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All Journal ECOPLAN : JOURNAL OF ECONOMICS AND DEVELOPMENT STUDIES IDEI: Jurnal Ekonomi & Bisnis Ekopem: Jurnal Ekonomi Pembangunan Journal of Economics Research and Policy Studies WELFARE Jurnal Ilmu Ekonomi Jurnal Ilmiah MEA (Manajemen, Ekonomi, dan Akuntansi) Jurnal Riset Daerah
Mukharohmah, Maulia Siti
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Agriculture, Biological Sciences & Forestry Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Public Health Social Sciences Other

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Analisis Modal Sosial dan Kemiskinan: Studi Cross Sectional 34 Provinsi di Indonesia Mukharohmah, Maulia Siti; Wulandari, Meisyaroh Catur; Naufal, Hanif Afif
Ecoplan Vol 7 No 2 (2024)
Publisher : Jurusan Ilmu Ekonomi dan Studi Pembangunan Fakultas Ekonomi dan Bisnis Universitas Lambung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/ecoplan.v7i2.738

Abstract

Research related to social capital and poverty is still rare in Indonesia. Thus, this research aims to analyze social capital by examining three dimensions: trust, social participation, and tolerance, as reflected in the social capital index, and their impact on poverty in Indonesia. This research involved secondary data from Statistics Indonesia in the book Social Capital Statistics, published in 2021. This research used three independent variables: the social capital index for trust, social participation, and tolerance. Meanwhile, the dependent variable was the percentage of poor people in each province in Indonesia. The data were analyzed using a multiple linear regression method with hypothesis testing, namely classical assumptions. The results showed that social capital, as described in the social capital index for trust and social participation, significantly influenced poverty reduction. Meanwhile, the social capital index for tolerance had a minimal effect. These findings suggest that government efforts should focus on increasing community participation to develop social capital as one of the efforts to deal with poverty alleviation in Indonesia.
Dampak upah minimum, IPM, dan partisipasi angkatan kerja terhadap pengangguran: Analisis data panel lima kabupaten Jawa Tengah Salsabila , ‘Ainun Hanum; Rahmatillah, Agisva Elvatikha; Arwansa, Damai; Mukharohmah, Maulia Siti; Septiani, Yustirania
Journal of Economics Research and Policy Studies Vol. 5 No. 1 (2025): Journal of Economics Research and Policy Studies
Publisher : Nur Science Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53088/jerps.v5i1.1864

Abstract

This study examines the factors influencing the open unemployment rate in five regencies—Brebes, Cilacap, Tegal, Pemalang, and Banyumas—during 2017–2023. These regions were selected due to their consistently higher unemployment rates than the national average. The variables analyzed include the Regency Minimum Wage, Human Development Index (HDI), and Labor Force Participation Rate (LFPR). The Random Effects Model (REM) conducted a panel data regression analysis. The results show that the minimum wage significantly affects the open unemployment rate, while HDI and LFPR have significant adverse effects. These variables explain a substantial portion of unemployment variation across the selected regencies. The findings suggest that policymakers should balance wage regulations, increase investment in education and health, and promote industrial development to support job creation. The results provide empirical insights to assist local governments, labor agencies, and other stakeholders in formulating evidence-based employment policies.
Kemiskinan di Indonesia: Analisis Faktor Ekonomi, Sosial Demografi dan Pendidikan Maulana, Winda; Putri, Jasmine Ahmadya; Saroh, Hikma May; Septiani, Yustirania; Mukharohmah, Maulia Siti
Ekopem: Jurnal Ekonomi Pembangunan Vol. 7 No. 2 (2025): Jurnal Ekonomi Pembangunan
Publisher : Program Studi Ekonomi Pembangunan Fakultas Ekonomi dan Bisnis Universitas Timor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32938/jep.v7i2.9665

