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Ontology Engineering for Modeling National Student Achievements in Higher Education

Edu Komputika Journal · Vol. 11 No. 2 (2024) · hlm. 126–135

DOI
10.15294/edukom.v11i2.28254
ISSN
2599-297X, 2252-6811
Terbit
2024-12-31
Penerbit
Universitas Negeri Semarang
Bahasa
eng

Abstrak

The need for structured and semantically rich data in higher education underscores the role of ontology-based knowledge modeling. This study develops an ontology to represent national-level student achievements, covering key aspects such as institution, achievement field, category, year, level, and student status. Using a formal ontology engineering approach, the ontology was developed in Protégé and encoded in OWL. Evaluation involved technical validation and reasoning tests including class subsumption, consistency checking, instance classification, and rule-based inference to assess logical soundness and semantic correctness. Description Logic (DL) queries were also executed based on competency questions to evaluate the ontology’s ability to support semantic querying. The results demonstrate that the ontology effectively supports knowledge inference and structured data retrieval, offering strong potential for integration within semantic web environments. This provides a foundation for data interoperability and knowledge sharing across educational systems at the national level. Future work includes expanding the ontology to incorporate dynamic achievement updates and linking with external educational data sources.

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  • State University of Semarang
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Anik MaghfirohAfiliasi tidak diketahui6
Trisnani WidowatiAfiliasi tidak diketahui5
Clarita AprilianiAfiliasi tidak diketahui5
Ade Novi Nurul IhsaniAfiliasi tidak diketahui5
Anan NugrohoState University of Semarang4
Chandra AtmajaAfiliasi tidak diketahui4
Muhammad ArdianAfiliasi tidak diketahui4
Riska Dami RistantoAfiliasi tidak diketahui2
Humam Nasywa FawaziAfiliasi tidak diketahui2
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Damar Hadziq HidayatilahAfiliasi tidak diketahui2
Ariska Fitriyana NingrumAfiliasi tidak diketahui1
Mia Hafizah TumanggerAfiliasi tidak diketahui1
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Erna SetyowatiAfiliasi tidak diketahui1
Fisa SavantiAfiliasi tidak diketahui1
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Hanif ArdhiansyahAfiliasi tidak diketahui1
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Sumber metadata: OAI-PMH (metadata jurnal) https://journal.unnes.ac.id/journals/edukom/oai, pertama di-harvest 5 Nov 2026, terakhir terlihat 5 Nov 2026.
Metadata asli (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">Ontology Engineering for Modeling National Student Achievements in Higher Education</dc:title>
	<dc:creator xml:lang="en">Sudarni, Ajeng Rahma</dc:creator>
	<dc:creator xml:lang="en">Prasetyo, Septian Eko</dc:creator>
	<dc:creator xml:lang="en">Ardhiansyah, Alfian </dc:creator>
	<dc:creator xml:lang="en">Khaira, Mulil</dc:creator>
	<dc:subject xml:lang="en">Ontology Engineering</dc:subject>
	<dc:subject xml:lang="en">Reasoning</dc:subject>
	<dc:subject xml:lang="en">Semantic Web</dc:subject>
	<dc:subject xml:lang="en">Student Achivement</dc:subject>
	<dc:description xml:lang="en">The need for structured and semantically rich data in higher education underscores the role of ontology-based knowledge modeling. This study develops an ontology to represent national-level student achievements, covering key aspects such as institution, achievement field, category, year, level, and student status. Using a formal ontology engineering approach, the ontology was developed in Protégé and encoded in OWL. Evaluation involved technical validation and reasoning tests including class subsumption, consistency checking, instance classification, and rule-based inference to assess logical soundness and semantic correctness. Description Logic (DL) queries were also executed based on competency questions to evaluate the ontology’s ability to support semantic querying. The results demonstrate that the ontology effectively supports knowledge inference and structured data retrieval, offering strong potential for integration within semantic web environments. This provides a foundation for data interoperability and knowledge sharing across educational systems at the national level. Future work includes expanding the ontology to incorporate dynamic achievement updates and linking with external educational data sources.</dc:description>
	<dc:publisher xml:lang="en">Universitas Negeri Semarang</dc:publisher>
	<dc:date>2024-12-31</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.unnes.ac.id/journals/edukom/article/view/28254</dc:identifier>
	<dc:identifier>10.15294/edukom.v11i2.28254</dc:identifier>
	<dc:source xml:lang="en">Edu Komputika Journal; Vol. 11 No. 2 (2024): Edu Komputika Journal; 126-135</dc:source>
	<dc:source>2599-297X</dc:source>
	<dc:source>2252-6811</dc:source>
	<dc:source>10.15294/edukom.v11i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/journals/edukom/article/view/28254/5633</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2024 Edu Komputika Journal</dc:rights>
</oai_dc:dc>