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ANALISIS KEUNTUNGAN USAHA BUDIDAYA LEBAH MADU Trigona sp KABUPATEN ACEH BESAR Edi Saputra; Ainal Mardhiah; Mulyadi Mulyadi; Sari Wardani; Lia Handayani; Rahmat Munandar
Jurnal Agroristek Vol 6, No 1 (2023): April 2023
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat (LPPM) Universitas Jabal Ghafur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47647/jar.v5i2.1110

Abstract

Usaha budidaya lebah madu Trigona sp. merupakan usaha pengembangan dan penjualan produk hasil dari lebah. Usaha tersebut dilakukan untuk memenuhi kebutuhan produk madu yang terus meningkat. Besarnya permintaan terhadap kemampuan industri perlebahan dalam meningkatkan produksi madu, sehingga untuk mengatasi kondisi tersebut maka pengembangan usaha madu perlu dilakukan. Tujuan penelitian ini adalah untuk mengetahui untuk mengetahui besar Analisis Keuntungan usaha ternak lebah madu Trigona sp di Kabupaten Aceh Besar. Metode penelitian yang digunakan metode survei. Teknik sampling menggunakan cara observasi (metode sensus) dengan jumlah sampel 12 pengusaha lebah madu. Model Analisis data yang digunakan adalah Gross Margin (GM), Gross Ratio (GR), Operational Ratio (OR), Raturn On Invested Captical (ROIC) dan Net Farm Income (NFI). Hasil penelitian menunjukkan bahwa Net Farm Income (NFI) atau pendapatan bersih usaha lebah madu trigona sp di Kabupaten Aceh Besar sebesar Rp. 4,061,369.04. Usaha lebah madu trigona sp layak untuk diusahakan, yang ditunjukkan oleh nilai Raturn On Invested Captical (ROIC) usaha lebah madu trigona sp di Kabupaten Aceh Besar sebesar 7.99. Operational Ratio (OR) usaha lebah madu trigona sp pada di Kabupaten Aceh Besar sebesar 0.11 dan Gross Ratio (GR) usaha lebah madu trigona sp pada di Kabupaten Aceh Besar sebesar 0.04. yang berarti usaha lebah madu trigona sp di daerah penelitian mampu menghasilkan keuntungan
Pengaruh Social Media Marketing dan Labelisasi Halal Terhadap Keputusan Pembelian Produk Wardah Yuni Ayu Safitri; Zulfan Yusuf; Sarboini Sarboini; Edi Saputra
JEMSI (Jurnal Ekonomi, Manajemen, dan Akuntansi) Vol. 12 No. 4 (2026): Agustus 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jemsi.v12i4.7608

Abstract

This study aims to analyze the influence of social media marketing and halal labeling on purchasing decisions for Wardah products. In the current digital era, social media represents a crucial strategy for product promotion, particularly among young consumers. Furthermore, halal labeling plays a significant role in attracting Muslim consumers who are increasingly conscious of the importance of Sharia-compliant products. The study employs a quantitative survey method, gathering data through questionnaires distributed to Wardah consumers. Multiple linear regression analysis was used to measure the impact of each variable on purchasing decisions. The results indicate that social media promotion has a positive and significant effect on purchasing decisions, with consumers more inclined to purchase products advertised on social media. Additionally, halal labeling was found to have a positive influence, as consumers prefer products with halal certification. This study encourages marketers to leverage social media and ensure product compliance with halal standards as a strategy to boost sales.
Analysis of the Effect of Open Unemployment Rate and Labor Force Participation Rate on Poverty in Aceh Province for the Period 2018-2024 Sartika Cibro; Yuliana Yuliana; Isthafan Najmi; Edi Saputra
Jurnal Humaniora: Jurnal Ilmu Sosial, Ekonomi dan Hukum Vol. 9 No. 2 (2025): October 2025
Publisher : Center for Research and Community Service (LPPM) University of Abulyatama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30601/humaniora.v9i2.7053

