Understanding the Poverty through the Development of Unemployment and Illiteracy Rates

Fernando saragih; Anggita Vanesa Liunima; Markus U.K Yewang; Indra M Pratama; Emilia Gie; Julio Ardilo Benu; Jibrael Mau; Elviani Adelia Detha; Marghenete Nedelin Snae

doi:10.24036/011335350

Understanding the Poverty through the Development of Unemployment and Illiteracy Rates

Fernando saragih⁽¹⁾, Anggita Vanesa Liunima⁽²⁾, Markus U.K Yewang⁽³⁾, Indra M Pratama⁽⁴⁾, Emilia Gie⁽⁵⁾, Julio Ardilo Benu⁽⁶⁾, Jibrael Mau⁽⁷⁾, Elviani Adelia Detha⁽⁸⁾, Marghenete Nedelin Snae⁽⁹⁾,
(1) Faculty of Teacher Training and Education, Universitas Nusa Cendana, Indonesia

Indonesia
(2) Faculty of Teacher Training and Education, Universitas Nusa Cendana, Indonesia

Indonesia
(3) Faculty of Teacher Training and Education, Universitas Nusa Cendana, Indonesia

Indonesia
(4) Faculty of Economics and Business, Universitas PGRI Sumatera Barat, Indonesia

Indonesia
(5) Faculty of Social and Political Sciences, Universitas Nusa Cendana, Indonesia

Indonesia
(6) Faculty of Social and Political Sciences, Universitas Nusa Cendana, Indonesia

Indonesia
(7) Faculty of Teacher Training and Education, Universitas Nusa Cendana, Indonesia

Indonesia
(8) Faculty of Teacher Training and Education, Universitas Nusa Cendana, Indonesia

Indonesia
(9) Faculty of Teacher Training and Education, Universitas Nusa Cendana, Indonesia

Indonesia

Corresponding Author

DOI : https://doi.org/10.24036/011335350

Full Text:

Language : en

Abstract

Poverty is a profound issue affecting various regions, with its impacts observable through domino effects such as low human resource (HR) quality, declining welfare, and regional underdevelopment. This study aims to analyze the factors influencing poverty levels, specifically unemployment and education. East Nusa Tenggara (NTT) was chosen as the research location due to its status as one of the poorest provinces in Indonesia. The study employs a survey method with a quantitative approach and applies multiple linear regression analysis. Before conducting the analysis, all prerequisite tests were met. The secondary data used include literacy rates, unemployment levels, and poverty rates from 2014 to 2021, obtained from the Central Statistics Agency (BPS). The analysis results indicate that literacy rates and unemployment have a positive and significant impact on poverty levels. Additionally, the F-test results show that both independent variables, literacy rates and unemployment, have a simultaneous and significant effect on poverty levels

Keywords

Poverty, Unemployment, Illiteracy Rate, Economy

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