Nowadays computers have been widely used by many people, both parents, children, and adolescents. Basically, they only follow technological progress. And it eventually led to progress in the field of science. On the other hand, the background of the need for the seriousness of parents in knowing the pattern of their children's learning style is the amount of potential free time that is not well utilized by children in the learning process. Plus the number of parents who do not support children in developing their own mindset. Or the learning atmosphere that is still not conducive. In line with the advancement of technology and science, parents should be able to easily find out the right pattern of children's learning styles, to make it easier for their children to develop their mindset and imagination in the world of learning. And one of them can be by using an expert system. The expert system for identifying patterns of children's learning styles is an expert system designed as a tool for parents to identify patterns of children's learning styles with a dynamic knowledge base. This knowledge is obtained from various sources, including research carried out by experts in their fields and books related to learning styles. The knowledge base is arranged in such a way into logic with several provisions including the vark method (visual, auditory, read, kinesthetic), in order to facilitate system performance in making conclusions. Drawing conclusions in this expert system use the certainty factor method. This expert system will display several questions as indicators of the characteristics of the child's learning style that are felt, then later arrive at the final question. In the final result, the expert system will display the types of characteristics of the child's learning style.

Mango contains about 20 vitamins and minerals such as iron, copper, potassium, phosphorus, zinc, and calcium. The freshness of the ripe mango will taste sweet. The level of ripeness of the mango fruit can be seen from the texture of the skin and skin color. Ripe mangoes have a bright, fragrant color and a smooth skin texture. The problem found in mango segmentation is that the image of the mango fruit is influenced by several factors, such as noise and environmental objects. In measuring the maturity of mangoes traditionally, it can be seen from image analysis based on skin color. The mango peel segmentation process is needed so that the classification or pattern recognition process can be carried out better. The segmented mango image will read the feature extraction value of an object that has been separated from the background. The procedure on the image that has been analyzed will analyze the pattern recognition process. In this process, the segmented image is divided into several parts according to the desired object acquisition. Clustering is a technique for segmenting images by grouping data according to class and partitioning the data into mango datasets. This study uses the Fuzzy C Means method to produce optimal results in determining the clustering-based image segmentation. The final result of Fuzzy C-based mango segmentation processing means that the available feature extraction value or equal to the maximum number of iterations (MaxIter) is 31 iterations, error (x) = 0.00000001, and the image computation testing time is 2444.913636

A person who is in the elderly phase will experience various decreases, ranging from decreased memory or senility, hormone production, skin elasticity, muscle mass, bone density, strength and function of body organs, and the immune system. As a result, it is difficult for the elderly or the elderly to fight against various kinds of disease-causing bacteria or viruses, comorbidities, and adaptation to the social environment. Due to the complexity of this health problem, improvements can not only be made in the aspect of health services but also improvements in the environment and engineering of population factors or hereditary factors, but it is necessary to pay attention to behavioral factors that have a considerable contribution to the emergence of health problems. This research uses the certainty factor (CF) method which can provide a measure of belief in a symptom as a measure of how much the value is in the later diagnosis. The purpose of making this expert system is so that patients, patient families, and medical teams can monitor the health of the elderly daily. The results of this study indicate that using the CF method has an accuracy rate of 91 percent for the prediction of patients who have cholesterol

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Many animal keepers at home who do not know the disease contained in the animal's body. Especially for dogs, the lack of information begins to provide care, hygiene, vaccinations for the health of pet dogs and sickles that will be caused by dogs to their owners. Expert systems can provide solutions to the lack of information obtained by pet dog owners, especially dogs. With this expert system, the owner can know the dog's disease and realize the right prevention in treatment. In this paper 25, physical symptoms of the disease are used and found 8 types of common dog diseases. Five options are given to answer the calculation question using each method: no, quite sure, sure enough, certain, and certainty sure. Accuracy Analysis of each method is tested by assessing the results of each analysis method based on user feedback. The results of this study are the application of an expert system that can diagnose dogs using herbal medicines from plants. The purpose of this study is to implement the certainty factor method in the diagnosis system of canine diseases that can provide space in providing value confidence in knowledge. The conclusion in this study will show some questions as indicators of the characteristics of canine disease, until the final question. The conclusion of the study using the certainty factor method will show the characteristics of the disease in dogs. By being obtained from Rabies (0.9) with easy to get angry refuse nomal food; Hepatitis (0,9) with swelling of the liver occurs; Distemser (0,8) with stomach part blister and festering discharge from the eye; canine parvorius (0,8) with loss of appetite and poop there is blood, herpesvirus (0,8) with  often roared and complaints,  papilomatosis (0,9) with Smelly dog breath, and leptospirosis (0,7) with complaints, and dirofilaria immitis (0,9) with Unstable body temperature