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The Effect of Agricultural Extension and Post-Harvest Processing Technology in Increasing Farmers' Income and Farm Business Sustainability in Rural Bandung Regency Silamat, Eddy; Ginting, Ari Permana; Sutrisno, Eko
West Science Interdisciplinary Studies Vol. 2 No. 07 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i07.1135

Abstract

This study examines the impact of agricultural extension services and post-harvest processing technology on farmers' income and farm business sustainability in rural Bandung Regency. A quantitative analysis of 160 farmers' responses, measured using a Likert scale, revealed that agricultural extension services significantly enhance farm sustainability and increase farmers' income. Similarly, post-harvest processing technology positively impacts both farm sustainability and income. These findings underscore the importance of these interventions in promoting sustainable agricultural development and improving farmers' livelihoods, highlighting the need for continuous investment in agricultural extension programs and the promotion of post-harvest technologies to support rural agricultural communities.
Influence of Sustainable Agriculture Practices, Water Management, and Organic Seedling Availability on Yields in Bandung Regency Organic Farms Silamat, Eddy; Hernawati, Hernawati; Pahrijal, Rival
West Science Interdisciplinary Studies Vol. 2 No. 10 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i10.1378

Abstract

This study investigates the impact of organic seedling availability, sustainable agriculture practices, and water management on the yields of organic farms in Bandung Regency. Using a quantitative approach, data were collected from 230 organic farmers and analyzed using Structural Equation Modeling (SEM) with Partial Least Squares (PLS). The results reveal that all three factors significantly and positively affect farm yields. Water management had the strongest influence, followed by organic seedling availability and sustainable agriculture practices. These findings highlight the critical role of resource management in enhancing the productivity of organic farms. The study suggests that improving access to organic seedlings, promoting sustainable farming techniques, and investing in efficient water management systems can lead to better farm performance and sustainability. The research offers practical insights for policymakers and agricultural stakeholders seeking to optimize organic farming in the region.
The Relationship between Marketing Creativity and Product Quality to Customer Satisfaction and Loyalty of Coffee MSMEs in Banyuwangi Lifchatullaillah, Endang; Kowey, Wylda Olivia; Silamat, Eddy
West Science Interdisciplinary Studies Vol. 3 No. 01 (2025): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v3i01.1626

Abstract

This study examines the relationship between marketing creativity, product quality, customer satisfaction, and loyalty in coffee micro, small, and medium enterprises (MSMEs) in Banyuwangi. Using a quantitative approach with 145 samples and data analysis through Structural Equation Modeling (SEM) and Partial Least Squares (PLS), the study investigates how marketing creativity and product quality influence customer satisfaction and loyalty. The results show that both marketing creativity and product quality significantly affect customer satisfaction, with product quality having a stronger impact on customer loyalty. The findings highlight the critical role of creative marketing strategies and high-quality products in fostering customer loyalty and satisfaction, suggesting that coffee MSMEs in Banyuwangi should prioritize these factors to sustain competitive advantage.
Effectiveness of No-till Farming, Cover Cropping, and Crop Rotation in Improving the Sustainability of the Agricultural Sector in West Java Judijanto, Loso; Silamat, Eddy
West Science Nature and Technology Vol. 2 No. 02 (2024): West Science Nature and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsnt.v2i02.1015

Abstract

This study explores the effectiveness of three sustainable agriculture practices—No-till Farming, Cover Crops, and Crop Rotation—in enhancing the sustainability of the agricultural sector in West Java, Indonesia. Using structural equation modeling (SEM-PLS) to analyze survey data from 180 farmers, the study reveals positive relationships between each practice and sustainability outcomes. Cover Cropping emerges as particularly impactful, followed by No-till Farming and Crop Rotation. These findings emphasize the critical role of integrating these practices into agricultural policies and extension programs to bolster environmental resilience and economic viability across West Java.
ANALISIS DAMPAK PERUBAHAN IKLIM TERHADAP PRODUKTIVITAS TANAMAN PANGAN Rusmayadi, Gusti; Silamat, Eddy; Abidin, Zainal; Anripa, Nuralfin; Rubijantoro, Sat; Sitopu, Joni Wilson
Jurnal Review Pendidikan dan Pengajaran Vol. 7 No. 3 (2024): Vol. 7 No. 3 (2024): Volume 7 No 3 Tahun 2024 (Special Issue)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jrpp.v7i3.31300

