Siti Cholifah's scientific contributions

Choosing the right major is important for students. Choosing the wrong major by students can make the learning process difficult and ineffective. Ineffective learning outcomes can lead to decreased grades. The worst case can cause students to drop out of school. In this study, the C4.5 algorithm is used to generate decision trees to determine major recommendations. The data used is data from previous year prospective students such as exam results, interests and talents used in the decision tree. The results of the decision tree are used for recommendations for selecting student majors. Students with the right majors can make the learning process more effective and can get better grades. Good grades can reduce the reasons for dropping out of school and make students more enthusiastic about learning.

The problem with reporting civil servants activities with the current system is that each activity uses points where civil servants who have many activities can easily collect points in a relatively short time. As well as the difficulty of determining civil servants who are diligent and who are not. In this study, a program was created to determine the diligent and not diligent civil servants using the web-based Fuzzy Tsukamoto method with the Laravel framework. This study uses 3 indicators, namely the number of activities, the number of minutes of activity and the percentage of attendance. Of the 3 indicators, for the first stage, the fuzzification value is sought, then from the results of the fuzzification value, inference and defuzzification can be calculated. The results obtained are the classification of civil servants, namely diligent and not diligent. From this final score, the government can determine the level of discipline of civil servants and can provide disciplinary awards or punishments.