Semantic Web Ontology for Vocational Education Self-Evaluation System

Self-evaluation is one of the most important activities undertaken by vocational high schools to improve internal and external conditions related to the performance and preparation of future work programs. In practice, selfevaluation always requires much data relating to the school. One issue that was released was that the data needed was still scattered on separate systems. Various methods are used to integrate manual and computer-aided, but it is very troublesome and requires a long time. One way to overcome this problem is to develop a self-assessment system using semantic web technology, correctly, ontology from related data. This paper aims to develop VISION, a semantic web-based ontology to improve vocational education self-evaluation systems. The method used is system development, which consists of 5 stages, namely 1) analysis, 2) design, 3) development, 4) implementation and 5) evaluation. This paper focuses on analyzing, designing, and developing a prototype of a self-evaluation system for Vocational Schools based on semantic web ontology. The results show that the concept of web semantic technology can improve the effectiveness and efficiency of self-evaluation in vocational schools in Indonesia.