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All Journal Jurnal Ilmu Manajemen Profitability GOVERNANCE: Jurnal Ilmiah Kajian Politik Lokal dan Pembangunan Journal of Economics, Management and Accounting (JEMA)
Elisa Clara Saragih
Universitas Negeri Medan
Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Law, Crime, Criminology & Criminal Justice Social Sciences

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Analysis of the Effectiveness of the Government’s Social Food Assistance Program in Medan City: Community Poverty Review Study Muhammad Deni Damara; Elisa Clara Saragih; Novita Hotma Uli Sitanggang; Rut Afentina Sinambela; Hilkia Natasya Br. Ginting; Armin Rahmansyah Nasution
Jurnal Ilmu Manajemen Profitability Vol 8, No 2 (2024): AGUSTUS 2024
Publisher : Universitas Muhammadiyah Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26618/profitability.v8i2.13103

Abstract

Penelitian ini bertujuan untuk menganalisis efektivitas program bantuan sosial pangan pemerintah di Kota Medan dengan menggunakan studi wawasan kemiskinan masyarakat. Metode pengumpulan data yang digunakan dalam penelitian ini yaitu deskriptif kualitatif dengan menggunakan data sekunder yang diperoleh dari Badan Pusat Statistik (BPS). Adapun data yang digunakan untuk dijelaskan dalam penelitian ini adalah 1) Jumlah keluarga penerima manfaat program bantuan sosial pangan pemerintah di Kota Medan. 2) Realisasi anggaran program bantuan sosial pangan pemerintah di Kota Medan. 3) Tingkat kemiskinan masyarakat di Kota Medan. Hasil penelitian ini menunjukkan bahwa 1) Efektivitas program bantuan sosial pangan pemerintah di Kota Medan pada tahun 2019 hingga 2021 masih tergolong belum efektif dan efisien. 2) Program ini dapat dikatakan program yang kurang efektif dan efisien karena program tersebut kurang membantu masyarakat dalam peningkatan perekonomiannya.
Analysis of Factors Affecting Inequality in Indonesia Meisha Fatma Wijaya; Elisa Clara Saragih; Reneva Manurung; Juan Charlos Sibarani; Anisa Sanas Nalamjra
Journal of Economics, Management and Accounting (JEMA) Vol. 1 No. 02 (2024): Journal of Economics, Management and Accounting (JEMA)
Publisher : Devitara Innovations

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Abstract

This research aims to determine the influence of GRDP, government expenditure, population density, investment, and open unemployment on the Gini ratio in Indonesia during the period 2014–2023. The analysis technique uses E-Views 12 by selecting the Error Correction Model (ECM). Based on the results of the analysis, it can be concluded that the variables GRDP, population density, open unemployment, and government expenditures have a partial effect on the Gini ratio. Meanwhile, the investment variable has no partial effect on GRDP. In the GRDP variables, population density, open unemployment, government expenditures, and investment have a simultaneous influence on the Gini ratio.
ANALISIS PENGARUH JUMLAH TENAGA KERJA, NILAI INPUT DAN JUMLAH PERUSAHAAN TERHADAP NILAI TAMBAH INDUSTRI MANUFAKTUR MIKRO DAN KECIL DI INDONESIA Elisa Clara Saragih; Ainul Mardhiyah
GOVERNANCE: Jurnal Ilmiah Kajian Politik Lokal dan Pembangunan Vol. 13 No. 9 (2026): 2026 September
Publisher : Lembaga Kajian Ilmu Sosial dan Politik (LKISPOL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56015/gjikplp.v13i9.1239

Abstract

This study analyzes the effect of the number of workers, input value, and the number of firms on the value added of micro and small manufacturing industries (MSMI) in Indonesia at the provincial level during 2019–2024. The research is motivated by persistent disparities in value added across provinces, suspected to stem from differences in production capacity and firm structure. Using panel data covering 34 provinces over six years (204 observations), sourced from the Indonesian Central Bureau of Statistics (BPS), this study applies panel data regression analysis. The Chow and Hausman tests consistently selected the Fixed Effect Model (FEM) as the most appropriate estimation approach. Classical assumption tests, namely multicollinearity and heteroskedasticity, indicate the model is free from serious violations, with all Centered VIF values below 10 and all heteroskedasticity probabilities above 0.05. The estimation results show that the number of workers and input value have a positive and significant effect on value added, with probability values of 0.0011 and 0.0000, respectively, while the number of firms has no significant effect (probability of 0.7926). Simultaneously, the three independent variables significantly affect value added, shown by an F-statistic of 1001.827 with an Adjusted R-squared of 0.9944, meaning the model explains 99.44 percent of the variation in value added. These findings suggest production capacity, rather than sheer quantity of business units, is the primary determinant of value added in Indonesia's micro and small manufacturing sector.
Co-Authors Ainul Mardhiyah, Ainul Anisa Sanas Nalamjra Hilkia Natasya Br. Ginting Juan Charlos Sibarani Meisha Fatma Wijaya Muhammad Deni Damara Nasution, Armin Rahmansyah Novita Hotma Uli Sitanggang Reneva Manurung Rut Afentina Sinambela