Decision Support Systems to Determining Programme for Students Using DBSCAN And Naive Bayes: Case Study: Engineering Faculty Of Universitas Nusantara PGRI Kediri

Daniati, Erna (2019) Decision Support Systems to Determining Programme for Students Using DBSCAN And Naive Bayes: Case Study: Engineering Faculty Of Universitas Nusantara PGRI Kediri. In: 2019 International Conference of Artificial Intelligence and Information Technology (ICAIIT), 13-15 Maret 2019, Yogyakarta, Indonesia.

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Abstract

Determination of programme interest has not been supported by adequate information. This causes students who have chosen programme to be less concentrated in college. This is because the chosen programme turns out to be not as expected to determine the programme. There is a system that is used to help make decisions. The system is a decision support system. The decision support system has several methods. The method is used to obtain modeling. There is a DBSCAN method that is used for grouping or clustering. This clustering is needed in order to decision maker is not input manually about preferences. Clustering contributes to add preferences automatically. So, decision maker can only focus on selecting alternatives decision. Furthermore, this alternative decision can be found using Naive Bayes Method. In addition, the Naive Bayes also has a fairly high accuracy. This is indicated by the results of testing in this research. The accuracy of Naïve Bayes has a high value compared to other classifiers.

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