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All Journal Jurnal Agronomi Indonesia (Indonesian Journal of Agronomy) Buletin Agrohorti Journal of Tropical Crop Science Jurnal Agronomi Tanaman Tropika (JUATIKA) International Journal of Basic and Applied Science Journal Arunasita
Mulyana, Erik
Department Of Agronomy And Horticulture, Faculty Of Agriculture, IPB University (Bogor Agricultural University)
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Physics

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Correlations Between Leaf N, P, K, Ca and Fe Levels and The Production of Metabolites in Torbangun (Coleus amboinicus Lour.) Mulyana, Erik; Aziz, Sandra A; Aisyah, Syarifah Iis; Damanik, M. Rizal Martua
Journal of Tropical Crop Science Vol 2 No 2 (2015): Journal of Tropical Crop Science
Publisher : Department of Agronomy and Horticulture, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (5502.603 KB) | DOI: 10.29244/jtcs.2.2.17-27

Abstract

Torbangun (Coleus amboinicus Lour) is a tropical plant from the Lamiaceae family. Torbangun leaves have a distinct aroma. Torbangun leaves have been traditionally used as a medicinal plant in North Sumatra, Indonesia. Bataknese lactating women in North Sumatra consumed torbangun leaves after giving birth with beliefs that it could increase their breast milk production (lactagogue), and that the leaves can function as anti-fungal and/or anti-bacterial, analgesic, to reduce blood cholesterol, and clean the human uterus. However, scientific evidence on this traditional herb is limited. This research was conducted to: (1) determine the leaf N, P, K, Ca and Fe in different position along the plant and the leaf age as to diagnose the secondary metabolites content of torbangun leaves, and (2) determine the relationship between N, P, K, Ca and Fe leaf concentrations with their metabolite production. The results of the study showed that: (1) the best leaf position and age to determine of the need of N, P, K, Ca and Fe nutrients are on the 3rd leaf position of 5 months-old plant (2) There was a positive correlation between leaf K concentrations with shoot dry weight, Ca with PAL activity, and Fe with total saponins on the 3rd leaf position of 5 months-old plant.Keywords: Coleus amboinicus Lour, torbangun, nutrient, correlation test, secondary metabolites.
Growth and Production of Sweet Corn (Zea mays var. Saccharata Sturt.) at Various Doses of Micro Inorganic Fertilizers (3.14% Zn – 2.54% Cu) Mulyana, Erik; Rosyad, Astryani; Furqoni, Hafith; Khairullah, Adrian; Annas, Sofian; Suwarto, Suwarto
Buletin Agrohorti Vol. 13 No. 2 (2025): Buletin Agrohorti
Publisher : Departemen Agronomi dan Hortikultura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/agrob.v13i2.64456

Abstract

Sweet corn is a horticultural commodity that is widely cultivated in Indonesia. This study aimed to determine the development and growth response of sweet corn plants to the application of different doses of micro inorganic fertilizer (3.14% Zn – 2.54% Cu). The research was conducted at Sindangbarang Experimental Field, Bogor, West Java. This experiment used a Randomized Complete Block Design (RCBD) with a single factor, namely the dose of fertilizer application. Treatments were arranged in 4 levels of application, namely: (1) control, (2) standard NPK, (3) NPK + 1 micro dose, (4) ¾ NPK + 1 micro dose. The results of this test indicate that the application level of micro inorganic fertilizers at the application level of NPK fertilizer + 1 micro dose and ¾ NPK + 1 micro dose fertilizer treatment can generally provide plant height, stem diameter, number of leaves, cob length, cob diameter, stover weight, cob weight with husk, cob weight without husk, production per plot, and productivity which were statistically higher than the control treatment. The application of NPK + 1 micro dose and fertilizer treatment of ¾ NPK + 1 micro dose have Relative Agronomic Effectiveness (RAE) values that meet the requirements to pass the fertilizer effectiveness test, with the highest RAE value obtained in the application of ¾ NPK + 1 micro dose fertilizer at 118%. Keywords: copper, effectivity of fertilizer, horticulture plants, zinc
Growth and Yield Response of Sweet Corn (Zea mays var. Saccharata Sturt.) at Various Doses of Ammonium Sulfate Fertilizer Mulyana, Erik; Rosyad, Astryani; Hapsari, Dhika Prita
Journal Arunasita Vol. 2 No. 3 (2025): Soil Management
Publisher : WBS Laboratory

