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All Journal Jurnal Sosial Ekonomi Pertanian Journal on Education Jurnal Ekonomi Pembangunan Jurnal EK dan BI Journal Informatic, Education and Management (JIEM) Economics and Digital Business Review Jurnal PKM Manajemen Bisnis Eduvest - Journal of Universal Studies Jurnal Manajemen, Ekonomi, Hukum, Kewirausahaan, Kesehatan, Pendidikan dan Informatika (MANEKIN) Revenue Journal: Management and Entrepreneurship JEBD Al-Zayn: Jurnal Ilmu Sosial & Hukum International Journal of Business and Quality Research International Journal of Economics, Education, Law and Social Sciences (IJEELSC) IJEMA
Dedy Yuliawan
Universitas Lampung
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Neuroscience Social Sciences Other

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DETERMINANTS OF INCOME INEQUALITY IN INDONESIAN PROVINCES: EVIDENCE FROM SYSTEM GMM Anika Cahya Safitri; Dedy Yuliawan
Journal Informatic, Education and Management (JIEM) Vol 8 No 2 (2026): AUGUST
Publisher : STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61992/jiem.v8i2.377

Abstract

Income inequality remains a critical structural challenge in Indonesia, particularly across the major islands of Sumatra, Java, and Kalimantan. This study analyzes the determinants of income inequality in 21 provinces across these three islands from 2015 to 2024, using the Generalized Method of Moments (GMM) dynamic panel approach developed by Arellano and Bond (1991). The dependent variable is the Gini Ratio, while the independent variables consist of Economic Growth (GRDP per capita), Open Unemployment Rate (OUR), Mean Years of Schooling (MYS), and Poverty Rate. The study employs a dynamic panel model to address endogeneity problems and capture the persistence of income inequality over time. Results indicate that the lagged Gini Ratio, the Open Unemployment Rate, Mean Years of Schooling, and Poverty Rate have statistically significant effects on income inequality, while Economic Growth does not show a significant direct effect. The GMM model's validity is confirmed through the Arellano-Bond AR(2) test and the Hansen overidentification test. These findings underscore the importance of inclusive growth policies, expanded educational access, and poverty reduction programs to achieve more equitable income distribution across Indonesian provinces.
The RUPIAH EXCHANGE RATE DYNAMICS: EVIDENCE FROM TOURISM, MONETARY FACTORS, AND OIL PRICE VOLATILITY Eva Annisa; Dedy Yuliawan
Journal Informatic, Education and Management (JIEM) Vol 8 No 2 (2026): AUGUST
Publisher : STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61992/jiem.v8i2.378

Abstract

This study examines the impact of foreign tourist arrivals (WIS), money supply (JUB), foreign exchange reserves (CADEV), and the Oil Volatility Index (OVX) on the Indonesian Rupiah exchange rate (IDR/USD) from January 2015 to December 2024 using the Autoregressive Distributed Lag (ARDL) approach. The results indicate the existence of a long-run cointegrating relationship among the variables. In the short run, an increase in foreign tourist arrivals tends to strengthen the Rupiah, while increases in money supply and OVX lead to Rupiah depreciation. Meanwhile, foreign exchange reserves play a significant role in stabilizing and strengthening the Rupiah. In the long run, only money supply and foreign exchange reserves have a statistically significant effect on the exchange rate, whereas the effects of foreign tourist arrivals and OVX are temporary. The Error Correction Term (ECT) coefficient of −0.314825 indicates that approximately 31.48% of short-run disequilibrium is corrected each month, implying that the adjustment toward long-run equilibrium takes about three months. The model explains 61.23% of the variation in exchange rate movements. These findings provide important policy implications for Bank Indonesia, Ministry of Tourism of the Republic of Indonesia, and financial market participants in maintaining exchange rate stability.
Influence Human Development Index, Open Unemployment Rate, and Product Gross Regional Domesticity Per Capita on Poverty in Indonesia Gharas Umara; Toto Gunarto; Dedy Yuliawan
Revenue Journal: Management and Entrepreneurship Vol 2 No 1 (2024): Revenue Journal: Management and Entrepreneurship
Publisher : CV. Bimbingan Belajar Assyfa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61650/rjme.v2i1.561

Abstract

Poverty problem has become a problem in societies and countries in this world. Indonesia continues to try to get out of the poverty zone, and the government at the central and regional levels is carrying out various efforts and programs to lower poverty in Indonesia. This research was conducted to see the influence of human development index (HDI) data, unemployment rate open (TPT), and GDP per capita of 34 Provinces in Indonesia on the Number of Poor populations of 34 Provinces in Indonesia in 2022. This research uses a quantitative method with a descriptive approach. The data source in this research is secondary data from the Central Statistics Agency (BPS) in the form of data on the number of poor people in 34 provinces in Indonesia, and data on 34 provinces in Indonesia human development index (HDI), unemployment rate open (TPT), and GDP per capita originate from the Central Statistics Agency (BPS). All research results, which are variable independent in this study, have a simultaneous relationship with the number of poor people. The Human Development Index (HDI) is negative and significant in a way statistics on the number of poor people, the open unemployment rate (TPT) has an influence positive and essential in a way statistics on the number of poor people and GDP per capita influential negative and significant in a way statistical to the total poor population.
The Influence of Digital Technology on Economic Growth in 8 Asean Countries Diana Berliyani; Dedy Yuliawan; Toto Gunarto
Revenue Journal: Management and Entrepreneurship Vol 2 No 2 (2024): Revenue Journal: Management and Entrepreneurship
Publisher : CV. Bimbingan Belajar Assyfa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61650/rjme.v2i2.564