Abstract

Penelitian ini bertujuan untuk menganalisis dampak perubahan iklim terhadap produktivitas tanaman pangan melalui metode studi literatur. Perubahan iklim, yang ditandai oleh peningkatan suhu global, perubahan pola curah hujan, dan frekuensi kejadian cuaca ekstrem yang meningkat, telah menjadi tantangan signifikan bagi sektor pertanian. Temuan dari berbagai literatur menunjukkan bahwa suhu yang lebih tinggi mempercepat proses evapotranspirasi dan meningkatkan stres termal pada tanaman, mengakibatkan penurunan hasil panen. Selain itu, perubahan pola curah hujan menyebabkan ketidakpastian dalam manajemen air, yang mengakibatkan risiko kekeringan dan banjir yang dapat merusak tanaman. Kejadian cuaca ekstrem seperti badai dan kekeringan berdampak langsung pada lahan pertanian dan mengakibatkan kerugian ekonomi besar. Perubahan iklim juga mempengaruhi kesuburan tanah dan penyebaran hama serta penyakit tanaman, yang semakin memperburuk produktivitas tanaman pangan. Penelitian ini menekankan pentingnya strategi adaptasi dan mitigasi untuk mengatasi dampak ini, termasuk penggunaan varietas tanaman yang lebih tahan iklim, sistem irigasi efisien, dan praktik pertanian berkelanjutan. Kesimpulan dari penelitian ini menegaskan bahwa pemahaman yang lebih baik tentang dinamika perubahan iklim dan dampaknya pada pertanian sangat penting untuk memastikan ketahanan pangan dan kesejahteraan ekonomi di masa depan.
DAMPAK PERUBAHAN IKLIM TERHADAP PENINGKATAN DAN PENURUNAN PRODUKTIVITAS TANAMAN PANGAN Sulaminingsih, Sulaminingsih; Silamat, Eddy; Ruruh, Alexander; Syaiful, Muhammad; Ninasari, Anita; AR, Muchdir
Jurnal Review Pendidikan dan Pengajaran Vol. 7 No. 3 (2024): Vol. 7 No. 3 (2024): Volume 7 No 3 Tahun 2024 (Special Issue)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jrpp.v7i3.31609

Abstract

Perubahan iklim menjadi tantangan serius bagi produktivitas tanaman pangan global. Penelitian ini menginvestigasi dampak perubahan iklim terhadap peningkatan dan penurunan produktivitas tanaman pangan dengan menggunakan metode studi literatur. Analisis dilakukan terhadap berbagai literatur ilmiah yang relevan untuk memahami bagaimana perubahan suhu global, pola curah hujan yang berubah, dan kejadian cuaca ekstrem mempengaruhi pertumbuhan dan hasil tanaman. Hasil penelitian menunjukkan bahwa peningkatan suhu global dapat menghambat proses fotosintesis dan respirasi tanaman, sementara perubahan pola curah hujan meningkatkan risiko kekeringan atau banjir yang merusak tanaman. Kejadian cuaca ekstrem seperti gelombang panas dan badai dapat mengurangi kualitas dan kuantitas hasil panen. Penyebaran hama dan penyakit tanaman juga dipengaruhi oleh perubahan iklim, memperburuk kondisi pertanian. Meskipun demikian, beberapa daerah dapat mengalami manfaat seperti peningkatan panen akibat musim tanam yang lebih panjang. Strategi adaptasi seperti pengembangan varietas tanaman tahan stres iklim dan penerapan teknologi pertanian yang canggih menjadi kunci dalam menjaga ketahanan pangan global di masa depan.
Creative Economy as a Driver of Economic Growth in the Digitalization Era Pingki, Anandiya; Silamat, eddy; Hernawati, Hernawati; Rahman, Rashid
Journal of Multidisciplinary Sustainability Asean Vol. 2 No. 1 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijmsa.v2i1.1941

