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The Influence of Economic Growth, Income Distribution Inequality, Unemployment Rate, Education, Health, Per Capita GDP, and Consumption on the Poverty Rate of Districts/Cities in West Sumatra from 2015-2024 Viki Gusriadi; Ansofino; Yosi Eka Putri
Journal of Practice Learning and Educational Development Vol. 6 No. 1 (2026): Journal of Practice Learning and Educational Development (JPLED)
Publisher : Global Action and Education for Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58737/jpled.v6i1.803

Abstract

This study aims to determine: (1) the effect of economic growth on poverty in the regencies/cities of West Sumatra Province, (2) the effect of income distribution inequality on poverty in the regencies/cities of West Sumatra Province, (3) the effect of the unemployment rate on poverty in the regencies/cities of West Sumatra Province, (4) the effect of education on poverty in the regencies/cities of West Sumatra Province, (5) the effect of health on poverty in the regencies/cities of West Sumatra Province, (6) the effect of GRDP per capita on poverty in the regencies/cities of West Sumatra Province, (7) the effect of consumption on poverty in the regencies/cities of West Sumatra Province, and (8) the simultaneous effect of economic growth, income distribution inequality, unemployment, education, health, GRDP per capita, and consumption on poverty in the regencies/cities of West Sumatra Province. This research is a quantitative study conducted in West Sumatra Province from 2015–2024. The data used in this study are secondary data covering the years 2015–2024, with a total of 190 samples. The data collection techniques used were documentation and literature study, while the data were analyzed using panel data regression with the Eviews program. The results of the study show that: (1) an increase in all variables used in this study has an impact on poverty levels in the regencies/cities of West Sumatra Province. The greatest impact was found in the Mentawai Islands Regency at 25.941073 units, while the lowest was in Sawahlunto City at 24.410371 units. (2) An increase in economic growth affects poverty, with the highest impact in the Mentawai Islands Regency at 0.52864 units and the lowest in Sawahlunto City at -1.002062 units. (3) An increase in income distribution inequality impacts poverty, with the highest in the Mentawai Islands Regency at 0.707191 units and the lowest in Sawahlunto City at -0.823511 units. (4) An increase in unemployment affects poverty, with the highest impact in the Mentawai Islands Regency at 0.577847 units and the lowest in Sawahlunto City at -0.952855 units. (5) An increase in education influences poverty, with the highest in the Mentawai Islands Regency at 0.644134 units and the lowest in Sawahlunto City at -0.886568 units. (6) A decline in health affects poverty, with the highest impact in the Mentawai Islands Regency at -4.895513 units and the lowest in Sawahlunto City at -6.426215 units. (7) An increase in GRDP per capita influences poverty, with the highest impact in the Mentawai Islands Regency at -0.355639 units and the lowest in Sawahlunto City at -1.175063 units. (8) An increase in consumption affects poverty, with the highest impact in the Mentawai Islands Regency at 0.853609 units and the lowest in Sawahlunto City at -0.677093 units.
The Influence of Technology Use, Education Level, Labor Force, Investment, and Exports on Economic Growth in Indonesia Egi Nabila; Ansofino; Nilmadesri Rosya
Journal of Practice Learning and Educational Development Vol. 6 No. 1 (2026): Journal of Practice Learning and Educational Development (JPLED)
Publisher : Global Action and Education for Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58737/jpled.v6i1.828

Abstract

This study aims to analyze the influence of technology utilization, education level, labor force, investment, and exports on economic growth in Indonesia during the period 2000–2024. This research employs a quantitative approach using secondary data obtained from the Central Bureau of Statistics (BPS), the Ministry of Communication and Information Technology, and the World Bank. Data analysis was conducted using multiple linear regression with the EViews program. The results indicate that, partially, technology utilization, education level, labor force, investment, and exports do not have a significant effect on Indonesia’s economic growth. Similarly, simultaneously, these five variables also show no significant impact on economic growth. These findings suggest that such fundamental factors require stronger structural policy support and quality improvements in their implementation to make a tangible contribution to national economic growth.
The Influence of Achievement Motivation, Learning Creativity, Digital Literacy, Library Utilization, Student Perception of Teacher Teaching Style Variation, and Learning Media Usage on the Learning Achievement of 11th Grade Students in Economics Subject Dedeh Kurnia Ningsih; Ansofino; Jimi Ronald
Journal of Practice Learning and Educational Development Vol. 6 No. 1 (2026): Journal of Practice Learning and Educational Development (JPLED)
Publisher : Global Action and Education for Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58737/jpled.v6i1.834

Abstract

Learning achievement is a key indicator of educational success. This study aims to analyze the effect of achievement motivation, learning creativity, digital literacy, library utilization, perception of teachers’ teaching style variation, and the use of instructional media on the academic achievement of grade XI students at SMAN 1 VII Koto Sungai Sarik in Economics subject. This research employed a quantitative associative approach. The population was all grade XI students totaling 190. A sample of 64 respondents was selected using stratified random sampling. The instruments used were questionnaires tested for validity and reliability, as well as documentation of Economics report card scores. Data were analyzed using multiple linear regression with SPSS and EViews. The findings show that achievement motivation, learning creativity, digital literacy, library utilization, teaching style variation, and instructional media usage significantly and positively influence learning achievement, both partially and simultaneously. The F-test value = 9.032 is greater than F-table (2.24) with significance < 0.05, and R² indicates a strong explanatory contribution.
The Influence of Business Capital, Intellectual Capital, Accounting Information Systems, Entrepreneurial Attitude, and Market Orientation on the Performance of MSMEs in Padang City (Case Study of Packaged Culinary in Bungus Teluk Kabung District, Padang City) Nadia Salbila Putri; Ansofino; Jolianis
Journal of Practice Learning and Educational Development Vol. 6 No. 2 (2026): Journal of Practice Learning and Educational Development (JPLED) in Press
Publisher : Global Action and Education for Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58737/jpled.v6i2.845

Abstract

This research aims to analyze 1) the influence of business capital on MSME performance, 2) the influence of intellectual capital on MSME performance, 3) the influence of accounting information systems on MSME performance, 4) the influence of entrepreneurial attitude on MSME performance, 5) the influence of market orientation on MSME performance, and 6) the combined influence of business capital, intellectual capital, accounting information systems, entrepreneurial attitude, and market orientation on MSME performance in Padang City. This type of research is associative research. The research population consists of culinary MSME entrepreneurs in Lubuk Kilangan, Padang City, totaling 120 samples. The sampling technique used is purposive sampling. The instrument used for the research is a closed questionnaire. The data analysis technique uses multiple linear regression tests. The research results show that: (1) there is a significant influence of business capital on the performance of MSMEs with a coefficient value of 0.028, a t-value of 2.463 > t-table value of 1.980; (2) there is a significant influence of intellectual capital on the performance of MSMEs with a coefficient value of 0.315, a t-value of 4.239 > t-table value of 1.980; (3) there is a significant influence of accounting information systems on the performance of MSMEs with a coefficient value of 0.212, a t-value of 2.135 > t-table value of 1.980; (4) there is a significant influence of entrepreneurial attitude on the performance of student MSMEs with a coefficient value of 0.220 and a t-value of 2.625 > t-table value of 1.980; (5) there is a significant influence of market orientation on the performance of student MSMEs with a coefficient value of 0.211 and a t-value of 3.169 > t-table value of 1.980; (6) there is an influence of working capital, intellectual capital, accounting information systems, entrepreneurial attitude, and market orientation collectively on the performance of SMEs with F count 59.336 > F table 2.45.