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Journal articles on the topic 'Number of Poor Population'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

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1

Student. "POOR KIDS." Pediatrics 83, no. 4 (1989): A72. http://dx.doi.org/10.1542/peds.83.4.a72a.

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With the increasing number of single-parent households, children have come to have the highest poverty rate in the nation. In the mid-l960s, poverty among children was no worse than for the population as a whole; today, one child out of four is poor, and children are 50 percent more likely to be living in poverty (defined by the Government as an income of $11,204 or less for a family of four) than is the population as a whole.

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2

Manurung, Mariduk, and Misel Jaya. "Analysis Of Factors Influencing The Number Of Poor Population Provincial Central Kalimantan." Journal Magister Ilmu Ekonomi Universtas Palangka Raya : GROWTH 4, no. 1 (2018): 30–41. http://dx.doi.org/10.52300/grow.v4i1.2275.

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ABSTRACT The purpose of this study is to analyze the factors that affect the number of poor people of Central Kalimantan Province. The data used in this study is secondary data obtained from the Central Bureau of Statistics (BPS) of Central Kalimantan Province. The research method used is Ordinary Least Square Method (OLS), multiple linear regression method and to manage the data using SPSS version 17 software. The results of this study indicate that: a) Economic growth has a positive and insignificant effect on the number of poor people of Central Kalimantan Province. b) Per capit

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3

Lapian, Agnes Lutherani Ch P., Een Novritha Walewangko, and Lis Melissa Yapanto. "The Effect of Population, Human Development Index, and Gross Regional Domestic Product on Poor Population." International Journal of Professional Business Review 8, no. 5 (2023): e02221. http://dx.doi.org/10.26668/businessreview/2023.v8i5.2221.

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Purpose: This study aims to determine the effect of population, Human Development Index and Gross Regional Domestic Product on the number of poor people in Minahasa District Theoretical Framework: The data used in this study uses secondary data sourced from the Central Bureau of Statistics for North Sulawesi Province in 2011-2021. This type of research is quantitative research. Design/Methodology/Approach: The analysis technique used in this study is panel data regression analysis. Findings: The results showed that population, Human Development Index, and Gross Regional Domestic Product have a

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4

Ekawati, Ningrum. "Prediction of Poor Inhabitant Number Using Least Square and Moving Average Method." TELKOMNIKA Indonesian Journal of Electrical Engineering 16, no. 2 (2015): 369. http://dx.doi.org/10.11591/tijee.v16i2.1626.

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<p>Poor population in South Kalimantan recently shows a decreased number for the last three years, compared to few previous years. The number of poor population differs from time to time. This dynamical scaled number has actually been a problem for South Kalimantan local government to take proper policies to solve this matter. It will then be necessary to predict potential number of poor population in the next year as the basis of subsequent policy making. This research will apply both Least Square and Moving Average methods as measurement to count prediction values. From the result, we

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5

Wibowo, Ana Rahmawati, and Rifki Khoirudin. "ANALYSIS OF DETERMINANTS OF POOR POPULATION IN CENTRAL JAVA 2008-2017." Ekuilibrium : Jurnal Ilmiah Bidang Ilmu Ekonomi 14, no. 1 (2019): 1. http://dx.doi.org/10.24269/ekuilibrium.v14i1.1482.

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One of the indicators socio-economic the success of development is a decrease in the number of poor people. Central Java is the province with the second largest number of poor people after East Java Province. This study aims to determine the effect of population growth rate, GDP per capita life expectancy (AHH), mean years of schooling (RLS) and purchasing power parity simultaneously and partially on the number of poor people in Central Java from 2008-2017. This study uses secondary data by using program Stata 14, the analysis technique used is multiple linear regression panel data. The result

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Summer, Laura. "The Escalating Number of Uninsured in the United States." International Journal of Health Services 24, no. 3 (1994): 409–13. http://dx.doi.org/10.2190/gwdd-gqr2-q2dg-xj9u.

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Data from the Census Bureau's Annual Report on Poverty show that 37.4 million Americans—two million more than the previous year—had no health insurance during 1992. The proportion of people with no health insurance also increased from 14.1 percent in 1991 to 14.7 percent in 1992. This is the largest annual increase—both in the number of people and the proportion of the population lacking health care coverage—since 1987, the first year for which comparable data are available. In 1987, the Census data show, 31 million people—12.9 percent of the population—were not covered by health insurance. Bo

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7

Saepudin, Tete, and Sestri Nurfala. "Analisis Indikator Ketenagakerjaan dan Demografi terhadap Kemiskinan di Jawa Barat." Jurnal Riset Ilmu Ekonomi 2, no. 2 (2022): 69–78. http://dx.doi.org/10.23969/jrie.v2i2.30.

