Adolescence are a period of development that is vulnerable to problems and often makes teens unable to control emotions. No exception for adolescents who are studying high school. Problems that do not need to be resolved immediately and bigger problems will arise later on. Many methods of solving students' problems are carried out in a conventional manner which takes time and costly. Therefore, teacher guidance and career guidance at school use the problem checklist method to identify student problems. One thing that promises to improve accuracy with time to identify problems by building information systems using intelligent technology such as machine learning. Machine learning offers sophisticated techniques built by automatic classification that can be utilized by students and teachers to improve accuracy and efficiency in identification. This article discusses issues related to problems faced by senior high school students and proposes a knowledge-based users (rules) machine learning to match the problems and alternative solutions. This system can be used by school counsellors to help students solving their problems and the students to access themselves without having to meet the school counsellor. The results of this research indicate that information system developed based on rule-based machine learning offer a student problem identification which is more accurate, faster, can be done anytime and anywhere, and requires less cost compared to existing conventional methods. Analysis of machine learning with rule-based models using WEKA gives 100% accuracy.

Adolescence is a period of development that is prone to problems and often makes adolescents unable to control emotions. No exception to adolescents who are in high school education. Problems that do not need to be resolved immediately and will arise even greater problems later on. Many methods of solving students' problems are carried out in conventional ways that require relatively takes time and costly. Therefore teacher career guidance and policy in schools use the problem list method provided for students. One thing that promises to improve accuracy with a short time to identify students' problems by creating information systems using intelligent technology such as machine learning. Machine learning offers sophisticated techniques in creating automated schemes that can be used by students and guidance counseling teachers in technical issues is on the rise. This article discusses issues related to learners but also offers knowledge-based users (rules) that can be used by counseling guidance teachers to replace those who are behind information systems. The results of this study indicate that the information system developed which is based on rule-based machine learning offers a classification that is more accurate, faster, can be done anytime, anywhere and requires no cost compared to existing conventional methods.