Implementasi Metode Ripple Down Rules dalam Mendiagnosa Penyakit Lupus

Penyakit Systemic Lupus Erythethematosus atau Lupus eritematosus sistemik suatu penyakit yang menyerang seluruh organ tubuh mulai dari ujung kaki hingga ujung rambut, yang disebabkan oleh penurunan kekebalan tubuh manusia, dan lebih dikenal penyakit sebagai autoimun. Penyakit ini sebenarnya telah dikenal sejak jaman Yunani kuno oleh Hipokrates, namun pengobatan yang tepat belum diketahui. Penyakit ini tidak menular, tetapi didapatkan hampir seluruh penderita Systemic Lupus Erythematosus adalah perempuan (80%-89%)

Penerapan Metode Ripple Down Rules Untuk Mendiagnosa Penyakit Hamster

Hamsters are one of the many animals that are owned and are beginning to attract many people. Over time, hamsters began to be known as pets. Hamasters are also susceptible to disease. Diseases in hamsters and symptoms that cause very much, the problem now is not only need to know the cause of the disease but the important thing is to know quickly the disease suffered is also overcome so that the disease can be treated. Expert system which is one branch of artificial intelligence, capable of acting as experts in certain fields of study, researchers think animal health workers to help diagnose disease in hamsters as early as possible. The Ripple Down Rule (RDR) method is one method that has expert system inference / search capabilities and knowledge acquisition. By using RDR a system will be able to identify the disease as an expert with clinical symptoms such as input. The expert system for diagnosing disease in hamsters uses the Ripple Down Rules (RDR) method to explore the symptoms displayed in the form of questions in order to diagnose the type of hasmter's illness, to get results for treatment and to cure hasmter disease.

Penerapan Metode Ripple Down Rules Untuk Mendiagnosa Penyakit Burung

Birds or poultry are members of vertebrate animals that have feathers and wings. Diseased birds certainly look different from their normal condition and exhibit strange symptoms, if they are usually agile and active or often chirping, but when they are sick the bird looks limp, and chooses more silence. Of the symptoms that arise there are symptoms that can be seen by the eye or clinically and by looking at these symptoms can be known what diseases attack birds. To get a solution to the disease, a tool or system is needed to do it. The Ripple Down Rule (RDR) method is one method that has expert system inference / search capabilities and knowledge acquisition. By using the RDR method a system will be able to infer or identify several types of diseases suffered by birds as experts with clinical symptoms such as input. Recognized disease data adjusts rules (rules) that are made to be able to match the symptoms of bird disease stored in the system.

Expert System Development for Course Enrollment Process Using Ripple Down Rules in a University in Surabaya

The research aimed to develop expert system for helping lecturers to decide which courses to be taken by students in the next semester. The expert system contained specific pieces of knowledge to solve specific problems involved in the forms of system development and maintenance. This expert system was in the form of a website using the PHP programming language and MySQL database. The researcher used the Ripple Down Rules (RDR) method to identify the courses by putting forward the questions so that the system could decide which courses the students should take in next semester. The result shows that this web-based expert system can identify which courses that the students have to enroll after the students have answered questions generated by the system. The available data on the courses in the system adapt to the rules, so it is in line with the enrolled courses.

IDENTIFIKASI PENYAKIT PADA TERUMBU KARANG MENGGUNAKAN RIPPLE DOWN RULES

Along with the development of technology, people developed a system that capable of adopting processes and human thinking as an expert system that contains specific knowledge so that everyone can use it to solve a specific problem, namely the diagnosis of coral reef disease. The purpose of this study is to develop an expert system for diagnosing coral reef disease in the form of websites using PHP with a MySQL database. Expert system for diagnosing coral reef disease problem is using Ripple Down Rules (RDR) method has a goal to discover symptoms that appear in the form of questions that can diagnose the coral reef disease based on website. Web based expert system is able to recognize types of coral reef disease after consultation by answering a few questions that are displayed by the application of expert systems and can infer some types of coral reef disease. Data coral reef disease that already known adapt to rules which are made for matching the symptoms of coral reef disease.