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All Journal Leuser Journal of Environmental Studies Ekonomikalia Journal of Economics Grimsa Journal of Business and Economics Studies
Fazli, Qalbin Salim
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Agriculture, Biological Sciences & Forestry Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Energy Environmental Science Social Sciences Other

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Influence of Elevational and Environmental Factors on Parasitic Nematode Distribution in Arabica Coffee in the Gayo Highlands, Indonesia Surna, Muhammad Ipan; Fazli, Qalbin Salim; Chamzurni, Tjut; Susanna, Susanna; Idroes, Ghazi Mauer
Leuser Journal of Environmental Studies Vol. 3 No. 2 (2025): October 2025
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/ljes.v3i2.293

Abstract

Highland agricultural landscapes are sensitive to environmental variation, particularly in regions like the Gayo Highlands of Aceh, Indonesia, where Arabica coffee (Coffea arabica L.) is a major crop. While parasitic nematodes are known to affect crop health and soil ecosystems, little is known about how their abundance and distribution vary with elevation in tropical coffee systems. The Gayo Highlands, despite their significant contribution to national coffee production, have been understudied in terms of soil biodiversity and nematode-related threats. To address this knowledge gap, we assessed the composition and abundance of parasitic nematodes in coffee plantations across three elevation zones: 800–1000 m, 1001–1200 m, and 1201–1400 m above sea level. We collected soil and root samples from symptomatic coffee plants, extracted nematodes using the Baermann funnel method, and identified them to the genus level. The study found three genera: Pratylenchus, Meloidogyne, and Rotylenchus. Pratylenchus was the most abundant, particularly at 800–1,000 m (34 individuals/10 ml), while the highest total nematode abundance occurred at 1,001–1,200 m (7.2 ± 1.44 individuals/10 ml). Statistical analysis showed significant differences in nematode abundance between elevation zones. These results indicate that elevation influences nematode populations, likely through environmental factors such as temperature, soil moisture, and pH. Understanding these patterns is important for developing site-specific strategies for pest management and maintaining soil health in highland coffee systems.
Agrochemicals, GHG Emissions, and GDP in Southeast Asia: A Machine Learning Approach with Hierarchical Clustering Fazli, Qalbin Salim; Idroes, Ghalieb Mutig; Hilal, Iin Shabrina; Hafizah, Iffah; Hardi, Irsan; Noviandy, Teuku Rizky
Grimsa Journal of Business and Economics Studies Vol. 2 No. 2 (2025): July 2025
Publisher : Graha Primera Saintifika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61975/gjbes.v2i2.93

Abstract

Agrochemical use, GHG emissions, and gross domestic product (GDP) vary widely across Southeast Asia, making the region suitable for cluster-based sustainability analysis. This study applies hierarchical clustering analysis (HCA) to classify nine Southeast Asian countries using four standardized indicators: pesticide use, nitrogen fertilizer use, GHG emissions, and GDP. Exploratory data analysis reveals significant disparities, with Brunei and Indonesia emerging as outliers due to exceptionally high input intensity and emissions, respectively. HCA identifies four distinct clusters: (1) low-input, low-emission economies (Cambodia, Laos, Myanmar); (2) moderately intensive systems (Malaysia, Thailand, the Philippines, Vietnam); (3) a high-pesticide profile (Brunei); and (4) a high-emission, high-output outlier (Indonesia). Principal Component Analysis confirms the cluster structure and highlights variation in emission efficiency. The findings show that similar agroecological contexts can yield divergent environmental outcomes, emphasizing the role of policy and technology. This study provides the first region-wide, data-driven typology of agricultural sustainability in Southeast Asia using HCA.
Environmental Influence of Altitude on Coffee Leaf Rust Severity in Arabica Coffee of Aceh Tengah, Indonesia Arkadinata, Teguh; Fazli, Qalbin Salim; Alfizar, Alfizar; Hakim, Lukman; Idroes, Ghazi Mauer
Leuser Journal of Environmental Studies Vol. 3 No. 2 (2025): October 2025
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/ljes.v3i2.344

Abstract

Coffee leaf rust (CLR), caused by Hemileia vastatrix, remains one of the most damaging diseases affecting Arabica coffee worldwide. Understanding how environmental gradients influence CLR development is critical for sustainable management in tropical highland systems. This study examined the influence of altitude on CLR incidence and severity across five elevation ranges (800–1800 masl) in Arabica coffee plantations of Aceh Tengah, Indonesia. Field assessments were conducted on 25 farms using a standardized sampling layout and severity scoring scale. Analysis of variance (ANOVA) revealed that altitude had no significant effect on disease incidence (F = 0.14 < F0.05 = 3.01), which remained uniformly high across all sites (>75%), but significantly affected disease severity (F = 3.34 > F0.05 = 3.01). The highest mean severity (51.88%) occurred at 1600–1800 masl, differing significantly from lower elevations. These findings suggest that while CLR infection frequency is widespread, environmental conditions at higher altitudes favor greater lesion expansion and disease development. The results highlight the importance of considering local microclimatic variability in disease risk assessment and adaptive management. Further studies integrating microclimatic and agronomic measurements are needed to strengthen causal understanding and support environmentally based strategies for sustainable Arabica coffee production.
Mapping the Evolution of Agricultural Economics: A Bibliometric Analysis of the Nexus Between Economic Growth, Environmental Sustainability, and Econometric Modeling Fazli, Qalbin Salim; Delya, Mussa Isaack; Almuchty, Muhammad Akbar; Hafizah, Iffah; Wiranatakusuma, Dimas Bagus
Ekonomikalia Journal of Economics Vol. 3 No. 2 (2025): October 2025
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/eje.v3i2.345

Abstract

Understanding how agriculture contributes to economic growth while maintaining environmental sustainability has become an essential question in contemporary development research. To examine how this interdisciplinary field has evolved, this study employs a bibliometric analysis of 394 Scopus-indexed articles retrieved on 3 October 2025, reflecting research published from 1975 through 2025, focusing on the intersection of agriculture, economic growth, environmental sustainability, and econometric modeling. Data were analyzed with VOSviewer and CiteSpace to map research trends, collaboration, and methodological patterns. The results indicate a consistent rise in publication activity and citation impact, reflecting the growing scholarly attention to sustainable agricultural economics. Asian countries, particularly China, India, Malaysia, and Indonesia, have emerged as leading contributors, highlighting the region’s central role in agricultural transformation and policy-driven research. Econometric approaches such as time series, panel data, and cointegration models dominate methodological trends, underscoring the discipline’s increasing reliance on quantitative analysis. However, international and interinstitutional collaboration remains limited, suggesting that greater integration is needed to achieve a more unified global research landscape. The findings provide valuable insights into the intellectual structure and evolution of agricultural economics, offering a foundation for future studies that aim to strengthen methodological diversity and advance sustainable development policies.
Co-Authors Alfizar Alfizar Almuchty, Muhammad Akbar Arkadinata, Teguh Delya, Mussa Isaack Ghazi Mauer Idroes Hafizah, Iffah Hardi, Irsan Hilal, Iin Shabrina Idroes, Ghalieb Mutig Lukman Hakim Sugeng, Santoso Surna, Muhammad Ipan Susanna Susanna Tjut Chamzurni Wiranatakusuma, Dimas Bagus