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This study aims to examine and analyze the impact of population growth, the Human Development Index (HDI), underemployment, agricultural and non-agricultural workers on the number of poor people in West Java during the 2011-2019 period. This study is a quantitative and descriptive analysis, data collection techniques using secondary data obtained from the Central Bureau of Statistics of West Java, the Center for Employment Information Data and the National Development Planning Agency. The research subjects were 27 districts and cities with data analysis techniques using panel data regression.

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8

Rajagukguk, Marlon Brando. "Spatial Analysis of The Number of Poor Population in East Java Province In 2023." Educational Studies and Research Journal 1, no. 1 (2024): 19–28. https://doi.org/10.60036/cmmtm190.

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Poverty has many important influences in a country because of the broad and complex impact it has on individuals, society, and the economy as a whole. The use of spatial analysis techniques in the context of poverty is important to understand the spatial distribution and factors related to economic inequality in the region. The aim of this research is to descriptively analyze the regional interrelationships of the Open Unemployment Rate (TPT), Human Development Index (HDI) and Number of Poor People variables, as well as analyzing inferentially to determine variables that significantly influenc

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9

Satria, Wisnu, Kamal Fachrurrozi, Mirzatul Kadri, and Muhammad Syahrul Mubarak. "INFLUENCE OF POPULATION GROWTH, INFLATION AND HUMAN DEVELOPMENT INDEX ON ECONOMIC GROWTH AND POVERTY." Jurnal REP (Riset Ekonomi Pembangunan) 9, no. 2 (2024): 214–26. http://dx.doi.org/10.31002/rep.v9i2.1844.

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This study aims to analyze and find out the influence of population growth inflation and the human development index on economic growth and the number of poor people in East Kalimantan Province. The analysis tool used is path analysis. The data used is secondary data from 2013-2022. The results of the analysis of path 1. Population growth has a positive and insignificant effect on economic growth, inflation has a negative and insignificant effect on economic growth, and the human development index has a positive and significant effect on economic growth in East Kalimantan Province. The results

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10

Husna, Arinal. "Pengaruh Jumlah Penduduk, Pendidikan, dan Pengangguran Pada Jumlah Penduduk Miskin Di Jawa Tengah." Perwira Journal of Economics & Business 4, no. 2 (2024): 230–45. http://dx.doi.org/10.54199/pjeb.v4i2.360.

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This study aims to examine the effect of population, education, and unemployment on the number of poor people in Central Java in 2021. the sample applied is data on population, education, unemployment, and the number of poor people in all regencies/cities in Central Java Province in 2021. This research uses a quantitative approach. The research was taken from secondary data belonging to the Central Bureau of Statistics. The results of this study state that population has a positive and significant effect, the higher the population, the higher the number of poor people, and vice versa. Meanwhil

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Dira, Raina Agustina, Rusgiyono Agus, and Pramita Izati Prajna. "Spatial Analysis of Poverty in Central Java Indonesia Through Multiscale Geographically Weighted Regression." International Journal of Mathematics and Computer Research 13, no. 05 (2025): 5156–62. https://doi.org/10.5281/zenodo.15342004.

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Multiple linear regression is a statistical analysis method used to measure the influence of two or more independent variables on the dependent variable. Violation of the assumption of homoscedasticity in multiple linear regression analysis modeling can occur due to spatial heterogeneity. Therefore, it is necessary to analyze by providing spatial weights for each observation location. Multiscale Geographically Weighted Regression (MGWR) is a method developed to analyze spatial data with different scales of influence for each independent variable. This study aims to model the number of poor peo

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Redhani, Faisal, and Ali Wardhana. "Pengaruh Jumlah Penduduk, IPM , PDRB Perkapita dan Jumlah Pengangguran terhadap Jumlah Penduduk Miskin di Kalimantan Selatan Tahun 2010 s.d. 2019." JIEP: Jurnal Ilmu Ekonomi dan Pembangunan 6, no. 2 (2023): 883. http://dx.doi.org/10.20527/jiep.v6i2.11069.

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This study aims to analyze the influence of the population number, human development index, GRDP per capita, and unemployment rate on the number of poor people in South Kalimantan from 2010 to 2019. The analytical method used in this research is Ordinary Least Square (OLS) and panel data (pooled data), which is a combination of time-series data began in 2010 to 2019 and cross-section data in the form of 13 districts/cities data in the province South Borneo. The analysis in this study was carried out with Eviews 10 software. The results in this study are the Population Variable has a positive a

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Rahayu, Yunie. "ANALISIS PENGARUH INDEKS PEMBANGUNAN MANUSIA, PDRB PER KAPITA, DAN JUMLAH PENGANGGURAN TERHADAP JUMLAH PENDUDUK MISKIN DI PROVINSI JAMBI." EKONOMIS : Journal of Economics and Business 2, no. 1 (2018): 165. http://dx.doi.org/10.33087/ekonomis.v2i1.40.

