Outstanding lecturers are lecturers who in the last three years have had very useful and proud achievements in universities of origin, and are recognized on a national or international scale. The problem in choosing an outstanding lecturer at STMIK Budi Darma was that the management did not clearly understand the terms and procedures for the requirements to participate in the selection of outstanding lecturers at the Kopertis level and even at the national level, even though there were many lecturers who wanted to follow in STMIK Budi Darma. In the absence of a system to handle, almost all lecturers cannot and do not understand what must be done in implementing the higher education tridharma that supports the selection of Lecturers with Achievement. So that the outstanding lecturer selection service was built using computer tools in the form of applications by applying the Simple Additive Weighting (SAW) method as one of the Decision Support System (DSS) methods. The output of this study is a system application for supporting lecturer selection decisions, and will produce scientific papers in the form of publication journals in non-accredited national journals, so that university leaders and lecturers can process data and obtain fast, accurate and accurate information

Education is a very important thing and will continue to grow as time goes by, in Indonesia it is rather difficult to keep up with that development. In an effort to provide quality education in a school institution, it is necessary to attract students in choosing the best department in the school. The purpose of this student's specialization in the selection of majors is very important in supporting the knowledge of higher education and the enthusiasm of these students in developing knowledge in the chosen field, such as problems that have occurred in Lolowa'u N 1 Vocational School where students choose majors in accordance with people's encouragement others without any interest in the department, resulting in a decrease in enthusiasm for learning. Therefore, the grouping of students 'data in each department is done and grouped by value, because from this value can be seen the students' enthusiasm for learning. . Data mining is one way to convert data into useful information and can produce new knowledge. The method used is clustering, this clustering method is a method of grouping data. The results obtained in this study are the results of grouping data based on values and can be determined by interested students.

Juvenile delinquency is a very actual problem in almost every country including Indonesia. Outbreaks of cases of juvenile law violations such as robbery, robbery, fighting, theft, possession of sharp weapons and misuse of narcotics as well as various other legal violations. With so many cases of violations of the law it is illustrated that in the era of complete human development, it is expected that adolescents have the rights and obligations and responsibilities to develop the nation and state but many do unlawful acts. The Multifactor Evaluation Process (MFEP) method is a quantitative method that uses "weighting" where in multi-factor decision making, the decision maker is subjectively subjective and intuitively required to weigh various factors that have a dominant competing influence on the alternatives of their choices. Decisions that affect strategic policy, it is recommended to use quantitative approaches such as MFEP, to make an appropriate weighting must be given consideration. The same stage must also be carried out on the alternative to be chosen, which is then evaluated in relation to all factors taken into consideration and determining which alternative with the highest or maximum value is the best solution based on existing criteria.