Jurnal SINTA 2
MODEL REPRESENTASI INFORMASI DAN PENGETAHUAN UNTUK PROYEK-PROYEK PERUSAHAAN DENGAN MENGGUNAKAN SEMANTIK ONTOLOGI
JUTI: Jurnal Ilmiah Teknologi Informasi · Vol. 7 No. 2 (2008) · pp. 93–100
- ISSN
- 2406-8535, 1412-6389
- Published
- 2008-07-01
- Publisher
- Institut Teknologi Sepuluh Nopember
- Language
- eng
Abstract
This paper presents the utilization of knowledge management system for information and knowledge model development of enterprise projects. This information and knowledge management model is based on ontology semantic data model. The ontology data model is new technique for representing information and knowledge base on more semantically conception of meanings of objects, their properties, and relations between them that may arise within certain domain knowledge. The concern of the knowledge management model is to ensure that the model allows the process of creation, access, and utilization of data in a semantically manner (for querying process) and information or knowledge of enterprise projects. The experimentation shows that project ontology model has satisfied all consistent, valid, complete, and correct ontology model criteria and can be used for semantic reasoning computation. A prototype of the proposed model can access information and knowledge from the knowledge ontology model. Kata Kunci: knowledge management system, semantic data model, ontology model, semantiq query, enterprise projects
Collaboration network of the authors
40 authors · 52 co-authorship links · 8 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 Gadjah Mada
- Udayana University
- IPB University
- Multimedia Nusantara University
- Institut Bisnis dan Teknologi Indonesia
- Sunan Kalijaga State Islamic University Yogyakarta
- Institut Teknologi dan Sains Mandala
- Other organisations
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Aina Musdholifah | Universitas Gadjah Mada | 6 |
| Edi Winarko | Universitas Gadjah Mada | 5 |
| Agus Harjoko | Universitas Gadjah Mada | 5 |
| Khabib Mustofa | Universitas Gadjah Mada | 4 |
| Edhy Sutanta | Universitas Gadjah Mada | 4 |
| Rahmat Budiarsa | Universitas Gadjah Mada | 2 |
| Bangun Wijayanto | Universitas Gadjah Mada | 1 |
| Sri Nurdiati | IPB University | 1 |
| Decky Hendarsyah | Universitas Gadjah Mada | 1 |
| Jati Sasongko Wibowo | Affiliation unknown | 1 |
| Aridhanyati Arifin | Affiliation unknown | 1 |
| Jamila Jamila | Affiliation unknown | 1 |
| Awaluddin Awaluddin | Affiliation unknown | 1 |
| Rio Kurniawan | Universitas Gadjah Mada | 1 |
| Seng Hansun | Multimedia Nusantara University | 1 |
| Rita Wiryasaputra | Universitas Gadjah Mada | 1 |
| Elena Yustina | Universitas Gadjah Mada | 1 |
| Sri Fitri Wahyuni | Affiliation unknown | 1 |
| Sherly Jayanti | Affiliation unknown | 1 |
| Salahuddin Salahuddin | Universitas Gadjah Mada | 1 |
| Putri Elfa Mas’udia | Affiliation unknown | 1 |
| Desak Made Dwi Utami Putra | Institut Bisnis dan Teknologi Indonesia | 1 |
| Rina Pramitasari | Universitas Gadjah Mada | 1 |
| Tedy Rismawan | Universitas Gadjah Mada | 1 |
| Muhammad Lhsan Sarita | Affiliation unknown | 1 |
| Rusdi Efendi | Affiliation unknown | 1 |
| Albert Dian Sano | Affiliation unknown | 1 |
| Sylvia Jane Annatje Sumarauw | Affiliation unknown | 1 |
| Shofwatul Uyun | Sunan Kalijaga State Islamic University Yogyakarta | 1 |
| Abdul Wahid | Institut Teknologi dan Sains Mandala | 1 |
| Nur Hasanah | Affiliation unknown | 1 |
| Muhamad Munawar Yusro | Jenderal Soedirman University | 1 |
| Muhammad Fakhrurrifqi | Affiliation unknown | 1 |
| I Wayan Supriana | Udayana University | 1 |
| Peggi Sri Astuti | Udayana University | 1 |
| Siska Dewi Lestari | Affiliation unknown | 1 |
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.