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.17118766

Abstract

Sweet corn is a horticultural commodity that is widely cultivated and consumed in Indonesia. This study aimed to determine the growth and yield response of sweet corn plants to the application of various doses of ammonium sulfate fertilizer. The research was conducted at Pasir Kuda Experimental Field, Bogor, West Java. This experiment used a randomized complete block design (RCBD)with a single factor, namely the dose of fertilizer application. Treatments were arranged in 4 levels of application, namely: (1) control, (2) standard NPK fertilization, (3) 0.5 dose of N, (4) 1,0 doses of N, (5) 1,5 doses of N, and (6) 2,0 doses of N. The results of this test indicate that the application level of ammonium sulfate fertilizers at the application level of 1,0 doses N fertilizer treatment can generally provide plant height, stem diameter, number of leaves, stover weight, cob weight with husk, cob weight without husk, production plot-1, and productivity which are statistically higher than the control treatment. The application of 1,0 doses N fertilizer treatment had Relative Agronomic Effectiveness (RAE) values that meet the requirements to pass the fertilizer effectiveness test, with the highest RAE value obtained in the application of 1,0 doses N fertilizer at 188%.
Growth and Yield of Sweet Corn (Zea mays var. Saccharata Sturt.) in Response to the Application of Inorganic Calcium Nitrate Fertilizer Mulyana, Erik
Buletin Agrohorti Vol. 13 No. 3 (2025): Buletin Agrohorti
Publisher : Departemen Agronomi dan Hortikultura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/

Abstract

Sweet corn is a horticultural commodity that is widely cultivated in Indonesia. This experiment aimed to determine the effectiveness of inorganic calcium nitrate fertilizer on the growth and yield of different sweet corn plants (Zea mays var. Saccharata Sturt.). The study was conducted at the Sindangbarang Experimental Field, Bogor, West Java. This experiment used a randomized complete block design (RCBD) with a single factor, namely the dose of fertilizer application. The treatment consisted of one factor with six levels of fertilization, namely (P1) control, (P2) standard NPK (135 kg N ha-1, 72 kg P₂O₅ ha-1, and 120 kg K₂O ha-1), (P3) 0.5 dose of calcium nitrate fertilizer, (P4) 0.75 dose of calcium nitrate fertilizer, (P5) 1.0 dose of calcium nitrate fertilizer, and (P6) 1.5 dose of calcium nitrate fertilizer. The test results showed that the treatment of applying 0.5 – 1.5 dose of calcium nitrate fertilizer is higher increased stover weight, cob weight with husked, cob weight without husked, production and productivity which were statistically higher than the control treatment. The application of 0.5 dose of calcium nitrate fertilizer has the highest Relative Agronomic Effectiveness (RAE) value that meets the requirements to pass the fertilizer effectiveness test, with an RAE value of 95%. Keywords: fertilizer effectiveness, horticulture plants, nutrient, productivity
Zinc and boron micronutrients application enhance sweet corn productivity Hafith Furqoni; Erik Mulyana; Astryani Rosyad; Adrian Khairullah; Sofian Annas; Suwarto
Jurnal Agronomi Indonesia (Indonesian Journal of Agronomy) Vol. 53 No. 3 (2025): Jurnal Agronomi Indonesia (Indonesian Journal of Agronomy)
Publisher : Indonesia Society of Agronomy (PERAGI) and Department of Agronomy and Horticulture, Faculty of Agriculture, IPB University, Bogor, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24831/jai.v53i3.66877

Abstract

Sweet corn (Zea mays L. var saccharata) is a valuable crop whose productivity depends not only on macronutrients but also on micronutrients such as zinc (Zn) and boron (B), which play essential roles in plant physiological processes. However, the effectiveness of foliar-applied micronutrients in sweet corn cultivation under tropical conditions remains insufficiently studied. This research aimed to evaluate the agronomic effectiveness of a micronutrient fertilizer containing Zn (5.46%) and B (3.59%) when combined with reference and reduced doses of NPK fertilizer. The experiment was conducted from February to May 2025 at the Sindangbarang Experimental Farm, IPB University. This experiment was conducted using a randomized complete block design with four treatments, namely control (no fertilizer), reference fertilizer, reference fertilizer + 1 dose of micronutrient fertilizer, and ¾ dose of reference fertilizer + 1 dose of micronutrient fertilizer, with six replications. Results showed that micronutrient application significantly enhanced vegetative growth and yield components compared to the control. The combination of reference NPK and one dose of micronutrient fertilizer produced the highest productivity, with a 78.8% increase over the control and a relative agronomic effectiveness (RAE) value of 114.5%, indicating a 1.14-fold improvement over the reference treatment. These findings suggest that integrating Zn and B into fertilization strategies can enhance sweet corn performance and support more efficient nutrient management in tropical agroecosystems. Keywords: crop yield improvement; foliar fertilization; micronutrient uptake; tropical field experiment; Zea mays physiology
Improving Seed Quality of Four Genotypes of Sweet Corn (Zea mays saccharata) Based on Harvest Time and Initial Water Content Astryani Rosyad; Arya Widura Ritonga; Erik Mulyana; Punjung Medaraji Suwarno; Mertya Anugrah
JURNAL AGRONOMI TANAMAN TROPIKA (JUATIKA) Vol. 7 No. 2 (2025): Vol. 7 No. 2 Mei (2025): Jurnal Agronomi Tanaman Tropika (JUATIKA)
Publisher : LPPM UNIVERSITAS ISLAM KUANTAN SINGINGI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/juatika.v7i2.4335

