The development of computer-based systems, increasingly helping the banking world, in doing work efficiency in a bank. Especially in selecting credit recipients at the bank. This is needed so that the resulting decision can be valued objectively and effectively for management. In processing credit receipt decisions, using an information system known as the Decision Support System (SPK). The selection of credit recipients requires alternatives and criteria so that the information retrieval process can run well. By applying the Additive Ratio Assessment (ARAS) method, decision-makers can produce better calculations. ARAS is a method for decision-based support.
Hospital is one of the public institutions that is oriented to community services, where the information system is one of the important factors to support the health services provided. To be able to provide effective and efficient services. In supporting the health services provided by the Bhakti Hospital, it continues to strive to improve the quality of services provided. One of them is determining a doctor to be able to provide the best service to anticipate so that there will be no mistake in determining acceptance of a doctor, it is necessary to have a decision support system namely by using the ORESTE and ROC methods. And by translation this background, the authors are interested in conducting research on making decisions in the assessment of the doctor who wants to be accepted, where each criterion and alternative has a weight, which at the end of the process can produce a ranking
Data mining is a term used to describe the discovery of knowledge in databases. Data mining is a process that uses statistical, mathematical, artificial intelligence, and machine learning techniques to extract and identify useful information and related knowledge from large databases. With data mining, a gem in the form of knowledge will be obtained in a large number of data sets. The Apriori (RF) method is a method that can improve accuracy results, because generating child nodes for each node is done randomly. This method is used to build a decision tree consisting of root nodes, internal nodes, and leaf nodes by taking attributes and data randomly according to the applicable provisions. The root node is the node located at the top, or commonly referred to as the root of the decision tree. The solution for determining chemical stock inventories at the Medan Branch Forensic Laboratory, by applying the Apriori method to determine the correlation coefficient level of frequently used products so that more frequently needed products can be provided to avoid chemical vacancies at the Medan Branch Forensic Laboratory
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