Image of Prediksi Masa Studi Sarjana Menggunakan Data Mining Pada Program Studi S1 Matematika Jurusan Matematika Fmipa Universitas Riau
Penanda Bagikan

CD Skripsi

Prediksi Masa Studi Sarjana Menggunakan Data Mining Pada Program Studi S1 Matematika Jurusan Matematika Fmipa Universitas Riau

Prediction of undergraduate study period is influential in helping the study program to monitor the development of studies from its students and prevent the existence of students that will result in the performance of the study program decreases. It can also assist the study program in producing a qualified undergraduate who will be useful during the reaccreditation process. This research aims to find out the predictions of the length of study period of students using the web-based Naive Bayes method. The prediction of the undergraduate study period consists of two stages, namely the stages in using Data Mining and the stages in the creation of the system. The stages in using Data Mining consist of data cleaning, data integration, data selection, data transformation, Naive Bayes stages, pattern evaluation and knowledge presentation. While the stages in the creation of the system consist of requirment, design, implementation and testing. Users can input variables used for predictions then the system will provide the results of student study period predictions based on calculations with the Naive Bayes method. The variables used are gender, GPA semester IV, parental work and parental income also the resulting predictions are study period on time or not. The system is designed using UML diagrams with PHP programming languages and MySQL databases. The results of system testing conducted using confusion matrix against 81 training data and 28 data testing with on time or not on time labels resulted in an accuracy rate of 78.57%.

Ketersediaan
#
Perpustakaan Universitas Riau 1603115676
1603115676
Tersedia
Informasi Detail
Judul Seri
-
No. Panggil
1603115676
Penerbit
Pekanbaru : Universitas Riau – FMIPA – Sistem Informasi.,
Deskripsi Fisik
-
Bahasa
Indonesia
ISBN/ISSN
-
Klasifikasi
1603115676
Tipe Isi
-
Tipe Media
-
Tipe Pembawa
-
Edisi
-
Subjek
SISTEM INFORMASI
Info Detail Spesifik
-
Pernyataan Tanggungjawab
Versi lain/terkait

Tidak tersedia versi lain

Lampiran Berkas
Komentar
Anda harus masuk sebelum memberikan komentar