Optimization of Higher Education Internal Quality Audits Based on Artificial Intelligence

Relita Buaton, Zarlis Muhammad, Elviwani, Ami Dilham
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Abstract

Internal Quality Audit is an independent and documented systematic testing process to ensure that the implementation of activities in higher education is in accordance with the procedures and the results are in accordance with the standards to achieve the goals of the institution. Quality can be guaranteed by ensuring that each individual has the skills he needs to do the job properly. Quality orientation in development life in Indonesia is something that is very urgent, must be supported and developed in order to respond to the trend of global competition. There are significant differences in the accreditation and quality assurance system with the previous version, it is necessary to develop a strategy by building an artificial intelligence-based system. The method used is to build an online system by involving experts and assessors to develop concepts in accordance with the points of the 9 criteria accreditation forms, to build a digital quality audit form for matching and the level of conformity between the implementation of higher education standards and the standards set, the benefit is to help universities implement digital and intelligent based internal quality audits, know the tri dharma standards of higher education that must be improved, maintained and deviated
基于人工智能的高等教育内部质量审计优化
内部质量审计是一个独立的、有文件记录的系统测试过程,以确保高等教育活动的实施符合程序,结果符合标准,以实现院校的目标。通过确保每个人都具备正确完成工作所需的技能,可以保证质量。印度尼西亚发展生活中的质量导向是非常紧迫的,必须得到支持和发展,以应对全球竞争的趋势。认证和质量保证体系与前一版本存在显著差异,有必要通过构建基于人工智能的系统来制定策略。所采用的方法是建立一个在线系统,由专家和评估人员根据9个标准认证表格的要点制定概念,建立一个数字质量审计表格,用于高等教育标准实施与标准设定之间的匹配和符合性,其好处是帮助大学实施基于数字和智能的内部质量审计。了解高等教育的三法标准,必须改进,保持和偏离
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