Trend Analysis Comparison of Forecasts For New Student

Authors

  • Yudihartanti Y Department of Information System, College of Informatics and Computer Management Banjarbaru, Indonesia

Keywords:

Prediction, Forecast, Comparison, Trend Analysis

Abstract

The number of new students who register annually less stable, increasing and decreasing. This has caused difficulties in the adjustment including adjustment of the number of classrooms and lecturers that will impact on the ratio of lecturers. Thus the need to do forecasting or prediction of the number of new students each year. To get the most precise predictions in this study used four methods on Trend Analysis namely methods of semi on average, the least squares method, the method of quadratic trend, exponential trend method, which will be compared to determine the method with the smallest error rate.

References

Santoso, B., “Comparative Analysis of Algorithms Naïve Bayes and C4.5 for Prediction Student Registration at the Dian Nuswantoro University”, Department of Computer Science, Journal of Dian Nuswantoro University, Page No. (1-4), 2015.

Rahanimi, “Forecasting Number of Students Apply search was interest and ability of the Department of Mathematics Automatic Clustering Method Using Fuzzy Logic And Relationships (Case Study at the Institute of Technology Surabaya)”, ITS Undergraduate Paper 13455, Page No. (1-3), Dec 2013.

Abdullah, M. F., “Methods of Use Automatic Clustering and Fuzzy Logical Relationship To Predict Number of New Students Bogor Agricultural Institute”, Departement of Mathematics dan Natural Science Bogor Agricultural Institute, Bogor, 2015.

Arpit Baheti and Durga Toshniwal, “Trend Analysis of Time Series Data Using Data Mining Techniques”, IEEE International Congress on Big Data, 2014, pp.430-437.

Suharyadi, and Purwanto, “Statistics: For Economics & Finance Modern Book 1”, Four Salemba Publisher, First Edition-2003, ISBN: 979-691-162-0.

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Published

2025-11-11

How to Cite

[1]
Y. Yudihartanti, “Trend Analysis Comparison of Forecasts For New Student”, Int. J. Comp. Sci. Eng., vol. 4, no. 4, pp. 145–148, Nov. 2025.

Issue

Vol. 4 No. 4 (2016): IJCSE April Edition

Section

Research Article

License

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