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<![CDATA[ANALISIS HUBUNGAN LITERASI DIGITAL DAN LITERASI EKONOMI DENGAN KEBERLANGSUNGAN USAHA MIKRO DAN KECIL DI KOTA MALANG SELAMA MASA PANDEMI COVID-19 ]]>
<![CDATA[Ignatius Reynara]]>;
<![CDATA[Farah Wulandari Pangestuty]]>
<![CDATA[ Journal of Development Economic and Social Studies Vol. 2 No. 2 (2023) ]]>
Publisher : <![CDATA[Fakultas Ekonomi dan Bisnis Universitas Brawijaya ]]>
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<![CDATA[The objective of this research is to identify the relationship between digital and economic literacy and the sustainability of micro and small businesses in Malang City during the Covid-19 pandemic. This quantitative research uses primary data obtained from questionnaires and Spearman’s rank correlation for the data processing. Statistical descriptive method was also used to explain the data’s condition. This study finds that both digital and economic literacies have strong relationships with the sustainability of micro and small businesses in Malang City during the pandemic. Based on the findings, this research discovers a new capital, that is the knowledge capital, for micro and small entrepreneurs who are willing to maintain the sustainability of their business during the pandemic. They need to improve their digital and economic literacy in the operation and promotion of their business in order to maintain and develop their business.]]>
<![CDATA[ANALISIS PENGARUH TINGKAT PENGANGGURAN TERBUKA, TINGKAT PARTISIPASI ANGKATAN KERJA, UPAH MINIMUM, INDEKS PEMBANGUNAN MANUSIA, PERTUMBUHAN EKONOMI DAN JUMLAH PENDUDUK TERHADAP KEMISKINAN DI KAWASAN TAPAL KUDA ]]>
<![CDATA[Rafi Taufik Ashari]]>;
<![CDATA[Mohammad Athoillah]]>
<![CDATA[ Journal of Development Economic and Social Studies Vol. 2 No. 2 (2023) ]]>
Publisher : <![CDATA[Fakultas Ekonomi dan Bisnis Universitas Brawijaya ]]>
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<![CDATA[East Java Province is one of the areas with a high poverty rate (Giovanni, 2018). East Java BPS (2019) explains that East Java ranks first with the largest number of poor people in Indonesia, where in 2019 it touched 4.05 million people with the greatest poverty occupied by districts in the Horseshoe region. This high poverty rate places the problem of poverty as one of the priorities in every development. Therefore, it is necessary to measure the factors that influence poverty in the Horseshoe region. This research is a descriptive study using a quantitative approach. The data used is secondary data. The analysis used in this research is panel data regression analysis to measure the significance of the variable effect of Open Unemployment Rate, Labor Force Participation Rate, Minimum Wage, Human Development Index, Economic Growth and Population on Poverty in the Horseshoe Region. The results of the study reveal that the Open Unemployment Rate, Labor Force Participation Rate, Minimum Wage, HDI, Economic Growth and Population simultaneously have a significant effect on poverty in the Horseshoe Region. The Open Unemployment Rate significantly adds to the number of poverty in the Horseshoe Region. The decline in labor force participation adds to the amount of poverty in the Horseshoe Region. The Minimum Wage adds to the poverty rate in the Horseshoe Region. The decline in HDI adds to the amount of poverty in the Horseshoe Region. Increased economic growth adds to the amount of poverty in the Horseshoe Region. The increase in population adds to the amount of poverty in the Horseshoe Region.]]>
<![CDATA[ANALISIS DAMPAK ALIH FUNGSI LAHAN PERTANIAN KE NON PERTANIAN TERHADAP KESEJAHTERAAN PETANI PEMILIK LAHAN DI KELURAHAN TUREN KECAMATAN TUREN KABUPATEN MALANG ]]>
<![CDATA[Achmad Zaky]]>;
<![CDATA[Maryunani]]>
<![CDATA[ Journal of Development Economic and Social Studies Vol. 2 No. 2 (2023) ]]>
Publisher : <![CDATA[Fakultas Ekonomi dan Bisnis Universitas Brawijaya ]]>
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<![CDATA[This study aims to determine what factors encourage land-owning farming communities to carry out land conversion and to determine the impact of land-use conversion by land-owning farmers in Turen Village, Turen District, Malang Regency. The method used is descriptive quantitative. The results of this study indicate that the conversion of agricultural land to non-agricultural land that occurred in Turen Village, Malang Regency District, occurred due to 3 main factors, namely internal factors, external factors, and economic factors. These three factors are the main reasons for respondents to carry out land conversion. The conversion of the land function itself has an unfavorable impact on the level of welfare, especially at the income level of land-owning farmers in Turen Village. Because in total there were only 3 respondents or 20.0% of respondents who experienced an increase in income after carrying out land conversion.]]>
<![CDATA[EFISIENSI RELATIF BELANJA SEKTOR PUBLIK TERHADAP KESEJAHTERAAN MASYARAKATDI JAWA TIMUR: PENDEKATAN DATA ENVELOPMENT ANALYSIS (DEA) ]]>
<![CDATA[Rahma Dewi Pristian Putri]]>;
