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Determinan Produk Domestik Regional Bruto (Studi Kasus Provinsi Sulawesi Tengah 2014-2021) Wiradinata Lambok Silaban; Masruri Muchtar; Pardomuan Robinson Sihombing
Jurnal Ilmu Ekonomi dan Sosial (JIES) Vol 11, No 3 (2022): November 2022 (in press)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/jies.v11i3.17855

Abstract

Provinsi Sulawesi Tengah adalah provinsi yang berhasil menorehkan pertumbuhan ekonomi yang positif bahkan ketika pandemi COVID-19 dengan pertumbuhan ekonomi tertinggi di tahun 2021. Penelitian ini bertujuan untuk menganalisis faktor-faktor yang memengaruhi PDRB Provinsi Sulawesi Tengah selama tahun 2014-2021. Variabel dependen dalam penelitian ini adalah PDRB Provinsi Sulawesi Tengah, sedangkan variabel independennya adalah IPM, jumlah penduduk, PAD, belanja daerah, penanaman modal asing, dan penanaman modal dalam negeri. Penelitian ini menggunakan data panel dengan regresi linear berganda. Hasil penelitian menunjukkan bahwa IPM, PAD, belanja daerah, dan PMA berpengaruh positif dan signifikan, jumlah penduduk berpengaruh negatif dan tidak signifikan, sementara itu PMDN berpengaruh positif dan tidak signifikan terhadap PDRB Provinsi Sulawesi Tengah. Hasil penelitian ini diharapkan dapat menjadi masukan bagi Pemerintah Provinsi Sulawesi Tengah dalam merumuskan kebijakan untuk meningkatkan pertumbuhan ekonomi semakin baik.      
ANALISIS PENGARUH IPM, PENGANGGURAN, DAN PDRB TERHADAP KEMISKINAN DI PROVINSI SUMATERA UTARA TAHUN 2017-2021 Muhammad Ramadhan Zulfi; Masruri Muchtar; Pardomuan Robinson Sihombing
Jurnal Ekonomi dan Bisnis Vol 26, No 1 (2023): JURNAL EKONOMI DAN BISNIS MARET 2023
Publisher : Fakultas Ekonomi dan Bisnis Universitas Pekalongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31941/jebi.v26i1.2817

Abstract

his research aims to determine the effect of the human development index, open unemployment rate and economic growth on the poverty rate in North Sumatra Province. This study uses secondary data from districts/cities in North Sumatra Province in a span of 5 years from 2017 to 2021. The research was conducted using panel data regression with a random effect model. Based on the research results, it was found that the three independent variables simultaneously influenced the dependent variable. Partially, the HDI variable has a negative and significant effect on the poverty rate in North Sumatra Province. The open unemployment rate variable has a positive and significant effect on the poverty rate. However, the economic growth variable has a positive and significant effect on the poverty rate. HDI has the biggest influence compared to the other two variables. The government can encourage increasing the HDI of its people to reduce poverty. In addition, the government must also reduce unemployment rate and carry out economic equity to reduce poverty.Keywords: economic growth, human development index, poverty, unemployment
Apakah IPM, Tingkat Urbanisasi dan Pertumbuhan Ekonomi Mempengaruhi Kemiskinan di Provinsi Jawa Timur ? Avior Ocean Noya; Masruri Muchtar; Pardomuan Robinson Sihombing
Jurnal Manajemen Publik dan Kebijakan Publik (JMPKP) Vol. 5 No. 1 (2023): Jurnal Manajemen Publik dan Kebijakan Publik (JMPKP)
Publisher : Program Studi Administrasi Publik Universitas Muhamamdiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jmpkp.v5i1.4779

