Article Per Year (5 Year)
p-Index From 2021 - 2026
3.096
P-Index
This Author published in this journals
All Journal Journal of Tropical Life Science : International Journal of Theoretical, Experimental, and Applied Life Sciences JTSL (Jurnal Tanah dan Sumberdaya Lahan) Journal of Degraded and Mining Lands Management AGRIVITA, Journal of Agricultural Science International Journal of Advances in Intelligent Informatics Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) BUANA SAINS Viabel : Jurnal Ilmiah Ilmu-Ilmu Pertanian Journal of Robotics and Control (JRC) Jurnal Tanah dan Iklim Journal of Applied Agricultural Science and Technology Indonesian Sugar Research Journal Agrimas : Jurnal Pengabdian Masyarakat Bidang Pertanian
Cahyo Prayogo, Cahyo
Universitas Brawijaya
Aerospace Engineering Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Environmental Science Mathematics Mechanical Engineering Physics Other

Published : 37 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 37 Documents
Search

 1   2   3   4 
Imputation of missing microclimate data of coffee-pine agroforestry with machine learning Nurwarsito, Heru; Suprayogo, Didik; Sakti, Setyawan Purnomo; Prayogo, Cahyo; Yudistira, Novanto; Fauzi, Muhammad Rifqi; Oakley, Simon; Mahmudy, Wayan Firdaus
International Journal of Advances in Intelligent Informatics Vol 10, No 1 (2024): February 2024
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/ijain.v10i1.1439

Abstract

This research presents a comprehensive analysis of various imputation methods for addressing missing microclimate data in the context of coffee-pine agroforestry land in UB Forest. Utilizing Big data and Machine learning methods, the research evaluates the effectiveness of imputation missing microclimate data with Interpolation, Shifted Interpolation, K-Nearest Neighbors (KNN), and Linear Regression methods across multiple time frames - 6 hours, daily, weekly, and monthly. The performance of these methods is meticulously assessed using four key evaluation metrics Mean Absolute Error (MAE), Mean Squared Error (MSE), Root Mean Squared Error (RMSE), and Mean Absolute Percentage Error (MAPE). The results indicate that Linear Regression consistently outperforms other methods across all time frames, demonstrating the lowest error rates in terms of MAE, MSE, RMSE, and MAPE. This finding underscores the robustness and precision of Linear Regression in handling the variability inherent in microclimate data within agroforestry systems. The research highlights the critical role of accurate data imputation in agroforestry research and points towards the potential of machine learning techniques in advancing environmental data analysis. The insights gained from this research contribute significantly to the field of environmental science, offering a reliable methodological approach for enhancing the accuracy of microclimate models in agroforestry, thereby facilitating informed decision-making for sustainable ecosystem management.
The Effect of Coffee Canopy Pruning and Fertilization on Coffee Growth and Soil Physical Properties Rohani, Rosesita Tri Suci; Prayogo, Cahyo; Suprayogo, Didik; Wicaksono, Kurniawan Sigit
Journal of Applied Agricultural Science and Technology Vol. 8 No. 1 (2024): Journal of Applied Agricultural Science and Technology
Publisher : Green Engineering Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55043/jaast.v8i1.208

