Melola Discovery

← Melola Discovery

Open access Jurnal SINTA 1

Generating User Personas for Eliciting Requirements Using Online News Data

Journal of Information Systems Engineering and Business Intelligence · Vol. 11 No. 3 (2025) · pp. 407–419

DOI
10.20473/jisebi.11.3.407-419
ISSN
2443-2555, 2598-6333
Published
2025-10-28
Publisher
Universitas Airlangga
Language
eng
License
creativecommons.org/licenses/by/4.0

Abstract

Background: In software development, creating user personas remains challenging despite their recognized value. Cost, adaptability, and data scarcity present obstacles in designing these critical personas. A new perspective and process innovation for generating user personas is essential to overcome this hurdle. Objective: This study introduces a method for extracting user persona attributes, including names, occupations, workplaces, and goals. Methods: A framework for extracting user persona information from online news sources is created. Our method employs a comprehensive SpaCy processing pipeline, incorporating NER, SpaCy rule-based matching, and phrase matching. Results: The evaluation results showcase promising performance metrics, with an average recall value of 0.700, precision of 0.402, and F1-score of 0.506. Conclusion: This study demonstrates the feasibility of extracting user persona attributes from online news data. Future research could focus on enhancing the method’s performance, investigating its effectiveness in creating relationships, and ensuring that the generated user personas accurately reflect the news text data. Keywords: Process innovation, Natural Language Processing, Online News, Software Development, User Persona

Collaboration network of the authors

40 authors · 113 co-authorship links · 37 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.

  • Universitas Airlangga
  • Universiti Teknologi MARA
  • King Abdulaziz University
  • Edith Cowan University
  • Shih Chien University
  • National Cheng Kung University
  • National Research and Innovation Agency
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Army JustitiaUniversitas Airlangga4
Taufik TaufikUniversitas Airlangga3
Badrus ZamanUniversitas Airlangga3
Ahmad Hoirul BasoriKing Abdulaziz University3
Eva HariyantiUniversitas Airlangga3
Endah PurwantiUniversitas Airlangga2
Ibrahim Hafizhan WitsqaUniversitas Airlangga2
Taufik TaufikNational Research and Innovation Agency2
Faried EffendyUniversitas Airlangga2
Airlangga Dwi SatrioAffiliation unknown2
Vabela Dwi SeravinAffiliation unknown2
Audrey Maximillian HerliUniversitas Airlangga1
Purbandini SoeparmanUniversitas Airlangga1
Vierdy Sulfianto RahmadaniUniversitas Airlangga1
Indah SafarinaUniversitas Airlangga1
Abdulloh FakihUniversitas Airlangga1
Muhammad Zaky ErdiansyahUniversitas Airlangga1
Purbandini PurbandiniUniversitas Airlangga1
Irfan Nur AuliaUniversitas Airlangga1
Lydia WijayaUniversitas Airlangga1
Ferry JieEdith Cowan University1
Ira PuspitasariUniversitas Airlangga1
Elzha Odie SyahputraAffiliation unknown1
Fadel HarrisUniversitas Airlangga1
Nik Afiqah N. Ahmad YaniUniversiti Teknologi MARA1
Nurul Ain Mohd ZakiUniversiti Teknologi MARA1
Mohammad Hafiz IsmailUniversiti Teknologi MARA1
Andi Besse Firdausiah MansurKing Abdulaziz University1
Ersalina TrisnawatiUniversitas Airlangga1
Nouf Atiahallah AlghanmiKing Abdulaziz University1
Nania NuzulitaUniversitas Airlangga1
Arya PrasetyaUniversitas Airlangga1
Anindya Wita WisesaUniversitas Airlangga1
Aditya NugrohoShih Chien University1
Afifah NurrosyidahNational Cheng Kung University1
Ayub M. PadangaranAffiliation 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://e-journal.unair.ac.id/JISEBI/oai, first harvested 29 Okt 2026, last seen 1 Nov 2026.
Original metadata (oai_dc) 
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en-US">Generating User Personas for Eliciting Requirements Using Online News Data</dc:title>
	<dc:creator>Awalurahman, Halim Wildan </dc:creator>
	<dc:creator>Raharjana, Indra Kharisma</dc:creator>
	<dc:creator>Kartono, Kartono</dc:creator>
	<dc:creator>Fauzi , Shukor Sanim Mohd </dc:creator>
	<dc:description xml:lang="en-US">Background: In software development, creating user personas remains challenging despite their recognized value. Cost, adaptability, and data scarcity present obstacles in designing these critical personas. A new perspective and process innovation for generating user personas is essential to overcome this hurdle. 
Objective: This study introduces a method for extracting user persona attributes, including names, occupations, workplaces, and goals. 
Methods: A framework for extracting user persona information from online news sources is created. Our method employs a comprehensive SpaCy processing pipeline, incorporating NER, SpaCy rule-based matching, and phrase matching. 
Results: The evaluation results showcase promising performance metrics, with an average recall value of 0.700, precision of 0.402, and F1-score of 0.506. 
Conclusion: This study demonstrates the feasibility of extracting user persona attributes from online news data. Future research could focus on enhancing the method’s performance, investigating its effectiveness in creating relationships, and ensuring that the generated user personas accurately reflect the news text data. 
Keywords: Process innovation, Natural Language Processing, Online News, Software Development, User Persona </dc:description>
	<dc:publisher xml:lang="en-US">Universitas Airlangga</dc:publisher>
	<dc:date>2025-10-28</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:format>text/xml</dc:format>
	<dc:identifier>https://e-journal.unair.ac.id/JISEBI/article/view/77942</dc:identifier>
	<dc:identifier>10.20473/jisebi.11.3.407-419</dc:identifier>
	<dc:source xml:lang="en-US">Journal of Information Systems Engineering and Business Intelligence; Vol. 11 No. 3 (2025): October; 407-419</dc:source>
	<dc:source>2443-2555</dc:source>
	<dc:source>2598-6333</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://e-journal.unair.ac.id/JISEBI/article/view/77942/34428</dc:relation>
	<dc:relation>https://e-journal.unair.ac.id/JISEBI/article/view/77942/35459</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2025 The Authors. Published by Universitas Airlangga.</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by/4.0</dc:rights>
</oai_dc:dc>