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Finding Knowledge from Indonesian Traditional Medicine using Semantic Web Rule Language

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 7 No. 6 (2017)

DOI
10.11591/ijece.v7i6.pp3674-3682
ISSN
2088-8708, 2088-8708
Published
2017-12-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-nc/4.0

Abstract

One of the natural resources in Indonesia is a lot of plants which can be used in healing diseases. Thosekinds of plants can be used in “Jamu”. Jamu is a name given to traditional medicine in Indonesia. Usually Jamu is composed from several plants as ingredients. Particularly, some parts of the plant like the leaves, roots, or branches have different purpose in Jamu. Nowadays the knowledge about Jamu can be known by building Ontology. Ontology can be built and developed to enrich the content. Knowledge in Ontology is built by several rules using Semantic Web Rule Language (SWRL).Knowledge gained from SWRL is easily searchable so that users can double check the results obtained.

Collaboration network of the authors

19 authors · 24 co-authorship links · 6 across different organisations

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  • Universitas Gadjah Mada
  • Universitas Stikubank
  • Universitas Trunodjoyo Madura
  • Sekolah Tinggi Multi Media "MMTC" Yogyakarta
  • Universitas Teknokrat Indonesia
  • Institut Teknologi Telkom Purwokerto
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Retantyo WardoyoUniversitas Gadjah Mada4
Edi WinarkoUniversitas Gadjah Mada4
Edhy SutantaUniversitas Gadjah Mada4
Wiwien HadikurniawatiUniversitas Stikubank2
Oesman Hendra KelanaUniversitas Gadjah Mada1
Anie Rose IrawatiUniversitas Gadjah Mada1
Wikranta ArsaUniversitas Gadjah Mada1
Firmansyah AdiputraUniversitas Trunodjoyo Madura1
Erma SusantiUniversitas Gadjah Mada1
Teguh SusyantoAffiliation unknown1
David KristiadiSekolah Tinggi Multi Media "MMTC" Yogyakarta1
Sunu Pinasthika FajarUniversitas Gadjah Mada1
Styawati StyawatiUniversitas Teknokrat Indonesia1
Shona Chayy BilqisthUniversitas Gadjah Mada1
Sigit PriyantaUniversitas Gadjah Mada1
Amalia Nur AnggraeniUniversitas Gadjah Mada1
Tenia WahyuningrumInstitut Teknologi Telkom Purwokerto1

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.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Metadata as oai_dc, converted from Crossref
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"><dc:title>Finding Knowledge from Indonesian Traditional Medicine using Semantic Web Rule Language</dc:title><dc:creator>Gunawan, Ridowati</dc:creator><dc:creator>Mustofa, Khabib</dc:creator><dc:description>&lt;jats:p&gt;One of the natural resources in Indonesia is a lot of plants which can be used in healing diseases. Thosekinds of plants can be used in “Jamu”. Jamu is a name given to traditional medicine in Indonesia. Usually Jamu is composed from several plants as ingredients. Particularly, some parts of the plant like the leaves, roots, or branches have different purpose in Jamu. Nowadays the knowledge about Jamu can be known by building Ontology. Ontology can be built and developed to enrich the content. Knowledge in Ontology is built by several rules using Semantic Web Rule Language (SWRL).Knowledge gained from SWRL is easily searchable so that users can double check the results obtained.&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2017-12-01</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://doi.org/10.11591/ijece.v7i6.pp3674-3682</dc:identifier><dc:identifier>10.11591/ijece.v7i6.pp3674-3682</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 7 No 6 (2017); 3674</dc:source><dc:source>2088-8708</dc:source><dc:source>2088-8708</dc:source><dc:relation>http://ijece.iaescore.com/index.php/IJECE/article/viewFile/8737/7396</dc:relation><dc:rights>http://creativecommons.org/licenses/by-nc/4.0</dc:rights></oai_dc:dc>