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Determinants of Export Competitiveness of Coffee Commodities in South Sulawesi Ummul Khair; Sri Mardiyati; Amruddin; Mohammad Natsir; Muh. Arifin Fattah
International Journal of Economics, Business and Innovation Research Vol. 5 No. 02 (2026): February - March, International Journal of Economics, Business and Innovation
Publisher : Cita konsultindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63922/ijebir.v5i02.3037

Abstract

Negotiation and strategic positioning in international trade are crucial for maximizing the economic benefits of agricultural commodities. This study aims to analyze the determinants of the export competitiveness of coffee from South Sulawesi, Indonesia, during the 2010–2024 period. The independent variables examined include coffee production capacity, world coffee prices, and the exchange rate of the Indonesian Rupiah (IDR) against the US Dollar (USD), while the dependent variable is export competitiveness, measured by the Revealed Comparative Advantage (RCA) index. Utilizing an Ordinary Least Squares (OLS) regression model, the findings reveal that the model explains 70.5% of the variance in coffee export competitiveness. Statistically, both coffee production and the exchange rate exhibit a significant negative impact on the RCA index, suggesting structural vulnerabilities related to supply quality and high dependency on imported agricultural inputs. Conversely, world coffee prices do not significantly influence export competitiveness, indicating the position of local exporters as price takers bound by long-term forward contracts. These findings emphasize the urgent need for strategic policy shifts from quantity-oriented agricultural expansion to quality standardization and upstream cost stabilization.
DETERMINANTS OF TAX AVOIDANCE: THE INFLUENCE OF THIN CAPITALIZATION, TRANSFER PRICING AGGRESSIVENESS, AND ACCOUNTING CONSERVATISM WITH FINANCIAL CONSTRAINTS AS A MODERATING VARIABLE Irawan, Dodi; Nensi Yuniarti. Zs; Ummul Khair; Dinal Eka Pertiwi
Jurnal Ilmiah Akuntansi, Manajemen dan Ekonomi Islam (JAM-EKIS) Vol. 9 No. 1 (2026): Jurnal Ilmiah Akuntansi, Manajemen, dan Ekonomi Islam (JAM-EKIS)
Publisher : Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jam-ekis.v9i1.8985

Abstract

This study analyzes the effect of Thin Capitalization, Transfer Pricing Aggressiveness, and accounting conservatism on tax avoidance, with Financial Constraints as a moderating variable in mining companies listed on the Indonesia Stock Exchange (IDX) for the 2020–2022 period. The research sample was 23 companies from 63 populations, with a purposive sampling method and multiple linear regression analysis and Moderated Regression Analysis (MRA) using SPSS 25. The results show that Thin Capitalization and accounting conservatism have no effect on tax avoidance, while Transfer Pricing Aggressiveness has a significant effect. The moderation test proves that Financial Constraints do not strengthen the relationship between the three independent variables and tax avoidance. This finding confirms that transfer pricing policies are more dominant in influencing tax avoidance practices. Therefore, supervision of affiliated transactions and transfer pricing policies needs to be tightened to suppress the potential for tax avoidance
PENERAPAN TEKNOLOGI INTERNET OF THINGS (IOT) DALAM PENGEMBANGAN SISTEM OTOMATIS MONITORING DAN PERAWATAN TANAMAN ANGGREK Akbar Abdul Fatah; Ummul Khair
PROSISKO: Jurnal Pengembangan Riset dan Observasi Sistem Komputer Vol. 13 No. 1 (2026): Prosisko Vol. 13 No. 1 Maret 2026
Publisher : Pogram Studi Sistem Komputer Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/c302q203

Abstract

Penerapan teknologi Internet of Things (IoT) dalam berbagai sektor telah menunjukkan peningkatan efisiensi dan efektivitas operasional, termasuk dalam bidang pertanian. Penelitian ini bertujuan untuk mengembangkan sistem otomatis berbasis IoT yang dapat memonitor dan merawat tanaman anggrek secara real-time. Tanaman anggrek membutuhkan kondisi lingkungan yang spesifik untuk tumbuh optimal, sehingga pemantauan terus-menerus dan perawatan yang tepat sangat penting. Sistem yang diusulkan menggunakan berbagai sensor untuk mengukur parameter penting seperti suhu, kelembapan, pencahayaan, dan tingkat nutrisi. Data dari sensor ini dikirim ke platform IoT yang memungkinkan pemantauan jarak jauh melalui perangkat mobile atau komputer. Berdasarkan data yang diterima, sistem dapat melakukan penyesuaian otomatis, seperti penyiraman, pengaturan pencahayaan, dan pemberian nutrisi. Hasil pengujian menunjukkan bahwa sistem ini mampu meningkatkan efisiensi perawatan dan mengurangi risiko kerusakan tanaman akibat kondisi lingkungan yang tidak optimal. Selain itu, analisis biaya dan manfaat menunjukkan bahwa penerapan teknologi IoT dalam perawatan tanaman anggrek dapat memberikan keuntungan ekonomi bagi petani dan penghobi anggrek. Tantangan teknis dan non-teknis dalam implementasi juga diidentifikasi dan dibahas, memberikan panduan untuk pengembangan lebih lanjut. Dengan demikian, penerapan teknologi IoT dalam pengembangan sistem otomatis untuk monitoring dan perawatan tanaman anggrek memiliki potensi besar untuk meningkatkan kualitas dan produktivitas tanaman, serta memberikan solusi inovatif bagi pertanian modern.