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MENGUKUR DIMENSI KOGNISI: PENDEKATAN ALGORITMA DALAM ANALISIS BAHASA

Jurnal Sarjana Ilmu Budaya · Vol. 4 No. 01 (2024) · pp. 73–82

DOI
10.12259/jsib.v4i01.32959
ISSN
2986-0504, 0000-0000
Published
2024-01-31
Publisher
Departemen Sastra Asia Barat, Fakultas Ilmu budaya, Universitas Hasanuddin
Language
en
License
creativecommons.org/licenses/by-nc/4.0

Abstract

English

This research explores the relationship between cognitive dimensions and the implementation of linguistic algorithms in language analysis. The main findings show that linguistic algorithms are capable of replicating a number of cognitive patterns, including information extraction, context understanding, syntactic analysis, maintenance of discourse cohesion, and adaptability. By pursuing these cognitive patterns, linguistic algorithms can increase their response capabilities and complexity in language processing. This research provides a strong theoretical basis for the development of more effective and adaptive language processing systems, paving the way for approaches that are more responsive to linguistic dynamics and contextual changes.

Bahasa Indonesia

Penelitian ini mengeksplorasi keterkaitan antara dimensi kognisi dan implementasi algoritma linguistik dalam analisis bahasa. Temuan utama menunjukkan bahwa algoritma linguistik mampu mereplikasi sejumlah pola kognitif, termasuk ekstraksi informasi, pemahaman konteks, analisis sintaktis, pemeliharaan kohesi wacana, dan adaptabilitas. Dengan mengejar pola-pola kognitif ini, algoritma linguistik dapat meningkatkan kemampuan respons dan kompleksitasnya dalam pemrosesan bahasa. Penelitian ini memberikan dasar teoretis yang kuat untuk pengembangan sistem pemrosesan bahasa yang lebih efektif dan adaptif, membuka jalan bagi pendekatan yang lebih responsif terhadap dinamika linguistik dan perubahan kontekstual.

Collaboration network of the authors

40 authors · 97 co-authorship links

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

  • Cenderawasih University
  • Sebelas Maret University
  • Universitas Sembilanbelas November Kolaka
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Sitti Wahidah MasnaniAffiliation unknown9
Yusring Sanusi BasoAffiliation unknown4
Faridah RahmanAffiliation unknown4
Najmuddin H. Abd SafaAffiliation unknown4
Mujadilah nurAffiliation unknown4
Muhammad RidwanAffiliation unknown4
HaeriyyahAffiliation unknown3
Fadlan AhmadAffiliation unknown3
Amalia DzulqaidahAffiliation unknown2
Nurul Ishlah MaulidaAffiliation unknown2
Yuliana YulianaCenderawasih University2
Haeriyyah HaeriyyahAffiliation unknown2
Yusring Sanusi B.Affiliation unknown2
Nurul Fadilah IdrusAffiliation unknown1
St Wijdana RamAffiliation unknown1
Sahrul Ramadhan SulemanAffiliation unknown1
Hasniar HasniarAffiliation unknown1
Inka Pratiwi HamkaAffiliation unknown1
Muhammad Naufal AsagafAffiliation unknown1
Alfira NadianaAffiliation unknown1
Syamsul Bahri Abd. HamidAffiliation unknown1
Muhammad Fadil ArifinAffiliation unknown1
Munif MutawalliAffiliation unknown1
Nurul FadilaAffiliation unknown1
HaeruddinAffiliation unknown1
Sri Rahmayanti RukmanaAffiliation unknown1
Fitrah NurhidayahAffiliation unknown1
Nur Putri Widiyawati NasirAffiliation unknown1
SupratmanAffiliation unknown1
sitiAffiliation unknown1
Ahmad FadlanSebelas Maret University1
Andhika Misbachul FuadiAffiliation unknown1
Syamsul Bahri Abd. HamidAffiliation unknown1
Supratman SupratmanUniversitas Sembilanbelas November Kolaka1
Haeruddin HaeruddinAffiliation unknown1
Firman SalehAffiliation unknown1
Haeruddin HaeruddinAffiliation 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.unhas.ac.id/index.php/jsbsk/oai, first harvested 2 Nov 2026, last seen 2 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en">MENGUKUR DIMENSI KOGNISI: PENDEKATAN ALGORITMA DALAM ANALISIS BAHASA</dc:title>
	<dc:creator xml:lang="en">Agussalim, Andi</dc:creator>
	<dc:creator xml:lang="en">Baso, Yusring S.</dc:creator>
	<dc:creator xml:lang="en">Zuhriah, Zuhriah</dc:creator>
	<dc:description xml:lang="en">This research explores the relationship between cognitive dimensions and the implementation of linguistic algorithms in language analysis. The main findings show that linguistic algorithms are capable of replicating a number of cognitive patterns, including information extraction, context understanding, syntactic analysis, maintenance of discourse cohesion, and adaptability. By pursuing these cognitive patterns, linguistic algorithms can increase their response capabilities and complexity in language processing. This research provides a strong theoretical basis for the development of more effective and adaptive language processing systems, paving the way for approaches that are more responsive to linguistic dynamics and contextual changes.</dc:description>
	<dc:description xml:lang="id">Penelitian ini mengeksplorasi keterkaitan antara dimensi kognisi dan implementasi algoritma linguistik dalam analisis bahasa. Temuan utama menunjukkan bahwa algoritma linguistik mampu mereplikasi sejumlah pola kognitif, termasuk ekstraksi informasi, pemahaman konteks, analisis sintaktis, pemeliharaan kohesi wacana, dan adaptabilitas. Dengan mengejar pola-pola kognitif ini, algoritma linguistik dapat meningkatkan kemampuan respons dan kompleksitasnya dalam pemrosesan bahasa. Penelitian ini memberikan dasar teoretis yang kuat untuk pengembangan sistem pemrosesan bahasa yang lebih efektif dan adaptif, membuka jalan bagi pendekatan yang lebih responsif terhadap dinamika linguistik dan perubahan kontekstual.</dc:description>
	<dc:publisher xml:lang="en">Departemen Sastra Asia Barat, Fakultas Ilmu budaya, Universitas Hasanuddin</dc:publisher>
	<dc:date>2024-01-31</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.unhas.ac.id/index.php/jsbsk/article/view/32959</dc:identifier>
	<dc:identifier>10.12259/jsib.v4i01.32959</dc:identifier>
	<dc:source xml:lang="en">Jurnal Sarjana Ilmu Budaya; Vol. 4 No. 01 (2024): Jurnal Sarjana Ilmu Budaya; 73-82</dc:source>
	<dc:source>2986-0504</dc:source>
	<dc:source>0000-0000</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://journal.unhas.ac.id/index.php/jsbsk/article/view/32959/11211</dc:relation>
	<dc:coverage xml:lang="en">Linguistik, Kognisi, Algoritma, Bahasa, Komputasi</dc:coverage>
	<dc:rights xml:lang="en">http://creativecommons.org/licenses/by-nc/4.0</dc:rights>
</oai_dc:dc>