Article Per Year (5 Year)
p-Index From 2019 - 2024
0.408
P-Index
This Author published in this journals
All Journal The Indonesian Journal of Social Studies Engineering, Mathematics and Computer Science Journal (EMACS)
Helen Fricylya Br Tobing
POLITEKNIK STATISTIKA STIS
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Engineering Industrial & Manufacturing Engineering Mathematics Social Sciences Other

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Faktor-Faktor yang Mempengaruhi Persentase Penduduk Miskin di Indonesia Tahun 2015-2018 Menggunakan Regresi Data Panel Ian Tryaldi Halim; Annisa Putri Ramadhanty; Dewi Retno Oscarini; Galang Madya Putra; Helen Fricylya Br Tobing; Rani Nooraeni
Engineering, MAthematics and Computer Science (EMACS) Journal Vol. 2 No. 2 (2020): EMACS
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/emacsjournal.v2i2.6368

Abstract

Indonesia as a country rich in natural resources has not been able to make it as a country that is free from poverty. The percentage of poor people in Indonesia is still high, is still less efficient, the government's policy in alleviating poverty. This can be seen from the increase in the human development index, gross domestic product and the number of health facilities that are not counted by reducing the percentage of the poor population. The purpose of this study is to describe the percentage of poor people in Indonesia and to analyze the factors that influence the percentage of poor people in Indonesia. This study uses panel data regression analysis using the Random Effect Model (REM) method. The results showed the regional gross domestic product and the level of openness significantly open to the percentage of Indonesia's poor population. While the human development index and the amount of health development are not significant to the percentage of poor people in Indonesia. From the results of this study, Indonesia can optimize employment opportunities that can be released so that it can improve the state of the country. This implementation is expected to increase the number of poor people in Indonesia which can be significant.
Penerapan Path Analysis terhadap Faktor-Faktor yang Mempengaruhi IPM dan Kemiskinan di Indonesia Tahun 2019 Andika Nikola Putra; Helen Fricylya Br Tobing; Ossy Sanityasa Rahajeng; Risni Julaeni Yuhan
The Indonesian Journal of Social Studies Vol 3 No 1 (2020): July
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/ijss.v3n1.p37-45

Abstract

Poverty is a complex and multidimensional problem so that it becomes a development priority. One of the measurement tools commonly used in seeing the quality of human life is the human development index. The purpose of this study is to analyze the HDI in Indonesia including poverty which is a general impact. The analysis was conducted using the Path Analysis method approach which is an extension of the regression analysis. The factors that had the greatest influence on HDI values in Indonesia in 2019 were Life Expectancy, then Regional Original Income, then Old School Expectations and who had the smallest influence and had a negative effect on HDI values in Indonesia in 2019 were the Number of Hospitals. The factor that has the greatest influence and has a negative influence on the percentage of poor population in Indonesia in 2019 is the Human Development Index, and another factor that also affects the percentage of poor population in Indonesia in 2019 is Hope for School Duration.
Co-Authors Andika Nikola Putra Annisa Putri Ramadhanty Dewi Retno Oscarini Galang Madya Putra Ian Tryaldi Halim Nooraeni, Rani Ossy Sanityasa Rahajeng Risni Julaeni Yuhan