ANALISIS DISKRIMINAN UNTUK MEMPREDIKSI KELULUSAN NILAI AKHIR MAHASISWA

Abstract

This research was conducted in Universitas Pekalongan, with the sample were students who followed Statistka Matematika II grade A academic year 2016/2017. The purpose of this study was to predict the final grades of students passing Statistika Matematika II subject. Statistika Matematika II subject was a continuation of the Statistika Matematika I subject. In other words Statistika Matematika I subject subject as prerequisites to follow the Statistika Matematika II subject. Thus, the two subjects were interrelated. The final value of the student Statistika Matematika II subject (Z) could be predicted by a number of factors, among others: the UTS Statistika Matematika I subject (X 1), the value of UAS Statistika Matematika I subject (X 2), the activiness of students in following Statistika Matematika I subject (X 3), ability early Statistika Matematika II subject (X 4), the motivation of students in the subject of Statistika Matematika II subject (X 5), the interested of student in the Statistika Matematika II subject (X 6), and the distance from the house toward college students (X 7). The final value of the student Statistika Matematika II subject was categorized into two categories ie not passed (0) and pass (1). Based on the analysis using SPSS, an influential factor for predicting whether students pass the final grades of students The final value of the student Statistika Matematika II subject was the value of UAS The final value of the student Statistika Matematika I subject and activeness of students in following the final value of the student Statistika Matematika I subject. The discriminant model was Z = −11, 742 + 0, 048X 2 + 0, 116X 3 , with group 0 consists of 3 people and one group consists of 30 people. Overall discriminant model formed were validation rate of 93, 9%.