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All Journal Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering)
Soemarno Soemarno
Brawijaya University
Agriculture, Biological Sciences & Forestry Engineering

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Effect of Biopore Infiltration Hole on Soil Nutrient Availability and Nutrient Content of Coffee Leaves (Coffea canephora) Zahrotun Naylis Syarof; Soemarno Soemarno; Lenny Sri Nopriani
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol 14, No 1 (2025): February 2025
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v14i1.49-56

Abstract

Coffee is an important plantation commodity for the Indonesian economy. However, coffee production has decreased due to low soil fertility. One effort to increase soil fertility is by applying Biopore Infiltration Hole. This study aimed to examine the effect of biopore on nutrient availability in coffee leaves (Coffea canephora) and soil in Jatikerto Field, Malang. The experiment used a randomized block design with four treatments: control, 30 cm depth biopore, 30 cm biopore + compost, and 30 cm biopore + goat manure. Nutrient content on leaves and soil chemical properties (total N, available P, K-exchangeable) were measured. The results showed that the application of BIH 30 cm plus goat manure, was able to significantly increase the availability of N, P, K nutrients in coffee leaves and also soil total N, available P, K-exchangeable. Overall, the application of BIH was able to increase soil fertility and nutrient uptake by coffee plants. Keywords: Biopore, Compost, Nutrients. Organic,
Effect of Biopore Infiltration Hole on Soil Nutrient Availability and Nutrient Content of Coffee Leaves (Coffea canephora) Zahrotun Naylis Syarof; Soemarno Soemarno; Lenny Sri Nopriani
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 14 No. 1 (2025): February 2025
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v14i1.49-56

Abstract

Coffee is an important plantation commodity for the Indonesian economy. However, coffee production has decreased due to low soil fertility. One effort to increase soil fertility is by applying Biopore Infiltration Hole. This study aimed to examine the effect of biopore on nutrient availability in coffee leaves (Coffea canephora) and soil in Jatikerto Field, Malang. The experiment used a randomized block design with four treatments: control, 30 cm depth biopore, 30 cm biopore + compost, and 30 cm biopore + goat manure. Nutrient content on leaves and soil chemical properties (total N, available P, K-exchangeable) were measured. The results showed that the application of BIH 30 cm plus goat manure, was able to significantly increase the availability of N, P, K nutrients in coffee leaves and also soil total N, available P, K-exchangeable. Overall, the application of BIH was able to increase soil fertility and nutrient uptake by coffee plants. Keywords: Biopore, Compost, Nutrients. Organic,
Estimation Model of Robusta Coffee (Coffea canephora) Productivity Based on Soil, Plant, and Remote Sensing Data Mochtar Fauzi; Nisfi Fariatul Ifadah; Soemarno Soemarno; Kurniawan Sigit Wicaksono
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 15 No. 1 (2026): February 2026
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtepl.v15i1.52-62

Abstract

Coffee is an important global commodity, and understanding the relationships among factors influencing its productivity is essential for improving production efficiency. This study aimed to evaluate the effects of soil, plant, and remote sensing variables on Robusta coffee productivity. The production estimation model included soil variables (potassium, pH, and electrical conductivity), crop variables (plant height, crown diameter, and chlorophyll content), and remote sensing data (NDVI). Data were collected directly from field plots measuring 10 m × 10 m. Multiple linear regression models were developed to improve prediction performance. Model accuracy was evaluated using paired t-tests, RMSE, and RRMSE. The results showed that the model based on soil and crop data (R² = 0.85) performed slightly better than the model based on soil, plant, and NDVI data (R² = 0.88). Furthermore, the soil and crop data-based model produced lower error values (RMSE = 2659.44; RRMSE = 11%) than the model incorporating NDVI (RMSE = 2737.10; RRMSE = 12%). These findings indicate that soil and plant variables play a dominant role in predicting coffee productivity, while remote sensing data provide complementary information. This study provides a comprehensive understanding of the integrated influence of soil, plant, and remote sensing variables in estimating and improving Robusta coffee productivity.
Effects of ZnO-Based Smart Urea Coating on Ammonium Release and Characterization of Soil Ureolytic Bacteria in Loamy Soil Fathia Meidy Nurindriana; M. Wasilul Lutfi; Atiqah Aulia Hanuf; Soemarno Soemarno; Sugeng Prijono
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 15 No. 1 (2026): February 2026
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtepl.v15i1.322-334

Abstract

The application of ZnO-coated urea is a promising strategy to reduce nitrogen losses and improve zinc availability in soils. This study aimed to evaluate the effects of ZnO-coated urea on soil ammonium concentrations and ureolytic bacterial populations. A completely randomized design was used with five treatments:control (CU), uncoated urea (CU) and ZnO-coated urea at three different coating (bulk ZnO (NCU-Z), ZnO NPs (NCU-ZNP), and  ZnO NPs combined with bentonite NPs (NCU-ZBNP)), each with four replications. Soil samples were incubated on sterile jars under controlled conditions for 8 weeks and used loamy soil as a medium. Ammonium concentrations were measured using the spectrohotometry, while ureolytic bacteria were enumerated using the total plate count (TPC). NCU characterization results revealed inconsistencies in coating thickness, however, it has shown significant results on soil ammonium content and total ureolytic bacteria population. Results on the number of ureolytic bacterial populations showed that NCU-ZNP treatment could reduce the number of bacteria up to 77.8%. The research results also showed that the NCU-ZBNP treatment significantly maintained soil ammonium levels that were 1.76 times higher compared to CU.These findings suggest that ZnO-coated urea can slow nitrogen transformation and potentially improve nitrogen use efficiency while influencing soil microbial communities.
Co-Authors Atiqah Aulia Hanuf Fathia Meidy Nurindriana Kurniawan Sigit Wicaksono M. Wasilul Lutfi Mochtar Fauzi Nisfi Fariatul Ifadah Sugeng Prijono Zahrotun Naylis Syarof