PENERAPAN ALGORITMA NAIVE BAYES UNTUK MENGKLASIFIKASI TOPIK SKRIPSI BERDASARKAN MATA KULIAH PILIHAN PADA PROGRAM STUDI INFORMATIKA

Liansa, Samuel Ferdy (2020) PENERAPAN ALGORITMA NAIVE BAYES UNTUK MENGKLASIFIKASI TOPIK SKRIPSI BERDASARKAN MATA KULIAH PILIHAN PADA PROGRAM STUDI INFORMATIKA. Undergraduate thesis, Universitas Katolik Musi Charitas.

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Abstract

In the world of education today, a student will get a bachelor's degree if the student has completed the requirements set by the tertiary institution. The problem that is often faced by students who are in the informatics study program at Musi Charitas Catholic University is the difficulty in choosing the final assignment topic. This is supported by the interview data with the Head of Study Program (Head of Study Program) Informatics. This research will use research data (elective courses) from Informatics study program students from 2011 to 2015 by applying the Naïve Bayes algorithm. The results of this study in the form of topic recommendations that can be used by students as a reference to take the topic.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Naïve Bayes, Final Project Topic, Elective courses.
Subjects: Q Science > QA Mathematics
Q Science > QA Mathematics > QA76 Computer software
Divisions: Theses - S1 > Informatics Study Program
Depositing User: Users 1089 not found.
Date Deposited: 11 Sep 2020 09:16
Last Modified: 11 Sep 2020 09:16
URI: http://eprints.ukmc.ac.id/id/eprint/4485

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