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Poverty is a problem faced by all countries in the world, especially the developing countries, such as Indonesia. Poverty is a complex issue that is affected by a variety of interrelated factors, such as people's income levels, unemployment, health, education, access to goods and services, geographic location, gender, and location the environment. The number of poor population in Central Java is relatively lebihtinggi compared to laindi province of Indonesia, that is occupying ranked second in the number of poor population the largest in Indonesia after East Java. This research aims to analyze

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Alhudhori, M. "PENGARUH IPM, PDRB DAN JUMLAH PENGANGGURAN TERHADAP PENDUDUK MISKIN DI PROVINSI JAMBI." EKONOMIS : Journal of Economics and Business 1, no. 1 (2017): 113. http://dx.doi.org/10.33087/ekonomis.v1i1.12.

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In fact the construction economy is rangkayan activity by exploiting the whole potential of the basic capital as epektif and efficiently through perancanaan kesejahtraanin order to improve society. The fulfillment of the basic needs of the society especially health, education, food and nutrition is something very fundamental in the context of the development of community welfare (welfare), human development (humandevelopment) and reduction of poverty (poverty reduction). Strategic issues in the governance of the Jambi province are not much different from the Central Government (the problem), n

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Rybakovsky, Oleg L. "Russian population reproduction: challenges, trends, factors and possible results by 2024." POPULATION 23, no. 1 (2020): 53–66. http://dx.doi.org/10.19181/population.2020.23.1.5.

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The article assesses the probability of fulfilling the tasks set by the President of the Russian Federation in the May 2018 Decree in the field of population reproduction. Each of the tasks outlines the current situation, current trends and the most likely results. Factors that contribute to or counteract solutions to the designated problems are identified. In particular, increase or even preservation of the number of births will be hindered by constant reduction since 2015 in the number of women of active reproductive age (25-39 years), who account for 4/5 of all births [1]. Their number will

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Grishina, Elena, and Elena Tsatsura. "Targeted allowances for children aged 3–7 and 8–17: accessibility, effectiveness and lessons for unified benefit." Population 26, no. 3 (2023): 77–92. http://dx.doi.org/10.19181/population.2023.26.3.7.

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Families with children can receive monthly payments of a substantial amount (from 50% to 100% of the child’s subsistence minimum). In January 2023, a unified benefit for children was introduced, extending to all categories of the child population the rules of monthly payments provided to low-income families with children aged 3–7 and 8–17. Based on 5 waves of telephone surveys conducted by RANEPA in the period from October 2021 to November 2022, as well as an analysis of comments from Internet sources, the article analyzes the risk of poverty for families with children from 3 to 17 years of ag

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17

Helwani, Akhmad Syarif, and Rusdiansyah Rusdiansyah. "Analisis Faktor-Faktor yang Mempengaruhi Jumlah Penduduk Miskin di Provinsi Kalimantan Selatan." JIEP: Jurnal Ilmu Ekonomi dan Pembangunan 5, no. 1 (2022): 217. http://dx.doi.org/10.20527/jiep.v5i1.5524.

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This study aims to determine the effect of the variable gross regional domestic product, several unemployment, regional minimum wages, consumer price index, and population on the number of poverty in South Kalimantan Province simultaneously and partially and what variables are the most dominant. This study uses secondary data over 20 years (2000-2019) with multiple linear regression analysis tools. The results showed all independent variables simultaneously; Gross regional domestic product, total unemployment, regional minimum wages, consumer price index, and population have a significant part

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18

Aghustin, Nuril Maulydia, and Eko Fajar Cahyono. "KORELASI ANTARA ZAKAT INFAQ SEDEKAH (ZIS), DANA PENANGGULANGAN KEMISKINAN (DPK), DANA PENDIDIKAN DAN JUMLAH PENDUDUK MISKIN DI INDONESIA." Jurnal Ekonomi Syariah Teori dan Terapan 7, no. 8 (2020): 1451. http://dx.doi.org/10.20473/vol7iss20208pp1451-1467.

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The purpose of this study is to know the correlation between ZIS and the number of poor population in Indonesia, the correlation between DPK and the number of poor population in Indonesia, and the correlation between education fund and the number of poor population in Indonesia. The method used is a quantitative method, using a simple correlational approach namely Karl Pearson correlation. The data used is quantitative and includes secondary data taken from the official website of BAZNAS, Ministry of Finance and BPS. This research data includes ZIS in Billion Rupiahs, DPK in Trillion Rupiahs,

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19

Nabila Silva Diba, Dinda, Bhisma Murti, and Noor Alis Setiyadi. "Spatial Analysis of Pulmonary Tuberculosis Risk in Surakarta, Central Java, Indonesia." Journal of Epidemiology and Public Health 9, no. 3 (2024): 386–406. https://doi.org/10.26911/jepublichealth.2024.09.03.12.