Abstract

Arabica coffee is primarily cultivated in agroforestry systems in Indonesia, but limited local knowledge and technology adoption hinder its productivity due to insufficient practices in coffee pruning management. This study aims to analyze variations in coffee canopy pruning (Pruning+Bending) management and the impact on plant growth and soil physical characteristics.. The experiment employed a split-plot experimental design and utilized the Fisher test (5%) to assess the treatment effects. The primary plot focused on coffee canopy pruning using two management options: (1) Pruning (PR) and (2) Bending (BN). The subplots included various types and doses of fertilizer treatments: (1) Control (F0), (2) Chicken manure (F1), (3) Chicken manure+NPK fertilizer (F2), and (4) NPK fertilizer (F3). Each experimental plot covered an area of 20x20 m and contained 50 coffee plants. Bending techniques represent alternative pruning methods, and, in general, they have a significant impact on improving several coffee parameters compared to total pruning. Regarding the soil’s physical properties, the bending technique exhibited a higher infiltration rate than pruning. The management approach of Bending+Chicken manure: NPK fertilizer (BNF2) enhanced various coffee parameters, resulting in an increased stem diameter of 4.79 cm, new shoot length of 471.20 cm, and chlorophyll content of 6.83 mg/g. Furthermore, this treatment increased soil organic carbon content by 7.51% and reduced bulk density to 0.58 g/cm. In conclusion, the bending technique wasproven to be more advantageous than pruning, especially when combined with chicken manure and NPK fertilizer for enhancing coffee management among farmers.
Land Management and Soil Quality in Sago-Based Agroforestry System: A Study on Mooi Tribe’s Ecological Knowledge (Sorong, Southwest Papua) and Modern Ecological Knowledge (MEK) Wulandari, Diah Kartika; Hairiah, Kurniatun; Prayogo, Cahyo
Journal of Applied Agricultural Science and Technology Vol. 7 No. 4 (2023): Journal of Applied Agricultural Science and Technology
Publisher : Green Engineering Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55043/jaast.v7i4.212

Abstract

Sago farmers from the Mooi tribe in Sorong Regency - Southwest Papua have consumed and cultivated sago for generations. This research aims to understand the local ecological knowledge (LEK) of sago farmers in managing their land to maintain soil quality in sago agroforestry, compared with modern/scientific environmental understanding. The survey was conducted from February to October 2021 in three sub-districts, Sorong Regency, using an exploratory descriptive method among Mooi sago farmers. Intact soil samples were taken to measure soil physical properties and disturbed soil samples to analyze soil chemical properties (pH, C-Organic, Total N, P, K, CEC, base saturation). The results of this research show that what sago farmers have in common with the unique habits of the Mooi tribe's harvest system is that they harvest enough sago starch to consume or sell if there is too much of it. According to sago farmers, the best land for growing sago is close to a water source and is not affected by soil biota and fertilization. and sago farmers will leave ella sago dregs on the land. Meanwhile, according to MEK, starch formation decreases in flooded land and the remaining sago dregs are very good for making compost and animal feed. In sago forests where sago grows naturally, the soil texture is dominated by silt, having a pH of 5.8-7.2; High total organic C 2.8-5.2%, P 14.08-66.44 mg/kg, K 755.3 – 1626.8 mg/kg, CEC 18-40 cmol(+)/kg, and base saturation 30 – 134%. These values are relatively higher than on land with a sago-based agroforestry system.
The Role of Cadmium-Resistant Bacterial Application and Compost in Promoting Water Spinach Growth and Reducing Cadmium Uptake Azis, Novrianty Rizqi; Nuraini, Yulia; Ustiatik, Reni; Prayogo, Cahyo
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 14 No. 2 (2025): April 2025
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v14i2.417-423

Abstract

The continuous use of chemical fertilizers and pesticides in soil can result in the presence of cadmium (Cd) residues that may interfere with plant growth and pose a risk of uptake by plants. The issue of soil contamination by Cd can be addressed through soil bioremediation, which involves the use of Cd-resistant bacteria and compost. The objective of this study was to analyze the impact of Cd-resistant bacteria and compost application on the growth and Cd uptake of water spinach. The research design was a completely randomized design with seven treatments: (1) control, (2) 5 mL Cd-resistant bacteria consortium, (3) 10 mL Cd-resistant bacteria consortium, (4) 10 tons/ha compost, (5) 20 tons/ha compost, (6) 5 mL Cd-resistant bacteria consortium +10 tons/ha compost, and (7) 10 mL Cd-resistant bacteria consortium +20 tons/ha compost. The results demonstrated that the application of Cd-resistant bacteria and compost did not notably impact the growth of water spinach. However, it did significantly influence the reduction of Cd uptake in water spinach. The application of the Cd-resistant bacterial consortium and compost was effective in reducing the Cd uptake of the water spinach plants in all treatments. The combination of 10 mL of bacterial isolate and 20 tons/ha of compost demonstrated the greatest reduction in Cd uptake by water spinach, reaching 73%. Keywords: Bioremediation, Cadmium-resistan bacteria, Compost, Environmental monitoring, Soil contamination.
Impact of Management Practices on Coffee-Pine Agroforestry: Coffee Yield and Soil Respiration Rosalynda, Eka Novia; Prayogo, Cahyo; Suprayogo, Didik
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.v14i1.155-170

