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Penggunaan Seleksi Fitur Query Expansion Ranking dan Genetic Algorithm-Support Vector Machine untuk Analisis Sentimen pada Aplikasi Perbankan Jenius

ESTIMASI: Journal of Statistics and Its Application · Vol. 7 No. 1 (2026) · pp. 147–158

DOI
10.20956/ejsa.v7i1.47395
ISSN
2721-379X, 2721-3803
Published
2026-05-05
Publisher
Hasanuddin University
Language
en

Abstract

Jenius is a digital banking product from BTPN launched in 2016. In 2021, various opinions emerged on Twitter regarding cases of lost customer funds, necessitating sentiment analysis to understand public perception. This study used the Support Vector Machine (SVM) method with two feature selection approaches: Query Expansion Ranking (QER) and Genetic Algorithm (GA). The data used were 2,008 manually labeled tweets. The results showed that the QER-SVM method produced an accuracy of 87.81%, while the GA-SVM achieved an accuracy of 88.31% with improvements in precision and F-measure. Thus, the combination of Genetic Algorithm and SVM was more effective in classifying sentiment towards the Jenius application on Twitter.

Keywords

Collaboration network of the authors

40 authors · 133 co-authorship links · 5 across different organisations · showing the 40 most connected

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Hasanuddin University
  • Cenderawasih University
  • Sebelas Maret University
  • Universitas Sulawesi Barat
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Anisa KalondengHasanuddin University6
Raupong RaupongHasanuddin University4
Sri Astuti ThamrinHasanuddin University3
Andi Kresna JayaHasanuddin University3
Andi Isna YunitaHasanuddin University3
Nurtiti SunusiHasanuddin University3
Andi M. Alfin BasoHasanuddin University2
Muhammad FadilAffiliation unknown2
Yundy HafizriandaCenderawasih University1
Alfiana AntohCenderawasih University1
Andi Sitti Fahmi Riyanti HufainiHasanuddin University1
Grace Oktavia YusufAffiliation unknown1
Nurul IkhsaniAffiliation unknown1
Anna IslamiyatiHasanuddin University1
Hajratul Ashwad KAffiliation unknown1
Asnidar AsnidarHasanuddin University1
Afifah Mutiah NurdinHasanuddin University1
Muh. Indirwan ArfanHasanuddin University1
Wa Ode Sitti Amni AmniAffiliation unknown1
Kevin Ekarinaldo PalunganAffiliation unknown1
Sitti SahrimanAffiliation unknown1
A. Muthiah Nur AngrianyHasanuddin University1
Rini JamalAffiliation unknown1
Andi FebriyantiAffiliation unknown1
Rahmiati RahimAffiliation unknown1
Ayu Pratika PutriAffiliation unknown1
Annurial Fitrayah TaufiqAffiliation unknown1
Ahmad Maulana SyarifAffiliation unknown1
Nurmimie KharinaAffiliation unknown1
SiswantoAffiliation unknown1
Samsir Aditya AniaAffiliation unknown1
Endang SulastriSebelas Maret University1
Ririn SetiyowatiSebelas Maret University1
Nur Hilal A. SyahrirUniversitas Sulawesi Barat1
Nurul RezkiAffiliation unknown1
Sri Indriani AmilHasanuddin University1
Taufiq AkbarHasanuddin University1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journal.unhas.ac.id/index.php/ESTIMASI/oai, first harvested 2 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en">Penggunaan Seleksi Fitur Query Expansion Ranking dan Genetic Algorithm-Support Vector Machine untuk Analisis Sentimen pada Aplikasi Perbankan Jenius</dc:title>
	<dc:creator xml:lang="en">Haksar, Haksar</dc:creator>
	<dc:creator xml:lang="en">Siswanto, Siswanto</dc:creator>
	<dc:creator xml:lang="en">Ilyas, Nirwan</dc:creator>
	<dc:subject xml:lang="en">Genetic Algorithm</dc:subject>
	<dc:subject xml:lang="en">Jenius</dc:subject>
	<dc:subject xml:lang="en">Query Expansion Ranking</dc:subject>
	<dc:subject xml:lang="en">SVM</dc:subject>
	<dc:subject xml:lang="en">GA-SVM</dc:subject>
	<dc:subject xml:lang="en">QER-SVM</dc:subject>
	<dc:description xml:lang="en">Jenius is a digital banking product from BTPN launched in 2016. In 2021, various opinions emerged on Twitter regarding cases of lost customer funds, necessitating sentiment analysis to understand public perception. This study used the Support Vector Machine (SVM) method with two feature selection approaches: Query Expansion Ranking (QER) and Genetic Algorithm (GA). The data used were 2,008 manually labeled tweets. The results showed that the QER-SVM method produced an accuracy of 87.81%, while the GA-SVM achieved an accuracy of 88.31% with improvements in precision and F-measure. Thus, the combination of Genetic Algorithm and SVM was more effective in classifying sentiment towards the Jenius application on Twitter.</dc:description>
	<dc:publisher xml:lang="en">Hasanuddin University</dc:publisher>
	<dc:date>2026-05-05</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unhas.ac.id/index.php/ESTIMASI/article/view/47395</dc:identifier>
	<dc:identifier>10.20956/ejsa.v7i1.47395</dc:identifier>
	<dc:source xml:lang="en">ESTIMASI: Journal of Statistics and Its Application; Vol. 7, No. 1, Januari, 2026 : Estimasi; 147-158</dc:source>
	<dc:source>2721-379X</dc:source>
	<dc:source>2721-3803</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://journal.unhas.ac.id/index.php/ESTIMASI/article/view/47395/14392</dc:relation>
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