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Background: Pulmonary tuberculosis is an infectious disease, especially in developing countries. In 2022, the total number of tuberculosis cases in Indonesia was 677,464 cases. This study aims to conduct a spatial analysis of factors such as population size, population density, number of poor population, number of unemployed, healthy houses, and temperature to the number of pulmonary tuberculosis cases in the working area of health centers in Surakarta City in 2022.Subjects and Method: Spatial analysis was carried out by descriptive analysis of distribution maps using QGIS, spatial cluster ana

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20

Batubara, Ade Andriani, and Haddad Alwi. "Analysis of Factors Affecting the Number of Poor People in South Tapanuli Regency, North Sumatra 2010-2022." Outline Journal of Economic Studies 3, no. 1 (2024): 17–27. http://dx.doi.org/10.61730/ojes.v3i1.69.

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This study aims to look at the factors that influence the number of poor people in South Tapanuli Regency. The data used is secondary data obtained through the Central Bureau of Statistics for North Sumatra Province. The data taken is the number of poor people (Y), the Human Development Index (X1), the total population (X2), and life expectancy (X3) with the observation year 2010-2022. The analytical model used in this study is multiple linear regression. The results of the analysis show that the Human Development Index (X1) and life expectancy (X3) have a negative and significant effect on th

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Mulchaey, John S. "X-ray Observations of Poor Groups." International Astronomical Union Colloquium 174 (2000): 174–81. http://dx.doi.org/10.1017/s0252921100054956.

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AbstractX-ray observations of groups have provided considerable new insight into these cosmologically important systems. Recent ROSAT surveys of loose and compact groups suggest that ≃ 50% of all nearby groups contain a hot intragroup medium, including many spiral-rich groups. However, spiral-only groups tend not to be X-ray detected. Spectroscopic studies of X-ray groups indicate that these systems contain a large number of faint galaxies. The existence of a large population of faint galaxies, combined with the extended X-ray halos, is consistent with X-ray detected groups being real, bound s

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Silaen, Novia Ruth, Emmelia Arihta Ginting, and Dearma Sariani Sinaga. "Impact of Unemployment, Social Protection Spending, and SMEs on the Underprivileged Population Number." Jurnal Ilmiah Manajemen Kesatuan 13, no. 3 (2025): 1839–48. https://doi.org/10.37641/jimkes.v13i3.3324.

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This study aims to analyze the effect of unemployment, realization of social protection costs, and Regency/City Minimum Wages (UMK) on the number of poor people in 23 regencies/cities in North Sumatra Province in the period 2020–2024. The approach used is quantitative with secondary data from BPS and DJPK, as well as panel data regression analysis using the EViews 9 application. The best estimation model chosen is fixed effect. The results of the study show that unemployment has a positive and significant effect on poverty, which means that the higher the unemployment, the higher the poverty r

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Fadhilahningrum, Nura Yuli, and Karsinah Karsinah. "Zakat Distribution Role in Reducing People Poor Number in Semarang City." Economics Development Analysis Journal 6, no. 3 (2018): 313–19. http://dx.doi.org/10.15294/edaj.v6i3.22275.

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Poverty is one of the main problems facing Indonesia to date, as the capital of Central Java City Semarang also can not be separated from this poverty problem. Although the number of poor people from year to year decline, but in terms of proportion to the total population of Semarang City, the number of poor people reached 20%. One instrument that can help reduce poverty is zakat. This study aims to analyze the impact of zakat as poverty reduction with zakat approach and with zakat. The analytical tool used in this research is poverty indicator consisting of headcount ratio, poverty gap index,

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Jajang, Jajang, Asep Saefuddin, I. Wayan Mangku, and Hermanto Siregar. "Analisis Kemiskinan Menggunakan Model Panel Spasial Statik." MIMBAR, Jurnal Sosial dan Pembangunan 29, no. 2 (2013): 195. http://dx.doi.org/10.29313/mimbar.v29i2.396.

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The purpose of this research is to study the effects of GDP, population, employment of junior high school graduated, employment shares of agriculture, industry, trading and services to the number of poor people in Central Java Province. The method used to this modeling is spatial modeling. The results of research show that when GDP, employment shares of industry, trading and services are increase, the number of poor people is decrease. However, when the population, employment share of agriculture and employment of junior high school graduated are increase, the number of poor people is increase

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Sudirman, Sudirman, and Lili Andriani. "PENGARUH UPAH MINIMUM DAN INFLASI TERHADAP JUMLAH PENDUDUK MISKIN DI PROVINSI JAMBI." EKONOMIS : Journal of Economics and Business 1, no. 1 (2017): 148. http://dx.doi.org/10.33087/ekonomis.v1i1.15.

