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ANALYSIS OF THE COMPETITIVENESS OF INDONESIAN COFFEE EXPORTS TO MAJOR DESTINATION COUNTRIES Pavita, Gadis Dyah; Suandi, Suandi; Saputra, Ardhiyan; Yanita, Mirawati
SEPA: Jurnal Sosial Ekonomi Pertanian dan Agribisnis Vol 23, No 2 (2026): SEPTEMBER (IN PRESS)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/sepa.v23i2.114449

Abstract

Coffee is a leading Indonesian plantation commodity vital to international trade. However, export performance to major destinations fluctuates due to global market dynamics and rising competition. This study aims to describe Indonesian coffee export volume trends to major destination countries and to analyze their competitiveness. The analyzed markets include the United States, Malaysia, Egypt, India, Italy, and Japan. The study employs Revealed Comparative Advantage (RCA), Export Competitiveness Index (ECI), Trade Specialization Index (TSI), and Constant Market Share (CMS) using secondary data (1991–2024) under HS Code 0901 from the UN Comtrade database. Results indicate that export volumes fluctuate with varying trends across markets. RCA findings show that Indonesian coffee generally maintains a comparative advantage in most destinations. However, ECI results reveal weak competitive performance in Italy and Japan, reflecting declining competitiveness. Furthermore, CMS analysis shows that Indonesian coffee exhibits competitive performance only in the Egyptian market. Conversely, export growth in the United States, Malaysia, Italy, Japan, and India remains below global trade growth, characterized by weak competitive effects. These findings suggest the necessity of market-specific strategies to strengthen Indonesia’s coffee export competitiveness globally.
Faktor-Faktor yang Memengaruhi Penyerapan Tenaga Kerja Sektor Pertanian di Kabupaten Muaro Jambi Tamala, Lili Alfiati; Napitupulu, Dompak; Saputra, Ardhiyan
Agricultural Socio-Economic Empowerment and Agribusiness Journal Vol 2, No 1 (2023): June
Publisher : Program Studi Magister Agribisnis, Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/agrisema.v2i1.72035

Abstract

This study aimed to analyze the factors that influence the absorption of labor in the agricultural sector in Muaro Jambi Regency. The method used is the multiple linear regression analysis methods. Based on the results of multiple linear regression tests, the independent variables in the form of GRDP in the agricultural sector, agricultural land area, UMR, and agricultural investment simultaneously significantly affect on employment in the agricultural sector in Muaro Jambi Regency. Then partially, the GRDP of the agricultural sector, the area of agricultural land, and agricultural investment have a positive and significant effect on employment in the agricultural sector. Meanwhile, the minimum wage variable negatively and significantly affects employment in the agricultural sector in Muaro Jambi Regency.
Kontribusi Pendapatan Usahatani Padi Sawah Terhadap Pendapatan Petani di Kecamatan Maro Sebo Kabupaten Muaro Jambi Sihombing, Yuni Sarah; Suandi, Suandi; Saputra, Ardhiyan
Agricultural Socio-Economic Empowerment and Agribusiness Journal Vol 3, No 2 (2024): December 2024
Publisher : Program Studi Magister Agribisnis, Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/agrisema.v3i2.95410

Abstract

Increasing Rice is a crucial food crop that significantly contributes to the food security of farming households. This study aims to determine farmers' income from rice farming in Maro Sebo District, Muaro Jambi Regency. Additionally, it seeks to determine the income generated from other farming enterprises outside of rice farming in the same district. The research assesses the contribution of rice farming income to farmers' overall income in Maro Sebo District, Muaro Jambi Regency. Conducted between June and July 2024, this research focuses on rice farmers in the area. The observed variables include rice farming and other agricultural businesses, such as oil palm and rubber farming, as well as non-agricultural activities or labor. Data sources consist of both secondary data and primary data collected through questionnaires. A simple random sampling technique resulted in 42 rice farmer samples. The analysis method used is descriptive. The findings reveal that the income from rice farming is the lowest compared to other agricultural activities. Oil palm farming represents the highest income, followed by rubber farming. The lowest income is derived from non-agricultural work (labor). The analysis results show that rice farming income contributes only 4.54 percent to the total income of farmers in Maro Sebo District, Muaro Jambi Regency.