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All Journal VARIANSI: Journal of Statistics and Its Application on Teaching and Research
Wildan Mujahid
Department of Statistics, Universitas Negeri Makassar
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Mathematics

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PEMODELAN LAJU INFLASI DENGAN MENGGUNAKAN REGRESI NON-LINEAR BERBASIS ALGORITMA GENETIKA (Kasus: Kota-Kota di Pulau Jawa) Wildan Mujahid; Muhammad Arif Tiro; Ruliana Ruliana
VARIANSI: Journal of Statistics and Its application on Teaching and Research Vol. 4 No. 1 (2022)
Publisher : Program Studi Statistika Fakultas MIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (381.978 KB) | DOI: 10.35580/variansiunm7

Abstract

This research is applied research that uses non-linear regression on the inflation rate data and the factors that are thought to influence it. By using the RESET Test, statistics are obtained, namely the RESET value = 3.7506 with P value = 0.04138, which means that the inflation data is appropriate to use non-linear regression. From the results of this study, it was found that the average inflation rate of 26 cities in Java was 22.08% with a standard deviation of 24.33%. From the results of this study it was also found that the consumer price index (X1), city/district minimum wages (X2), and regional gross domestic product (X3) are factors that affect the inflation rate with the best model with an RMSE value of 0.445.
Co-Authors Muhammad Arif Tiro Ruliana