CD Skripsi

Analisis Persepsi Masyarakat Terhadap Pengesahan Undang-Undang Cipta Kerja Tahun 2020 Menggunakan Metode Support Vector Machine (Svm) Dan Naïve Bayes Classifier (Nbc)

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Twitter is one of the social media that people choosen to express their opinion.
Opinion is a statement from the public based on their problem which distribute
through social media. The government has legitimate the Job Creation Law No. 11
2020 which reap thecriticismfrom society elements. The aims of this study are to find
out the public perceptionto validation of the Job Creation also, to determine the
performance of the Support VectorMachine to obtaining the optimal hyperplane
that gives distance or separator between the two classes and classifying Naïve
Bayes in determining to classify simple probabilities. Data used in this study was
collected using twitter scraper, in the form of data tweets with the keywords
#omnibuslaw and #UUCiptaKerja in the month of October2020. The result of the
evaluation that used confusion matrix showed that Support VectorMachine method
produced 82% accuracy level which is better than the Naive Bayes Classifier which
produced 80% accuracy. Society was not completely against the legalization of the
Job Creation Law, as there were a few perspective of the society that agreed
towards the clauses that was considered profitable for the society such as lay off
policy, economic growth and investation, work field creation and simplifying the
processof business licensing.

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

1703122238

Penerbit

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

Deskripsi Fisik

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Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

1703122238

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

Deti

Versi lain/terkait

Lampiran Berkas

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