Abstract

Background. The creative economy has become one of the main sectors in the global economy, especially in the era of digitalization that allows the transformation of business models based on innovation and technology. The development of digital technology provides opportunities for creative industry players to expand market reach, improve production efficiency, and create greater added value. Countries with good digital infrastructure show more stable and competitive creative economy growth than countries with limited access to technology. Purpose. This study aims to analyze the role of digitalization in driving the growth of the creative economy and identify the factors that affect its success. In addition, this study also explores the contribution of the creative economy sector to the national economy by considering regulatory aspects and digital literacy. Method. The research method used is a quantitative approach with regression analysis and case studies on several creative economy sectors. Primary data is collected through surveys of creative industry players, while secondary data is obtained from official government reports and related academic publications. Results. The results show that digitalization has a significant influence on the growth of the creative economy, with the app and gaming sectors being the main examples of successful technology adoption. The creative economy sector, which is faster to adapt to digital technology, has experienced higher growth than sectors that still rely on conventional methods. Supportive regulations and a good level of digital literacy play an important role in ensuring the sustainability of the creative industry in the era of digitalization. Conclusion. The conclusion of this study emphasizes that the creative economy can be the main driver of economic growth if supported by the right policies and a conducive digital ecosystem. Digital transformation in the creative industry is not just a trend, but also a need to increase economic competitiveness on a global scale.
THE ROLE OF SHADE-GROWN COFFEE AGROFORESTRY SYSTEMS IN CONSERVING BIRD DIVERSITY IN THE SUMATRAN HIGHLANDS Fernandez, Regi; Silamat, Eddy; Eide, Caroline
Journal of Selvicoltura Asean Vol. 2 No. 6 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsa.v2i6.2769

Abstract

Conservation in the Sumatran Highlands is critically threatened by the continuous simplification of shade-grown coffee (SGC) agroforestry systems into sun-grown monocultures, necessitating an urgent evaluation of the ecological function of complex SGC structures. This study aimed to systematically quantify avian species richness (SR) and functional diversity (FDI) across the coffee land-use gradient to establish the specific structural determinants necessary for developing an Avian-Optimized Agroforestry Protocol (AOAP). A quantitative, gradient-based comparative study utilized the Fixed-Radius Point Count method and meticulous structural measurements across 54 plots. Data were analyzed using ANOVA and multiple linear regression. Results showed that High-Diversity SGC (HD-SGC) plots retained 72\% of avian SR and maintained an FDI (4.1) statistically equivalent to natural forest fragments (4.8), proving their functional viability. Regression confirmed that Shade Tree Basal Area (BA) and Canopy Closure (CC) are the most significant positive predictors of bird diversity (R^2=0.78, p < 0.001). Simplified systems, conversely, registered a steep 40\% drop in SR, confirming their ineffectiveness. The research concludes that the AOAP is validated by confirming that conservation value is determined by structural complexity, not just 'shade.' This compels global certification schemes to adopt precise, performance-based ecological standards using quantitative metrics like BA and CC.
THE USE OF ARTIFICIAL INTELLIGENCE FOR PREDICTING COFFEE BEAN QUALITY BASED ON DIGITAL IMAGES AND SENSOR DATA Silamat, Eddy; Zaman, Khalil; Akhtar, Shazia
Techno Agriculturae Studium of Research Vol. 2 No. 3 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/agriculturae.v2i3.2442

Abstract

The increasing global demand for high-quality coffee requires more efficient and objective methods to evaluate bean quality. Traditional sensory and manual inspection techniques are time-consuming, subjective, and prone to inconsistency. This study aims to develop and validate an Artificial Intelligence (AI)-based predictive model for assessing coffee bean quality using digital image processing and sensor data. The research employs a quantitative experimental approach by integrating convolutional neural networks (CNNs) for visual analysis and machine learning regression models to process multispectral sensor data related to moisture, color, and aroma parameters. A dataset of 5,000 labeled coffee bean samples from three regional plantations was used for training and validation. The results demonstrate that the hybrid AI model achieved an accuracy rate of 96.8% in predicting bean grades compared to expert cupping scores, outperforming traditional visual grading methods by 18%. Furthermore, the integration of digital imaging and IoT-based sensors significantly reduced evaluation time and human error. The findings highlight AI’s potential to revolutionize coffee quality control by enabling automated, consistent, and scalable assessment systems that support sustainable agricultural practices.