In the education process, almost all skills, knowledge, habits, and attitudes are developed through the learning process. Achieving good learning outcomes involves several components, such as interests, talents, good psychological factors, abilities, motivation, attitudes, maturity, discipline, and others. This study aims to determine the influence of learning interest and discipline on learning motivation. The population was university students, and the sample of the study was all students who took the basic course of curriculum development in 2019-2020, totaling 38 students. Data analysis was performed to describe the condition of each research variable learning interest, discipline, and learning motivation. Data were then analyzed by ANOVA with SPSS Program Version 16. In this study, we found that interest in learning and discipline significantly influenced learning motivation. This relation can be seen in the value of the ANOVA analysis was statistically significant (p 0.05). Interest in learning influences learning motivation, and this also applies to disciplines that have a strong influence on student motivation. Thus, student learning motivation can be increased by high effort and attention in increasing and developing student interest and discipline. The interest in learning and discipline has a positive influence on learning motivation. Learning motivation is not only influenced by interest and discipline but in this study, it is only limited to interest and discipline, which affect students' learning motivation. Other researchers can do related research talents, good psychological factors, abilities, or attitudes.

The fuzzy logic Mamdani model is a fuzzy reasoning system that can be used to calculate values based on various criteria for evaluating teacher performance. In this study, three fuzzy sets were used to determine the level of success of teachers in teaching through online media in one of the vocational schools in North Sumatra: the teacher set, the value set, and the success rate set. The teacher set is divided into three criteria: bad, sufficient, and good teachers. The set of values is also divided into three categories: bad, sufficient, and good. Furthermore, the set of success rates is divided into three categories: low, medium, and high success rates. The goal of this study is to use the mamdani fuzzy logic method to assess the level of success in teaching teachers using online media. According to the study's findings, the mamdani method could be used in this situation.

The study aimed to analyze the effect on institutional performance of lecturer satisfaction with data extraction techniques. The solution is the technique of Naive Bayes, where data is obtained through interviews and questionnaires conducted in one of the private institutions in the north-sumatra of Medan. The evaluation criteria are readiness, compassion, reliability and accountability. The tests indicate that the level of accuracy is 85.48% with 81.08% precision, and 93.75% recall value. The Naïve Bayes method can also be recommended to predict the degree of satisfaction of the lecturer with institutional performance based on the results of tests using fast miner software.