<![CDATA[Ferry Prasetyia]]>
<![CDATA[ Journal of Development Economic and Social Studies Vol. 2 No. 2 (2023) ]]>
Publisher : <![CDATA[Fakultas Ekonomi dan Bisnis Universitas Brawijaya ]]>
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<![CDATA[This study aims to measure the relative efficiency of public sector spending (health, education, and the economy) and determine the effect of the relative efficiency of public sector spending (health, education, and economy) as well as GRDP per capita and the Open Unemployment Rate (TPT) as control variables on the Human Development index (HDI) and Inclusive Economic Development Index (IPEI) in the East Java region in 2016-2020. This study uses the Data Envelopment Analysis (DEA) method and panel data regression analysis. The results showed that Batu City, Mojokerto City, and Blitar City each consistently performed relatively efficiently in health, education, and economic spending during the 2016-2020 period. In this case, the efficiency of public sector spending is indeed needed in improving people's welfare. The government is expected to improve the allocation of public sector spending that is more oriented towards the quality of health, education, and basic public infrastructure so that it not only meets the quantity target but also the quality target.]]>
<![CDATA[ANALISIS PENGARUH JUMLAH PERSEDIAAN BERAS DAN HARGA BERAS TERHADAP PEMBENTUKAN INFLASI DI PROVINSI DKI JAKARTA ]]>
<![CDATA[Rafli Rahman Farizi]]>;
<![CDATA[Yenny Kornitasari]]>
<![CDATA[ Journal of Development Economic and Social Studies Vol. 2 No. 2 (2023) ]]>
Publisher : <![CDATA[Fakultas Ekonomi dan Bisnis Universitas Brawijaya ]]>
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<![CDATA[The high price of rice spread to an increase in the price of goods. The inelasticity of the production of foodstuffs includes the growth rate of food production, which is slower than the rate of population growth and per capita income, resulting in the price of foodstuffs increasing more than the increase in the prices of other goods. It can lead to demands for an increase in employee wages, resulting in increased production costs because the total production costs have increased. This study aims to analyze the causal relationship between the amount of rice supply and the price of rice in DKI Jakarta Province, the causal relationship between rice prices and inflation in DKI Jakarta Province, and the causal relationship between the amount of rice supply and inflation in DKI Jakarta Province. The results showed 1) there is a two-way causality or reciprocal causality from the amount of rice supply and the price of rice; 2) the price of rice has a significant effect on inflation but inflation does not have a significant effect on the price of rice, so there is only one-way causality where only the price of rice affects inflation; 3) rice supply has no significant effect on inflation, and inflation does not have a significant effect on the rice supply variable so that there is no causality between the two variables. Further research can carry out research with similar variables over a longer period and use a wider range of variables.]]>
<![CDATA[PENGARUH MODAL MANUSIA TERHADAP PENDAPATAN DAERAH KABUPATEN BOJONEGORO TAHUN 2010-2021 ]]>
<![CDATA[Bagus Abdi Romadhoni]]>;
<![CDATA[Faishal Fadil]]>
<![CDATA[ Journal of Development Economic and Social Studies Vol. 2 No. 2 (2023) ]]>
Publisher : <![CDATA[Fakultas Ekonomi dan Bisnis Universitas Brawijaya ]]>
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<![CDATA[Increasing economic growth is the main goal of regional development, including the Bojonegoro Regency. However, according to the BPS of East Java Province, Bojonegoro Regency experienced a decline in economic growth in 2020 and 2021, namely around -0.04% and -5.04%. Even in 2021, Bojonegoro Regency will be the region with the lowest economic growth in East Java. Economic growth is influenced by many factors, some of which are educational factors, health factors, and labor factors. Therefore, this study was formed to know the effect of Net Enrollment Rate, Life Expectancy Rate, and Total Labor Force on the Gross Regional Domestic Product in Bojonegoro Regency in 2010-2021 with Inflation controlled. This study uses a quantitative method with Multiple Linear Regression Analysis. The sampling technique used in this study is the saturated sample technique or total sampling. The results of the analysis show that life expectancy and inflation have a significant negative effect, while net enrollment rates and total workforce have a significant positive effect on GRDP in Bojonegoro Regency in 2010-2021.]]>
<![CDATA[ANALISIS KINERJA KEUANGAN PERBANKAN SYARIAH DI INDONESIA SEBELUM DAN SELAMA MASA PANDEMI COVID-19 ]]>
<![CDATA[Rosita Putri Kirana]]>;
<![CDATA[Ajeng Kartika Galuh]]>
<![CDATA[ Journal of Development Economic and Social Studies Vol. 2 No. 2 (2023) ]]>
Publisher : <![CDATA[Fakultas Ekonomi dan Bisnis Universitas Brawijaya ]]>
