ANALYSIS OF CHANGE PRICE ON CUMULATIVE INFLATION USING LINEAR REGRESSION

Authors

  • Yunita Sartika Sari Faculty of Computer Science, Mercu Buana University, Indonesia.

Keywords:

Big Data, Regression, Classification, Clothing

Abstract

In this digital era, all data is easily accessed, stored, traced, and even analyzed. Big Data is not just a trend popularized by exclusive circles, but is a marker of a paradigm shift to understanding social processes. Referring to the big benefits that Big Data technology can offer, it is interesting to see the extent to which Big Data technology has been utilized in Indonesia, for example in government agencies, and what challenges arise in its application. There are 7 groups of expenditure of goods and services based on the Classification of individual consumption by purpose, one of which is the clothing group. This study aims to determine the correlation between changes in clothing prices to inflation. The method used in this study is linear regression.

References

Triana, Yaya Sudarya, Astari Retnowardhani. Enhance Interval Width of Crime Forcasting with ARIMA model-fuzzy alpha cut. Telkomnika. Vol 17 No 3. 2019

Nia Rahma Kurnianda & Yunita Sartika Sari. Analysis and Design of Information System for Self-Journal on Food Based Dietary Assessment Record for Diabetes Patients. International Research Journal of Computer Science (IRJCS). Volume 06 Issue 5. 2018

Ranggadara, Indra & Suhendra "Naive Bayes Algorithm with Chi Square and NGram Feature for Reviewing Laptop Product on Amazon Site.".IRJCS, Vol 7, issue 2.2018

William H. Kruskal and Judith M. Tanur, ed. "Linear Hypotheses," International Encyclopedia of Statistics. Free Press.1982

Lindley, D.V. (1987). "Regression and correlation analysis," New Palgrave: A Dictionary of Economics, v. 4, pp. 120–23.

Birkes, David and Yadolah Dodge, Alternative Methods of Regression. ISBN 0-471-56881-3

Corder, G.W. and Foreman, D.I. (2009).Nonparametric Statistics for Non-Statisticians: A Step-by-Step Approach Wiley, ISBN 978-0-470-45461-9

Draper, N.R. and Smith, H. (1998).Applied Regression Analysis Wiley Series in Probability and Statistics

Fox, J. (2017). Applied Regression Analysis, Linear Models and Related Methods. Sage

Hardle, W., Applied Nonparametric Regression (1990), ISBN 0-521-42950-1

Meade, N. and T. Islam (1995) "Prediction Intervals for Growth Curve Forecasts," Journal of Forecasting, 14, pp. 413–430.

Witten, H.Ian, Eibe, F. and Mark, H., 2011. Data Mining Practical Mechine Learning Tools and Techniques Third Edition (3rd Ed.). Elsevier Inc

Additional Files

Published

30-04-2020

How to Cite

Yunita Sartika Sari. (2020). ANALYSIS OF CHANGE PRICE ON CUMULATIVE INFLATION USING LINEAR REGRESSION . International Educational Journal of Science and Engineering, 3(2). Retrieved from https://iejse.com/journals/index.php/iejse/article/view/43

Most read articles by the same author(s)