Skip to content
Research Article Open access CC BY 4.0

Estimation of New Student Admissions Using the Moving Average Method

Rina Candra Noor Santi, Sri Eniyati, . Sugiyamta, Santi, Rina Candra Noor

Asian Journal of Research in Computer Science · pp. 212–217 · Published 17 Dec 2022

10.9734/ajrcos/2022/v14i4305

Abstract

Acceptance of new students at several tertiary institutions, both public and private, will affect the learning and teaching process at these tertiary institutions. Because knowing the number of new students accepted is one way that can be used in determining the teaching and learning process. This study aims to predict the number of new students for the coming year with the Moving Average method and calculate the absolute mean error rate for this type of data analysis. This method is applied to one of the private universities in Indonesia. To know the prediction of the number of new students every year, or to find out the estimated number of new students for the coming year. The data used is the previous 7 years at one of the Indonesian private universities. The results of this study are expected to be able to assist these tertiary institutions in planning a good teaching and learning process, because the number of new students will affect the number of existing lecturer ratios.

Estimation moving average new students mean absolute error

Cited by 0

No indexed citations yet.

Article metrics

Real usage data collected on this platform.

5

Page views

0

PDF downloads

0

Outbound clicks

0

Citations

Views over time

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

Traffic sources

Referring site, by host.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.