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description Journal article public Jurnal Buana Informatika

Pembangunan Aplikasi Klasifikasi Mahasiswa Baru Untuk Prediksi Hasil Studi Menggunakan Naïve Bayes Classifier

Mega Kartika Sari, Ernawati Ernawati, Irya Wisnubhadra
Diterbitkan April 2016

Abstrak

. Every university hopes to create the best potential graduates. Some of the efforts can be achieved by utilizing university data to be processed into information. The resulting information can help the university to determine the decisions to take in improving the students’ academic performance. One of the methods to process the data is by using Naive Bayes Classifier. This method requires some information such as GPA, average credits and attendance percentage. The prediction results are taken based on the data of the students at the university. Because there are large number of data to process it will require an information system that can classify data using Naïve Bayes Classifier. This application is built by using C# programming language with an average of 81,67% accuracy results (the accuracy depends on the data used). This application is expected to help the university to increase the achievements of its graduates.

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  • visibility 342 kali dilihat
  • get_app 94 downloads