PREDIKSI KELULUSAN MAHASISWA BERDASARKAN JALUR MASUK MENGGUNAKAN METODE NAIVE BAYES

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dc.contributor.authorMandasari, Alistin
dc.date.accessioned2019-04-30T02:52:51Z
dc.date.available2019-04-30T02:52:51Z
dc.date.issued2019-04-30
dc.description.abstractThe assessment acreditation of college are conducted by the National Accreditation Agency for Higher Education (Badan Akreditasi Nasional Perguruan Tinggi BAN-PT). The graduation rates become a core element of accreditation process and it is necessary to be predicted. The aim of this paper is to present a web-based intelligent system for predicting student's graduation to help in enhancing the quality of education system. The stages in this study include the process of data mining using the Naive Bayes method and system design using flowcharts, context diagrams, hierarchy chart, data flow diagrams, and entity relational diagrams. The sample data used in this research is alumni data from Diploma III Informatics Management students in Riau University. The result of this research was the web-based system that can be predict graduation of students based on the entrance selection types using Naive Bayes methoden_US
dc.description.sponsorshipJURUSAN ILMU KOMPUTER FAKULTAS MATEMATIKA DAN ILMU PENGETAHUAN ALAM UNIVERSITAS RIAUen_US
dc.identifier.otherwahyu sari yeni
dc.identifier.urihttps://repository.unri.ac.id/handle/123456789/9673
dc.language.isoenen_US
dc.publisherwahyu sari yenien_US
dc.subjectPrediction of Graduationen_US
dc.subjectData Miningen_US
dc.subjectNaive Bayesen_US
dc.titlePREDIKSI KELULUSAN MAHASISWA BERDASARKAN JALUR MASUK MENGGUNAKAN METODE NAIVE BAYESen_US
dc.typeArticleen_US

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