The Application Of The Wilcoxon Test In Determining The Significant Differences In The Number Of Beneficiary Families (KPM) Between 2019 And 2020 In North Sumatra
The Application of the Wilcoxon Test in Determining the Significant Differences in the Number of Beneficiary Families (KPM) between 2019 and 2020 in North Sumatra
Introduction
The COVID-19 pandemic has had a significant impact on various sectors in Indonesia, including the economy. This condition has caused instability in community income, even decreased, thus triggering an increase in the number of beneficiary families (KPM) in 2020. The purpose of this study is to analyze the significant difference between the number of KPM in 2019 and 2020 in North Sumatra using the Wilcoxon test.
Background
The COVID-19 pandemic has had a profound impact on the economy of Indonesia, including the province of North Sumatra. The pandemic has caused a significant decrease in community income, leading to an increase in the number of families who need social assistance. The number of beneficiary families (KPM) in North Sumatra has increased significantly in 2020 compared to 2019.
Methodology
This study used the Wilcoxon test to analyze the significant difference between the number of KPM in 2019 and 2020 in North Sumatra. The Wilcoxon test is a non-parametric test used to compare two independent samples. The test is used to determine whether there is a significant difference between the two samples.
Results
The results of the Wilcoxon test show that the value of Z count is -4.42, while the Z table value with a significance level of 0.05 is 1.96. Because the value of z count is smaller than z table, the zero hypothesis (Ho) is accepted. This means that there is a significant difference between the number of KPM in 2019 and 2020 in North Sumatra.
Discussion
The increase in the number of KPM in North Sumatra reflects the economic difficulties faced by the public due to the COVID-19 pandemic. Decreased income, job loss, and difficulty accessing health services are several factors that contribute to increasing poverty and the need for social assistance. The results of this study show that the number of KPM in 2020 (769,342) is significantly higher than in 2019 (670,760). This indicates that the COVID-19 pandemic has had a significant impact on increasing the number of families who need social assistance in North Sumatra.
Further Analysis
The increase in the number of KPM in North Sumatra is a reflection of the economic difficulties faced by the public due to the COVID-19 pandemic. The pandemic has caused a significant decrease in community income, leading to an increase in the number of families who need social assistance. The results of this study show that the number of KPM in 2020 is significantly higher than in 2019, indicating that the pandemic has had a significant impact on increasing the number of families who need social assistance in North Sumatra.
Recommendation
The government needs to improve social assistance programs and strengthen the social protection system to overcome the impact of the COVID-19 pandemic on the economy of the community. These programs must be designed effectively and directed to reach community groups who need assistance. In addition, the government must also encourage economic recovery by creating new jobs and increasing access to business capital for affected people.
Conclusion
This study provides important information to understand the impact of the COVID-19 pandemic on the people of North Sumatra and can be the basis for the government to formulate appropriate policies in overcoming the social and economic impacts of the pandemic. The results of this study show that the number of KPM in 2020 is significantly higher than in 2019, indicating that the pandemic has had a significant impact on increasing the number of families who need social assistance in North Sumatra.
Limitation
This study has several limitations. The study only analyzed the data from North Sumatra and did not consider the data from other provinces in Indonesia. In addition, the study only used the Wilcoxon test to analyze the significant difference between the number of KPM in 2019 and 2020.
Future Research
Future research can build on the findings of this study by analyzing the data from other provinces in Indonesia. In addition, future research can use other statistical tests to analyze the significant difference between the number of KPM in 2019 and 2020.
References
- [1] World Health Organization. (2020). COVID-19 pandemic.
- [2] Indonesian Ministry of Health. (2020). COVID-19 pandemic in Indonesia.
- [3] Indonesian Ministry of Social Affairs. (2020). Number of beneficiary families (KPM) in Indonesia.
Appendix
The appendix includes the data used in this study, including the number of KPM in 2019 and 2020 in North Sumatra.
Frequently Asked Questions (FAQs) about the Wilcoxon Test and its Application in Determining the Significant Differences in the Number of Beneficiary Families (KPM) between 2019 and 2020 in North Sumatra
Q: What is the Wilcoxon test?
A: The Wilcoxon test is a non-parametric test used to compare two independent samples. It is used to determine whether there is a significant difference between the two samples.
Q: Why was the Wilcoxon test used in this study?
A: The Wilcoxon test was used in this study because it is a suitable test for comparing two independent samples, and it does not require the data to be normally distributed.
Q: What is the significance level of the Wilcoxon test?
A: The significance level of the Wilcoxon test used in this study is 0.05. This means that if the p-value is less than 0.05, the null hypothesis is rejected, and there is a significant difference between the two samples.
Q: What is the null hypothesis (Ho) in this study?
A: The null hypothesis (Ho) in this study is that there is no significant difference between the number of KPM in 2019 and 2020 in North Sumatra.
Q: What is the alternative hypothesis (Ha) in this study?
A: The alternative hypothesis (Ha) in this study is that there is a significant difference between the number of KPM in 2019 and 2020 in North Sumatra.
Q: What is the result of the Wilcoxon test in this study?
A: The result of the Wilcoxon test in this study shows that the value of Z count is -4.42, while the Z table value with a significance level of 0.05 is 1.96. Because the value of z count is smaller than z table, the null hypothesis (Ho) is accepted, and there is a significant difference between the number of KPM in 2019 and 2020 in North Sumatra.
Q: What does the result of the Wilcoxon test mean?
A: The result of the Wilcoxon test means that there is a significant difference between the number of KPM in 2019 and 2020 in North Sumatra. The number of KPM in 2020 (769,342) is significantly higher than in 2019 (670,760).
Q: What are the implications of the result of the Wilcoxon test?
A: The implications of the result of the Wilcoxon test are that the COVID-19 pandemic has had a significant impact on increasing the number of families who need social assistance in North Sumatra. The government needs to improve social assistance programs and strengthen the social protection system to overcome the impact of the pandemic on the economy of the community.
Q: What are the limitations of this study?
A: The limitations of this study are that it only analyzed the data from North Sumatra and did not consider the data from other provinces in Indonesia. In addition, the study only used the Wilcoxon test to analyze the significant difference between the number of KPM in 2019 and 2020.
Q: What are the future research directions?
A: Future research can build on the findings of this study by analyzing the data from other provinces in Indonesia. In addition, future research can use other statistical tests to analyze the significant difference between the number of KPM in 2019 and 2020.
Q: What are the practical implications of this study?
A: The practical implications of this study are that the government needs to improve social assistance programs and strengthen the social protection system to overcome the impact of the pandemic on the economy of the community. The government also needs to encourage economic recovery by creating new jobs and increasing access to business capital for affected people.