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Analytics

Titi Resnawati Nazara; Ni Putu Martini Dewi

International Journal of Management Science and Business 2025 International Forum of Researchers and Lecturers

Poverty is a complex and multidimensional problem. It can be characterized as a condition in which there is a lack of aspects related to the quality of life. North Sumatra Province is known as one of the richest provinces in Indonesia with abundant natural resources and agricultural products such as petroleum, natural gas, palm oil, rubber, and forest products used as industrial materials. However, it still ranks among the provinces with the highest poverty rates in Indonesia. This study aims to analyze the effect of unemployment rate, economic growth, and Human Development Index (HDI) on poverty in 14 districts/cities of North Sumatra Province during the 2016–2023 period. The analytical method used is panel data regression with the Fixed Effect Model (FEM) approach. The results of this study indicate that simultaneously, the three independent variables have a significant effect on poverty. Partially, unemployment has a positive and significant effect, while economic growth and HDI have no significant effect on poverty.

Risma Ma’rifatul Ulumi; Zainal Abidin; Alivia Salsabila; Dhima Eva Mariana

Jurnal Manajemen dan Ekonomi Bisnis 2023 Pusat Riset dan Inovasi Nasional

Poverty is a serious problem that is always faced by a country that must be overcome immediately. In addition to being a problem, poverty is also a benchmark for socioeconomic conditions in measuring the success of development carried out by the government in a region / region. On the other hand, the Human Development Index (HDI) is one of the important indicators to measure success in efforts to build the quality of human life, and has an important impact on economic growth. Economic growth is the spearhead considering the correlation between HDI and poverty. This research was conducted to determine the influence of the human development index variable and poverty as the independent variable on economic growth in East Java as the dependent variable. The analysis used is quantitative analysis with multiple regression analysis methods in data with 2021 data and cross section data from 37 districts/cities in East Java and the conclusion is that all the independent variables used in this research have a significant effect on the amount of economic growth in East Java. either simultaneously or partially.

Ramdhani, Novita; Anggraeni, Yulia; Desmawan, Deris

Jurnal Ekonomi, Bisnis dan Manajemen (EBISMEN) 2022 FEB Universitas Maritim Semarang

Based on the fundamental aspects of people's living standards, the measure of progress in human development is called the Human Development Index. As the basis for the development structure of a region, the Human Development Index (HDI) is the most significant benchmark or parameter. The purpose of this study is undoubtedly to ascertain whether poverty in DKI Jakarta Province is influenced by the Human Development Index (IPM) variable. To achieve the research objectives, tests were conducted using simple regression analysis and quantitative techniques. The test results show that poverty in DKI Jakarta Province is significantly affected by the Human Development Index (HDI) because the significance value is less than 0.05. Because the value of determination, or R2, is close to 1, and some of the other influence values are influenced by other variables that have not been analyzed or researched, the value of the results of the Variable Human Development Index (HDI) test has a strong positive influence on poverty in DKI Jakarta Province.  

Pasaribu, Sanjiwan; Jalil Akbar, Abdul; Desmawan, Deris

Jurnal Ekonomi, Bisnis dan Manajemen (EBISMEN) 2022 FEB Universitas Maritim Semarang

The problem that almost every developing country faces is poverty, and Indonesia is no exception. The root of the problem of poverty is that people cannot live properly. This has an impact on the quality of human resources, thereby reducing productivity and lowering the income of the community itself. Community income, unemployment, health, education and environmental conditions are factors that influence the occurrence of poverty problems. The poverty rate in North Sumatra is still relatively high compared to other regions, but North Sumatra is not included in the 10 poorest areas in Indonesia. Analyzing the effect of HDI on poverty is the aim of this study. This study uses simple regression for the research method and is processed using the help of SPSS 26 software. Through this study it can be seen that HDI has a significant effect on poverty in North Sumatra.