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Determination of the Minimum wage is based on the necessities of life are worthy(KHL) with attention to productivity and economic growth, while inflation where a situation where price levels are continuously increasing. While the problem of povertyis a classic problem because all countries had a huge poor population. Therefore need to look for a solution to overcome the problem of poverty. This research aims to find out how inflation, the minimum wage can be explained against the poor population in the province of Jambi province Year 2001-2015. This research is quantitative research using time

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Prityawati, Era, M. Melyana, and Binar Dwiyanto Pamungkas. "PENGARUH JUMLAH PENDUDUK DAN PENGANGGURAN TERHADAP JUMLAH RUMAH TANGGA MISKIN (Studi Pada Masyarakat Kecamatan Utan)." Jurnal Ekonomi & Bisnis 10, no. 2 (2022): 177–86. http://dx.doi.org/10.58406/jeb.v10i2.964.

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This study aims to determine the effect of population and unemployment on the number of poor households in Utan Sub-District. This type of research is associative research. The type of data used is quantitative data obtained from secondary sources related to data on population, unemployment and the number of poor households which are detailed per village in Utan Sub-District in 2021. Data collection is carried out using the documentation method by looking for documents or archives related to the data studied. Data analysis was carried out using multiple linear regression analysis techniques, t

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Suhartini, Suhartini, and Ria Yuliani. "Penerapan Data Mining untuk Mengcluster Data Penduduk Miskin Menggunakan Algoritma K-Means di Dusun Bagik Endep Sukamulia Timur." Infotek : Jurnal Informatika dan Teknologi 4, no. 1 (2021): 39–50. http://dx.doi.org/10.29408/jit.v4i1.2986.

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The occurrence of poverty in the community is caused by a condition of the economic inability of the head of the family to meet the primary / basic needs of his family, namely the need for clothing, food, shelter and education. The poor community itself can be found in almost every country, city and region, for example in one of the Bagik Endep hamlets of East Sukamulia Village. Based on these conditions, it is necessary to carry out clustering to assist the village government in grouping poor families, so that assistance can be distributed appropriately. By observing the above problems, Data

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Erwin, Muthia Ferliani Balqis, Rosman Siregar, Rony Genevent Marpaung, and J. L. Marpaung. "The Effect of Number of Population, Average Expenditure, Unemployment, and Number of Poor People in North Sumatra Province with Path Analysis Method." Journal of Mathematics Technology and Education 2, no. 2 (2023): 126–33. http://dx.doi.org/10.32734/jomte.v2i2.13589.

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Poverty is an economic problem so that a person experiences the inability to meet the necessities of life caused by the economy not meeting the average standard of living of society in general. This research is to find out how much influence it has on population, average public expenditure, unemployment, and the number of poor people in the province of North Sumatra. Since the Covid-19 pandemic, there has been an increase in the poverty rate in 2021-2022. The percentage of poor people in September 2022 was 9.57 percent, an increase of 0.03 percent from March 2022 and a decrease of 0.14 percent

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Syamsul Arifin. "ANALYSIS OF EDUCATION LEVEL AND INCOME EFFECT TO THE NUMBER OF POOR INHABITANT IN INDONESIA." International Journal of Global Accounting, Management, Education, and Entrepreneurship 1, no. 1 (2020): 45–55. http://dx.doi.org/10.48024/ijgame2.v1i1.12.

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This research aims to analyze the level of education and income per capita of the number of poor people in Indonesia in 2004 - 2019 either partially or simultaneously. The population in this study was Indonesia in 2004 - 2019. The sampling technique is purposive sampling technique. The data collection method is documentation. Although the method of analysis using regression analysis techniques of time series data. The results of data analysis showed that the level of education is partially significant effect on the number of poor people in Indonesia. On the other hand revenues significantly in

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Syamsul Arifin. "ANALYSIS OF EDUCATION LEVEL AND INCOME EFFECT TO THE NUMBER OF POOR INHABITANT IN INDONESIA." International Journal of Global Accounting, Management, Education, and Entrepreneurship 1, no. 1 (2020): 45–55. http://dx.doi.org/10.48024/inggris.v1i1.12.

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This research aims to analyze the level of education and income per capita of the number of poor people in Indonesia in 2004 - 2019 either partially or simultaneously. The population in this study was Indonesia in 2004 - 2019. The sampling technique is purposive sampling technique. The data collection method is documentation. Although the method of analysis using regression analysis techniques of time series data. The results of data analysis showed that the level of education is partially significant effect on the number of poor people in Indonesia. On the other hand revenues significantly in

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Loopstra, Rachel, and Valerie Tarasuk. "Food Bank Usage Is a Poor Indicator of Food Insecurity: Insights from Canada." Social Policy and Society 14, no. 3 (2015): 443–55. http://dx.doi.org/10.1017/s1474746415000184.

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This article reflects on the insights afforded by the regular measurement and monitoring of household food insecurity in Canada juxtaposed against information on food bank usage in the population. We show that the number and characteristics of people using food banks suggest that this population is a non-representative subset of the food insecure population. We also highlight how the number of people using food banks is insensitive to the level of household food insecurity in the population. Who goes to food banks is a function of the nature of food bank operations and the severity of food ins

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Sanglier-Contreras, Gastón, Eduardo J. López-Fernández, and Roberto Alonso González-Lezcano. "Poor Ventilation Habits in Nursing Homes Have Favoured a High Number of COVID-19 Infections." Sustainability 13, no. 21 (2021): 11898. http://dx.doi.org/10.3390/su132111898.

