Prediction of the Number of Graduates Absorption by the Field of Expertise

Ida Farida, Guruh Taufan Hariyadi, Aries Setiawan
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Abstract

The study program accreditation process also includes reporting forms filled in with the number of graduates working according to their field of expertise. A low conformity rate will indicate a lack of training and skills for graduates. If the conformity rate is high, it will affect the results of accreditation to increase and make the level of public trust in the study program higher, as well as from the perspective of graduate staff users. The study program needs to know the data of its graduates earlier as a step to increase the compatibility rate of the field of work with the field of lectures for its graduates. These problems can be minimized by carrying out a prediction process on the suitability of graduate fields. The variable used to predict is a data series of the number of graduates working in the right field over a certain period of time. The use of linear regression for predictions in the case of determining the exact field really helps make it easier for study programs to help predict the number of students who graduate by working in the right field. This study uses a linear regression method.
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专业领域毕业生吸收人数的预测
学习项目认证过程还包括根据专业领域填写的毕业生人数报告表。低符合率将表明毕业生缺乏培训和技能。如果符合率高,将影响认证结果的增加,并使公众对研究项目的信任度更高,以及从研究生工作人员用户的角度来看。该研究项目需要尽早了解毕业生的数据,以提高工作领域与毕业生讲座领域的兼容性。这些问题可以通过对研究生领域的适用性进行预测来最小化。用于预测的变量是一段时间内在合适领域工作的毕业生数量的数据序列。在确定确切领域的情况下,使用线性回归进行预测确实有助于使学习计划更容易预测在正确领域工作的毕业生人数。本研究采用线性回归方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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审稿时长
6 weeks
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