Abstract

This study analyzes the effect of the open unemployment rate (TPT) and labor force participation rate (TPAK) on poverty in Aceh Province during 2018–2024. Using panel data from 23 districts/cities and the Common Effect Model—selected through the CHOW and Lagrange Multiplier tests—the results show TPT has a positive and significant impact on poverty, meaning higher unemployment increases poverty levels. Meanwhile, TPAK has a negative and significant effect, indicating that higher labor participation reduces poverty. Simultaneously, both variables significantly influence poverty. The R² value of 0.6867 shows that 68.67% of poverty variation is explained by TPT and TPAK, while 31.33% is influenced by other factors. Policy implications highlight the need for job-creating economic growth, effective labor market matching, targeted skills training, and programs to boost women’s participation. Strengthening the productive sector, expanding decent work, and improving institutional coordination are essential to accelerate poverty reduction. An integrated strategy is urgently needed to reduce unemployment and increase labor participation for inclusive and sustainable welfare in Aceh.
The Effect of Education Level and Health Level on Income Distribution Inequality in the Regencies/Cities of Aceh Province Agnes; Yuliana; Edi Saputra
Jurnal Humaniora: Jurnal Ilmu Sosial, Ekonomi dan Hukum Vol. 8 No. 2 (2024): October 2024
Publisher : Center for Research and Community Service (LPPM) University of Abulyatama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30601/humaniora.v8i2.7105

Abstract

This study analyzes the effect of education level and health level on income distribution inequality in the 23 regencies/cities of Aceh Province, Indonesia, over the period 2019–2023. The independent variables are education level (X1), measured by mean years of schooling, and health level (X2), measured by life expectancy, while the dependent variable is income distribution inequality (Y), measured by the Gini ratio. The study used a quantitative approach with panel data regression combining time-series and cross-sectional data (115 observations) obtained from Statistics Indonesia (BPS) of Aceh Province. The best model was selected using the Chow, Hausman, and Lagrange Multiplier tests, which indicated that the Common Effect Model is the most appropriate model. The results show that education level has a negative and significant effect on income distribution inequality (coefficient −0.012104; p = 0.0000), and health level also has a negative and significant effect (coefficient −0.006424; p = 0.0000). Simultaneously, the two variables have a significant effect on income distribution inequality (F-statistic 99.11681; p = 0.0000). The coefficient of determination (R²) is 0.638982, meaning that education level and health level explain about 63.9% of the variation in income distribution inequality, while the remaining 36.1% is explained by other factors outside the model, such as unemployment, economic growth, infrastructure, and government policy. The study recommends expanding access to education and improving the quality and distribution of health services across regencies/cities in Aceh.
The Effect of Population and Poverty Rate on Economic Growth in the Regencies/Cities of Aceh Province Hayatun Magfirah; Yuliana; Edi Saputra
Jurnal Humaniora: Jurnal Ilmu Sosial, Ekonomi dan Hukum Vol. 10 No. 1 (2026): April 2026
Publisher : Center for Research and Community Service (LPPM) University of Abulyatama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30601/humaniora.v10i1.7320

Abstract

This study analyzes the effect of population size and the poverty rate on the economic growth rate of the regencies/cities in Aceh Province, Indonesia. The study used panel data combining time-series and cross-sectional data for the 23 regencies/cities in Aceh Province over the period 2019–2023 (115 observations), obtained from Statistics Indonesia (BPS) of Aceh Province. The data were analyzed using panel data regression, and the best model was selected using the Chow, Hausman, and Lagrange Multiplier tests. The results show that the Fixed Effect Model is the most appropriate model. Population has a positive and significant effect on economic growth (coefficient 0.048845; p = 0.0000), and the poverty rate also has a positive and significant association with economic growth (coefficient 0.111714; p = 0.0000). Simultaneously, population and the poverty rate have a significant effect on economic growth (F-statistic 11.79192; p = 0.0000). The coefficient of determination (R²) is 0.758717, meaning that the model explains about 75.9% of the variation in economic growth, while the remaining 24.1% is explained by other variables outside the model. The positive association between poverty and growth indicates that growth in Aceh has not yet been sufficiently pro-poor. The study recommends improving the quality of the productive-age population and focusing poverty alleviation on productive employment and economic empowerment. Further research should include other determinants of growth, such as investment, human development, and fiscal transfers.
The Influence of Paddy Field Area and Rice Harvested Area on Rice Production in Aceh Province Zulfikar; Yuliana; Edi Saputra
Jurnal Humaniora: Jurnal Ilmu Sosial, Ekonomi dan Hukum Vol. 10 No. 1 (2026): April 2026
Publisher : Center for Research and Community Service (LPPM) University of Abulyatama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30601/humaniora.v10i1.7321

