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Contact Name
Risanuri Hidayat
Contact Email
risanuri@ugm.ac.id
Phone
+62274-552305
Journal Mail Official
jnteti@ugm.ac.id
Editorial Address
Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada Jl. Grafika No 2. Kampus UGM Yogyakarta 55281
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Kab. sleman,
Daerah istimewa yogyakarta
INDONESIA
Jurnal Nasional Teknik Elektro dan Teknologi Informasi
ISSN : 23014156     EISSN : 24605719     DOI : 10.22146/jnteti
Topics cover the fields of (but not limited to): 1. Information Technology: Software Engineering, Knowledge and Data Mining, Multimedia Technologies, Mobile Computing, Parallel/Distributed Computing, Artificial Intelligence, Computer Graphics, Virtual Reality 2. Power Systems: Power Generation, Power Distribution, Power Conversion, Protection Systems, Electrical Material 3. Signals, Systems, and Electronics: Digital Signal Processing Algorithm, Robotic Systems and Image Processing, Biomedical Instrumentation, Microelectronics, Instrumentation and Control 4. Communication Systems: Management and Protocol Network, Telecommunication Systems, Wireless Communications, Optoelectronics, Fuzzy Sensor and Network
Articles 11 Documents
Search results for , issue "Vol 10 No 4: November 2021" : 11 Documents clear
Pengembangan Onti Measures Berbasis Web dengan Pengujian Data Ontology Virus dan Penyakit Nur Alfi Ekowati; Ika Indah Lestari; Sulistiyasni
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 10 No 4: November 2021
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1510.956 KB) | DOI: 10.22146/jnteti.v10i4.2443

Abstract

The use of the ontology document in the COVID-19 case is an example where the inconsistency measure for OWL ontologies is undoubtedly needed. Ontology is a knowledge representation of semantic web technology, which is the extension of a website. The role of inconsistency measure is essential in ensuring that all information on an ontology is consistent. This research aims to develop a web-based application program, namely Onti Measures, which is an expansion of the inconsistency measures program prototype that has been created in the previous research. That prototype has multiple weaknesses, such as it is only in the form of program codes with no user interface so that the public cannot access this program. The data collection method in this research was done through literature study, while the waterfall method was used as the system development method. This research’s testing sample was ontology files for virus and disease cases served as the input of Onti Measures using 3 types of OWL reasoners. The program's outputs were the information of inconsistency values, running times, and the ontology sizes. The testing was done by employing the whitebox and blackbox testing methods.

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