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Showing 372 articles found for "Regression"

Analysis of Economic Growth in ASEAN Members

Sugiyanto, Rama, Budiarty, Ida, Yuliawan, Dedy
Abstract: The goal of the study is to analyze the factors that impact Gross Domestic Product (GDP) in five ASEAN countries from 2016 to 2022. The independent variables in this model are Export, Education (EDU), and Industry. This… study employs a quantitative approach and uses panel data regression. The estimation results indicate that exports positively and significantly to economic growth. In contrast, education has a negative and significant effect on economic growth. Industry variable has a positive but insignificant impact on economic growth. The model uses the Fixed Effects Model (FEM), and the adjusted R-squared is 0.4694. These findings suggest that increasing exports contributes to economic growth. However, education should be aligned with industry needs, and the industrial sector must adapt to updated technologies to avoid deindustrialization.

Analysis of Economic Growth, Minimum Wage, Unemployment, and HDI on Income Distribution Inequality in Sulawesi

Fahrur Rozi, Muhammad, Dwi Atmanti, Hastarini
Abstract: This study aims to analyze the influence of economic growth, minimum wage, unemployment, and the Human Development Index on income distribution inequality in 6 provinces in Sulawesi during the period 2013-2023. This study… y uses quantitative analysis with the panel data regression analysis method using the Random Effect Model (REM). The data for this research is secondary data obtained from the Central Statistics Agency of Indonesia. The research results show that simultaneously, independent variables have a significant effect on the dependent variable. However, partially, economic growth and the minimum wage have a negative and significant effect on income distribution inequality, while unemployment and the human development index do not affect income distribution inequality. The results of the coefficient of determination test show that the independent variables explain 49% of their influence on the income inequality variable, while the remaining 51% is explained outside the variables.

The Effect of Managerial Overconfidence on Firm Performance in Emerging Market Asia

Yuniar Prastika, Frida, Warokka, Ari, Nazir Ahmad, Gatot
Abstract: CEO Overconfidence plays an important role in determining company performance, especially in the Emerging Market Asia period 2010-2019 in the manufacturing, energy, health, and technology sectors. This study uses secondary… ry data taken from Refinitiv Eikon Financial Analysis. This study aims to determine the effect of managerial overconfidence on company performance as proxied by Return on Asset (ROA), Tobin's Q, and Debt to Equity Ratio (DER). This study uses the Principal Component Analysis (PCA) technique and panel data regression. The results of the study indicate that managerial overconfidence has a significant effect on ROA. However, managerial overconfidence does not have a significant effect on Tobin's Q and DER. This explains that managerial overconfidence can directly affect company performance.

The Effect of Budget Participation and Budget Feedback on School Quality High School/Vocational in Medan City

Wardani Pulungan, Rafika, Situmeang, Chandra, Ishak, Muhammad
Abstract: The problem in this study is the relatively low Quality of Private Senior High Schools/Vocational High Schools in Medan City. Many factors can affect the quality of a school, including budget participation and budget feedback.… dback. This study aims to test the effect of Budget Participation and Budget Feedback on the Quality of Private Senior High Schools/Vocational High Schools (SMA/SMK) in Medan City. The population of this study was all Private Senior High Schools/Vocational High Schools in Medan City totaling 405 schools, of which 157 were Private Vocational High Schools and 248 were Private High Schools. The research sample was 35 schools using the Simple Random Sampling Method, with a quantitative research type. The data used are primary and secondary data. Primary data were obtained through direct distribution of questionnaires to respondents (research subjects), while secondary data were obtained from https://bansm.kemdikbud.go.id/. The independent variables used are Budget Participation (PA) and Budget Feedback (UA). The dependent variable used is School Quality (KS). This study uses multiple linear regression analysis techniques using the SPSS statistical test tool. Based on the results of partial and simultaneous tests, this study shows that Budget Participation and Budget Feedback have a significant effect on School Quality. This is evidenced by partial testing (t-test) of Budget Participation of 0.026 or less than 0.05, and Budget Feedback of 0.035 or less than 0.05. Then, the simultaneous significance value (F test) of 0.045 or less than 0.05. The conclusion of this study shows that the effect of budget participation and budget feedback on school quality shows significant results.

Technology Integration in Economic Education

Alhidayatullah, Alhidayatullah, Madhakomala, R.
Abstract: The incorporation of technology in economic education yields numerous advantages, such as enhanced accessibility, more engaging instruction, and the cultivation of data analytic competencies pertinent to the professional… realm. Numerous studies address the incorporation of technology in education; nevertheless, research focusing on the integration of technology in economic education remains few. This study is to examine and elucidate the use of technology in economic education. The employed research methodology was quantitative, utilizing a sample of 142 participants, comprising lecturers and students from the 3rd, 5th, and 7th semesters of the Faculty of Economics at the University of Muhammadiyah Sukabumi. The data gathering method is a questionnaire disseminated to participants via Google Forms, while the data analysis employs multiple linear regression. The study's results indicate a substantial favorable impact of technology integration in economic education, with an influence of 67%. This research contributes by providing references in education, particularly with the incorporation of technology in economics instruction.

