Applying OWL Ontology to Zachman Framework for Requirement Analysis

2014 ◽  
Author(s):  
Ju Yeon Lee ◽  
◽  
Kyeongrim Ahn ◽  
Suyoun Lee ◽  
◽  
...  
2016 ◽  
Vol 2 (2) ◽  
pp. 98
Author(s):  
Titus Kristanto

AbstrakManajemen aset merupakan hal terpenting dalam perusahaan. Proses manajemen aset yang tepat, dapat membuat aset yang dimiliki perusahaan lebih optimal. Dalam penelitian ini, Penulis membahas perancangan Enterprise Architecture (EA) manajemen aset yang dimiliki oleh PT Pembangkit Jawa Bali (PT PJB) dengan Zachman Framework. Ada 7 (tujuh) tahapan yang dilakukan perusahaan dalam manajemen aset yaitu tahapan pengumpulan data, inisialisasi perencanaan, melihat kondisi perusahaan, menganalisis hasil kondisi enterprise, membuat perencanaan arsitektur, membuat rencana implementasi, dan membuat portofolio aplikasi. Hasil penelitian adalah evaluasi blueprint arsitektur untuk diimplementasikan pada beberapa tahun di masa mendatang.Kata kunci: Enterprise Architecture Planning, manajemen aset, Zachman Frameworks. AbstractAsset management is a cornerstone for any business organisations. Proper asset management process can make a company's assets more optimal. This paper discusses the design of enterprise architecture of management assets owned by PT Pembangkit Jawa Bali with Zachman Framework. There are 7 stages in asset management, i.e. data collection, initialization planning, Observing the existing condition of enterprise, analyze the results of the condition of enterprise companies, create architectural planning, create implementation planning, and create application portfolio. The results of this reseach is evaluation of architectural blueprint to be implemented for several years in the future.Keywords: Asset management, Enterprise Architecture Planning, Zachman Framework.


Author(s):  
Ardhin Primadewi ◽  
Mukhtar Hanafi

Higher education in Indonesia is regulated by the government with the Higher Education Accreditation (APT). In APT 3.0, Higher Education is required to be able to present performance data in the form of a Higher Education Performance Report (LKPT) as a reference in making a Self-Evaluation Report (LED). However, it is necessary to have an in-depth analysis to determine the gaps in the data required by Higher Education according to the APT 3.0 standard. The process of integrating the samples refer to the Zachman Framework (ZF). The results of this simplification that the data is available in support of APT 3.0 approximately 79% of the total data both inside and outside the core business of Higher Education and is well managed in an integrated database. The remaining 21% of the data that are not available is spread across several information systems, especially SIMMawa, SIMHumas and Cooperation, and SIMAKU. This shows that the change in accreditation standards that have been in effect since April 2019 has created a significant data gap for Higher Education. This research also produced an alternative model of integrated data management that can be used as input for Information System developers in the Higher Education scope.


2021 ◽  
Vol 1098 (3) ◽  
pp. 032084
Author(s):  
R Elsen ◽  
D Kurniadi ◽  
S Rahayu ◽  
M R Nashrulloh

2021 ◽  
Vol 11 (8) ◽  
pp. 3368
Author(s):  
Liping Wang ◽  
Jianshe Ma ◽  
Ping Su ◽  
Jianwei Huang

High-resolution pixel LED headlamps are lighting devices that can produce high-resolution light distribution to adapt to road and traffic conditions, intelligently illuminate traffic areas, and assist drivers. Due to the complexity of roads and traffic conditions, the functional diversity of high-resolution pixel LEDs headlamps and traffic safety has come into question and is the subject of in-depth research conducted by car manufacturers and regulators. We summarize the current possible functions of high-resolution pixel LED headlamps and analyze ways in which they could be improved. This paper also discusses the prospect of new technologies in the future.


2013 ◽  
Vol 389 ◽  
pp. 698-702
Author(s):  
Xiao Chen ◽  
Ling Chen ◽  
Wo Ye Liu ◽  
Fei Han

To improve the efficiency of planning maintenance resources requirement, the artificial intelligent (AI) technology, especially Case-Based Reasoning (CBR) is applied into maintenance resources requirement analysis process, the process is introduced, and the critical techniques of which, such as case representation and organization etc, are discussed in detail, according to the case characteristics, analyzed the cases main ingredient, cases representation and organization which is based on Relation Database and Object Oriented are detailed discussed, the development of case-based maintenance resources requirement analysis prototype system proved the validity of the technique, formed the foundation for the case-based maintenance resources requirement analysis system perfection.


Author(s):  
Rafael Valencia-Garcia ◽  
Francisco Garcia-Sanchez ◽  
Dagoberto Castellanos-Nieves ◽  
Jesualdo Tomas Fernandez-Breis
Keyword(s):  

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