Parents’ Sum of Salaries Analyses towards School Tuition Fee Arrears Potential with Decision Tree Method

I. D. Iskandar
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引用次数: 2

Abstract

School tuition fee is typically used for funding school operational, i.e. paying honorary teachers in public and private schools, purchasing practical instruments, printing examination worksheets, and other net-operational costs. According to the discovered data in the research environment, the funding is unable to be acquired properly due to students’ school tuition fees arrears for months even years until they graduate. Considering the condition, this research is conducted to identify the potential of students’ school tuition arrears, based on the sum of their parents’ salaries centered on the business intelligence approach, using the decision tree method. The analysis results show that, students whose parents’ income is less than Rp 672.500,00 will be potentially in arrears with school tuition more than  Rp 900.000,00 each month, while students whose parents’ income is above Rp 672.500,00 are potentially in arrears of less than Rp 900.000,00 or not in arrears. To evaluate the effectiveness of the decision tree algorithm for data processing, it has an accuracy value of 95.97%, with a precision of 94.96% that means the algorithm has a good correlation based on attributes and the data that have been processed by the algorithm.
家长工资总额对学校学费拖欠可能性的决策树分析
学校的学费通常用于资助学校的运营,即支付公立和私立学校的荣誉教师,购买实用仪器,打印考试作业和其他净运营成本。根据在研究环境中发现的数据,由于学生拖欠学校学费数月甚至数年,直到他们毕业,资金无法正常获得。考虑到这种情况,本研究以商业智能方法为中心,采用决策树方法,以家长工资总和为基础,识别学生拖欠学费的可能性。分析结果表明,父母收入低于67250万卢比的学生每月可能拖欠90万卢比以上的学费,而父母收入高于67250万卢比的学生每月可能拖欠90万卢比以下或不拖欠学费。为了评价决策树算法对数据处理的有效性,其准确率值为95.97%,准确率为94.96%,说明该算法基于属性与算法处理过的数据具有良好的相关性。
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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