Abstract

Kemiskinan merupakan permasalahan yang sudah berlangsung lama dan masih menjadi permasalahan utama yang sedang berlangsung di Indonesia. Tujuan dari penelitian ini adalah untuk mengkaji dampak faktor ekonomi, demografi, pendidikan, dan akses teknologi terhadap tingkat kemiskinan di 34 provinsi di Indonesia tahun 2020 sampai dengan tahun 2023. Variabel yang diteliti meliputi Laju PDRB, angka kelahiran, RLS, dan kepemilikan telepon seluler. Penelitian ini menggunakan metode kuantitatif dengan analisis regresi data panel menggunakan Fixed Effects Model, dan pengolahan data dilakukan dengan menggunakan perangkat lunak E-Views 12. Hasil penelitian menunjukkan bahwa RLS berpengaruh negatif dan signifikan terhadap kemiskinan, sedangkan Laju PDRB justru menunjukkan dampak positif yang signifikan. Angka kelahiran dan kepemilikan telepon seluler tidak menunjukkan dampak yang signifikan. Temuan tersebut menunjukkan bahwa peningkatan pendidikan memiliki peran penting dalam penanggulangan kemiskinan, sedangkan pertumbuhan ekonomi harus diarahkan agar lebih inklusif.  
PENGARUH TENAGA KERJA, MODAL DAN TEKNOLOGI TERHADAP PERTUMBUHAN EKONOMI INDONESIA Naufal, Hanif Afif; Lastuti, Yeti; Kusumaningrum, Alifah; Negara, Dwi Ringga Edwid Dian; Mukharohmah, Maulia Siti
Jurnal Ilmiah Manajemen, Ekonomi, & Akuntansi (MEA) Vol 9 No 2 (2025): Edisi Mei - Agustus 2025
Publisher : LPPM STIE Muhammadiah Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31955/mea.v9i2.6349

Abstract

This study aims to analyze the impact of capital, labor, and information and communication technology (ICT) on Indonesia’s long-term economic growth. Using annual time-series data from 1971 to 2024, the analysis applies an augmented Cobb-Douglas production function. Independent variables include gross fixed capital formation, labor productivity, and ICT-based capital services growth, with real GDP as the dependent variable. Initial estimates were conducted using OLS, followed by Prais-Winsten regression to correct for autocorrelation. The results show that all three variables have a positive and significant effect on economic growth. Capital contributes the most, followed by labor and technology. These findings highlight the importance of productive investment, human capital development, and digital technology adoption in achieving sustainable economic growth
ANALISIS DISPARITAS SEKTORAL UNTUK PENGENTASAN KEMISKINAN KABUPATEN BANTUL SAAT COVID-19 wulandari, meisyaroh catur; Wicaksono, Rayhan Arya; Mukharohmah, Maulia Siti
Jurnal Riset Daerah Vol 23 No 1 (2023): JURNAL RISET DAERAH
Publisher : Badan Perencanaan Pembangunan Daerah Kabupaten Bantul

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64730/jrdbantul.v23i1.87

Abstract

Community disparities are related to the existence of poverty in an area. So that a region needs to know how big the sectoral disparity is and know the potential of a region. During the Covid19 pandemic, Bantul Regency, which counted from 2020-2022, occupies the 2nd position in the Province of the Special Region of Yogyakarta with an average poverty rate of 138.59 thousand residents. This study aims to determine the level of sectoral disparities and map regional potential through the economic base sector of Bantul Regency during the Covid-19 pandemic in 2020-2022. The analytical tools used include theil entropy index analysis and location quotient (LQ) analysis. Sectoral disparity is below 0.5, meaning that economic disparity is still low, and it is known that the economic base sector includes agriculture, forestry and fisheries; processing industry sector; electricity and gas procurement sector; wholesale and retail trade sector as well as car and motorcycle repair; transportation and warehousing sector; the sector of providing accommodation and food and drink.
Analisis Determinasi Kemiskinan di Kabupaten/Kota Yogyakarta 2018–2023 Aeni, Amalia Nur; Rahmanella, Khaylila; Krishnaprabhacitta, Lintang; Septiani, Yustirania; Mukharohmah, Maulia Siti
WELFARE Jurnal Ilmu Ekonomi Vol 6, No 2 (2025): November
Publisher : Jurusan Ekonomi Pembangunan, Fakultas Ekonomi, Universitas Siliwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/wlfr.v6i2.15532

