The Meaning of Research Results

Oct 13, 2025 by wbrum.org 23 views

Introduction

The socioeconomic condition of an area reflects the level of economic progress. Inflation, as one of the determinants of economic conditions, is measured through the Consumer Price Index (CPI). Changes in CPI from time to time show the rate of increase (inflation) or declaration (deflation) of the prices of goods and services needed daily by the household. The Consumer Price Index (CPI) is a crucial indicator of economic conditions, and its analysis is essential for policymakers to make informed decisions.

Background

This study aims to analyze the differences in inflation rates between Sibolga City and Pematangsiantar City using the Wilcoxon test. The Wilcoxon test is a non-parametric test that is suitable for analyzing ordinal data or data that is not normally distributed. The CPI data of Sibolga City and Pematangsiantar City for the period 2017-2021 was used in this study.

Methodology

The Wilcoxon test was chosen because CPI data is not always normally distributed, so parametric tests such as the T test cannot be applied. The Wilcoxon test is a non-parametric test that is suitable for analyzing ordinal data or data that is not normally distributed. The data used in this study was obtained from the official website of the Central Bureau of Statistics (BPS) of Indonesia.

Results

The results of this study showed that there was no significant difference between CPI Sibolga City and Pematangsiantar City during the 2017-2021 period. This indicates that the inflation rate in both cities tends to be the same.

Discussion

The results of this study indicate that the factors that influence inflation in both cities tend to be similar, such as the dynamics of demand and supply, as well as government economic policies. This suggests that the economic policies implemented by the government have a significant impact on the inflation rate in both cities.

Why Wilcoxon Test?

The Meaning of Research Results

The results of this study indicate that the inflation rate in Sibolga City and Pematangsiantar City tends to be the same during the 2017-2021 period. This can indicate that the factors that influence inflation in both cities tend to be similar, such as the dynamics of demand and supply, as well as government economic policies.

Implications and Suggestions

This study has several implications and suggestions:

First, the results of this study can be a reference for local governments in formulating the right economic policy to control inflation.
Second, this research can be the basis for conducting further research on the factors that influence inflation in both cities.
Third, further research needs to be done to analyze differences in inflation in both cities for a longer period and taking into account other factors such as income level, economic structure, and fiscal policy.

Conclusion

Wilcoxon test shows that there is no significant difference between CPI Sibolga City and Pematangsiantar City in the 2017-2021 period. This indicates that the inflation rate in both cities tends to be the same. Further research needs to be done to understand the factors that influence inflation in both cities and formulate effective policies to control inflation.

Recommendations

Based on the results of this study, the following recommendations are made:

Local governments should formulate economic policies that take into account the factors that influence inflation in both cities.
Further research should be conducted to analyze differences in inflation in both cities for a longer period and taking into account other factors such as income level, economic structure, and fiscal policy.
Policymakers should consider the results of this study when making decisions related to economic policies.

Limitations

This study has several limitations:

Data availability: The data used in this study was obtained from the official website of the Central Bureau of Statistics (BPS) of Indonesia, which may not be up-to-date or accurate.
Sample size: The sample size used in this study was limited to the CPI data of Sibolga City and Pematangsiantar City for the period 2017-2021.
Methodology: The Wilcoxon test was used in this study, which may not be the most suitable test for analyzing CPI data.

Future Research Directions

Based on the results of this study, the following future research directions are suggested:

Analyzing differences in inflation in both cities for a longer period and taking into account other factors such as income level, economic structure, and fiscal policy.
Conducting further research on the factors that influence inflation in both cities.
Developing economic policies that take into account the factors that influence inflation in both cities.

References

Central Bureau of Statistics (BPS) of Indonesia. (2020). Consumer Price Index (CPI) Data.
Wilcoxon, F. (1945). Individual comparisons by ranking methods. Biometrics Bulletin, 1(6), 80-83.

Appendix

The appendix includes the following:

Table 1: CPI data of Sibolga City and Pematangsiantar City for the period 2017-2021.
Table 2: Results of the Wilcoxon test.
Figure 1: Graph showing the CPI data of Sibolga City and Pematangsiantar City for the period 2017-2021.
Frequently Asked Questions (FAQs) about Wilcoxon Test on Consumer Price Index (CPI) of Sibolga City and Pematangsiantar City

Q: What is the Wilcoxon test?

A: The Wilcoxon test is a non-parametric test that is used to compare two related samples or repeated measurements on a single sample to assess whether their population mean ranks differ. It is a suitable test for analyzing ordinal data or data that is not normally distributed.

Q: Why was the Wilcoxon test used in this study?

A: The Wilcoxon test was used in this study because CPI data is not always normally distributed, so parametric tests such as the T test cannot be applied. The Wilcoxon test is a non-parametric test that is suitable for analyzing ordinal data or data that is not normally distributed.

Q: What are the implications of the results of this study?

A: The results of this study indicate that the inflation rate in Sibolga City and Pematangsiantar City tends to be the same during the 2017-2021 period. This can indicate that the factors that influence inflation in both cities tend to be similar, such as the dynamics of demand and supply, as well as government economic policies.

Q: What are the limitations of this study?

A: This study has several limitations:

Data availability: The data used in this study was obtained from the official website of the Central Bureau of Statistics (BPS) of Indonesia, which may not be up-to-date or accurate.
Sample size: The sample size used in this study was limited to the CPI data of Sibolga City and Pematangsiantar City for the period 2017-2021.
Methodology: The Wilcoxon test was used in this study, which may not be the most suitable test for analyzing CPI data.

Q: What are the future research directions based on the results of this study?

A: Based on the results of this study, the following future research directions are suggested:

Analyzing differences in inflation in both cities for a longer period and taking into account other factors such as income level, economic structure, and fiscal policy.
Conducting further research on the factors that influence inflation in both cities.
Developing economic policies that take into account the factors that influence inflation in both cities.

Q: What are the recommendations based on the results of this study?

A: Based on the results of this study, the following recommendations are made:

Local governments should formulate economic policies that take into account the factors that influence inflation in both cities.
Further research should be conducted to analyze differences in inflation in both cities for a longer period and taking into account other factors such as income level, economic structure, and fiscal policy.
Policymakers should consider the results of this study when making decisions related to economic policies.

Q: What are the references used in this study?

A: The references used in this study are:

Central Bureau of Statistics (BPS) of Indonesia. (2020). Consumer Price Index (CPI) Data.
Wilcoxon, F. (1945). Individual comparisons by ranking methods. Biometrics Bulletin, 1(6), 80-83.

Q: What is the appendix of this study?

A: The appendix of this study includes the following:

Table 1: CPI data of Sibolga City and Pematangsiantar City for the period 2017-2021.
Table 2: Results of the Wilcoxon test.
Figure 1: Graph showing the CPI data of Sibolga City and Pematangsiantar City for the period 2017-2021.