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Residents of nursing homes have been significantly affected by COVID-19 in Spain. The factors that have contributed to the vulnerability of this population are very diverse. In this study, physical agents, chemical pollutants, population density and different capacities of residences were analysed to understand their influence on the number of elderly people who have died in geriatric centres in different autonomous communities (AACCs) of Spain. A statistical analysis was carried out on the variables observed. The results show that many residences with a larger number of deaths were private, w

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BUDINIRMALA, KADEK, NI LUH PUTU SUCIPTAWATI, KETUT JAYANEGARA, and I. PUTU EKA NILA KENCANA. "MEMODELKAN KEMISKINAN PENDUDUK PROVINSI BALI DENGAN REGRESI DATA PANEL." E-Jurnal Matematika 7, no. 3 (2018): 219. http://dx.doi.org/10.24843/mtk.2018.v07.i03.p206.

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One indicator of the success of development programs undertaken is the declining percentage of the poor, defined as the ratio of the number of people classified as poor to the total population. For Bali province, despite its economic growth is higher than national rate; 6.03 percent and 6.24 percent compared to 4.88 percent and 5.02 percent in 2015 and 2016, respectively; the poor are still observed in this province by 4.15 percent of its 4.2 million population in September 2016. In order to make development programs in Bali more effective to decrease the number of poor people, significant det

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Dewi, Ima Sartika, and Joko Ade Nursiyono. "Determinants of Poverty in East Java During The COVID-19 Pandemic." EkBis: Jurnal Ekonomi dan Bisnis 7, no. 1 (2023): 1–11. http://dx.doi.org/10.14421/ekbis.2023.7.1.1603.

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The global COVID-19 pandemic has infected million people in Indonesia. East Java has experienced Indonesia’s epicentre of positive COVID-19 cases. The economic disruption in East Java due to COVID-19 pandemic has led to increase the number of poor people. This study aims to examine the determinants of poverty during the pandemic outbreak. In this study, we employed multiple linear regression. The results reveals that simultaneously the cumulative number of COVID-19, unemployment rate, Gini Ratio, population density, human development index (HDI), and GRDP per capita affect the risk of poverty

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Soleh, Ahmad. "Analisis dan Strategi Pengentasan Kemiskinan Di Provinsi Jambi." Eksis: Jurnal Ilmiah Ekonomi dan Bisnis 9, no. 1 (2018): 79. http://dx.doi.org/10.33087/eksis.v9i1.135.

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The growing number of poor population is still a major problem from the Government and it is a very difficult problem to overcome. This is because it is affected by a high population growth without the availability of supported employment in addition also influenced the low HUMAN RESOURCES from the society. In percentage of visible existence of decrease in the number of poor population but in the amount of an increase in the poor population. On the basis of it then this research aims to analyze the two things are pretty important in this poverty reduction efforts among them; (1) how much pover

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Welsh, Louise, Ryan Cooke, and Michele Fumagalli. "The stochastic enrichment of Population II stars." Monthly Notices of the Royal Astronomical Society 500, no. 4 (2020): 5214–28. http://dx.doi.org/10.1093/mnras/staa3342.

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ABSTRACT We investigate the intrinsic scatter in the chemical abundances of a sample of metal-poor ([Fe/H] &lt; −2.5) Milky Way halo stars. We draw our sample from four historic surveys and focus our attention on the stellar Mg, Ca, Ni, and Fe abundances. Using these elements, we investigate the chemical enrichment of these metal-poor stars using a model of stochastic chemical enrichment. Assuming that these stars have been enriched by the first generation of massive metal-free stars, we consider the mass distribution of the enriching population alongside the stellar mixing and explosion e

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Noviana Pratiwi and Maria Jefin Paput. "Pemodelan Jumlah Penduduk Miskin di Jawa Timur dengan Generalized Linier Model." INSOLOGI: Jurnal Sains dan Teknologi 1, no. 5 (2022): 491–97. http://dx.doi.org/10.55123/insologi.v1i5.788.

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Poverty as a development issue is an important thing to pay attention. Therefore, it is necessary to analyze to prevent an increase in the number of poor people in an area, one of which is by considering the things that affect poverty estimates and knowing the model of the number of poor people that can later be used as predictions. East Java is the region in Indonesia with the highest population in Indonesia in 2019. One way to find out the influencing factors and at the same time to make a model of the number of poor people in East Java is by modeling with the Generalized Linear Model (GLM)

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Muhammad Hafiz Fadhilah, Masruri Muchtar, and Pardomuan Robinson Sihombing. "Pengaruh Jumlah Penduduk, Tingkat Pengangguran Terbuka, dan Pendidikan Terhadap Kemiskinan di Indonesia." Jurnal Manajemen Publik dan Kebijakan Publik (JMPKP) 5, no. 1 (2023): 1–18. http://dx.doi.org/10.36085/jmpkp.v5i1.4782.