Abstract

Penelitian ini bertujuan untuk mengetahui seberapa besar pengaruh tingkat urbanisasi, IPM dan pertumbuhan ekonomi terhadap tingkat kemiskinan di Provinsi Jawa Timur. Variabel dependen yang digunakan dalam penelitian ini adalah tingkat kemiskinan, sedangkan variabel independen yaitu urbanisasi, indeks pembangunan manusia dan pertumbuhan ekonomi. Penelitian menggunakan data sekunder kabupaten/kota yang ada di Provinsi Jawa Timur dalam rentang waktu 9 tahun dari 2012 hingga 2020. Metode statistik yang digunakan adalah metode kuantitatif dengan regresi linier berganda dengan data panel. Berdasarkan pengujian, digunakan Fixed Effect Model. Secara simultan seluruh variabel berpengaruh terhadap kemiskinan. Secara parsial, ketiga variabel berpengaruh signifikan negatif terhadap kemiskinan.   Berdasarkan hasil penelitian ini, pemerintah diharapkan tidak hanya berfokus pada pertumbuhan ekonomi namun juga pengendalian tingkat urbanisasi dan peningkatan IPM.
Pengaruh Jumlah Penduduk, Tingkat Pengangguran Terbuka, dan Pendidikan Terhadap Kemiskinan di Indonesia Muhammad Hafiz Fadhilah; Masruri Muchtar; Pardomuan Robinson Sihombing
Jurnal Manajemen Publik dan Kebijakan Publik (JMPKP) Vol. 5 No. 1 (2023): Jurnal Manajemen Publik dan Kebijakan Publik (JMPKP)
Publisher : Program Studi Administrasi Publik Universitas Muhamamdiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jmpkp.v5i1.4782

Abstract

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.
Analisis Pengaruh Tingkat Pendidikan terhadap Kemiskinan di Indonesia Periode 2015-2021 Sinarta Putra P. Surbakti; Masruri Muchtar; Pardomuan Robinson Sihombing
Ecoplan Vol 6 No 1 (2023)
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.v6i1.631

Abstract

This research aims to know the effect of education level on poverty in Indonesia for the 2015-2021 period. The study was conducted using a panel data regression random effect model. The results showed that the level of education indicated by the average length of schooling, literacy rate, and the number of poor people in the previous year simultaneously affected the number of poor people. Separately (partially), literacy rates have an inversely (negative) effect on the number of poor people. Conversely, the average length of schooling has a direct (positive) effect on the number of poor people. Based on this research, the government is expected to focus on quality and effectiveness in the education system in Indonesia. Quality education can be achieved by equal distribution of primary-level schools and by improving teaching staff quality. The government can also encourage the improvement of the Sekolah Menengah Kejuruan (SMK) program, which provides applied knowledge and added economic power to its graduates.
Pandangan Model Dua-Sektor Lewis dan Model Solow terhadap Pertumbuhan Ekonomi Indonesia Hendiva Tri Nugraha; Masruri Muchtar; Pardomuan Robinson Sihombing
Ecoplan Vol 6 No 1 (2023)
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.v6i1.632

Abstract

This study aims to acknowledge the effect of applying the two-sector Lewis and Solow neoclassical growth model in Indonesia’s economic growth. The variables are Urbanization Rate, Labor in Industry Sector, Human Development Index, Total Factor Productivity, and GDP. The research model is an associative quantitative method with multiple linear regression on time series data. The result showed that all variables simultaneously affect GDP significantly. Urbanization (partially) affects GDP positively and significantly. Labor in Industry Sector (partially) doesn’t affect GDP. HDI doesn’t affect GDP. TFP affects GDP positively and considerably at a 90% confidence level. According to this research, the Indonesian Government should increase the quality of their labor, especially in the industry sector. Further research is expected to add more variables that represent both models.
Determinan Produk Domestik Bruto di Provinsi Bali Tahun 2014-2019 Desak Ari Gita Wahyuni; Masruri Muchtar; Pardomuan Robinson Sihombing
Jurnal Ekonomi Dan Statistik Indonesia Vol 3 No 1 (2023): Berdikari: Jurnal Ekonomi dan Statistik Indonesia (JESI)
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/jesi.03.01.02