Analysis of The Influence of Digital Infrastructure on Students' Learning Outcomes at Al-Birru Elementary School, Sukabumi District

Abdul Aziz, Muh, Rinawati, Rinawati, Madhakomala, R.
Abstract: This study aims to analyze the effect of digital infrastructure on student learning outcomes at SD Albirru, Sukabumi Regency. Adequate digital infrastructure is believed to increase the effectiveness of learning, which leads… eads to improved student academic outcomes. This study uses a quantitative approach with a descriptive correlational research design. The research sample consisted of teachers and parents of students involved in digital learning at SD Albirru, with a total of 50 respondents selected using a census sampling technique where the entire population was sampled. Data were collected through closed questionnaires that had been tested for validity and reliability, then analyzed using multiple regression with the help of SPSS 26. The results of the study indicate that digital infrastructure has a significant positive effect on student learning outcomes, where improving the quality of digital infrastructure (such as stable internet access, adequate hardware, and digital learning platforms) contributes to improving student academic outcomes. This finding is in line with previous studies that emphasize the importance of digital infrastructure in supporting more effective learning. Based on the results of the study, it is recommended to improve the quality of digital infrastructure in schools to create a more interactive and enjoyable learning environment. This study also contributes to the development of technology-based education policies at the elementary school level.

The Effect of Agricultural Infrastructure Policies on Rice Production in Indonesia

Ifani, Ifani, Sartiyah, Sartiyah, Ernawati, Ernawati
Abstract: The purpose of this study is to analyze how government policies related to agricultural facilities and infrastructure have an impact on rice production in Indonesia. This study uses panel data from 34 provinces in Indonesia… sia observed for 8 years from 2015 to 2022. Maximum Likelihood (M) Robust Least Square Method (RLS) regression method was used in this study. The results showed that all variables studied, namely extension, irrigation development, reservoir development, tractor assistance, and subsidized fertilizer, had a positive impact on rice production in Indonesia. Therefore, to achieve food security and improve the economy of farmers, the government must continue and develop these agricultural policies.

The Effect of Social Support on Stress in Daughters-in-Law Living with In-Laws

Juniarti, Riska, Arsi, Qisthina, Sumarni, Novi
Abstract: Marriage often requires couples to make significant adjustments, including co-residing with in-laws. This study explores the relationship between social support and stress among 97 daughters-in-law living with their in-laws.… aws. Using purposive sampling, we adapted and modified measurement tools: Mayanti (2019) for social support (reliability coefficient: 0.952, 28 valid items) and Shabrina (2017) for stress (reliability coefficient: 0.926, 39 valid items). Regression analysis revealed a significant negative relationship between social support and stress (p = 0.000, β = -0.489). Social support accounted for 42.8% of stress variance, leaving 57.2% attributed to other factors. Findings indicate that high social support reduces stress levels, whereas low social support increases stress. Among respondents, 54.6% experienced high stress, while 45.4% reported low stress. This study emphasizes the critical role of social support in mitigating stress for daughters-in-law cohabiting with in-laws.

The Effect of Village Funds, Labor Force Participation Rate, and Average Years of Schooling on Per Capita Income in Underdeveloped Regions of Sumatra Island

Lionanta, Deffa, Taher, Taher
Abstract: This study analyzes the effect of Village Funds, the Labor Force Participation Rate (LFPR), and Average Years of Schooling (AYS) on per capita income in underdeveloped regions of Sumatra Island. Underdeveloped regions in… Indonesia continue to face significant challenges in improving the welfare of their populations, with factors such as Village Funds, labor force participation, and education playing crucial roles in poverty alleviation. This research uses secondary data from Statistics Indonesia (BPS) and related institutions, employing regression analysis to examine the impact of these variables on per capita income. The results indicate that Village Funds and the Labor Force Participation Rate have a significant positive impact on per capita income, while Average Years of Schooling has a smaller but still significant effect. These findings provide valuable insights for policymakers in formulating development strategies aimed at improving welfare in underdeveloped areas. Approaches that involve more effective management of Village Funds, improving education quality, and enhancing labor force participation can serve as strategic steps to address economic disparities across regions in Sumatra Island.

Analysis of the Influence of Government Expenditure in the Fields of Education, Social Protection, Public Services, Infrastructure, Community Empowerment, Investment, and HDI on Economic Growth in the 3T Regions (Underdeveloped, Frontier, and Outermost) of Indonesia

Wardani Pulungan, Rafika, Afifuddin Sembiring, Sya’ad, Rahmanta, Rahmanta
Abstract: This study examines the impact of government expenditure in education, social protection, public services, infrastructure, community empowerment, investment, and the Human Development Index (HDI) on economic growth in Indonesia’s… donesia’s Disadvantaged, Frontier, and Outermost (3T) regions before and after the COVID-19 pandemic. Employing a quantitative approach, this research analyzes panel data from 62 regencies categorized as 3T regions from 2017 to 2022. The study uses panel data regression analysis to evaluate the influence of these expenditures on economic outcomes. Findings indicate that government spending in the education sector consistently had a positive effect on economic growth before and after the pandemic. Conversely, expenditure in social protection and HDI shifted from having a positive to a negative impact post-pandemic. Meanwhile, investments in public services, infrastructure, and overall investment, which previously had a negative impact, showed a positive influence in the post-pandemic period. Overall, government spending across all sectors had a simultaneous and significant positive effect on economic growth in the 3T regions. These results underscore the need for evidence-based policy interventions to enhance the effectiveness of government spending in promoting equitable economic growth in underdeveloped areas.