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All Journal Ekonomikawan : Jurnal Ilmu Ekonomi dan Studi Pembangunan Jurnal Biologi dan Pembelajarannya (JBP) Jurnal Ekonomi & Studi Pembangunan WARTA Jurnal Ekonomi Pembangunan: Kajian Masalah Ekonomi dan Pembangunan EKOMBIS REVIEW: Jurnal Ilmiah Ekonomi dan Bisnis Jurnal Ekonomi Pembangunan STIE Muhammadiyah Palopo Journal of Economic, Bussines and Accounting (COSTING) JIM UPB (Jurnal Ilmiah Manajemen Universitas Putera Batam) Primanomics : Jurnal Ekonomi & Bisnis Al Qalam: Jurnal Ilmiah Keagamaan dan Kemasyarakatan Journal of Islamic Economic Laws Jurnal Penelitian Sains Teknologi SEIKO : Journal of Management & Business OIKOS: Jurnal Kajian Pendidikan Ekonomi dan Ilmu Ekonomi Ekuilibrium : Jurnal Ilmiah Bidang Ilmu Ekonomi JMIE (Journal of Madrasah Ibtidaiyah Education) GEMA EKONOMI JURNAL LENTERA BISNIS International Journal of Economics, Business and Accounting Research (IJEBAR) Jurnal Ilmiah Edunomika (JIE) Amnesty: Jurnal Riset Perpajakan Community Engagement and Emergence Journal (CEEJ) Science Midwifery Jurnal Ilmu Manajemen Profitability Economics and Digital Business Review Abdi Psikonomi Abdi Geomedisains Talaa : Journal of Islamic Finance Islamiconomic: Jurnal Ekonomi Islam Procedia of Social Sciences and Humanities Journal of Accounting and Finance Management (JAFM) Proceeding ISETH (International Summit on Science, Technology, and Humanity) Prosiding University Research Colloquium ASJN (Aisyiyah Surakarta Journal of Nursing) ITQAN: Jurnal Ilmu-ilmu Kependidikan Innovative: Journal Of Social Science Research Jurnal Informatika Ekonomi Bisnis Economos : Jurnal Ekonomi dan Bisnis Jurnal Penelitian dan Pengabdian Masyarakat Riwayat: Educational Journal of History and Humanities International Journal of Islamic Economics (IJIE) Jurnal Pendidikan Ilmu Sosial Proceeding Of International Conference On Education, Society And Humanity Determinasi: Jurnal Penelitian Ekonomi Manajemen dan Akuntansi Ta'allum: Jurnal Pendidikan Islam
Eni Setyowati
Universitas Muhammadiyah Surakarta
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary Other

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Journal : Procedia of Social Sciences and Humanities

 1 
The Effect of Number of Population, HDI And Unemployment Rate on Poverty Level in Banten 2017-2020: Pengaruh Jumlah Penduduk, IPM dan Tingkat Pengangguran Terhadap Tingkat Kemiskinan di Banten Tahun 2017-2020 Nurcholis, Achmad Fauzan Zain Ardhi; Setyowati, Eni
Procedia of Social Sciences and Humanities Vol. 3 (2022): Proceedings of the 1st SENARA 2022
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pssh.v3i.175

Abstract

This research is motivated by the case of poverty in Banten Province which is still relatively high on the island of West Java. The purpose of this study was to analyze and determine the effect of the level of population, the Human Development Index (HDI) and the unemployment rate on the poverty level in Banten Province. This observation uses secondary data obtained from the Central Statistics Agency (BPS) Banten and Indonesia. The technique used is a quantitative approach with panel data regression techniques from 2017-2020 with a total of 8 regencies/cities of observation data and processed with a Fixed Effect Model (FEM) approach using Eviews 8. The final calculation results show that the Population variable and the Human Development Index has a negative effect on poverty, and Unemployment has a significant effect on Poverty in Banten Province in 2017-2020. This research is expected to be taken into consideration in decision making for the central and local governments in dealing with the problem of poverty in Banten Province.
The Effect of Economic Growth, Unemployment, Wages and Labor on Poverty in The Pati Ex-Resident in 2017-2021: Pengaruh Pertumbuhan Ekonomi, Pengangguran, Upah dan Tenaga Kerja Terhadap Kemiskinan di Eks- Karesidenan Pati Tahun 2017-2021 Dewi, Reny Fitria; Setyowati, Eni
Procedia of Social Sciences and Humanities Vol. 3 (2022): Proceedings of the 1st SENARA 2022
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pssh.v3i.179

