Pengaruh Pertumbuhan Penduduk, Pengangguran, dan Pendidikan terhadap Tingkat Kemiskinan

ismatul maulia
15 Jun 202117:52

Summary

TLDRIn this presentation, Ismatul Mulia, an accounting student, explores the influences of population growth, unemployment, and education on poverty levels in Bali from 2011 to 2017. The research highlights the complex nature of poverty, indicating that while all three factors significantly impact poverty, population growth is the most dominant. Utilizing quantitative methods and secondary data, the study reveals that education correlates negatively with poverty, emphasizing its critical role in poverty reduction. This analysis advocates for comprehensive policies to effectively address the multifaceted challenges of poverty in the region.

Takeaways

  • 😀 Ismatul Mulia, a fourth-semester accounting student, presents a journal on the impact of population growth, unemployment, and education on poverty in Bali.
  • 📖 The journal, published in 2019, is titled 'The Influence of Population Growth, Unemployment, and Education on Poverty Levels in Districts and Cities of Bali Province.'
  • 🔍 The study aims to analyze the simultaneous and partial effects of demographic factors on poverty levels from 2011 to 2017.
  • 💡 Poverty is a complex issue that encompasses economic, social, health, educational, and political dimensions, requiring comprehensive strategies for resolution.
  • 📊 The research focuses on secondary data collected from all districts and cities in Bali, highlighting disparities in poverty levels.
  • 🏛️ The Indonesian government has implemented various programs, like health insurance and educational assistance, to address poverty.
  • 🧮 Statistical analyses, including multiple linear regression, show significant relationships between population growth, unemployment, education, and poverty levels.
  • 📉 Population growth has a positive and significant impact on poverty, while education contributes negatively, indicating that higher education levels can reduce poverty.
  • 🔑 The most dominant variable affecting poverty in Bali is population growth, surpassing the influences of unemployment and education.
  • 🙏 The presentation concludes with a call for effective strategies to combat poverty and an acknowledgment of the complexities involved.

Q & A

  • What is the main focus of the journal discussed in the video?

    -The journal focuses on the influence of population growth, unemployment, and education on poverty levels in districts and cities of Bali Province.

  • What period does the research in the journal cover?

    -The research covers the period from 2011 to 2017.

  • What methodology was used in the research?

    -The research used a quantitative method with associative or causal relationships, employing secondary data collected through non-behavioral observation.

  • What were the key findings regarding population growth's impact on poverty?

    -The analysis found that population growth has a positive and significant effect on poverty levels in Bali.

  • How does education influence poverty according to the findings?

    -Education has a negative and significant effect on poverty levels, meaning that higher education levels are associated with lower poverty levels.

  • Which variable was identified as having the dominant influence on poverty in Bali?

    -Population growth was identified as the dominant variable influencing poverty levels in Bali.

  • What programs has the provincial government of Bali implemented to combat poverty?

    -Programs include Bali Mandara Health Insurance, integrated agricultural systems, scholarships for underprivileged students, and the Family Hope Program (PKH).

  • What role does unemployment play in relation to poverty in Bali?

    -Unemployment, when analyzed simultaneously with population growth and education, also has a significant impact on poverty levels.

  • What statistical tests were conducted as part of the analysis?

    -The analysis included descriptive statistical tests, multiple linear regression tests, and classical assumption tests.

  • What conclusion can be drawn about the relationship between the variables studied?

    -Overall, the study concludes that population growth, unemployment, and education significantly impact poverty levels, with population growth being the most influential.

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相关标签
Poverty ResearchBali ProvinceEducation ImpactUnemployment IssuesPopulation GrowthEconomic DevelopmentSocial IssuesStatistical AnalysisLocal GovernmentIndonesia Studies
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