PEMODELAN LAJU INFLASI DENGAN MENGGUNAKAN REGRESI NON-LINEAR BERBASIS ALGORITMA GENETIKA (Kasus: Kota-Kota di Pulau Jawa)
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 …
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 …
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