CD Skripsi

Sistem Prediksi Pemilihan Program Studi Menggunakan Algoritma Naïve Bayes Classifier Di Fakultas Teknik Universitas Riau

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Every year high school students (SMA) or the equivalent who have graduated will
continue their education to university. Choosing a Study Program when entering
the University level is a decision-making process that requires a lot of
consideration for prospective new students. Because the chosen S1 study program
is very diverse, students who are still confused will experience difficulties in
determining the choice of an S1 study program at the Faculty of Engineering, Riau
University. To help make this decision, it can be done by building a prediction
system using the Naïve Bayes Classifier Algorithm which utilizes the calculation of
future probability values based on previous experience. Student data which is the
input variable for this system is the type of school, gender, average report card
scores of Mathematics, Physics, Chemistry, Biology, Indonesian, and English from
Semester 1 to 5. In this study, observations, interviews, and literature study to
collect the data needed in the prediction process based on the previously selected
student data. After testing using test data against this Prediction System, the results
obtained an accuracy rate of 81.82%, with an error of 18.18% from 154 test data.
So from the results of the system testing, it is concluded that the Study Program
Selection Prediction System Using the Naïve Bayes Classifier Algorithm can make
it easier to provide references for prospective new students to determine the choice
of an S1 study program at the Faculty of Engineering, Riau University which will
be taken later on a Web-based.
Keyword : Study Program Prediction System, Naïve Bayes Classifier Algorithm,
Probability.

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

07 04. 121 (0069)

Penerbit

Pekanbaru : Universitas Riau – Fakultas Teknik – Teknik Informatika., 2021

Deskripsi Fisik

xii, 29 hlm.; ill.: 29 cm

Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

07 04. 121 (0069)

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

TEKNIK ELEKTRO

Info Detail Spesifik

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Pernyataan Tanggungjawab

Daus

Versi lain/terkait

Lampiran Berkas

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