Abstract

This study aims to determine the effect of paddy field area and rice harvested area on rice production in Aceh Province. The study used a quantitative approach with panel data covering 23 regencies and cities in Aceh Province over the 2019–2023 period, resulting in 115 observations. The data were analyzed using panel data regression, with paddy field area (X1) and rice harvested area (X2) as independent variables and rice production (Y) as the dependent variable. Based on the Chow, Hausman, and Lagrange Multiplier tests, the random effect model was selected as the best model. The results indicate that paddy field area has a positive and significant effect on rice production, while rice harvested area has a negative and significant effect on rice production when paddy field area is held constant. Simultaneously, both variables have a significant effect on rice production. The coefficient of determination of 0.944 indicates that paddy field area and rice harvested area explain 94.4% of the variation in rice production, while the remaining 5.6% is explained by other variables outside the model. These findings underline the importance of protecting paddy fields from conversion to sustain rice production in Aceh Province.
The Effect of the Open Unemployment Rate and Minimum Wage on Poverty in Sabang City Muhammad Abdi Surya; Yuliana; Edi Saputra
Jurnal Humaniora: Jurnal Ilmu Sosial, Ekonomi dan Hukum Vol. 9 No. 2 (2025): October 2025
Publisher : Center for Research and Community Service (LPPM) University of Abulyatama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30601/humaniora.v9i2.7326

Abstract

This study examines the effect of the open unemployment rate and the minimum wage on poverty in Sabang City, Aceh Province, Indonesia. The study used a quantitative approach with annual secondary time-series data for 2000–2024 (n = 25) obtained from Statistics Indonesia (BPS). The data were analyzed using multiple linear regression with t-tests and an F-test at a 5% significance level. The results show that the open unemployment rate and the minimum wage simultaneously have a significant effect on poverty in Sabang City, as indicated by a calculated F-value of 41.235, which is greater than the F-table value of 3.443 (sig. 0.000). Partially, the open unemployment rate has a positive and significant effect on poverty, with a coefficient of 0.209 and a calculated t-value of 2.348, which is greater than the t-table value of 2.074 (sig. 0.021). The minimum wage also has a positive and significant effect on poverty, with a coefficient of 0.417 and a calculated t-value of 5.346 (sig. 0.000). The coefficient of determination (R²) is 74.2%, meaning that 74.2% of the variation in poverty in Sabang City is explained by the open unemployment rate and the minimum wage, while the remaining 25.8% is explained by other factors outside the model. The positive effect of the minimum wage indicates that minimum wage increases in Sabang City have not been sufficient to reduce poverty, possibly because many workers are in the informal sector. The study recommends expanding employment and skills training programs and setting the minimum wage in line with decent living needs and local economic conditions.
The Effect of Land Area and Agricultural Production on Per Capita Income in Aceh Jaya Regency Muhammad Fauzi; Yuliana; Edi Saputra
Jurnal Humaniora: Jurnal Ilmu Sosial, Ekonomi dan Hukum Vol. 10 No. 1 (2026): April 2026
Publisher : Center for Research and Community Service (LPPM) University of Abulyatama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30601/humaniora.v10i1.7855

Abstract

This study examines the partial and simultaneous effects of agricultural land area and agricultural production output on per capita income in Aceh Jaya Regency, Aceh Province, Indonesia. The study used a quantitative approach with annual secondary time-series data for 2000–2024 (n = 25) obtained from Statistics Indonesia (BPS). The data were analyzed using multiple linear regression with t-tests and an F-test at a 5% significance level. The results show that land area and production output simultaneously have a significant effect on per capita income, as indicated by a calculated F-value of 62.481, which is greater than the F-table value of 3.443 (sig. 0.000). Partially, land area has a positive and significant effect on per capita income, with a coefficient of 0.634 and a calculated t-value of 6.469, which is greater than the t-table value of 2.074. Production output also has a positive and significant effect on per capita income, with a coefficient of 0.234 and a calculated t-value of 3.391, which is greater than the t-table value of 2.074. The coefficient of determination (R²) is 65.3%, meaning that 65.3% of the variation in per capita income is explained by land area and production output, while the rest is explained by other factors outside the model. The study recommends protecting productive agricultural land from conversion and increasing agricultural productivity to raise per capita income. Further research should include other determinants, such as capital, commodity prices, technology, and labor quality.