基于KKNI的Kurikulum理解水平群的X均值聚类方法

Saeful Anwar, Nisa Dienwati Nuris, Yudhistira Arie Wijaya
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引用次数: 2

摘要

2012年关于高等教育的第12号法律第35条第2款解释说,PT课程的制定是指每一个培养高尚智力和技能的学习项目的国家高等教育标准。KKNI或印度尼西亚国家资格框架将教育领域与培训和工作经验领域结合在一起、等同并结合在一起,从概念上讲,印尼国家资格框架(KKNI)由六(6)个主要参数组成,包括科学、知识、专门技能、技能、情感和能力。根据使用x均值算法进行聚类分析或分组的结果,发现科学(A)、知识(B)、技能(D)和能力(F)的参数受访者更有可能回答理解,并且非常理解。在专有技术参数(C)中,受访者回答的倾向被很好地理解,而在情感参数(E)中,参与者倾向于在理解和完全理解之间回答,但在聚类0和聚类1之间形成对比。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pengelompokkan Tingkat Pemahaman Kurikulum Berbasis KKNI Menggunakan Metode X-Means Clustering
In Law Number 12 of 2012 concerning Higher Education in Article 35 Paragraph 2 explains that the development of PT curriculum refers to the National Higher Education Standards for every study program that develops noble, intellectual intelligence and skills. KKNI or the Indonesian National Qualification Framework brings together, equates, and combines the field of education with the field of training and work experience and conceptually the Indonesian National Qualification Framework (KKNI) is composed of six (6) main parameters consisting of science, knowledge, know-how, skills, affection, competency. From the results of clustering analysis or grouping using the x-means algorithm it is found that the parameters of science (A), knowledge (B), skill (D), and competency (F) respondents are more likely to answer understanding and are very understanding. In the know-how parameter (C) the tendency of respondents to answer is well understood, whereas for the affection parameter (E) respondents tend to answer between understanding and quite understand but is in contrast between cluster 0 and cluster 1.
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