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Open access Jurnal SINTA 2

Analisis Opini Terhadap Fitur Smartphone Pada Ulasan Website Berbahasa Indonesia

IJCCS (Indonesian Journal of Computing and Cybernetics Systems) · Vol. 10 No. 2 (2016) · pp. 183–194

DOI
10.22146/ijccs.17485
ISSN
2460-7258, 1978-1520
Published
2016-07-31
Publisher
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
Language
eng
License
creativecommons.org/licenses/by-sa/4.0

Abstract

Through online stores, consumers can give an opinion of a product, one of the best-selling products is smartphone. Their opinions become valuable and can be worthwhile to know the advantages or disadvantages of products based on the user’s experience. Therefore, in order to utilize the data of customers' opinions, it is necessary to create a system that automatically performs mining and summarizing opinions on smartphone product. The system consist of five parts: data collection, preprocessing review, feature mining, analysis of opinions and then visualize the results. Data collection is taking data reviews website using web scraping, preprocessing review is for cleaning data reviews. Feature mining stage will find features in the reviews with apriori algorithm to produce frequent item set, then analyze the opinion using lexicon based, language rule and score function. The result will be shown in graphical form. From the testing of feature mining obtained average recall score at 0.63 and precision at 0.72. It depends on good or bad quality of reviews. The results of testing accuracy opinion analysis shows high value with accuracy 81.76 %. The technique showed good results with opinion data which is labeled, using language rule and the implementation of score function.

Keywords

Collaboration network of the authors

40 authors · 57 co-authorship links · 15 across different organisations

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

  • Universitas Gadjah Mada
  • Indonesia University of Education
  • Universitas Stikubank
  • University of Indonesia
  • Universitas Airlangga
  • Instituto Profissional de Canossa - IPDC
  • Universitas Halu Oleo
  • Other organisations
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Retantyo WardoyoUniversitas Gadjah Mada5
Khabib MustofaUniversitas Gadjah Mada4
Edhy SutantaUniversitas Gadjah Mada4
Agus HarjokoUniversitas Gadjah Mada3
Sandi Fajar RodiyansyahIndonesia University of Education2
Edy WinarnoUniversitas Stikubank2
Aniati Murni ArymurthyUniversity of Indonesia2
Mardi Siswo UtomoUniversitas Gadjah Mada1
Badrus ZamanUniversitas Airlangga1
Agustinus JacobusUniversitas Gadjah Mada1
Sulistyowati SulistyowatiAffiliation unknown1
Noviah Dwi PutrantiUniversitas Gadjah Mada1
Ambarwati AmbarwatiInstituto Profissional de Canossa - IPDC1
Agus Sasmito AriwibowoAffiliation unknown1
Eka KaryawatiUniversitas Gadjah Mada1
Robynson AmsekeAffiliation unknown1
Natalis RansiUniversitas Halu Oleo1
Sumarni AdiUniversitas Gadjah Mada1
Lutfi Budi IlmawanState University of Malang1
Wayan Gede Suka ParwitaUniversitas Gadjah Mada1
Fadhila Tangguh AdmojoUniversitas Gadjah Mada1
Siti KhomsahInstitut Teknologi Telkom Purwokerto1
Fajar RatnawatiPoliteknik Negeri Bengkalis1
Ira ZulfaUniversitas Gadjah Mada1
Rakhmad IkhsanudinUniversitas Gadjah Mada1
Junanda PatihullahUniversitas Gadjah Mada1
Wafda RifaiUniversitas Gadjah Mada1
Sigit PriyantaUniversitas Gadjah Mada1
Sholikin Ady ChandraUniversitas Gadjah Mada1
Putri Rizki AmaliaUniversitas Gadjah Mada1
Angel Berta Desi SuryantiUniversitas Gadjah Mada1
Fahmi Reza PrasastioUniversitas Gadjah Mada1
Azhari AzhariUniversitas Gadjah Mada1
Anak Agung Istri Ngurah Eka KaryawatiUdayana University1
Moh Edi WibowoUniversitas Gadjah Mada1
E. Elsa Herdiana MurhandarwatiUniversitas Gadjah Mada1
Arif RahmanUniversitas Gadjah Mada1
Khabis MustofaAffiliation unknown1

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.ugm.ac.id/ijccs/oai, first harvested 26 Okt 2026, last seen 26 Okt 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="id-ID">Analisis Opini Terhadap Fitur Smartphone Pada Ulasan Website Berbahasa Indonesia</dc:title>
	<dc:creator>Setyawan, Doni</dc:creator>
	<dc:creator>Winarko, Edi</dc:creator>
	<dc:subject xml:lang="id-ID"></dc:subject>
	<dc:subject xml:lang="id-ID">smartphone, review, frequent itemset, linguistic rule, opinion analysis</dc:subject>
	<dc:description xml:lang="id-ID"> Through online stores, consumers can give an opinion of a product, one of the best-selling products is smartphone. Their opinions become valuable and can be worthwhile to know the advantages or disadvantages of products based on the user’s experience. Therefore, in order to utilize the data of customers' opinions, it is necessary to create a system that automatically performs mining and summarizing opinions on smartphone product. The system consist of five parts: data collection, preprocessing review, feature mining, analysis of opinions and then visualize the results. Data collection is taking data reviews website using web scraping, preprocessing review is for cleaning data reviews. Feature mining stage  will find features in the reviews with apriori algorithm to produce frequent item set, then analyze the opinion using lexicon based, language rule and score function. The result will be shown in graphical form. From the testing of  feature mining obtained average recall score at 0.63 and precision at 0.72. It depends on good or bad quality of reviews. The results of testing accuracy opinion analysis shows high value with accuracy 81.76 %. The technique showed good results with opinion data which is labeled, using language rule and the implementation of score function.</dc:description>
	<dc:publisher xml:lang="en-US">IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.</dc:publisher>
	<dc:contributor xml:lang="id-ID"></dc:contributor>
	<dc:date>2016-07-31</dc:date>
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	<dc:identifier>10.22146/ijccs.17485</dc:identifier>
	<dc:source xml:lang="en-US">IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 10, No 2 (2016): July; 183-194</dc:source>
	<dc:source>2460-7258</dc:source>
	<dc:source>1978-1520</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.ugm.ac.id/ijccs/article/view/17485/11690</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2016 IJCCS - Indonesian Journal of Computing and Cybernetics Systems</dc:rights>
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