This research informs students and teachers to anticipate early in following the learning period in order to get maximum learning outcomes. The method used is C4.5 decision tree algorithm and Naïve Bayes algorithm. The purpose of this study was to compare and evaluate the decision tree model C4.5 as the selected algorithm and Naïve Bayes to find out algorithms that have higher accuracy in predicting student achievement. Learning achievement can be measured by the value of report cards. After comparison of the two algorithms, the results of the learning achievement prediction are obtained. The results showed that the Naïve Bayes algorithm had an accuracy value of 95.67% and the AUC value of 0.999 was included in Excellent Clasification, for the C4.5 algorithm the accuracy value was 90.91% and the AUC value of 0.639 was included in the state of Poor Clasification. Thus the Naïve Bayes algorithm can better predict student achievement.
The internet network is something that is familiar to mankind in this current century, where the need for internet access is currently very high, both to find information, articles and the latest knowledge. In general, many agencies have integrated the internet network into their daily activities in the work environment. PT. BCA MULTIFINANCE (BCAMF), is an institution that is engaged in vehicle and multipurpose loan financing. In order for computer network performance to be optimized, it is necessary to have management on the network that is able to handle congested and slow connection problems. The solutions that will be used include the addition of switches and bandwidth management and firewalls using a mikrotik router. The mechanism is that the proxy router regulates bandwidth sharing and IP blocking for each user. The choice of bandwidth management and firewall methods is because these methods meet the criteria for managing access speed for each client or network.
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