Student Activities Recommendations to Achieve First Job Waiting Time Target of Graduates in Telkom University: Decision Tree Approach

M. Rifansyah, A. Kurniawati, Nurdinitya Athari Supratman,
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Abstract

The first job search time is one of the measurement values of a university, an "A" accredited university if the average time for a student's job search is less than three months. According to the Telkom University tracer study in 2016-2018, there was a significant increase of students who experience the first job search time for more than three months from 18% up to 54%. The purpose of this study is to classify which students will have the potential to experience the first job search time for more than three months based on tracer study, history of organization type, position, Grade Point Average (GPA), and remaining semester credit units. With the results of using the classification process with decision tree C5.0 algorithm, the model has accuracy 54.7% with three attributes that are considered, GPA, study period, and participating in educational/reasoning/arts organizations. This helps Telkom University in monitoring students who are indicated to be experiencing a short or long first job waiting time. Therefore, Telkom University can provide specific activity recommendations for students, based on their GPA, remaining semester credits, and organizational activities. For further research, it can be more variables can be added to develop a model with higher accuracy.
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实现电信大学毕业生第一份工作等待时间目标的学生活动建议:决策树方法
第一次找工作的时间是衡量一所大学的价值之一,如果学生找工作的平均时间少于三个月,则被评为“a”级大学。根据电信大学2016-2018年的跟踪研究,首次找工作时间超过三个月的学生人数从18%大幅增加到54%。本研究的目的是根据示踪研究、组织类型的历史、职位、平均绩点(GPA)和剩余学期学分,对有可能经历首次求职时间超过三个月的学生进行分类。使用决策树C5.0算法分类过程的结果表明,该模型在考虑GPA、学习时间和参与教育/推理/艺术组织三个属性的情况下,准确率达到54.7%。这有助于电信大学监控那些被指示经历短或长的第一份工作等待时间的学生。因此,Telkom大学可以根据学生的GPA,剩余学期学分和组织活动为学生提供具体的活动建议。为了进一步的研究,可以增加更多的变量来建立一个更高精度的模型。
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