The existence of a library can be a historical chain for the past, a root for living in the present and a guide for stepping into the future. The library of SMK Muhammadiyah 1 Samarinda is a source of student knowledge that can improve the quality of student knowledge. Most of the school libraries in Samarinda, book searches are still not computerized, manual searches or searches cause operational activities to be ineffective and run slowly, from the problems at the school a system is needed that can solve problems so that it can facilitate library visitors and support learning during. Therefore, to overcome this problem, a virtual search system was created by implementing the Boyer-Moore algorithm. The Boyer–Moore algorithm is considered the most efficient algorithm in implementing a virtual book catalog search in the library. The system development tool uses flowchat, and the development method uses waterfall with the stages of development being analysis, design, coding, testing and maintenance. Data collection techniques consist of secondary data obtained by studying literature studies in the form of writings or documents, primary data comes from the location of the study directly, besides that data collection through observation is also carried out, namely direct observation of how the system works, system problems, system input data, existing processes and system outputs
Cooperative activities have become the activities most needed by many people because they are related to money, cooperatives are places that provide loans to housewives and also workers in a certain area or environment, the lack of interest offered by this cooperative is considered very easy. and very helpful for many parties in facilitating financial affairs, especially in financial matters, because the convenience offered by the cooperative makes many interested people ask for the same thing resulting in vulnerability to fraud, the importance of making predictions on prospective new business loan applications can help reduce the worst risks from various risks that occur in the future, in this study the k-nearest neighbor algorithm will be used as a prediction algorithm for prospective business credit applications at cooperatives, the value obtained is the value of training data or data records of several previous customers so as to easier to know new data as test data in a study. The results found in this study for prospective business credit applications are "Not Eligible" seen to the closest value based on the smallest value with (closest distance) between one another as many as 3 distances, namely numbers 1, 2 and 3 where number 1 states "Not feasible ”, at the second closest distance stating “Eligible” and number 3 stating “Not Eligible”, the most results stated Not Eligible so that the decision value on new customers had to be rejected “Not eligible” to be accepted
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