Single tuition is the extension of the single tuition, which can be interpreted as a payment system made at the time of admission in both State and private colleges in Indonesia. Where this single tuition can provide benefits for the equitable of each student and help the students who are less able in terms of the economy that is certainly derived from the underprivileged family. In the calculation process determines the single tuition money each student needs a long process and time. So, there is an idea to implement a Decision Support System Dynamic (DSSD) so that at the time of determination of single tuition can be evenly and by the actual situation. One method that can be used on DSSD is the Weighted Product (WP) method. By implementing the method of WP combined with the concept of DSSD, then generated values of confusion matrix (recall, precision, f-measure, and accuracy) obtained by looking for the value of comparison between test data with pattern data. Obtained confusion matrix value with system testing and get the results Precision 88.89%, Recall 82.76%, Accuracy 77.14%, F-Measure 85.71%.
Tujuan dari pembuatan paper ini adalah untuk melakukan audit pengelolaan sekolah dengan menggunakan metode process mining dan memanfaatkan aplikasi RapidProM. Data yang digunakan dalam audit pengelolaan sekolah ini merupakan data primer yang diperoleh dari observasi dan dokumentasi di SMAN 1 Tanjung Jabung Timur, kemudian diproses dengan menerapkan metode process mining. Dengan adanya penelitian ini diharapkan dapat melakukan pengelolaan organisasi yang ada di sekolah, sehingga pengelolaan organisasi di sekolah akan lebih efektif. Dengan adanya audit pengelolaan sekolah, pengelolaan sekolah akan memenuhi kualitas dan standar yang sesuai dengan Standar Nasional Pendidikan. Hasil penelitian audit pengelolaan sekolah dengan metode process mining yang menggunakan empat algoritma diantaranya Algoritma Alpha miner, Algoritma Fuzzy miner, Algoritma Heuristic miner, dan Algoritma Process tree dinilai memiliki kesesuaian yang tepat terhadap data yang ada. Dari hasil penelitian audit pengelolaan sekolah ini dapat disimpulkan persentase yang didapatkan dari masing masing algoritma, yaitu pada algoritma Alpha miner hasil persentase fitness 0,95 (95%) dan precision 0,9 (90%), pada algoritma Heuristic miner hasil persentase fitness 0,972 (97,2%) dan precision 0,83 (83%), pada algoritma Process tree hasil persentase fitness 0,98 (98%) dan precision 1 (100%), pada algoritma Fuzzy miner hasil persentase fitness 0,99 (99%) dan precision 0,915 (91,5%).
In this modern era, the technology is growing rapidly, the Internet is misled. This condition will be related to the service provider or commonly referred to as a server. Increasing the number of clients, the server also has to work heavier so that it often occurs overload. The Load Balancing mechanism uses the Least Time First Byte and Multi Agent system methods. This mechanism allows the server to overcome the number of users who perform service requests so that the load from the server can be resolved. This solution is considered efficient and effective because the request process on the information system will be shared evenly on multiple server back ends. The results of the research that can be proved if using this mechanism the server can work well when the request is from a user or client dating, this method successfully distributes the balancer evenly through the server backend. So the server is no longer experiencing overload. This can be proved when a system that has used the load balancing method with 300 connections generates a throughput of 123.1 KB/s as well as response time value of 4.72 MS and a system that does not use the load balancing method has a throughput of 108.4 KB/s as well as a response time value of 120.3 Ms. Therefore by implementing load balancing the performance of the system can always be improved.
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