Abstract

The coffee-pine agroforestry system offers a promising solution to enhance coffee yields and maintain soil health on degraded lands. This study aims to evaluate the impact of various agroforestry management practices on coffee yield and soil respiration. The experiment was conducted using a complete randomized block design across five management treatments: without management, without fertilization, organic fertilization, mixed fertilization, and recommended management by Perhutani. The observed parameters included coffee yield, soil respiration, soil moisture, soil temperature, litter biomass, canopy cover, and soil organic carbon (SOC) content. Results indicated that the recommended management (RM) plot achieved the highest coffee yield (834 kg ha⁻¹), attributed to wider planting spacing, which reduced resource competition between coffee and pine trees. The RM plot also displayed stable soil moisture and temperature, supporting coffee growth. Meanwhile, soil respiration showed no significant differences across treatments, though the mixed fertilization (MF) plot exhibited the highest respiration rate, indicating higher microbial activity due to combined fertilizer use. In conclusion, optimal management in agroforestry systems can enhance coffee productivity while preserving soil health. Keywords: Agroforestry, Coffee Yield, Soil Management, Soil Moisture, Soil Respiration.
Pengaruh Kombinasi Bahan Pembenah Tanah dan Seresah Tebu Terhadap Beberapa Sifat Tanah dan Pertumbuhan Tanaman Tebu (Saccharum officinarum L.) Silvi, Eva Amalia; Prayogo, Cahyo; Puspitasari, Arinta Rury
Indonesian Sugar Research Journal Vol 5, No 2 (2025): Indonesian Sugar Research Journal
Publisher : Pusat Penelitian Perkebunan Gula Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54256/isrj.v5i2.169

Abstract

Lahan pertanian saat ini banyak mengalami kerusakan akibat ketergantungan pupuk kimia serta pembakaran sisa panen di lahan. Oleh karenanya diperlukan praktik budidaya yang ramah dengan penggunaan bahan pembenah tanah dan pengembalian sisa panen. Penelitian ini untuk mengetahui pengaruh pemberian bahan pembenah tanah dan seresah tebu terhadap beberapa sifat tanah dan pertumbuhan tanaman tebu. Penelitian dilakukan di Kebun Bugul Pusat Penelitian Perkebunan Gula Indonesia (P3GI), mulai dari Agustus 2024 hingga September 2025. Rancangan yang digunakan adalah rancangan acak kelompok (RAK) Non Faktorial dengan mengkombinasikan antara Zeba (pembenah tanah) pada dosis 0; 7,5 kg dan 15 kg ha-1 dengan seresah tebu dengan dosis 0, 5 ton dan 10 ton ha-1. Parameter diamati meliputi pH, N-Total tanah, C-Organik tanah, kadar air tersedia, total bakteri tanah, tinggi batang dan diameter batang. Hasil penelitian menunjukkan perlakuan yang memberikan hasil terbaik terhadap beberapa sifat tanah dan pertumbuhan tanaman tebu yaitu kombinasi bahan pembenah tanah 15 kg.ha-1 dan seresah tebu 10 ton.ha-1.
Models of Pb distribution and uptake in inundated paddy and maize cropping systems Nopriani, Leny Sri; Prayogo, Cahyo; Soemarno, Soemarno; Atikah, Atikah; Kusuma, Zaenal
Journal of Degraded and Mining Lands Management Vol. 11 No. 1 (2023)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2023.111.4927

