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Raina Linda Sari
Prodi S1 Ekonomi Pembangunan
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Flypaper Effect on The Influence of General Allocation Funds and Original Regional Income on Regional Expenditure of North Sumatra Province Hutagalung, Abdul Jalil; Sari, Raina Linda; Syafii, M.
Indonesian Interdisciplinary Journal of Sharia Economics (IIJSE) Vol 7 No 1 (2024): Sharia Economics
Publisher : Sharia Economics Department Universitas KH. Abdul Chalim, Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31538/iijse.v7i1.4472

Abstract

This research analyzes the implementation of Vocational Education policies in Indonesia with a focus on the factors that influence the success of the program. Data was collected through surveys and interviews with various related parties, as well as reviewing official documents related to education policy. The research results highlight several important aspects, including the involvement of the industrial sector in the curriculum, the importance of adequate infrastructure, improving the quality of teachers, and synergy between educational institutions, government, and the industrial sector. These findings provide important insights into the strategic steps needed to increase the effectiveness and relevance of Vocational Education in preparing a workforce ready for global market demands. In conclusion, increasing collaboration and attention to these various aspects is the key to improving the quality and competitiveness of the Indonesian workforce in the future.
The Influence of Infrastructure Development on the Economic Growth of North Sumatra Province Ambarita, Desi Sulastri; Hasyim, Sirozujilam; Sari, Raina Linda
Indonesian Interdisciplinary Journal of Sharia Economics (IIJSE) Vol 7 No 1 (2024): Sharia Economics
Publisher : Sharia Economics Department Universitas KH. Abdul Chalim, Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31538/iijse.v7i1.4763

Abstract

This research analyzes the influence of infrastructure development and convergence on economic growth in North Sumatra Province which is divided into four regions, namely the east coast, west coast, highlands, and islands. The analysis uses the multiple panel data regression method with time series data for 2018-2022. The regression results show that the Gross Fixed Capital Formation (GFCF) variable has a positive and significant impact in the East Coast and highland regions, while in the West Coast and island regions it has a negative but significant impact. Average Years of Schooling (RLS) has a positive and significant impact in most areas, except in island areas where it is not significant. Electrical infrastructure has a positive and significant impact in all regions, road infrastructure has a positive and significant impact in the west coast and highland areas, and for the east coast and island regions, the impact is positive but not significant. Meanwhile, the impact of clean water infrastructure varies. σ-convergence was found only in the east coast region, while β-convergence was detected in all regions with different levels of convergence, but lagging districts/cities took a very long time to catch up with the growth of developing districts/cities with a half-life of 47 years in the east coast region. 82 years on the west coast, 19 years on the highland areas, and 29 years on the island areas.
ANALISIS PENGARUH LUAS LAHAN, TENAGA KERJA, DAN JUMLAH PRODUKSI KELAPA SAWIT TERHADAP PDRB SUB SEKTOR PERKEBUNAN DI KABUPATEN LABUHANBATU SELATAN Yamani, Raisa; Nasution, Hardini Pazriati; Ruslan, Dede; Sari, Raina Linda
JURNAL ILMIAH EDUNOMIKA Vol. 8 No. 1 (2024): EDUNOMIKA
Publisher : ITB AAS Indonesia Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/jie.v8i1.13883

Abstract

This study aims to investigate the impact of land area, number of workers, and oil palm production on the Gross Regional Domestic Product (GRDP) of plantation sub-sectors in South Labuhanbatu District, North Sumatra Province. The GDP variable of the plantation sub-sector is used as a dependent variable, while land area, number of workers, and oil palm production are used as independent variables. The data used is secondary data from 2011 to 2021 which is interpolated into quarterly data, with a total of 44 data. The analysis method used is Ordinary Least Square (OLS) regression using Eviews 10.0 software. OLS analysis is a development of multiple regression analysis that describes how much influence the independent variable has on the dependent variable. The results of the analysis show that land area, number of workers, and oil palm production have a positive and significant influence on the GRDP of plantation sub-sectors in South Labuhanbatu Regency both partially and simultaneously. Partially, the regression results show that land area has a coefficient of 11.52384 with a probability value of less than 0.05%, the number of workers has a coefficient of 0.300888 with a probability value of less than 0.05%, and oil palm production has a coefficient of 2.222429 with a probability value of less than 0.05%. Simultaneously, the variables of land area, number of workers, and oil palm production contribute 87% to the variable GDP of the plantation sub-sector in South Labuhanbatu Regency. Keywords: Land Area, Labor, Total Production, GRDP, Plantation Sub-Sector, Palm Oil
ANALYSIS OF THE INFLUENCE OF TECHNOLOGY AND LENGTH OF BUSINESS ON INCOME THROUGH LABOR AS AN INTERVENING VARIABLE IN MSMES COFFEE SHOPS IN MEDAN CITY Adhani, Nadia; Sari, Raina Linda; Rahman, Arif
Jurnal Apresiasi Ekonomi Vol 14, No 1 (2026)
Publisher : Institut Teknologi dan Ilmu Sosial Khatulistiwa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31846/jae.v14i1.1015

Abstract

This research aims to analyze the influence of technology and business duration on the income of micro, small, and medium enterprises (MSMEs) coffee shops in Medan City, with labor as an intervening variable. The rapid growth of the coffee shop industry in Medan has intensified competition among business owners, making the adoption of technology, business experience, and labor effectiveness crucial factors for increasing income. This study employs a quantitative approach using Structural Equation Modeling (SEM) based on Partial Least Square (PLS). The research sample consists of MSME coffee shop owners selected through purposive sampling. The variables include technology (X1), Length of a business (X2), labor (Z), and income (Y). The findings reveal that technology has a positive and significant effect on income and also influences labor. Business duration positively affects both income and labor. Moreover, labor significantly affects income and mediates the relationship between technology and income, as well as between business duration and income. These results indicate that optimal technology utilization, longer business experience, and sufficient labor quality are key determinants of income improvement among MSME coffee shops in Medan City. This research is expected to serve as a reference for business owners and policymakers in formulating strategies for sustainable MSME development.
Co-Authors Adhani, Nadia Ambarita, Desi Sulastri Anggia, Yola Arif Rahman Atmaja, Adithya Rahman Coki Ahmad Syahwier Dede Ruslan Gulo, Ahmad Jumadin Hakim, Sukma Hayati Hanum, Nurlaila Harahap, Misna Doharni Hasyim, Sirozujilam Hutagalung, Abdul Jalil Inggrita Gusti Sari Nasution Irsad Lubis Irsyad Lubis, Irsyad Nasution, Hardini Pazriati Permadi, Mei Yusmansyah Pratama, Ramadhan Devan Purba, Febry Andini Sahil, Danish Salman Sembiring, Sya’ad Afifuddin Sihihab, Muhammad Wahyu Sijabat, Lastri Putri BR Soeparno, Wahyu Sugeng Imam Syafii, M. Syafina Rambe, Dhea Nita Yamani, Raisa