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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) · hlm. 1–9

DOI
10.15294/ujm.v14i1.4408
ISSN
2460-5859, 2252-6943
Terbit
2025-06-14
Penerbit
Universitas Negeri Semarang
Bahasa
eng

Abstrak

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.

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  • State University of Semarang
  • Universitas Airlangga
  • Universitas Nahdlatul Ulama Blitar
  • Universitas Halu Oleo
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  • Organisasi berbeda
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Rekan penulisOrganisasiArtikel bersama
Kartono KartonoUniversitas Airlangga5
Nuriana Rachmani DewiAfiliasi tidak diketahui2
Emi PujiastutiState University of Semarang2
Endang Retno WinartiAfiliasi tidak diketahui2
Mohammad AsikinAfiliasi tidak diketahui2
Mita KonitaAfiliasi tidak diketahui2
SITI NUR ALISYAHAfiliasi tidak diketahui2
Iffah Sartika BuwonoAfiliasi tidak diketahui2
Sugianto SugiantoUniversitas Nahdlatul Ulama Blitar1
Dwi YuliantiState University of Semarang1
Siti Harnina BintariAfiliasi tidak diketahui1
Riza ArifudinState University of Semarang1
Rozak Ilham AdityaAfiliasi tidak diketahui1
Adi Nur CahyonoAfiliasi tidak diketahui1
Bagus Surya MaulanaAfiliasi tidak diketahui1
Muhammad Andi NugrohoAfiliasi tidak diketahui1
Isnaini RosyidaAfiliasi tidak diketahui1
Lana Aristya AnggrainiAfiliasi tidak diketahui1
Stevanus Budi WaluyaAfiliasi tidak diketahui1
Haya RohmatunnisaAfiliasi tidak diketahui1
Muhammad Fajar SafaatullahAfiliasi tidak diketahui1
Masrukan MasrukanState University of Semarang1
Muchammad ImronAfiliasi tidak diketahui1
Ishmah Khairina ZakiriAfiliasi tidak diketahui1
Monika Dwi HaryantiAfiliasi tidak diketahui1
Lailatus SyarifahAfiliasi tidak diketahui1
Milna WafirahAfiliasi tidak diketahui1
Hardi SuyitnoAfiliasi tidak diketahui1
Azwida Rosana MaulidaAfiliasi tidak diketahui1
Kartono KatonoAfiliasi tidak diketahui1
Scolastika MarianiState University of Semarang1
Imam FahruddinAfiliasi tidak diketahui1
Budi WaluyaAfiliasi tidak diketahui1
Supriyono SupriyonoAfiliasi tidak diketahui1
Nur HasanahUniversitas Halu Oleo1
Iqbal KharisudinAfiliasi tidak diketahui1
Wardono WardonoAfiliasi tidak diketahui1
Hendi Widi PriyonggoAfiliasi tidak diketahui1

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Sumber metadata: OAI-PMH (metadata jurnal) https://journal.unnes.ac.id/journals/ujm/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">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>
</oai_dc:dc>