Information technology is growing increasingly provide convenience to the wearer. One of the ease with which it is offered is to provide the best alternative solution to the decision maker, in this case, the leader. So that leaders can with better and maximum in providing a decision. Applying the method in the desired decision processing is sufficiently good, and speeds up decision processing with the help of the information technology. In this study, researchers discuss the effectiveness of decisions generated by the leadership in terms of decisions grantors Corporate Social Responsibility (CRS). The method used to be applied in decision support system is WASPAS. It is expected that the result of this decision will give maximum effect to the leader in deciding the recipient village of CSR fund
Decision support system is an information system that helps decision makers in solving unstructured problems. Implementation of method methods in problem solving will make the results provided by decision support systems more effective and accurate. In this study researchers discussed the implementation of Preference Selection Index in producing business actors who will get the People's Business Credit fund. The application of the PSI method in this case helps decision makers without having to give weight to any criteria on which consideration is given to produce a decision.
People's Business Credit (KUR) is a credit guarantee program, where this program is channeled to MSMEs who need additional loan funds for their businesses. After the program runs, the guarantor institution ensures that the program has been running productively or effectively so that the target for the distribution of the KUR program is achieved. The purpose of this study was to analyze the effectiveness of the distribution of People's Business Credit (KUR) and its effect on improving the performance of micro and small enterprises. The type of research used in this research is descriptive research. Descriptive research is research that seeks to describe a symptom, event, event that occurs. Descriptive research focuses on the actual problem as it was at the time the research took place. Through descriptive research, the company tries to describe events and events that are the center of attention without special treatment for these events. The last stage in data analysis is drawing conclusions and verification. The results of this study indicate that KUR can be said to be effective, because it has met the specified requirements
Management Information System (MIS) is a system that processes and organizes useful data and information to support the implementation of tasks in an organization/company. A company will use information systems to improve / assist employees to support their performance. SIM is very important for the company because its role is very vital or very impactful for the company itself. With the use of SIM companies can have advantages in business processes within the company. Processes in a business that previously did not use a SIM will take a long time. Using SIM will have advantages for the company because business processes can be shortened or simplified. In its use, SIM has a system that can help the performance of employees in the company. So the company does not need to take a long time in some of its business processes
Autoimmune diseases are caused by the failure of the immune system to attack the body itself. According to data from the US Department of Health and Human Services, more than 23.5 million Americans have an autoimmune disease, which is difficult to diagnose because of the variety of symptoms it presents. Therefore, the development of mechanisms to identify autoimmune disorders is essential. One of the developing technologies in this field is the use of expert systems in diagnosing diseases. An expert system is a system developed by experts using science-based technology. In order to use it effectively, proper methods are needed, such as the Bayes Theorem approach, described by Thomas Bayes, a priest. The Bayes Theorem approach explains the relationship between the probability of event A and event B based on available information. This study attempts to facilitate the diagnosis of autoimmune diseases by using an expert system and Bayes' Theorem technique. With a confidence level of 0.57 or 57%, the examination results show that the patient suffers from an autoimmune disease of the type Hemolytic Anemia (HA) based on the patient's input
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