Abstract

The purpose of this study was to determine the magnitude of the influence of the variables of economic growth, unemployment rate, wages and labor on poverty in the Pati Ex-Resident which consists of 6 regencies in 2017-2021. Poverty as the dependent variable, and economic growth, unemployment, wages and labor as independent variables. The analytical technique used is panel data regression analysis using the Eviews 10 program computer. This study uses secondary data obtained from the Central Statistics Agency (BPS) for a period of 5 years starting from 2017-2021 and the National Journal as a supporter. This research is expected to be a consideration for policy making for the central government, especially local governments in tackling poverty levels so that the economy progresses.
The Effect of Education, Economic Growth, Labor and City Minimum Wages on Poverty in the Ex-Residency of Surakarta in 2017-2021: Pengaruh Pendidikan, Pertumbuhan Ekonomi, Tenaga Kerja dan Upah Minimum Kabupaten Kota Terhadap Kemiskinan di Eks-Karesidenan Surakarta Tahun 2017-2021 AZIZAH, SALWA NUR; Setyowati, Eni
Procedia of Social Sciences and Humanities Vol. 3 (2022): Proceedings of the 1st SENARA 2022
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pssh.v3i.181

Abstract

his study aims to analyze how much influence Education, Economic Growth, Labor, District/City Minimum Wages have on Poverty in Surakarta Residency in 2017-2021. Poverty as a related variable, while education, economic growth, labor and district/city minimum wages are independent variables. The analytical technique used is panel data regression analysis using the Eviews 10 program computer. This study uses secondary data obtained from the Central Statistics Agency for a period of 5 years starting from 2017-2021. This research is expected to be a material consideration for policy making for local governments in the formulation of a policy to reduce poverty.
Factors Affecting Poverty in Central Java Province 2018-2020: Faktor-Faktor Yang Mempengaruhi Kemiskinan di Provinsi Jawa Tengah Tahun 2018-2020 Muhsin, Fikri Zakaria; Setyowati, Eni
Procedia of Social Sciences and Humanities Vol. 3 (2022): Proceedings of the 1st SENARA 2022
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pssh.v3i.182

Abstract

Poverty is one of the diseases that exist in the economy of each country, especially in Indonesia, which is included in the category of developing countries which can still be said to have a fairly high poverty rate. The problem of poverty is a problem that is so complex and always exists in social life that involves aspects of human life, even though its presence is often not realized by the person concerned. This study aims to analyze the effect of Education, Population, Gross Regional Domestic Product (GRDP) and Labor Force on the level of Poverty in Central Java in 2018-2020. The data obtained is from the website of the Central Statistics Agency (BPS) of Central Java Province. Data were taken from 29 districts and 6 cities in Central Java Province. The analysis tool uses panel data regression. The results of this study indicate that the Fixed Effect Model (FEM) is the selected panel data regression model. Based on the test results, it was found that the level of significance of Education, Population and Gross Regional Domestic Product (GRDP) had an effect on the level of Poverty in Central Java in 2018-2020.
Analysis of the Effect of Education, Population, Employment, Minimum Wages on Poverty in Riau Province 2017-2021: Analisis Pengaruh Pendidikan, Jumlah Penduduk, Tenaga Kerja, Upah Minimum, terhadap Kemiskinan Provinsi Riau Tahun 2017- 2021 Pertiwi, Mayang Umi; Setyowati, Eni
Procedia of Social Sciences and Humanities Vol. 3 (2022): Proceedings of the 1st SENARA 2022
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pssh.v3i.183

Abstract

This study entitled the effect of education, population, employment and district minimum wages on poverty in Riau Province in 2017-2021. This study aims to determine the magnitude of the effect of the dependent variable on the independent variable. The data analysis method used is panel data using Eviews 8. From the data it can be concluded that the variables of education, population, employment, district minimum wages affect the poverty variable. Partially, the population variable has a positive effect on the poverty variable, and the district minimum wage has a negative effect on poverty.
Analysis of Unemployment, Capita Income, and HDI on Economic Growth on Indonesia, 2017-2020.: Analisis Pengangguran, Pendapatan Perkapita, dan IPM Terhadap Pertumbuhan Ekonomi di Indonesia Tahun 2017-2020. Sari, Sandra Dwita; Setyowati, Eni
Procedia of Social Sciences and Humanities Vol. 3 (2022): Proceedings of the 1st SENARA 2022
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pssh.v3i.195

Abstract

Economic growth is one of the important indicators to measure the level of progress and development in a country. This study aims to determine the effect of Unemployment, Per capita Income, and Human Development Index (IPM) on Economic Growth in Indonesia in 2017-2020. The analytical method used in this regression research is descriptive analysis and panel data analysis using Eviews 10 software, with secondary data obtained from the Central Statistics Agency (BPS) with a cross section covering 34 provinces in Indonesia which produces 136 observations, while the time series data starting in 2017-2020. The results showed that the 3 variables tested, Unemployment had a positive and significant effect on economic growth with a probability of 0.0000 < = 0.01, income per capita had a positive and significant effect on economic growth with a probability of 0.0000 < = 0.01, while the index Human Development (IPM) has a negative and significant effect on economic growth with a probability of 0.0542 < = 0.10. The results of the study of the coefficient of determination (R2) also show good results, where 86% of the variation in the growth dependent variable can be explained by the independent variables of Unemployment, Per capita Income and Human Development Index (IPM). While the remaining 13.83% is explained by other variables that are not included in the model.
Analysis of the Influence of the Number of Population, Wages, And HDI on Open Unemployment Rate in Central Java, 2016-2020: Analisis Pengaruh Jumlah Penduduk, Upah, dan Ipm Terhadap Tingkat Pengangguran Terbuka di Jawa Tengah Tahun 2016-2020 Sari, Riana Julihan; Setyowati, Eni
Procedia of Social Sciences and Humanities Vol. 3 (2022): Proceedings of the 1st SENARA 2022
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pssh.v3i.196

