The need for an analysis of the predictions of continuation of student studies to college is a strong reason for this research. Because by knowing the number of students at a school who continue or not continue studies to universities become a reference to improve education services at the school concerned. Naive Bayes is an effective and efficient classification algorithm for data mining and machine learning. So in the research proposed Naive Bayes for predictions of continuation of student studies to college with k-fold validation and confusion matrix. And results from the algorithm Naive Bayes is 86.53%.

This study aims to evaluate the performance of k-NN algorithm in recommending career paths for students based on their interests, past courses, and career goals. The k-NN algorithm was applied to a dataset of student information and its performance was evaluated using quantitative or qualitative measures such as accuracy or user satisfaction. The results indicated that the algorithm provided accurate recommendations and that the choice of k and the use of Euclidean distance measure were crucial for the performance of the algorithm. However, the study also highlighted the limitations of the research, such as the size and diversity of the dataset used, which could have affected the generalizability of the results. This study emphasizes the potential of data-driven approaches in career guidance in education and the k-NN algorithm as a valuable tool in this field. Future research could include incorporating additional factors such as student demographics or academic performance into the algorithm and using more diverse and larger datasets

The competition is an event for the success of a school in showing the success of a school educating their students, one type of competition is the paskibraka competition between schools, the problem that often occurs in the process of selecting prospective participants for the paskibrakan competition is to designate students who are considered to meet the expected competencies, this will have an adverse impact on the consideration of interest, endurance and knowledge of the paskibra so that it is maximal in achieving the expected goals in a competition, subjective selection is considered inappropriate today, it is necessary to make decisions using technological assistance in order to minimize errors in selection process, in this study a decision-making system was used to obtain more structured results in the form of logical calculations, the use of decision support systems has been widely applied o by leaders in making decisions, the logic of decision making is in the form of calculations using the application of decision making methods, one method of application is the Simple Additive Weighting method in finding the value of the data to be selected, and to improve research results so that they are more accurate a combination of weighting methods for consideration such as the method AHP, a combination of methods or AHP-SAW hybrid get the results of 1.0 as the highest value

This research is motivated by the declining interest of students in learning English because teaching the old or traditional way more or less hinders the ability of many students to understand certain languages. The purpose of this research is to design an English learning media in the form of educational games to attract students' interest in learning English further. This research uses the waterfall development method which is combined using the Decision Tree algorithm. In its application the Waterfall method has five stages, namely, Requirements Analysis, System Design, Program Code Writing, Testing, and Maintenance, while the application of the Decision Tree algorithm lies in the first game to choose what path or scan will each player get. The results of this study showed that 90.85% of people who took part in the survey through respondent questionnaires were interested in learning more English.