The Percentage of Households that Have Access to Decent Sanitation

Oct 13, 2025 by thesweetdesigns.com 50 views

Multiple Linear Regression Methods in Modeling People's Welfare Level in North Sumatra Province in 2020

Introduction

People's welfare is a crucial benchmark in assessing the progress of a region. In today's modern era, understanding changes in the level of welfare of society becomes essential to achieve quality human resources and create synergy in society. This study aimed to examine the factors that influenced the level of people's welfare in North Sumatra Province in 2020. The study employed multiple linear regression methods to reveal the relationship between the independent variables and the dependent variable.

The Importance of People's Welfare

People's welfare is a multifaceted concept that encompasses various aspects of human life, including health, education, and economic well-being. It is an essential indicator of a region's progress and development. In North Sumatra Province, understanding the level of people's welfare is crucial to identify areas that require improvement and to develop strategies to enhance the quality of life of the community.

Methods and Data

This study used multiple linear regression methods to analyze the relationship between the independent variables and the dependent variable. The data used was secondary data obtained from the North Sumatra Province Central Statistics Agency (BPS) report. The independent variables studied included:

The Percentage of Households that Have Access to Decent Sanitation

Access to decent sanitation is an important indicator for maintaining the health and quality of life of the community. Decent sanitation facilities and infrastructure provision programs are essential to prevent the spread of diseases and to ensure the health and well-being of the community.

Percentage of Residents Who Have Health Insurance

Health insurance provides access to the public to get better health services. It is an essential factor in determining the level of people's welfare, as it ensures that individuals have access to quality healthcare services.

Average Length of School

Higher levels of education are generally associated with job opportunities and better income. The average length of school is an important indicator of the quality of education in a region. It is essential to improve the quality of education to enhance the level of people's welfare.

Dependent Variable: Level of People's Welfare in North Sumatra Province

The dependent variable to be measured is the level of people's welfare in North Sumatra Province. This variable is a composite measure that encompasses various aspects of human life, including health, education, and economic well-being.

Research Results

The results of multiple linear regression analysis show that there is a significant influence between the independent variables (sanitation access, health insurance, and the average length of school) on the dependent variable (welfare level). That is, these three factors together have an important role in determining the level of people's welfare in North Sumatra.

Region with a Low Level of Welfare

This study also found that Nias, Padang Lawas North, and South Nias Regency became a region that had a relatively low level of welfare compared to other regions in North Sumatra. This is caused by the low average length of school, access to health insurance, and the percentage of households that have access to decent sanitation in the three districts.

Recommendations and Implications

The results of this study provide several recommendations that can be used to increase the level of people's welfare in North Sumatra, especially in Nias, Padang Lawas Utara, and South Nias Regency.

Increasing Access to Decent Sanitation

Government and related stakeholders need to focus on increasing access to decent sanitation in the three districts. Adequate Sanitation Facilities and Infrastructure Provision Programs and Infrastructure need to be encouraged to ensure the health and quality of life of the community.

Increasing Access to Health Insurance

Health insurance programs such as BPJS Health need to be optimized in order to reach all residents in the three districts. Socialization and education about the benefits of health insurance also need to be done to increase community participation.

Improving the Quality of Education

The government needs to improve the quality of education in the three districts, especially in remote areas. This can be done through improving educational facilities, procurement of quality teachers, and scholarship programs to encourage children from underprivileged families to access higher education.

Conclusion

Increasing the welfare of the people is a shared responsibility. By understanding the factors that influence it, we can formulate the right strategy to achieve equitable and equitable welfare for the whole community of North Sumatra. This study provides valuable insights into the factors that influence the level of people's welfare in North Sumatra Province and offers recommendations to improve the welfare of the community.

Limitations of the Study

This study has several limitations. The data used was secondary data obtained from the North Sumatra Province Central Statistics Agency (BPS) report. The study only focused on three independent variables, which may not be comprehensive. Future studies can explore other factors that influence the level of people's welfare in North Sumatra Province.

Future Research Directions

Future studies can explore other factors that influence the level of people's welfare in North Sumatra Province. The study can also use other statistical methods, such as logistic regression or decision tree analysis, to analyze the relationship between the independent variables and the dependent variable. Additionally, the study can explore the impact of other factors, such as economic development, infrastructure, and social services, on the level of people's welfare in North Sumatra Province.

References

BPS (2020). North Sumatra Province Central Statistics Agency Report.
World Bank (2020). World Development Indicators.
United Nations (2020). Sustainable Development Goals.

Note: The references provided are fictional and for demonstration purposes only.
Frequently Asked Questions (FAQs) about Multiple Linear Regression Methods in Modeling People's Welfare Level in North Sumatra Province in 2020

Q: What is multiple linear regression?

A: Multiple linear regression is a statistical method used to analyze the relationship between a dependent variable and one or more independent variables. It is a type of regression analysis that can be used to model the relationship between a continuous outcome variable and one or more predictor variables.

Q: What is the purpose of this study?

A: The purpose of this study is to examine the factors that influence the level of people's welfare in North Sumatra Province in 2020. The study used multiple linear regression methods to analyze the relationship between the independent variables (sanitation access, health insurance, and the average length of school) and the dependent variable (welfare level).

Q: What are the independent variables studied in this research?

A: The independent variables studied in this research include:

The percentage of households that have access to decent sanitation
The percentage of residents who have health insurance
The average length of school

Q: What is the dependent variable in this study?

A: The dependent variable in this study is the level of people's welfare in North Sumatra Province.

Q: What are the results of the multiple linear regression analysis?

A: The results of the multiple linear regression analysis show that there is a significant influence between the independent variables (sanitation access, health insurance, and the average length of school) on the dependent variable (welfare level). That is, these three factors together have an important role in determining the level of people's welfare in North Sumatra.

Q: Which regions in North Sumatra Province have a low level of welfare?

A: The study found that Nias, Padang Lawas North, and South Nias Regency have a relatively low level of welfare compared to other regions in North Sumatra. This is caused by the low average length of school, access to health insurance, and the percentage of households that have access to decent sanitation in the three districts.

Q: What are the recommendations for improving the level of people's welfare in North Sumatra Province?

A: The study provides several recommendations for improving the level of people's welfare in North Sumatra Province, including:

Increasing access to decent sanitation
Increasing access to health insurance
Improving the quality of education

Q: Who is responsible for implementing the recommendations?

A: The government and related stakeholders are responsible for implementing the recommendations to improve the level of people's welfare in North Sumatra Province.

Q: What are the limitations of this study?

A: The study has several limitations, including:

The data used was secondary data obtained from the North Sumatra Province Central Statistics Agency (BPS) report
The study only focused on three independent variables
The study did not explore other factors that may influence the level of people's welfare in North Sumatra Province

Q: What are the future research directions?

A: Future studies can explore other factors that influence the level of people's welfare in North Sumatra Province, use other statistical methods, and explore the impact of other factors, such as economic development, infrastructure, and social services, on the level of people's welfare in North Sumatra Province.

Q: What are the implications of this study?

A: The study provides valuable insights into the factors that influence the level of people's welfare in North Sumatra Province and offers recommendations to improve the welfare of the community. The study has implications for policymakers, practitioners, and researchers who are interested in improving the welfare of the community in North Sumatra Province.