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<![CDATA[The purpose of this study was to analyse the performance of Islamic financial banking in Indonesia both before and during the Covid-19 pandemic as measured using CAR, ROA, NPF, BPO, NOM and FDR ratios. The data analysis used is included in the quantitative type. The data source used in the form of monthly Islamic banking statistics for 2017-2022. The population in this study are all Islamic banks in Indonesia that are registered with the Financial Services Authority (OJK) for the 2017-2022 period. The analytical method test showed that there were significant differences in the CAR, ROA, NPF, BOPO, NOM and FDR ratios before and during the Covid-19 pandemic in Indonesia.]]>
<![CDATA[TREN PINJAMAN ONLINE DALAM MILENIAL: TELAAH KONTRIBUTOR INTERNAL DAN EKSTERNAL ]]>
<![CDATA[Bagus Rahmadyanto]]>;
<![CDATA[Marlina Ekawaty]]>
<![CDATA[ Journal of Development Economic and Social Studies Vol. 2 No. 2 (2023) ]]>
Publisher : <![CDATA[Fakultas Ekonomi dan Bisnis Universitas Brawijaya ]]>
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<![CDATA[The rise of loan service providers in the community, supported by shifts in consumption patterns, has succeeded in making people, especially the Millennial Generation, the primary consumers of the business. Known through the P2P lending system, which is often called pay later, it is a means of payment in various buying and selling platforms. However, different factors affect fintech lending usage in each city and community character. This study aims to determine the internal and external factors that affect fintech lending usage by the Millennial Generation in Malang City. This research uses quantitative and exploratory research approaches and questionnaires as research instruments. Through SPSS 26, data were processed using EVA data analysis techniques. The results of this study show three internal factors and two external factors that affect fintech lending usage in 65 respondents of the Millennial Generation in Malang City. This study's results can contribute to filling the research gap and referrals by loan service providers and OJK as a financial supervisor institution.]]>
<![CDATA[PENGARUH SEKTOR BASIS, MODAL, DAN TENAGA KERJA TERHADAP KONVERGENSI PERTUMBUHAN EKONOMI DI DKI JAKARTA ]]>
<![CDATA[Muthia Zahra]]>;
<![CDATA[Aminnullah Achmad Muttaqin]]>
<![CDATA[ Journal of Development Economic and Social Studies Vol. 2 No. 2 (2023) ]]>
Publisher : <![CDATA[Fakultas Ekonomi dan Bisnis Universitas Brawijaya ]]>
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<![CDATA[Convergence is a process where high economic growth reduces development inequality. Convergence occurs when poorer regions experience higher economic growth than richer regions. DKI Jakarta is a province that has high economic growth, but inequality between cities/regencies in DKI Jakarta from 2000 - 2010 is still high. This study uses the Fixed Effect Model (FEM) to see indications of convergence and the factors that influence it in DKI Jakarta during 2011-2021. The results showed that there was convergence between cities / regencies in DKI Jakarta Province, characterized by a negative and significant initial per capita income coefficient value. The base sector GRDP, capital, and labor variables are proven to be jointly able to influence economic growth and accelerate the half-life of convergence from 72 years to 9 years. Base sector income can significantly accelerate the convergence so that the policy of developing the tertiary sector in the city area; as well as the primary and secondary sectors in Kepulauan Seribu Regency as a base sector can be considered to accelerate convergence.]]>
<![CDATA[DETERMINAN KEMISKINAN PAD A6 PROVINSI DI PULAU JAWA TAHUN 2012-2021 ]]>
<![CDATA[refani camelia]]>;
<![CDATA[Khusnul Ashar]]>
<![CDATA[ Journal of Development Economic and Social Studies Vol. 2 No. 2 (2023) ]]>
Publisher : <![CDATA[Fakultas Ekonomi dan Bisnis Universitas Brawijaya ]]>
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<![CDATA[Poverty is a global problem that is a widespread phenomenon that occurs in many countries. Poverty is one of the factors to see the welfare of the people in a region. The poverty condition of a country is a reflection of the welfare level of the country's population. The purpose of this study is to determine the determinants of poverty in 6 provinces in Java Island in 2012-2021. Java Island was chosen because among other islands, Java Island is a more productive island but one of its provinces has a percentage rate of poor people of more than 10% in 10 years. The influential factors in this study that affect poverty include the level of investment, education with the average years of schooling indicator, and the provincial minimum wage. The type of data used is panel data with a cross-section of 6 provinces from 2012-2021. The research method used is panel data regression analysis. The regression results show that the education variables have no effect on poverty, while the investment and minimum wage variable has an effect on poverty. For the F test, it can be seen that the three independent variables jointly affect the dependent variable.]]>
