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Top Brand Award Ranking Analysis Using Social Network Analysis on Coffee Shops on Twitter Social Media

Unnes Journal of Mathematics · Vol. 14 No. 1 (2025) · pp. 1–9

DOI
10.15294/ujm.v14i1.4408
ISSN
2460-5859, 2252-6943
Published
2025-06-14
Publisher
Universitas Negeri Semarang
Language
eng

Abstract

The coffee shop business is one of the very busy businesses. A number of coffee shop brands in Indonesia have begun to emerge. One of the fastest growing fast food coffee chains in Indonesia is Kopi Kenangan. Top Brand is conducting a poll in 2023 to determine the preferred level of consumption for local coffee. According to the findings of the Top Brand Award 2023 survey, Kenangan coffee with a value of 39.70% occupies the first position in the online and offline food and beverage category, while Janji Jiwa coffee is in second place with a value of 39.50%. Janji Jiwa Coffee is one of the fast-growing franchise companies in Indonesia. This study uses the Social Network Analysis (SNA) method to find out which coffee shop brands have higher activity by comparing network properties on Twitter social media. The source of this research data was obtained from the results of crawling data on Twitter social media with the keywords "Kopi Kenangan" and "Kopi Janji Jiwa" for 2 months from November 1, 2023 – December 30, 2023 using Python, with the results of Kenangan copies of 1605 tweets, and Janji Jiwa copies of 1653 tweets. Then text preprocessing is done using Python. Furthermore, visualization was carried out for both coffee shop brands using Python consisting of top word, wordcloud top word, top actor poster, and top mentioned account. After that, making a network pattern graph model using the Gephi application with the Yifan Hu Proportional layout. Followed by an analysis of the network property values of the two brands to be compared. The comparison of the value obtained between the two coffee shop brands, namely the Janji Jiwa coffee shop, excels in 3 network property values such as size, avg. degree, and modularity. While the Kenangan coffee shop is only superior to 1 network property value, namely avg. path length. Other network property values, namely network density and diameter of Kenangan coffee shop and Janji Jiwa coffee shop have the same value. The results of the ranking analysis get different results from brand ranking using the Top Brand Award, namely Janji Jiwa coffee shop ranked 1st and Kenangan coffee shop ranked 2nd. While in the Top Brand Award, Kenangan coffee shop ranked 1st and Janji Jiwa coffee shop ranked 2nd.

Keywords

Collaboration network of the authors

40 authors · 123 co-authorship links · 4 across different organisations · showing the 40 most connected

