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Sentiment Analysist of the TPKS Law on Twitter Using InSet Lexicon with Multinomial Naïve Bayes and Support Vector Machine Based on Soft Voting

Recursive Journal of Informatics · Vol. 1 No. 2 (2023) · hlm. 93–101

DOI
10.15294/zbxqcc36
ISSN
2986-6588, 2963-5551
Terbit
2023-09-29
Penerbit
Universitas Negeri Semarang
Bahasa
eng

Abstrak

Abstract. The Indonesian Sexual Violence Law (TPKS Law) is a law that regulates forms of sexual violence. The TPKS Law reaped pros and cons in the drafting process and was officially ratified on April 12th, 2022. However, after being ratified, pros and cons can still be found and supervision is needed over the implementation of the law. Purpose: This study was conducted to identify the application and accuracy of soft voting on multinomial naïve Bayes and support vector machine algorithm, also to find out public opinion on the TPKS Law as a support tool in evaluating the law. Methods/Study design/approach: The method used is InSet lexicon for labeling with the soft voting classification method on the multinomial naive Bayes and support vector machine algorithm. Result/Findings: The accuracy obtained by applying 10 k-fold cross validation in soft voting is 84.31%, which uses a weight of 1:3 for multinomial naive Bayes and support vector machines. Soft voting obtains better accuracy than its standalone predictor, and also works well for sentiment analysis of the TPKS Law. Novelty/Originality/Value: This study using two combined lexicons (Colloquial Indonesian lexicon and the InaNLP formalization dictionary) in normalization process and using InSet lexicon as automatic labeling for sentiment analysis on TPKS Law.

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  • State University of Semarang
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Rekan penulisOrganisasiArtikel bersama
Angga Riski Dwi SaputraState University of Semarang2
Grace Yudha SatriawanState University of Semarang2
Erwin PrasetyoState University of Semarang1
Nafa FajriatiState University of Semarang1
Much Aziz MuslimState University of Semarang1
Jumanto JumantoState University of Semarang1
Rofik RofikState University of Semarang1
Endang SugihartiState University of Semarang1
Alamsyah AlamsyahState University of Semarang1
Riza ArifudinState University of Semarang1
Athifa Dihyan CalystaState University of Semarang1
Regina Ayumi UlayyaaState University of Semarang1
Barokah IsdaryantiState University of Semarang1
Isti HidayahState University of Semarang1
Lyna LatifahState University of Semarang1
FafuridaState University of Semarang1
Sabrina Desy RahmawatiState University of Semarang1
Edward JhonatanState University of Semarang1
Fariska Ratna FauziahState University of Semarang1
Desi Adrianti AwaliyahState University of Semarang1
Rini MuzayanahState University of Semarang1
Apri Dwi LestariState University of Semarang1

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Sumber metadata: OAI-PMH (metadata jurnal) https://journal.unnes.ac.id/journals/rji/oai, pertama di-harvest 6 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en">Sentiment Analysist of the TPKS Law on Twitter Using InSet Lexicon with Multinomial Naïve Bayes and Support Vector Machine Based on Soft Voting</dc:title>
	<dc:creator xml:lang="en">Aisy, Salsabila Rahadatul</dc:creator>
	<dc:creator xml:lang="en">Prasetiyo, Budi</dc:creator>
	<dc:subject xml:lang="en">sentiment analysis</dc:subject>
	<dc:subject xml:lang="en">TPKS Law</dc:subject>
	<dc:subject xml:lang="en">multinomial naive Bayes</dc:subject>
	<dc:subject xml:lang="en">support vector machine</dc:subject>
	<dc:subject xml:lang="en">soft voting</dc:subject>
	<dc:subject xml:lang="en">InSet lexicon</dc:subject>
	<dc:description xml:lang="en">Abstract.&amp;nbsp;The Indonesian Sexual Violence Law (TPKS Law) is a law that regulates forms of sexual violence. The TPKS Law reaped pros and cons in the drafting process and was officially ratified on April 12th, 2022. However, after being ratified, pros and cons can still be found and supervision is needed over the implementation of the law.
Purpose:&amp;nbsp;This study was conducted to identify the application and accuracy of soft voting on multinomial naïve Bayes and support vector machine algorithm, also to find out public opinion on the TPKS Law as a support tool in evaluating the law.
Methods/Study design/approach:&amp;nbsp;The method used is InSet lexicon for labeling with the soft voting classification method on the multinomial naive Bayes and support vector machine algorithm.
Result/Findings:&amp;nbsp;The accuracy obtained by applying 10 k-fold cross validation in soft voting is 84.31%, which uses a weight of 1:3 for multinomial naive Bayes and support vector machines. Soft voting obtains better accuracy than its standalone predictor, and also works well for sentiment analysis of the TPKS Law.
Novelty/Originality/Value:&amp;nbsp;This study using two combined lexicons (Colloquial Indonesian lexicon and the InaNLP formalization dictionary) in normalization process and using InSet lexicon as automatic labeling for sentiment analysis on TPKS Law.</dc:description>
	<dc:publisher xml:lang="en">Universitas Negeri Semarang</dc:publisher>
	<dc:date>2023-09-29</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unnes.ac.id/journals/rji/article/view/35228</dc:identifier>
	<dc:identifier>10.15294/zbxqcc36</dc:identifier>
	<dc:source xml:lang="en">Recursive Journal of Informatics; Vol. 1 No. 2 (2023): September 2023; 93-101</dc:source>
	<dc:source>2986-6588</dc:source>
	<dc:source>2963-5551</dc:source>
	<dc:source>10.15294/8v9k4e37</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/journals/rji/article/view/35228/6448</dc:relation>
</oai_dc:dc>