Abstract

This study explores the impact of individual internet usage, foreign direct investment, and average years of schooling on economic growth in the ASEAN region during the period 2014-2020. The panel regression analysis method was employed to analyze secondary data obtained from the World Bank and UNDP. The results of the fixed-effects regression model indicate that the variables of individual internet usage (IUI) and foreign direct investment (FDI) have a positive and significant impact on economic growth, while the average years of schooling (MYS) do not have a significant impact. These findings are consistent with previous research findings indicating that internet usage and foreign direct investment significantly contribute to economic growth in the region. However, the average years of schooling do not have a significant influence on economic growth in this study's context. The study shows that internet usage and foreign direct investment have a significantly positive impact on economic growth in ASEAN, while the average years of schooling do not have a significant effect. These findings imply that economic development policies in ASEAN should focus on enhancing technology infrastructure and investment environments, as well as reevaluating the education system.
The Effect of Electricity Consumtion, FDI, and Unemployment on Economic Growth in Indonesia 1990-2021 Adi Rahmansyah; Dedy Yuliawan; Toto Gunarto
Revenue Journal: Management and Entrepreneurship Vol 2 No 1 (2024): Revenue Journal: Management and Entrepreneurship
Publisher : CV. Bimbingan Belajar Assyfa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61650/rjme.v2i1.568

Abstract

The traditional economic growth hypothesis was created by experts known as the old economist analysts, pioneered by Adam Smith, Robert Malthus, David Richardo, and John Stuart Plant. Given the traditional hypothetical assumptions, economic development is influenced by several variables, including the number of workers seen from the population, the amount of capital, geographical area, and technological development. Economic growth displays how monetary applications increase income or payments for a local area from one period to another. The economic case in Indonesia is still happening now; looking at what aspects affect economic growth, this study examined the variables of Electricity Consumption, FDI, and Unemployment. This exploration uses time series data regression, quantitative methods, and secondary data from the Ministry of Energy and Mineral Resources (MEMR), Central Bureau of Statistics (BPS), and World Development Indicator data from 1990-2021. The data is examined using Eviews 12 software. The experimental results show that the variables of electricity consumption and FDI affect economic growth in Indonesia positively and significantly, while unemployment affects economic growth in Indonesia negatively and significantly for the period 1990-2021.
ARIMA-ARCH-Based Economic Growth Prediction for Lampung Province Gitara Dhea Pramudita; Dedy Yuliawan
International Journal of Business and Quality Research Vol. 4 No. 03 (2026): July - September, International Journal of Business and Quality Research (IJBQ
Publisher : Citakonsultindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63922/ijbqr.v4i03.5516

Abstract

Economic growth is an important indicator of regional economic performance and is influenced by dynamic changes over time. This study aims to analyze the forecasting of economic growth in Lampung Province using the ARIMA-ARCH method. The study uses quarterly secondary data on Lampung Province's economic growth derived from Gross Regional Domestic Product (GRDP) at constant prices for the period 2010Q1–2025Q4. The analysis was conducted using the EViews 10 software through several stages, including stationarity testing, ARIMA model identification, parameter estimation, diagnostic testing, ARCH-LM testing, and the formation of the ARIMA-ARCH model. The results indicate that the ARIMA(1,0,0) model is the most appropriate model for describing the mean process of economic growth. The ARCH-LM test indicates the presence of conditional heteroskedasticity in the ARIMA residuals, so the analysis is continued using the ARCH model. The ARIMA(1,0,0)-ARCH(1) model is selected as the final model because the parameters are statistically significant and the model provides a parsimonious representation of the residual volatility. The resulting model is then used to forecast Lampung Province's economic growth for the period 2026Q1–2027Q4. The findings are expected to provide information that can support regional economic planning and policy formulation.
Co-Authors Adelia Putri Anggraini Adi Rahmansyah Ammar Noufal Siddiq Andrian, Thomas Anika Cahya Safitri Arivina Ratih Arivina Ratih Y.T Arivina Ratih Yulihar Taher Asih Murwiati Asih Murwiati Ciptawaty, Ukhti Diana Berliyani Doni Ardiansyah Eriddunan Risvenjaya Eva Annisa Falia Azzahra Delawa Fina Arkakiyah Gharas Umara Ghirrid Farras Natacia Gitara Dhea Pramudita HERU WAHYUDI Intan Ambarsari Sihaloho Marselina Marselina Martha Della Puspita Meikanur Sidiq Mellani Indrie Pramudita Moneyzar Usman Moniyana, Resha Muhammad Fajar Ramadhan Muhammad Husaini Muhidin Sirat Nabila Assyifa Nadila Fitriansyah Neli Aida Niken Ayudia Puspatriani Damayanti Raka Rifaldi Racsyah Raka Rifaldi Racsyah Ramadan Putra Agusti Riesty Yunda Sari Tetiyeni Dwi Lestari Toto Gunarto Toto Gunarto Toto Gunarto Toto Gunarto Veronica Wanniatie Wulan Kurniasari Yulian Herdianto