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This study aims to determine the effect of population size, unemployment rate, education, and the Gini ratio on poverty in Indonesia. The research was conducted using panel data regression with a random effect regression model. The results of the study show that population, unemployment rate, education and the gini ratio simultaneously affect the number of poor people in Indonesia. Partially, all independent variables affect the number of poor people but with a different direction of influence.

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Umara, Gharas, Toto Gunarto, and Dedy Yuliawan. "Influence Human Development Index, Open Unemployment Rate, and Product Gross Regional Domesticity Per Capita on Poverty in Indonesia." Revenue Journal: Management and Entrepreneurship 2, no. 1 (2024): 34–52. https://doi.org/10.61650/rjme.v2i1.561.

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Poverty problem has become a problem in societies and countries in this world. Indonesia continues to try to get out of the poverty zone, and the government at the central and regional levels is carrying out various efforts and programs to lower poverty in Indonesia. This research was conducted to see the influence of human development index (HDI) data, unemployment rate open (TPT), and GDP per capita of 34 Provinces in Indonesia on the Number of Poor populations of 34 Provinces in Indonesia in 2022. This research uses a quantitative method with a descriptive approach. The data source in this

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Harkare, Vivek, Kanchan Dhote, Kunal Shrimal, Nitin Deosthale, Priti Dhoke, and Sonali Khadakkar. "Epidemiological study of dacryocystitis in rural population." Panacea Journal of Medical Sciences 7, no. 1 (2017): 11–14. https://doi.org/10.18231/pjms.v.7.i.1.11-14.

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Chronic dacryocystitis which is an inflammation and infection of lacrimal sac is an important cause of epiphora leading to ocular morbidity in India. Out of many etiological factors of chronic dacryocystitis, poor hygiene and allergy have a major contribution to the disease development. The aim is to find out occurrence of dacryocystitis in patients belonging to various socioeconomic groups and to correlate dacryocystitis with socioeconomic status. The present study is cross sectional hospital based study from June 2016 to Aug 2016 in a tertiary health care centre of central India. The result

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Djumabaeva, Shoira Kh. "Demographic potential of the Republic of Karakalpakstan." POPULATION 23, no. 3 (2020): 145–54. http://dx.doi.org/10.19181/population.2020.23.3.13.

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This article analyzes dynamics in the population size and composition, natural growth, fertility, mortality, marriage, divorce, and migration in one of the Uzbekistan regions — the Republic of Karakalpakstan. In recent years there has been observed a decrease in the natural population growth, although it remains relatively high. Analysis of the dynamics in fertility shows that in Karakalpakstan over the years of independence the crude birth rate has significantly decreased. The changing attitude of women to family size is closely related to the changes in their role in society and in family —

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Elbers, Jorina. "Navigating an International Research Elective in a Resource-Poor Setting." Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques 37, no. 6 (2010): 909–11. http://dx.doi.org/10.1017/s0317167100051738.

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In the fall of 2008, I completed a 2-month international elective and traveled from Toronto, Canada to Zambia. Zambia is a peaceful, land-locked country in sub-Saharan Africa, neighboring Zimbabwe,Angola, and the Democratic Republic of Congo. Zambia ranks number 164 out of 182 in the United Nation's Human Development Index (2009), with 64.3% of the nation's population living below the World Bank poverty threshold of $1 a day. The estimated adult prevalence of human immunodeficiency virus (HIV) is 15%, with greater than 50% of the population less than 18 years old, and an average lifeexpectancy

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Jayaningtyas, Lailatul, and Nugroho Suryo Bintoro. "ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI JUMLAH PENDUDUK MISKIN." Journal of Development Economic and Social Studies 2, no. 2 (2023): 350–60. http://dx.doi.org/10.21776/jdess.2023.02.2.11.

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Poverty is a problem where no country or region can be free from the threat of poverty. Likewise with Indonesia, of the 34 provinces in which East Java Province is an area that has the largest number of poor people compared to other provinces. Based on the principles of regional autonomy and Keynesian theory, the government's efforts to reduce the number of poor people can be through allocating education expenditures and health expenditures. In this regard, there are several other factors that can affect the level of poverty, including per capita income, population growth and unemployment. The

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Mossoux, Sophie, Matthieu Kervyn, Hamid Soulé, and Frank Canters. "Mapping Population Distribution from High Resolution Remotely Sensed Imagery in a Data Poor Setting." Remote Sensing 10, no. 9 (2018): 1409. http://dx.doi.org/10.3390/rs10091409.

