Combining rating scale and FANP to determine the important weight of learning competency for students’ assessment

作     者：Sri Andayani Sri Hartati Retantyo Wardoyo Djemari Mardapi 

作者机构：1Doctoral program of Computer Science Universitas Gadjah Mada Yogyakarta Indonesia 2Department of Computer Science and Electrical Universitas Gadjah Mada Yogyakarta Indonesia 3Study Program of Educational Research and Evaluation Graduate School Universitas Negeri Yogyakarta Indonesia 

出 版 物：《AIP Conference Proceedings》 

年 卷 期：2016年第1755卷第1期

学科分类：07[理学] 0702[理学-物理学] 

摘      要：Determining the important weight of learning competency is an important problem for students’ assessment in credentialing and certification decision-making. Learning competencies should have importance weight that definitely affect the final decision, and can represent strengths and weaknesses of student achievement of certain competencies. The weight of learning competency is determined based on its difficulty level, which is identified by the depth, scope and complexity of material involved in it. The dependency among learning competencies must also be considered in determining the weight. Therefore, this study aims to develop a weighting method based on combining rating scale and fuzzy analytic network process (FANP) to determine the weight of learning competency. Using the proposed method, the weight of learning competency is obtained and then can be used in calculating the final score for students’ assessment.