CD Skripsi

Analisis Sentimen Pengguna Twitter Terhadap Pembelajaran Jarak Jauh Menggunakan Algoritma Naïve Bayes

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The Covid-19 pandemic has caused various impacts, one of which is on educational
activities. The Indonesian government decided to implement learning by the
Distance Learning method. This has become a hot topic of discussion on Twitter.
The circulated tweets contain public opinions on the implementation of Distance
Learning. This study aims to classify sentiments to see the public's view of the
Distance Learning implementation. Data used in this study is obtained by using the
keywords of “kuliah online, kuliah daring, sekolah online, and sekolah daring”
from October to November 2020. The sentiment is classified into two classes:
positive and negative. The classification process is carried out by the pre-processing
data and word weighting using the TF/IDF technique. Data classification is done
by using the Naïve Bayes Multinomial algorithm and evaluation of the algorithm is
done by using the confusion matrix method. The final result of the classification
process yields a good accuracy rate of 83%, precision of 33.33% and recall of
6.25%. The results show that netizens do not fully agree with the implementation
of Distance Learning. It is showed by negative sentiments are 97% and positive
sentiments are 3%.
Keywords: Distance Learning, Naïve Bayes, Text Mining, TF/IDF

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

03 05.122 (0007)

Penerbit

Pekanbaru : Universitas Riau - FMIPA - Sistem Informasi., 2022

Deskripsi Fisik

xiii, 58 hlm.: ill.: 29 cm

Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

03 05.122 (0007)

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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