Prediksi Indeks Prestasi Kumulatif Mahasiswa Ilmu Komputer IPB Menggunakan Algoritma VFI5
PREDIKSI INDEKS PRESTASI KUMULATIF MAHASISWA ILMU
KOMPUTER IPB MENGGUNAKAN ALGORITMA VFI5
ABDUL NASRAH
G64103012
DEPARTEMEN ILMU KOMPUTER
FAKULTAS MATEMATIKA DAN ILMU PENGETAHUAN ALAM
INSTITUT PERTANIAN BOGOR
2007
PREDIKSI INDEKS PRESTASI KUMULATIF MAHASISWA ILMU
KOMPUTER IPB MENGGUNAKAN ALGORITMA VFI5
Skripsi
Sebagai salah satu syarat untuk memperoleh gelar Sarjana Komputer
pada Fakultas Matematika dan Ilmu Pengetahuan Alam
Institut Pertanian Bogor
Oleh :
ABDUL NASRAH
G64103012
DEPARTEMEN ILMU KOMPUTER
FAKULTAS MATEMATIKA DAN ILMU PENGETAHUAN ALAM
INSTITUT PERTANIAN BOGOR
2007
ABSTRACT
ABDUL NASRAH. Grade Point Average Prediction of Computer Science IPB Students with VFI5
Algorithm. Counseled by AZIZ KUSTIYO and IRMAN HERMADI.
First year evaluation point cannot show end year evaluation point that generate value, namely
Grade Point Average (GPA), because GPA is a cumulative grade that take from first year
evaluation point up to end year evaluation value. In this research, we want to know GPA without
seeing GPA in every year, just look grade from the first year evaluation point and some courses
feature that we can say GPA Prediction.
In this research, we use VFI5 algorithm for GPA prediction. VFI5 algorithm have two
processes, training process and prediction process. The training process output can describe feature
character and relation between features that are courses feature and GPA relation.This research
aims to analyze and looks for TPB courses that influence to GPA of Computer Science students,
analyze with describing distributing point for each GPA classes, and predict GPA classes based on
TPB courses.
Training description is very important thing in this research. Training description can explain
distributing points of courses grade. Distributing points is important thing for everyone, students
and teachers. Students can see courses that influence to their GPA, otherwise teacher can look for
the most succesful courses for their students. On General Sociology course, this research show that
it is very difficult to get A grade. On File System and Mathematic Discret courses, with 2.00≤GPA
KOMPUTER IPB MENGGUNAKAN ALGORITMA VFI5
ABDUL NASRAH
G64103012
DEPARTEMEN ILMU KOMPUTER
FAKULTAS MATEMATIKA DAN ILMU PENGETAHUAN ALAM
INSTITUT PERTANIAN BOGOR
2007
PREDIKSI INDEKS PRESTASI KUMULATIF MAHASISWA ILMU
KOMPUTER IPB MENGGUNAKAN ALGORITMA VFI5
Skripsi
Sebagai salah satu syarat untuk memperoleh gelar Sarjana Komputer
pada Fakultas Matematika dan Ilmu Pengetahuan Alam
Institut Pertanian Bogor
Oleh :
ABDUL NASRAH
G64103012
DEPARTEMEN ILMU KOMPUTER
FAKULTAS MATEMATIKA DAN ILMU PENGETAHUAN ALAM
INSTITUT PERTANIAN BOGOR
2007
ABSTRACT
ABDUL NASRAH. Grade Point Average Prediction of Computer Science IPB Students with VFI5
Algorithm. Counseled by AZIZ KUSTIYO and IRMAN HERMADI.
First year evaluation point cannot show end year evaluation point that generate value, namely
Grade Point Average (GPA), because GPA is a cumulative grade that take from first year
evaluation point up to end year evaluation value. In this research, we want to know GPA without
seeing GPA in every year, just look grade from the first year evaluation point and some courses
feature that we can say GPA Prediction.
In this research, we use VFI5 algorithm for GPA prediction. VFI5 algorithm have two
processes, training process and prediction process. The training process output can describe feature
character and relation between features that are courses feature and GPA relation.This research
aims to analyze and looks for TPB courses that influence to GPA of Computer Science students,
analyze with describing distributing point for each GPA classes, and predict GPA classes based on
TPB courses.
Training description is very important thing in this research. Training description can explain
distributing points of courses grade. Distributing points is important thing for everyone, students
and teachers. Students can see courses that influence to their GPA, otherwise teacher can look for
the most succesful courses for their students. On General Sociology course, this research show that
it is very difficult to get A grade. On File System and Mathematic Discret courses, with 2.00≤GPA