chrestiana Aponno
Jurusan Akuntansi, Politeknik Negeri Ambon

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Analisa Pendapatan Kelompok Tani Desa Taeno di Kota Ambon Aldi Aldi; Semmy Pesireron; chrestiana Aponno
Jurnal Administrasi Terapan Vol. 3 No. 2 (2024): Jurnal Administrasi Terapan
Publisher : P3M Politeknik Negeri Ambon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31959/jat.v3i2.2928

Abstract

This study aims to analyze the income of the Taeno Hamlet farmer group business precisely. It is hoped that farmers can identify the problems faced in order to increase their business income. The difference between income and all costs incurred is income (Soekartawi, 2017). To calculate farm income, what must be known is all expenses and income during the farming business run within the specified time. To calculate farm income, you can use the formula: Y = TR - TC The income of the farmer group from the 4 types of plants produced is IDR 424,930,000 and the total cost incurred is IDR 35,430,000 so that the income obtained is IDR 389,500,000. To further increase agricultural yields, farmers must plant other crops while waiting for the harvest period such as basil, spring onions so that in between the time before waiting for the main crop harvest, farmers will get results from other crops. Farmers are advised to sell directly to the market and not through second hands, which causes the selling price to be too low. Keyword :Farmer Income
DETERMINAN PERTUMBUHAN EKONOMI HIJAU PADA SEKTOR UMKM INDONESIA TAHUN 2020-2025 Chrestiana Aponno; Septina Louisa Siahaya
Jurnal Administrasi Terapan Vol. 5 No. 1 (2026): Jurnal Administrasi Terapan
Publisher : P3M Politeknik Negeri Ambon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31959/jat.v5i1.3773

Abstract

MSMEs contribute 61% to national GDP but generated 216 million tons of CO₂ in 2022, creating urgency for green economic transformation. This study aims to analyze the influence of green innovation, digitalization, and human capital on green economic growth of Indonesian MSMEs during 2020-2025. Employing a quantitative approach with survey method on 350 MSME practitioners across 15 provinces, data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). Results demonstrate all three variables significantly influence with 62.7% model predictive power. Digitalization emerges as the strongest predictor (path coefficient 0.389; medium-large effect size), followed by green innovation (0.342; medium effect size) and human capital (0.256; small-medium effect size). The model exhibits excellent quality with positive predictive relevance (Q²=0.453) without multicollinearity. Government should design comprehensive policies integrating fiscal incentives, digitalization subsidies, and sustainable vocational training programs. Financial institutions must expand digital-based green financing with transparent ESG monitoring. Future research needs to explore moderating variables and develop longitudinal models for comprehensive understanding of Indonesian MSMEs' green economic transformation.Keywords: Digitalization, Green Economy, Green Innovation, Human Capital, MSMEs