Abstract

High-traffic highway crossing agricultural fields impacts the quality of food crops grown on Vertisol agricultural fields in Pasuruan. Lead (Pb) released from the exhaust of motor vehicles into the air can eventually enter the soil and be absorbed by plants. This study aimed to examine the effect of Pb from exhaust motor vehicles emission on the Pb status and its behavior in soil, water, and plants. The study was initiated by conducting a survey to determine the sampling locations in selected inundated paddy and maize cropping systems. A stratified random sampling method was used to collect soil, water, and plant samples. The soil of the study area is dominated by Vertisol, with clay content ranging from 54% to 76%. The soil attributes a high cation exchange capacity ranging from 80.53 meq 100 g-1 to 93.57 meq 100 g-1. Pb emitted from 2,913,000 vehicles within four months period that entered the agricultural field was not absorbed by paddy and maize crops. Pb entered the soil in the adsorbed form, and no Pb was observed in the soluble form, so it was not absorbed by the roots. In the paddy field, the total Pb of 84.33% was influenced by pollutant distance. Likewise, in the maize field, 83.18% of total Pb was influenced by pollutant distance. The far the pollutant distance from the agricultural field, the lower its total Pb. Paddy field water is adsorbed onto the colloidal clay, which is dispersed due to inundation and sloughing of the paddy, moving with the clay and then dissolved in the water flow.
Co-Authors A.A. Ketut Agung Cahyawan W Adaby, Resnu Wahyu Aji Prasetya Wibawa Anita Nur Khoiriyah Atikah Atikah Azis, Novrianty Rizqi Budi Prasetya Chesly Kit Kobua Daljit Singh Karam Danny Dwi Saputra Degi Harja Asmara Delma Aida Syavitri Didik Suprayogo Eka Zainul Hasan Syahfinada Putra Ellis Nihayati Elmi Junita Tarigan Fauzi, Muhammad Rifqi Fitra, Ahmad Ali Yuddin Gabryna Auliya Nugroho Haidar Fari Aditya Herianto Herianto Heru Nurwarsito Ishaq, Rizqi Maulana Izzuddin Al Qassam Kurniatun Hairiah Kurniawan Sigit Wicaksono, Kurniawan Sigit Kusumawati, Irma Ardi Mahayu Woro Lestari Mardiani, Mila Oktavia Mochtar Lutfi Rayes Muhammad Ihsan Nihayati, Ellis Noegraha Sholehuddin Nopriani, Leny Sri Novanto Yudistira Novi Arfarita Nugroho, Gabryna Auliya Nurul Istiqomah Nurul Istiqomah Oakley, Simon Pitaloka, Dyah Prastyaji, Dimas Purnamasari, Eka Puspitasari, Arinta Rury Retno Anggraini Retno Suntari Rika Ratna Sari Rina Rachmawati Rizki Maulana Ishaq Rohani, Rosesita Tri Suci Rosalynda, Eka Novia Sandi Gunawan Sanindya Rivaliati Saputra, Danny Dwi Seca Gandaseca Setianingsih, Titin Eka Setyawan P. Sakti Setyawan Purnomo Sakti Silvi, Eva Amalia Soemarno Soemarno Subekti Rahayu Sudiarso Sudiarso Syahrul Kurniawan Takaya Higuchi Tanya Naomi Indarto Tanya Naomi Indarto Tommy Triady Ginting Tsuyoshi Imai Ustiatik, Reni Virgus Amien Nugroho Virgus Amien Nugroho Virgus Amin Nugroho W Widianto Wayan Firdaus Mahmudy Widianto Widianto Wulandari, Diah Kartika Wuri Nastiti Ying-Tzy Jou Yu-Min Wang Yu-Ting Weng Yudo Tyasmoro, Setyono Yulia Nuraini Zaenal Kusuma Zaenal Kusuma