Abstract

Indonesia is one of the developing countries that has a major problem, namely the relatively high unemployment rate. This high unemployment rate causes an open unemployment rate. The purpose of this study was to determine the extent of the influence of population, wages, and the human development index on the open unemployment rate in Central Java Province in 2016-2020. The open unemployment rate is the dependent variable, while the population, wages, and the human development index are independent variables. This study uses a quantitative descriptive approach with secondary data obtained from the Central Statistics Agency for a period of 5 years starting from 2016-2020 consisting of 35 districts/cities. The analytical technique used is panel data regression analysis using Eviews 9 software.
Co-Authors Aditama, Rifki Yudha Affan Bagus Santoso Agung Fadhila Putra Agus Dwi Anggono Agustin, Haslinda Yasti Ainafaid, Deviani Aji, Farhan Wahyu Aksel Rizky Ramadhan* Albidin, Verendra Noveta Amrina Rosada Andriyani, Rachma Fadia Anisa, Aulia Nurul Anma Dias Vidiana Annisa Nur Hidayah Arbaul Fauziah Atfinia, Neiska Syifa Azhar Alam AZIZAH, SALWA NUR Bagas Aji Ramadhan Daryono Soebagiyo Daryono Soebagyo Daryono Subagyo Dewi, Reny Fitria Dhea Nabilla Rossani Didik Iman Margatot Didit Purnomo Dita Wulandari DL, Wuryaningsih Donny Indra Ardhiansyah erna wati Fadhitama Farhan Saputra Fajar Rini Suhadi Fajar Widayat Novianto Fajar Widayat Novianto, Fajar Widayat Fatimah NH, Siti Favian Ardine Agathon Fifi Ramadanti Fiky Nila Mustika Fitya Mukti, Diah Afriani Handayani, Sri Hasmarin, Maulidyah Indira Herry Purnama Ibrahim Sorie Kamara Ika Silvitasari Ilham Hamdallah Inda Fresti Puspitasari Indra Din Maris Istiqomah, Hafizhah Nur Ita Iva Kuriah Javafelistca, Renasya Caesar Juliansyah, Onny Karel Milliano Hendika Khoiriyah, Sheni Umi Lia Sunny Nuraini Luh Putu Ratna Sundari Maharani, Inez Angela Eva Mahbuba, Laila Ayu Marwatika, Arum Maulidah IH Maulidiyah Indira Hasmarini Maulidyah Indira Hasmarini Mu’awanah, Elfi Muhammad Arif Muhammad Hasanudin, Muhammad Muhammad Muntahibun Nafis, Muhammad Muntahibun Muhammad Sholahuddin Muhsin, Fikri Zakaria Muhtadi Muhtadi Musrikah, Musrikah Mustika, Fiky Nila Muzakki Dwi Zulna, Aakif Niastuti, Shintia Nizam, Renaldi Sahrul Novia Atina Titania Nurcholis, Achmad Fauzan Zain Ardhi Nurul Pratiwi Oktaviani, Raihanah Aisyah Pertiwi, Mayang Umi Pramono, Wisma Angger Purwanto, Nanang Purwantoro - Puspita, Hapsari Ayu Putri, Tasya Berliana Rafiq Azzam Al Afif Renita, Ayu Repik Febriansah Rienadi, Novariani Putri Rini Kuswati S Soepatini Safira, Aulia Sari, Riana Julihan Sari, Sandra Dwita Septiyaningsih, Lili Setyawan, Sidiq Sholati, Saharani Neitha Siti Aisyah Siti Fatimah NH Siti Fatimah Nurhayati Siti Masitoh Sitti Retno Faridatussalam Sri Rahayu Ningsih Suratman, Asyifa Syauqi T Triyono Taman, Mona Refaat Tanti Azizah Tiara Oktafia Parastika Trian Gigih Kuncoro Vigita Liliyawati Denata Wardani, Fadilla Anjarika Kuswisnu Widawati, Yesi Wiguna, Aditama Chandra Wijayanto, Adi Winarno, Yoga Surya Nugroho Wuri Nur Indah Sari Yustika Supriyani Zahra Setia Ar Rasyiid