Prediction of New Student Numbers using Least Square Method

D. Mulyani
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引用次数: 9

Abstract

STMIK BANJARBARU has acquired less number of new students for the last three years compared to the previous years. The numbers of new student acquisition are not always the same every year. The unstable number of new student acquisition made the difficulty in designing classes, lecturers, and other charges. Knowing the prediction number of new student acquisition for the coming period is very important as a basis for further decision making. Least Square method as the method of calculation to determine the scores prediction is often used to have a prediction, because the calculation is more accurate then moving average. The study was aimed to help the private colleges or universities, especially STMIK BANJARBARU, in predicting the number of new students who are accepted, so it will be easier to make decisions in determining the next steps and estimating the financial matters. The prediction of the number of new student acquisition will facilitates STMIK BANJARBARU to determine the number of classes, scheduling, etc. From the results of the study, it can be concluded that prediction analysis by using Least Square Method can be used to predict the number of new students acquisition for the coming period based on the student data in the previous years, because it produces valid results or closer to the truth. From the test results in the last 3 years, the validity shows 97.8%, so it can be said valid.
用最小二乘法预测新生人数
与前几年相比,STMIK BANJARBARU在过去三年中获得的新生数量有所减少。每年招收的新学生数量并不总是相同的。新学生数量的不稳定使得设计课程、讲师和其他收费变得困难。了解未来一段时间的新学生获取预测数量作为进一步决策的基础是非常重要的。最小二乘法作为确定预测分数的计算方法,经常被用来进行预测,因为其计算比移动平均法更准确。该研究旨在帮助私立学院或大学,特别是STMIK BANJARBARU,预测被录取的新生数量,以便在确定下一步和估计财务问题时更容易做出决定。对新学生获取数量的预测将有助于STMIK BANJARBARU确定班级数量,日程安排等。从研究结果可以看出,使用最小二乘法的预测分析可以根据往年的学生数据来预测未来一段时间的新学生获取数量,因为它产生的结果有效或更接近事实。从近3年的测试结果来看,效度为97.8%,可以说是有效的。
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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