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  • State University of Semarang
  • Universitas Airlangga
  • Universitas Nahdlatul Ulama Blitar
  • Universitas Halu Oleo
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Kartono KartonoUniversitas Airlangga5
Nuriana Rachmani DewiAffiliation unknown2
Emi PujiastutiState University of Semarang2
Endang Retno WinartiAffiliation unknown2
Mohammad AsikinAffiliation unknown2
Mita KonitaAffiliation unknown2
SITI NUR ALISYAHAffiliation unknown2
Iffah Sartika BuwonoAffiliation unknown2
Sugianto SugiantoUniversitas Nahdlatul Ulama Blitar1
Dwi YuliantiState University of Semarang1
Siti Harnina BintariAffiliation unknown1
Riza ArifudinState University of Semarang1
Rozak Ilham AdityaAffiliation unknown1
Adi Nur CahyonoAffiliation unknown1
Bagus Surya MaulanaAffiliation unknown1
Muhammad Andi NugrohoAffiliation unknown1
Isnaini RosyidaAffiliation unknown1
Lana Aristya AnggrainiAffiliation unknown1
Stevanus Budi WaluyaAffiliation unknown1
Haya RohmatunnisaAffiliation unknown1
Muhammad Fajar SafaatullahAffiliation unknown1
Masrukan MasrukanState University of Semarang1
Muchammad ImronAffiliation unknown1
Ishmah Khairina ZakiriAffiliation unknown1
Monika Dwi HaryantiAffiliation unknown1
Lailatus SyarifahAffiliation unknown1
Milna WafirahAffiliation unknown1
Hardi SuyitnoAffiliation unknown1
Azwida Rosana MaulidaAffiliation unknown1
Kartono KatonoAffiliation unknown1
Scolastika MarianiState University of Semarang1
Imam FahruddinAffiliation unknown1
Budi WaluyaAffiliation unknown1
Supriyono SupriyonoAffiliation unknown1
Nur HasanahUniversitas Halu Oleo1
Iqbal KharisudinAffiliation unknown1
Wardono WardonoAffiliation unknown1
Hendi Widi PriyonggoAffiliation 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.unnes.ac.id/journals/ujm/oai, first harvested 6 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en">Top Brand Award Ranking Analysis Using Social Network Analysis on Coffee Shops on Twitter Social Media</dc:title>
	<dc:creator xml:lang="en">herdiany, alvioneta dinda</dc:creator>
	<dc:creator xml:lang="en">Asih, Tri Sri Noor</dc:creator>
	<dc:subject xml:lang="en">Top Brand Award Ranking Analysis</dc:subject>
	<dc:subject xml:lang="en">graph</dc:subject>
	<dc:subject xml:lang="en">Social Network Analysis</dc:subject>
	<dc:subject xml:lang="en"> Twitter</dc:subject>
	<dc:description xml:lang="en">The coffee shop business is one of the very busy businesses. A number of coffee shop brands in Indonesia have begun to emerge. One of the fastest growing fast food coffee chains in Indonesia is Kopi Kenangan. Top Brand is conducting a poll in 2023 to determine the preferred level of consumption for local coffee. According to the findings of the Top Brand Award 2023 survey, Kenangan coffee with a value of 39.70% occupies the first position in the online and offline food and beverage category, while Janji Jiwa coffee is in second place with a value of 39.50%. Janji Jiwa Coffee is one of the fast-growing franchise companies in Indonesia. This study uses the Social Network Analysis (SNA) method to find out which coffee shop brands have higher activity by comparing network properties on Twitter social media. The source of this research data was obtained from the results of crawling data on Twitter social media with the keywords "Kopi Kenangan" and "Kopi Janji Jiwa" for 2 months from November 1, 2023 – December 30, 2023 using Python, with the results of Kenangan copies of 1605 tweets, and Janji Jiwa copies of 1653 tweets. Then text preprocessing is done using Python. Furthermore, visualization was carried out for both coffee shop brands using Python consisting of top word, wordcloud top word, top actor poster, and top mentioned account. After that, making a network pattern graph model using the Gephi application with the Yifan Hu Proportional layout. Followed by an analysis of the network property values of the two brands to be compared. The comparison of the value obtained between the two coffee shop brands, namely the Janji Jiwa coffee shop, excels in 3 network property values such as size, avg. degree, and modularity. While the Kenangan coffee shop is only superior to 1 network property value, namely avg. path length. Other network property values, namely network density and diameter of Kenangan coffee shop and Janji Jiwa coffee shop have the same value. The results of the ranking analysis get different results from brand ranking using the Top Brand Award, namely Janji Jiwa coffee shop ranked 1st and Kenangan coffee shop ranked 2nd. While in the Top Brand Award, Kenangan coffee shop ranked 1st and Janji Jiwa coffee shop ranked 2nd.</dc:description>
	<dc:publisher xml:lang="en">Universitas Negeri Semarang</dc:publisher>
	<dc:date>2025-06-14</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/ujm/article/view/4408</dc:identifier>
	<dc:identifier>10.15294/ujm.v14i1.4408</dc:identifier>
	<dc:source xml:lang="en">Unnes Journal of Mathematics; Vol. 14 No. 1 (2025): Unnes Journal of Mathematics Volume 1, 2025; 1-9</dc:source>
	<dc:source>2460-5859</dc:source>
	<dc:source>2252-6943</dc:source>
	<dc:source>10.15294/ujm.v14i1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/journals/ujm/article/view/4408/4372</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2025 Unnes Journal of Mathematics</dc:rights>
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