/0198-9715(89)90005-7.

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Chakrabarty, B. K. "Expert System: A Tool for Expert Decision." Transactions of the Indian Ceramic Society 61, no. 3 (January 2002): 118–21. http://dx.doi.org/10.1080/0371750x.2002.10800044.

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Lee, Jae K., and June S. Hong. "A regenerative expert system approach for the maintenance of expert systems." Expert Systems with Applications 14, no. 3 (April 1998): 313–21. http://dx.doi.org/10.1016/s0957-4174(97)00084-5.

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Kershner, J. D., and R. D. Lorenz. "Construction Techniques for Factory Floor Expert Systems." Journal of Engineering for Industry 110, no. 4 (November 1, 1988): 395–97. http://dx.doi.org/10.1115/1.3187899.

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This paper addresses the specific problems encountered when building an expert system for use in a manufacturing process. These problems include: general unfamiliarity of the experts with expert systems, the diffused nature of the expertise, the low availability of the experts, and the users fear of being replaced or constrained by the computer system. The paper addresses these problems by presenting specific strategies developed in the construction of an expert system for use in controlling a plating process for electronic components.

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Ruiz-Mezcua, B., A. Garcia-Crespo, J. L. Lopez-Cuadrado, and I. Gonzalez-Carrasco. "An expert system development tool for non AI experts." Expert Systems with Applications 38, no. 1 (January 2011): 597–609. http://dx.doi.org/10.1016/j.eswa.2010.07.009.

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Hikmawan, Ahmad Sarif, Eko Prasetyo, and Rifki Fahrial Zainal. "Design of Mental Disorder Consultation System with Decision Tree Method." JEECS (Journal of Electrical Engineering and Computer Sciences) 4, no. 1 (June 28, 2019): 547–58. http://dx.doi.org/10.54732/jeecs.v4i1.126.

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level or category of disorders suffered by patients, so patients can be dealt with quickly according to the level of the disorder they suffer. Diagnosing the level of mental disorders using the expert system will record the symptoms of the patient and will diagnose the level of the disorder based on the knowledge obtained from an expert, the mental disorder expert system uses the Decision Tree method. in general is a system that seeks to adopt human knowledge to computers, so that computers can solve problems as they are usually done by experts or before consulting a psychologist without reducing the expert role of the psychologist or in other words expert systems are systems that are designed and implemented with help certain programming languages to be able to solve problems as experts do quickly and efficiently. It is hoped that with this system, lay people can be more sensitive in recognizing the level of psychiatry in person. As for the experts of this system can be used as an assistant or supporting the performance of psychologist officers. Based on the results of the system tests that have been done, the accuracy of 97.5% results and system error 2.5% and the percentage of each diagnosis, 32% psychosis, 27% Neurosis, 17% Learning Soldered, 12% Juvenile Delinquency and Growth Flower 10%.

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Marfalino, Hari, Mutiana Pratiwi, and Randi. "Children Disease Diagnosis System Using Forward Chaining Method (Sistem Pakar Diagnosa Penyakit Ayam Dengan Menggunakan Metode Forward Chaining)." Jurnal KomtekInfo 6, no. 2 (November 19, 2019): 179–87. http://dx.doi.org/10.35134/komtekinfo.v6i2.57.

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Expert systems are widely used in various types of fields, one of which is in the field of animal husbandry. The number of chicken farms that appear is not comparable with information and knowledge about raising chickens, so dependence on experts is the only solution in handling chicken disease problems. Expert systems can be a solution to problems that arise in terms of handling chicken disease. Expert systems that are built using the forward chaining method can work like an expert who can deduce the problem from the symptoms given. With the existence of an expert system, dependence on experts is no longer a solution in dealing with the problem of chicken disease, because ordinary people can also provide action like an expert.

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Widayanto, Aprih, Joko Dwi Mulyanto, and Ade Sulistyono. "Rancang Bangun Sistem Pakar Diagnosa Penyakit Ayam Bangkok." Indonesian Journal on Software Engineering (IJSE) 5, no. 1 (June 28, 2019): 52–61. http://dx.doi.org/10.31294/ijse.v5i1.5864.

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Abstract: Expert System is a knowledge-based program that offers quality solutions for problems within a certain domain. The implementation of expert systems is widely used for commercial purposes, because expert systems are seen as a way to store expert knowledge in certain areas in computer programs, so that they can make informed decisions and think intelligently. Using Android-based methods, this program is expected to represent experts in diagnosing Kip-Bangkok disease. Expert Systems Applications diagnosis chicken bangkok provide maximum convenience for the owner of the chickens Bangkok, so owners do not have chicken bangkok meet with specialists in person, the owner of the chicken bangkok open the computer and use this expert system application instead of the disease in poultry media consultation of experts in chickens bangkok. The expert system is used as a decision support and is used as a tool for someone who has no information about the types of diseases and symptoms in bangkok chicken, as well as preventative advice. From this problem this disease can be known on the basis of the symptoms found in chicken in Bangkok and to prevent deaths by giving appropriate prevention advice. Keywords: Expert system, Application, Diagnosis of the Chicken Disease of Bangkok

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Felföldi, János. "Work Organisation Supported by an Expert System in Agriculture." Acta Agraria Debreceniensis, no. 1 (December 4, 2001): 57–60. http://dx.doi.org/10.34101/actaagrar/1/3612.

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Expert systems are softwares that incorporate the experience of an expert and support decision makers by leading them through the thinking processes of an expert in the form of „if…then” rules. To use an expert system we have to work with knowledge expressed in a pre-determined form. To do so, we used a shell that can be purchased, and we acquired knowledge about the topic from experts through interviews and personal monitoring. Attributes that are non-measurable, such as many of the factors determining work-place organisation and revealing knowledge related to it, can be formed into words by using expert systems. The goal of the study was to present a suggested form of expert system model to help judge the level of work-place organisation.

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Parry, James D., and Alan M. Hofmeister. "Development and Validation of an Expert System for Special Educators." Learning Disability Quarterly 9, no. 2 (May 1986): 124–32. http://dx.doi.org/10.2307/1510361.

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The authors describe the development and initial validation of a computer-based expert system, Mandate Consultant (Parry, 1985), designed to review the regulatory procedures for developing Individual Education Programs (IEP). The formative process involved three phases: (a) definition of need and proposed solution, (b) design of a prototype, and (c) progressive refinement through field-testing and revision cycles. The summative component included a two-phase experimental design for validating the accuracy of expert system output through comparisons with human experts. The findings indicated that the expert system-generated conclusions matched the conclusions of the “better” human experts, and were considered more appropriate than the conclusions of the majority of experts. Furthermore, “blinded” evaluators judged the expert system-generated conclusions as being equally acceptable as those produced by the “better” human experts, and more acceptable than those of the majority of experts.

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Journal articles on the topic 'Expert system'

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