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Pengembangan Modul Autentikasi Captcha Berbasis Gambar dengan Algoritma Flood Fill

Journal of Information Systems Engineering and Business Intelligence · Vol. 3 No. 1 (2017) · pp. 1–7

DOI
10.20473/jisebi.3.1.1-7
ISSN
2443-2555, 2598-6333
Published
2017-04-28
Publisher
Universitas Airlangga
Language
eng

Abstract

Abstrak” Captcha merupakan salah satu cara memberikan akses internet yang aman dari serangan bots. Captcha (Completely Automated Public Turing Test To Tell Computers and Humans Apart) merupakan sebuah challenge response test yang digunakan untuk membedakan manusia dan robot (bots). Namun seiring perkembangan waktu, telah berkembang serangan otomatis yang berhasil membobol beberapa jenis Captcha. Oleh karena itu, pada penelitian ini dikembangkan Captcha berbasis gambar dengan metode autentikasi yang berbeda. Autentikasi Captcha dilakukan dengan menerapkan algoritma Flood Fill. Dalam implementasinya, dapat disimpulkan bahwa algoritma Flood Fill berhasil diimplementasikan pada autentikasi modul Capthca berbasis gambar. Telah dilakukan juga pengumpulan sampel data dan didapatkan hasil 77.4% responden merekomendasikan penggunaan Captcha yang telah dibangun. Kata Kunci” Autentikasi, Captcha, Captcha Berbasis Gambar, Flood FillAbstract” Captcha is one of many methods to secure internet from bots attack. Captcha (Completely Automated Public Turing Test To Tell Computers and Humans Apart) is a challenge response test which used to differentiate human from bots. However after the times flow, some hackers had successfully made an automatic bots to break captcha. Therefore, in this particular research, formed an imaged based captcha that uses different method of authentication. Flood Fill algorithm will be used as authentication method. In the implementation, Flood Fill algorithm has been successfully implemented as an authentication method in image based captcha. After that, data samples have been collected and the result shows 77.4% respondents agreed to recommend using the Captcha that has been developed. Keywords” Authentication, Captcha, Image-based Captcha, Flood Fill

Keywords

Collaboration network of the authors

9 authors · 9 co-authorship links · 1 across different organisations

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

  • Multimedia Nusantara University
  • Universitas Gadjah Mada
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Arthur Bachtiar GunawanMultimedia Nusantara University2
Marcel Bonar KristandaMultimedia Nusantara University2
Subanar SubanarUniversitas Gadjah Mada1
Dharma PratamaMultimedia Nusantara University1
Jason ChristianMultimedia Nusantara University1
Santo Sinar PandeanMultimedia Nusantara University1
Naufal Irfan HayantoMultimedia Nusantara 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://e-journal.unair.ac.id/JISEBI/oai, first harvested 29 Okt 2026, last seen 29 Okt 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">Pengembangan Modul Autentikasi Captcha Berbasis Gambar dengan Algoritma Flood Fill</dc:title>
	<dc:creator>Wandapranata, Jessika</dc:creator>
	<dc:creator>Hansun, Seng</dc:creator>
	<dc:subject xml:lang="en-US">Autentikasi</dc:subject>
	<dc:subject xml:lang="en-US">Captcha</dc:subject>
	<dc:subject xml:lang="en-US">Captcha Berbasis Gambar</dc:subject>
	<dc:subject xml:lang="en-US">Flood Fill</dc:subject>
	<dc:description xml:lang="en-US">Abstrak” Captcha merupakan salah satu cara memberikan akses internet yang aman dari serangan bots. Captcha (Completely Automated Public Turing Test To Tell Computers and Humans Apart) merupakan sebuah challenge response test yang digunakan untuk membedakan manusia dan robot (bots). Namun seiring perkembangan waktu, telah berkembang serangan otomatis yang berhasil membobol beberapa jenis Captcha. Oleh karena itu, pada penelitian ini dikembangkan Captcha berbasis gambar dengan metode autentikasi yang berbeda. Autentikasi Captcha dilakukan dengan menerapkan algoritma Flood Fill. Dalam implementasinya, dapat disimpulkan bahwa algoritma Flood Fill berhasil diimplementasikan pada autentikasi modul Capthca berbasis gambar. Telah dilakukan juga pengumpulan sampel data dan didapatkan hasil 77.4% responden merekomendasikan penggunaan Captcha yang telah dibangun. Kata Kunci” Autentikasi, Captcha, Captcha Berbasis Gambar, Flood FillAbstract” Captcha is one of many methods to secure internet from bots attack. Captcha (Completely Automated Public Turing Test To Tell Computers and Humans Apart) is a challenge response test which used to differentiate human from bots. However after the times flow, some hackers had successfully made an automatic bots to break captcha. Therefore, in this particular research, formed an imaged based captcha that uses different method of authentication. Flood Fill algorithm will be used as authentication method. In the implementation, Flood Fill algorithm has been successfully implemented as an authentication method in image based captcha. After that, data samples have been collected and the result shows 77.4% respondents agreed to recommend using the Captcha that has been developed. Keywords” Authentication, Captcha, Image-based Captcha, Flood Fill</dc:description>
	<dc:publisher xml:lang="en-US">Universitas Airlangga</dc:publisher>
	<dc:date>2017-04-28</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:identifier>https://e-journal.unair.ac.id/JISEBI/article/view/2740</dc:identifier>
	<dc:identifier>10.20473/jisebi.3.1.1-7</dc:identifier>
	<dc:source xml:lang="en-US">Journal of Information Systems Engineering and Business Intelligence; Vol. 3 No. 1 (2017): April; 1-7</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/2740/2785</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2017 Jessika Wandapranata, Seng Hansun</dc:rights>
</oai_dc:dc>