Abstract
Until now there are no basic rules to determine the candidates that worthy to receive Sandjojo Foundation scholarship at Soegijapranata Catholic University. Therefore, the scholarship’s recipients are not well-targeted.This project can help to solve problems by using Naive Bayes algorithm as a media for decision makers with criteria such as based on GPA of the students’ registran, total parents’ income, and must be an active student in organization. By using the registrant’s previous data, Naive Bayes algorithm can study the data for each criteria that are inputted to determine whether the applicant is eligble or not to receive the scholarship from Sandjojo Foundation. This project made using web base application and has been tested four (4) times with various kinds of test data and training data, with the accuracy results are around 50% until 65% and the time is lower than three (3) seconds.
Highlights
Penentuan Penerima beasiswa oleh UPT bidang 3 Unika Soegijapranata sampai saat ini masih dilakukan secara manual, hal ini mengakibatkan proses pengambilan keputusan tidak dapat dilakukan dengan cepat, akurat, dan efsien
Naive Bayes algorithm can study the data for each criteria
that are inputted to determine whether the applicant is eligble
Summary
Project ini akan menghitung setiap file sertifikat yang masuk untuk diperhitungkan jumlah sertifikat setiap data. Perhitungan setiap attribute akan memepengarui hasil Theorema Bayes. Hasil dari setiap attribute dari setiap kelas akan dikalikan untuk mendapatkan hasil akhir yang nantinya menjadi penentu keputusan data masuk ke class apa layak atau tidak layak. Contoh perhitungan dengan kasus diberikut : Tabel 4.
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