基于SWRL和SAW方法的人才兴趣选择决策支持系统

D. Wardani, Ryhannul Jannah, Haryono Setiadi
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引用次数: 2

摘要

那些在大学主修的学生如果不遵循自己的兴趣,将很难适应。从心理上讲,学习不符合你兴趣和能力的东西会导致情绪障碍,从而阻碍大脑的有效表现。这个问题会对学习动机的抑制和学业成绩的实现产生影响。为了避免这些问题,对职业兴趣的诊断,包括兴趣和需要,作为进一步研究规划干预措施的初始过程,以支持个人的职业决策。因此,本研究采用人才兴趣测试的方法构建了一个决策支持系统,帮助用户找到适合自己兴趣和能力的大学专业。本研究采用SAW方法和SWRL推理。本研究结果表明,在“人才兴趣法”的院系选择决策支持系统中实施该方法,可以提供一个符合本科生候选人兴趣的替代方案,其兼容性水平为同意(95.31%)和不同意(4.69%)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Major choosing decision support system with talent interest approach using SWRL and SAW method
Students who are majoring in college that are not following their interests will have difficulty in adapting. Psychologically, to learn things that are not by your interests and abilities will lead to emotion blockage, which then blocks the effectiveness of brain performance. This issue will have an impact on the inhibition of learning motivation and achievement of academic performance. To avoid these problems, a diagnosis of career interests, including interests and needs to be done as an initial process of further study planning interventions to support career decisions making in individuals. Therefore, this research builds a Decision Support System with the Talent Interest Test approach to help users find college majors that suit their interests and abilities. This study uses the SAW method and SWRL reasoning. The results of this study indicate that the implementation of this approach in a Department Selection Decision Support System with Talent Interest Approach can provide an alternative that is in line with the interest of undergraduate student candidates with the compatibility level of Agree (95.31%) and Disagree (4.69%).
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