Abstract

Poverty remains a major issue in the Special Region of Yogyakarta (DIY), which has the highest percentage compared to other provinces on the island of Java. This condition indicates an inequality in welfare that needs to be studied, particularly in terms of education, health, and employment. This study aims to analyze the effect of Literacy Rate (LR), Life Expectancy (LE), and Open Unemployment Rate (OUR) on poverty levels in five districts/cities in DIY.  Using a quantitative approach with secondary panel data from the Central Statistics Agency (BPS), the analysis was conducted using Fixed Effect panel data regression through EViews 12 software. The results show that the OUR has a significant positive effect on poverty levels, while the LFR and HLE have a negative but insignificant effect. These findings confirm that unemployment is the most dominant factor in determining poverty levels in DIY. The implication is that poverty alleviation policies should focus on creating productive jobs, aligning education with labor market needs, and equalizing access to health care to strengthen the socio-economic resilience of the community. Kemiskinan masih menjadi isu utama di Daerah Istimewa Yogyakarta (DIY) yang persentasenya paling tinggi daripada provinsi lain di Pulau Jawa. Kondisi ini menunjukkan adanya ketimpangan kesejahteraan yang perlu dikaji, khususnya dari aspek pendidikan, kesehatan, dan ketenagakerjaan. Penelitian ini bertujuan untuk menganalisis pengaruh Angka Melek Huruf (AMH), Angka Harapan Hidup (AHH), dan Tingkat Pengangguran Terbuka (TPT) terhadap tingkat kemiskinan di lima kabupaten/kota di DIY.  Melalui pendekatan kuantitatif dengan data panel sekunder dari Badan Pusat Statistik (BPS), analisis dilakukan menggunakan regresi data panel model Fixed Effect melalui perangkat lunak EViews 12. Hasil penelitian menunjukkan bahwa TPT berpengaruh positif signifikan terhadap tingkat kemiskinan, sementara AMH dan AHH berpengaruh negatif namun tidak signifikan. Temuan ini menegaskan bahwa pengangguran merupakan faktor paling dominan dalam menentukan tingkat kemiskinan di DIY. Implikasinya, kebijakan pengentasan kemiskinan sebaiknya difokuskan pada penciptaan lapangan kerja produktif, penyelarasan pendidikan dengan kebutuhan pasar kerja, serta pemerataan akses kesehatan untuk memperkuat ketahanan sosial ekonomi masyarakat.
PENGARUH INDEKS PEMBANGUNAN MANUSIA, TINGKAT PENGANGGURAN TERBUKA, DAN LAJU PERTUMBUHAN PENDUDUK PADA PERSENTASE PENDUDUK MISKIN DI PULAU JAWA TAHUN 2017–2023 Prayogi, Arif; Anandira, Luna Mayang; Sipayung, Ade Sulastri; Septiani, Yustirania; Mukharohmah, Maulia Siti
IDEI: Jurnal Ekonomi & Bisnis Vol 6, No 2 (2025): DECEMBER 2025
Publisher : Insan Doktor Ekonomi Indonesia (IDEI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38076/ideijeb.v6i2.438

Abstract

Kemiskinan masih menjadi isu utama dalam pembangunan ekonomi di Pulau Jawa yang meskipun menjadi pusat pertumbuhan nasional, tetap menghadapi ketimpangan ke­sejah­­teraan antardaerah. Penelitian ini bertujuan untuk menganalisis pengaruh Indeks Pem­bangunan Manusia (IPM), Tingkat Pengangguran Terbuka (TPT), dan Laju Pertumbuhan Penduduk (LPP) pada persentase penuduk miskin di Pulau Jawa selama periode 2017 hingga 2023 dengan menggunakan metode regresi data panel dan pendekatan kuantitatif melalui model Fixed Effect Model (FEM). Penelitian menunjukkan bahwa IPM dan LPP berpengaruh negatif signifikan pada kemiskinan, sedangkan TPT berpengaruh positif signifikan. Hal ini menandakan bahwa peningkatan kualitas hidup dan produktivitas penduduk menurunkan kemiskinan, sementara pengangguran meningkatkan kemiskinan.Poverty remained a significant issue in Java's economic development, despite the island being the center of national growth, which continued to face disparities in regional welfare. This study aimed to analyze the effects of the Human Development Index (HDI), Open Unemployment Rate (OUR), and Population Growth Rate (PGR) on the percentage of poor population in Java Island during the period of 2017 to 2023 by employing a panel data regression method and a quantitative approach using the Fixed Effect Model (FEM). The study revealed that the Human Development Index (HDI) and Population Growth Rate (PGR) had a significant negative impact on poverty. In contrast, the Open Unemployment Rate (OUR) had a significant positive effect. This indicated that improvements in quality of life and population productivity reduced poverty, whereas higher unemployment increased it.
Co-Authors Aeni, Amalia Nur Alifah Kusumaningrum Anandira, Luna Mayang Arwansa, Damai Krishnaprabhacitta, Lintang Lastuti, Yeti Maulana, Winda Naufal, Hanif Afif Negara, Dwi Ringga Edwid Dian Prayogi, Arif Putri, Jasmine Ahmadya Rahmanella, Khaylila Rahmatillah, Agisva Elvatikha Salsabila , ‘Ainun Hanum Saroh, Hikma May Septiani, Yustirania Sipayung, Ade Sulastri Wicaksono, Rayhan Arya Wulandari, Meisyaroh Catur