Abstract

This study aims to analyze the components of the Human Development Index on Gross Regional Domestic Product (GRDP) in Bali during the 2014-2019 period. The data used are time series and cross section obtained and processed from the Central Bureau of Statistics. Through a quantitative descriptive approach, this study uses multiple linear regression methods on panel data with the selected estimation model being the Fixed Effect Model. The results showed that the dependent variable of GRDP could be explained by independent variables by 92.03 percent and 7.97 percent of it was influenced by other variables outside this research model. Mean Years School and Life Expectancy variable have a positive effect on GRDP while the Labor Force Participation Rate variable has a negative and insignificant effect on GRDP. Government policies are needed to support equitable distribution of human development in each region
Pengaruh Pengangguran, Kemiskinan, Indeks Pembangunan Manusia, dan Populasi Terhadap Pertumbuhan Ekonomi di Provinsi Kalimantan Tengah Dhinnessa Prabowo; Masruri Muchtar; Pardomuan Robinson Sihombing
Jurnal Ekonomi Dan Statistik Indonesia Vol 3 No 1 (2023): Berdikari: Jurnal Ekonomi dan Statistik Indonesia (JESI)
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/jesi.03.01.03

Abstract

The success or downturn of a country's economy can also be measured by its economic growth rate. This study aims to analyze the influence of unemployment rate, poverty, human development index, and population on economic growth, especially in 14 districts/cities of Central province. Kalimantan for the period 2017-2019. The technique used is a regression analysis of panel data with the best model being the fixed effects model (FEM). The test results show that all variables simultaneously affect economic growth. Partially, unemployment and HDI have negative and insignificant effects on economic growth. Second, poverty has a negative and significant impact while the population has a positive and significant impact on economic growth. Based on the findings of this study, it is recommended from the findings of this study that policies are needed to reduce poverty while increasing population so that economic growth can continue to increase.
Pengaruh Pajak Karbon, Penggunaan Bahan Bakar Fosil, Dan Pertumbuhan PDB Terhadap Emisi Karbon Pradita Galih Sekar Palupi; Masruri Muchtar; Pardomuan Robinson Sihombing
Jurnalku Vol 3 No 2 (2023)
Publisher : PT Wim Solusi Prima

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54957/jurnalku.v3i2.385

Abstract

Penelitian ini menguji pengaruh pajak karbon, penggunaan bahan bakar fosil, dan pertumbuhan PDB terhadap emisi karbon. Sampel yang digunakan yaitu 12 negara Eropa dalam kurun waktu 2016 – 2020. Metode analisis yang digunakan dalam penelitian ini yaitu analisis regresi linear berganda menggunakan data panel. Hasil penelitian menunjukkan bahwa penggunaan gas alam dan minyak bumi menjadi variabel yang memengaruhi emisi karbon yang menyebabkan pemanasan global. Kenaikan 1% dari penggunaan gas alam akan meningkatkan emisi karbon sebesar 0,24% dan kenaikan 1% dari penggunaan minyak bumi juga akan meningkatkan emisi karbon sebesar 0,71%. Penelitian ini juga memberikan rekomendasi terhadap kebijakan fiskal yang dapat diterapkan di Indonesia terkait upaya pemerintah untuk mengurangi emisi karbon.
Analisis Pengaruh Indeks Pembangunan Manusia, Laju Pertumbuhan Penduduk, dan Tingkat Pengangguran Terbuka terhadap Kemiskinan di DKI Jakarta Rama Bhaskara Praja; Masruri Muchtar; Pardomuan Robinson Sihombing
Ecoplan Vol 6 No 1 (2023)
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.v6i2.656

Abstract

The poverty rate has increased rapidly again due to the Covid-19 Pandemic. DKI Jakarta is one of the top 5 provinces with the lowest poverty rate in Indonesia, even though it has high complexity in administering its government. Because of these achievements, this study aims to find factors that influence poverty so that it can become a reference for other local governments in alleviating poverty. This research was conducted using panel data regression with a fixed effect model. The results showed that simultaneously poverty headcount index in the t-1 period, human development index (HDI), open unemployment rate, and population growth rate significantly affect the poverty headcount index. While partially, open unemployment and population growth rate positively and significantly affect the poverty headcount index. On the other hand, the poverty headcount index in the t-1 period and HDI positively and insignificantly affect the poverty headcount index. This research shows that local governments must focus more on policies to reduce unemployment and population growth rate in the context of alleviating poverty.