Abstract

Quality seeds are crucial for successful sweet corn production. Various factors influence seed quality, including harvest time and initial water content. Therefore, understanding the interaction between harvest time and initial water content is essential for optimizing the quality of sweet corn seeds. This study aims to determine the optimal harvest time and initial water content for assessing the seed quality of four sweet corn genotypes: T13.1.8, SB13.1.3, T8.3.6, and T8.3.2. The experiment employed a factorial Randomized Complete Block Design (RCBD) with two factors. The first factor, harvest time, consisted of five levels (73, 76, 79, 82, and 85 days after planting [DAP]). In contrast, the second factor was the initial water content for seed testing, categorized as harvest water content and 10-12% moisture content. Each treatment was replicated three times, resulting in a total of 30 experimental units. The findings indicated that the sweet corn genotypes T13.1.8 and SB13.1, which were harvested at 76 to 82 hours after sowing (DAP) and had an initial water content of 10 to 12%, represented the optimal treatment combination. These genotypes exhibited germination rate and vigor index variables ranging from 92.7 - 100% and 70.67 - 96.67%. Sweet corn genotypes T8.3.6 and T8.3.2 can be harvested between 79 - 85 DAP with an initial water content of 10-12% to obtain seeds with a germination rate ranging from 86.00 - 98.67% and a vigor index of 58.00 - 86.67%. The study results can be used as a recommendation for seed producers to apply the harvest time and water content according to the genotype used, to ensure that the seeds produced have high viability and vigor.
Metaheuristic Optimized Fuzzy Ensemble for Maize Seed Quality Prediction Using Vis/NIR Spectroscopy Ridwan Raafiudin; Ali Khumaidi; Indra Permana Solihin; Erik Mulyana
International Journal of Basic and Applied Science Vol. 15 No. 1 (2026): Basic and Applied Science
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/ijobas.v15i1.886

Abstract

Maize (Zea mays) seed quality assessment is essential for supporting agricultural productivity and sustainable seed management. This study proposes a non-destructive machine learning framework for predicting maize seed quality using portable Visible/Near-Infrared (Vis/NIR) spectroscopy. The framework integrates NIPPY-based spectral preprocessing, metaheuristic wavelength selection, and fuzzy ensemble learning to handle spectral noise, multicollinearity, and nonlinear relationships in small-sample spectral data. Informative wavelengths were selected using Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). Two fuzzy ensemble models were developed: a Fuzzy Residual-Corrected Ensemble that refines predictions through residual-based fuzzy correction, and an RF+XGB Fuzzy Ensemble that combines Random Forest and XGBoost outputs using confidence-based fuzzy weighting. The models were evaluated for Moisture Content (MC), Germination Rate (GR), and Electrical Conductivity (EC) using repeated cross-validation, variability measures, and statistical validation. The proposed fuzzy ensemble models achieved R² values ranging from 0.8249 to 0.8689 and showed performance comparable to the strongest Random Forest baseline. Statistical comparison indicated that the main contribution of the fuzzy ensemble framework lies not in large gains in mean accuracy, but in prediction stability, residual correction, and uncertainty-aware modeling. SHAP-based explainability further identified physiologically meaningful wavelength regions, including visible pigment-related bands and near-infrared moisture-related bands. The dataset consists of 800 maize seed samples from four varieties under laboratory conditions, which limits generalization to field environments. Future work will focus on multi-location validation, domain adaptation, and real-time implementation. Overall, the proposed framework provides a statistically validated and interpretable approach for portable Vis/NIR-based maize seed quality prediction.
Co-Authors Adrian Khairullah Ali Khumaidi Annas, Sofian Aziz, Sandra A Dhika Prita Hapsari Furqoni, Hafith Ida Bagus Putu Sutama Indra Permana Solihin Khairullah, Adrian Mertya Anugrah Muhamad Rizal Martua Damanik Punjung Medaraji Suwarno Ridwan Raafi'udin Ritonga, Arya Widura Rosyad, Astryani Sofian Annas Suwarto Suwarto Suwarto Syarifah Iis Aisyah