CD Skripsi

Analisis Penentuan Dosen Pembimbing Tugas Akhir Mahasiswa Menggunakan Naive Bayes Classifier

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Determination of the Mentor lecturer for students/I is very influential in completing
the final task/thesis. Lecturers who are competent and in accordance with the field
of student's final assignmentnare able to direct and to thesuccess of the student's final
assignment. In this thesis , text mining is used to classify the appropriate guidance
lecturers for students in completing the final assignment. Classification is applied
to the title of the student's final assignment based on experience, expertise and field
of mentor lecturers. The algorithm used is naive Bayes classifier (NBC) algorithm.
Before the data classification is first processed at the text preprocessing stage,
which consist of case Folding, stopcharacter removal, Stopword, stemming and
weighted. Evaluation to measure the accuracy of this system using confussion
matrix which resulted in 78% accuracy in Mentor lecturers and generate acuration
of 95% in field of expertise.
Keywords: mentor lecturer, text mining, Naive Bayes Classifier (NBC), text
preprocessing, final assignment/thesis.

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

03 05.120 (0029)

Penerbit

Pekanbaru : Universitas Riau - FMIPA - Sistem Informasi., 2020

Deskripsi Fisik

xiii, 69 hlm.: ill.: 29 cm

Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

03 05.120 (0029)

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

SISTEM INFORMASI

Info Detail Spesifik

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Pernyataan Tanggungjawab

ELFITRA

Versi lain/terkait

Lampiran Berkas

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