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Accurate mapping of population distribution is essential for policy-making, urban planning, administration, and risk management in hazardous areas. In some countries, however, population data is not collected on a regular basis and is rarely available at a high spatial resolution. In this study, we proposed an approach to estimate the absolute number of inhabitants at the neighborhood level, combining data obtained through field work with high resolution remote sensing. The approach was tested on Ngazidja Island (Union of the Comoros). A detailed survey of neighborhoods at the level of individ

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Wilbourn, Rachael V., Hannah Froy, Marie-Christina McManus, et al. "Age-dependent associations between telomere length and environmental conditions in roe deer." Biology Letters 13, no. 9 (2017): 20170434. http://dx.doi.org/10.1098/rsbl.2017.0434.

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Telomere length (TL) represents a promising biomarker of overall physiological state and of past environmental experiences, which could help us understand the drivers of life-history variation in natural populations. A growing number of studies in birds suggest that environmental stress or poor environmental conditions are associated with shortened TL, but studies of such relationships in wild mammals are lacking. Here, we compare leucocyte TL from cross-sectional samples collected from two French populations of roe deer which experience different environmental conditions. We found that, as pr

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H, Bhuvaneswari, and Sivabalaji M. "Micro Finance as a Boon for Rural Poor." Shanlax International Journal of Commerce 7, S3 (2019): 27–30. https://doi.org/10.5281/zenodo.2572411.

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 India is a land of villages. Nearly 74% of the total population is living in rural areas. A signification large number of them are poor. The microcredit program in India is now the largest in the world. Since independence, the Government of India and the Reserve Bank of India and the Reserve Bank of India have made concerted efforts to provide the poor with access to credit. Despite the phenomenal increase in the past several decades, the rural poor continue to depend on informal source of credit. Besides all the things, cumbersome procedure and risk pe

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Gallego, Julian. "Land for the Athenian Poor." Pnyx: Journal of Classical Studies 3 (June 30, 2024): 1–23. http://dx.doi.org/10.55760/pnyx.2024.35260.

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The main concern of this research is the distribution of land carried out by Athens outside Attica during the fifth century BCE, which mostly favoured poor Athenians according to the perspective held in this article. The basic assumption is that most of the colonists and cleruchs came from the Athenian lower classes, which encompassed all the thetes and the bulk of the zeugitai keeping in mind the Solonian census classes. It is argued that in the colonisation process there was a hoplite farm model that operated as a reference pattern for the Athenian state to distribute plots and/or to collect

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Rahmadi, Selamet, Dwi Hastuti, and Parmadi Parmadi. "Pengaruh belanja modal urusan wajib dan urusan pilihan terhadap jumlah penduduk miskin dengan jumlah pengangguran sebagai variabel intervening di Provinsi Jambi." Jurnal Paradigma Ekonomika 17, no. 1 (2022): 213–34. http://dx.doi.org/10.22437/jpe.v17i1.15726.

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The research aims to measure and analyze the increase in mandatory affairs capital expenditures, optional capital expenditures, the number and number of poor people in Jambi Province, and to measure and analyze the direct and direct effect of mandatory and optional capital expenditures on the number of poor people through the total movement of spending. As an intervention variable in Jambi Province. The data used are secondary in the form of a time series from 2008-2020. Direct effect: capital expenditure on mandatory affairs on the number of poor people has a positive and significant impact,

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Maulidah, Fadlliyah, and Ady Soejoto. "PENGARUH TINGKAT PENDIDIKAN, PENDAPATAN DAN KONSUMSI TERHADAP JUMLAH PENDUDUK MISKIN DI PROVINSI JAWA TIMUR." JURNAL EKONOMI PENDIDIKAN DAN KEWIRAUSAHAAN 3, no. 2 (2017): 227. http://dx.doi.org/10.26740/jepk.v3n2.p227-240.

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This research aims to analyze the influence of education level, income and consumption on the number of poor people in the east java province partially and simultaneously. The population of this research is poor people in east java province from the year 2009-2013. The technique of sampling applies purposive sampling. Furthermore, the method of data collection uses method of documentation while the method of data analysis is regression analysis techniques of panel data. The result of data analysis shows that in partial the education level does not influence significantly to the number of poor

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Jones, Olivia C., Michael J. Sharp, Megan Reiter, Alec S. Hirschauer, M. Meixner, and Sundar Srinivasan. "The young stellar population of the metal-poor galaxy NGC 6822." Monthly Notices of the Royal Astronomical Society 490, no. 1 (2019): 832–47. http://dx.doi.org/10.1093/mnras/stz2560.

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ABSTRACT We present a comprehensive study of massive young stellar objects (YSOs) in the metal-poor galaxy NGC 6822 using IRAC and MIPS data obtained from the Spitzer Space Telescope. We find over 500 new YSO candidates in seven massive star formation regions; these sources were selected using six colour–magnitude cuts. Via spectral energy distribution fitting to the data with YSO radiative transfer models we refine this list, identifying 105 high-confidence and 88 medium-confidence YSO candidates. For these sources, we constrain their evolutionary state and estimate their physical properties.

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