Agriverse

Strategy for Developing Milkfish Commodity in Wadak Lor Village, Duduk Sampean District, Gresik Regency

Risqi Firdaus Setiawan, Mahamadaree Waeno — Mon, 17 Mar 2025 00:00:00 +0000

This research aims to analyze the development strategy for milkfish commodity in Wadak Lor Village, Duduk Sampean District, Gresik Regency, East Java. Wadak Lor Village was chosen as the research location due to its extensive pond area of 347.280 hectares and its status as one of the largest milkfish producers in East Java. Data collection methods included interviews, questionnaires, observation, and documentation, with respondents consisting of 5 native milkfish farmers from Wadak Lor Village. Data analysis utilized the SWOT (Strengths, Weaknesses, Opportunities, Threats) approach with IFE (Internal Factor Evaluation) and EFE (External Factor Evaluation) matrices to identify internal and external factors affecting milkfish cultivation. The analysis results revealed that the main strengths are the distinctive taste and long-lasting quality of the milkfish, while the primary weaknesses are inadequate irrigation infrastructure and the lack of direct marketing channels. Key opportunities include high demand for milkfish and stable selling prices, whereas the main threats are climate change and water pollution. Based on the SWOT analysis, the recommended strategies are facilitating post-harvest processing, improving irrigation infrastructure, and addressing water overflow through the construction of bore wells and protective nets. These strategies are expected to enhance product value, support business sustainability, and optimize milkfish production in Wadak Lor Village.

Pest and Disease Challenges in Oil Palm (Elaeis guineensis Jacq) Seedling in Sukamara, Central Borneo

Mon, 17 Mar 2025 00:00:00 +0000

Oil palm (Elaeis guineensis Jacq) is one of Indonesia’s leading agricultural commodities, with high-quality seedlings playing a critical role in optimizing crude palm oil (CPO) production. However, oil palm cultivation is highly susceptible to various pests and diseases, including Curvularia sp., which poses a significant threat to nursery production. Despite the economic importance of oil palm, studies on the identification of major pests and diseases affecting both mature plants and seedlings in large-scale plantations remain limited. This study aims to identify the potential pests and diseases affecting mature oil palm plants and seedlings in the plantation area of, Sukamara Regency, Borneo. Field observations were conducted in the oil palm nursery and production area to assess pest infestations and disease occurrences. The frequency and intensity of Curvularia sp. infection were systematically recorded and analyzed. The primary pests identified include the rhinoceros beetle (Oryctes rhinoceros), armyworm (Spodoptera sp.), grasshoppers, and bagworms (Metisa plana). The presence of Curvularia sp. was observed with an infection frequency of 4.64% and an intensity of 2.09%, classified as mild damage. The relatively low incidence of this disease is attributed to environmental conditions, cultural practices, and existing pest and disease management strategies. A comprehensive understanding of the pest and disease spectrum in oil palm plantations is essential for developing effective control strategies. Strengthening integrated pest and disease management practices is crucial to ensuring seedling quality and sustaining optimal CPO production.

Assessing Coffee Farmers' Awareness of Climate Change Through the Climate Change Awareness Index Approach in Tutur, Pasuruan, Indonesia

Mirza Andrian Syah, Ifwarisan Defri, Worawan Panpipat, Manat Chaijan — Mon, 17 Mar 2025 00:00:00 +0000

Climate change poses significant challenges to coffee production, particularly in regions highly dependent on stable agroclimatic conditions. This study assesses the awareness of coffee farmers in Tutur, Pasuruan, Indonesia, regarding climate change using the Climate Change Awareness Index (CCAI). A quantitative survey was conducted among 100 coffee farmers to measure their knowledge, perceptions, and adaptive actions toward climate change. The findings reveal that farmers recognize climate change primarily through shifts in rainfall patterns, rising temperatures, and increased pest infestations, leading to reduced coffee productivity. Farmers engaged in farmer groups exhibit higher awareness levels due to enhanced access to information and knowledge exchange. The CCAI analysis indicates a high awareness level among respondents, with perception as the dominant dimension. However, adaptation efforts remain limited, necessitating further interventions such as improved agricultural extension programs and policy support. This study underscores the importance of strengthening farmers’ capacity to implement sustainable adaptation strategies to enhance coffee production resilience.

Modeling Soil Erodibility Index with NDSI on Various Meso- Landforms in Smallholder's Coffee Land Areas at Kletek Sub Watershed

Mon, 17 Mar 2025 00:00:00 +0000

The Kletek sub-watershed, located on the southern slopes of Mount Kawi, exhibits volcanic landforms shaped by ongoing volcanic activity. Thearea’s topography is highly varied, with 56.81% of the terrain consisting of slopes greater than 15%, making it prone to erosion. Dominant soil types,Inceptisol and Andisol, show medium to high susceptibility to erosion, as indicated by their soil erodibility index. Mesolandform studies have beeninstrumental in evaluating soil development and agricultural land monitoring, highlighting the need for effective erosion mitigation. Agriculture in the region focuses on robust coffee cultivation, essential for the local economy. Erosion control measures are crucial, using the soil erodibility method based on the Normalized Difference Soil Index (NDSI) derived from Sentinel 2A imagery. Key factors such as soil texture, organic matter, structure, and permeability determine soil erodibility and influence NDSI values. Statistical analyses, including MAPE (Mean Absolute Percentage Error) and ANOVA tests, confirm the model’s accuracy, with MAPE showing 7% reliability. ANOVA further reveals a significant correlation between soil erodibility and landform types, indicating varying levels of erodibility across the sub-watershed. These results emphasize the importance of mitigation erosion control to sustain agricultural productivity, particularly in coffee cultivation.

Effects of Biopore Infiltration Holes with Compost (BIHC) on Total Soil Nitrogen in Coffee Plantation

Dinda Mahartian Yunita, Atiqah Aulia Hanuf, Muhammad Wasilul Lutfi, Soemarno — Mon, 17 Mar 2025 00:00:00 +0000

Nitrogen loss from the soil will reduce soil fertility and can ultimately affect coffee growth and production. Therefore, the use of Biopore Infiltration Holes with Compost (BIHC) in coffee plantations was assessed, including its effect on nitrogen content in the soil in the root zone of coffee. This study aimed to determine the increase in total nitrogen content in the soil and to analyze the relationship between chlorophyll content and leaf number. The study was conducted with a randomized block design. The treatment was in the form of biopores, namely without biopores (P1), 30 cm biopores and goat compost (P2), 30 cm biopores and coffee pulp compost (P3), 60 cm biopores and goat compost (P4), 60 cm biopores and coffee pulp compost (P5), 30 cm and 60 cm biopores and goat compost (P6), and 30 cm and 60 cm biopores and coffee pulp compost (P7). The data obtained were analyzed using an analysis of variance of 5%. The results showed that BIHC significantly affected total-N and positively correlated with the number of leaves and chlorophyll content. P2 treatment showed the highest total-N of 0.29% and 0.36% at 0-20 cm depth.