PENERAPAN ALGORITMA APRIORI UNTUK MENGETAHUI JURUSAN PALING DIMINATI CALON MAHASISWA STT SINAR HUSNI

Abstract

Higher Colleges of Technology Sinar Husni (STT. Sinar Husni) needs information to know the interests of children in the selection of majors students, aims to help STT. Sinar Husni classifying data peminatan students against the majors in STT. Sinar Husni and benefits to Sinar Husni College of Technology (STT. Sinar Husni) may have the preparation in a variety of ways, such as brochures, study room readiness, willingness class schedules, the provision of lecturers, and so forth. But to get such information, Sinar Husni College of Technology (STT. Sinar Husni) must classify data annually to determine the specialization of prospective students to a subject. It is therefore necessary to have a system that can help categorize data peminatan students to certain majors. In the grouping processing and data specialization majors prospective students, the need for a method that can resolve the issue. To the authors recommend a priori method to solve the problem of grouping the data specialization majors in STT. Sinar Husni.