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All Journal Journal of Tropical Life Science : International Journal of Theoretical, Experimental, and Applied Life Sciences JTSL (Jurnal Tanah dan Sumberdaya Lahan) Pelita Perkebunan Journal of Degraded and Mining Lands Management Habitat AGRIVITA, Journal of Agricultural Science International Journal of Advances in Intelligent Informatics agriTECH Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Journal of Robotics and Control (JRC) Dikmas: Jurnal Pendidikan Masyarakat dan Pengabdian Journal of Applied Agricultural Science and Technology

Didik Suprayogo

Department Of Soil Science, Agriculture Faculty, Brawijaya University, Malang, Indonesia

Author-ID : 393762

Aerospace Engineering Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Environmental Science Mechanical Engineering Other

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ESTIMASI SEBARAN DAERAH RAWAN BANJIR BANDANG SUB DAERAH ALIRAN SUNGAI SUMBER BRANTAS KOTA BATU : APLIKASI MODEL GENRIVER & SISTEM INFORMASI GEOGRAFI Adymas Putro Utomo; S Sudarto; Didik Suprayogo
Jurnal Tanah dan Sumberdaya Lahan Vol. 1 No. 2 (2014)
Publisher : Departemen Tanah, Fakultas Pertanian, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (234.315 KB)

Flood is a major disaster which often occurred in last decade. Generally, land management in upper watershed is the main driving factor that cause flood. Upper watershed area should be intended for catchment area, but in fact land use change from natural forest become agriculture practices continuously happened. This research was done in September-October 2008 in Sumber Brantas sub watershed, City of Batu and some part of Malang Regency. Spatial analysis and land maping was done in Geographic Information System Laboratory of Soil Science Department, Brawijaya University. The objective of this research was to estimate troubled area of flash flood distribution. The parameters were:river flow discharge, slope, distance from river & elevation. The predicted river flow discharge was compared to actual river flow discharge and stastistically tested using doubled regression. This was done to know the accuracy of the model. River flow debit assessment using 15 micro sub watersheds with Thiessen Fraction Distribution (TFD-micro watershed) treatment result the most accurate river flow debit compared to field measurement. River flow debit assessment using one watershed with Average Thiessen (AT-watershed) treatment result lower accurate compared to TFD-micro watershed. In AT-watershed treatment river flow debit result is slightly close to measurement, but there are a significant difference in July and August. The worst result of the validation is the method using 15 micro sub watersheds with Average Thiessen. This caused by rainfall distribution which was used as input data was inappropriate with micro sub watershed distribution in Sumber Brantas sub watershed area. Totally the troubled area of flash flood based on troubled river area of flash flood is as much as 202.23 ha. Troubled area of flash flood is located in 4 Sub Regency, they are: Batu sub- regency as much as 29.39 ha, Bumiaji sub-Regency as much as 164.43 ha, Junrejo sub-Regency as much as 6.08 ha and Pujon sub-Regency as much as 2.43 ha.

STUDI NITRIFIKASI TANAH DENGAN PENAMBAHAN SERESAH ASAL HUTAN ALAMI DAN AGROFORESTRI KOPI Anita Kismi Qifli; Kurniatun Hairiah; Didik Suprayogo
Jurnal Tanah dan Sumberdaya Lahan Vol. 1 No. 2 (2014)
Publisher : Departemen Tanah, Fakultas Pertanian, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (281.345 KB)

Forest conversion to coffee agro forestry has decreased quality and amount of litter fall, increase decomposition rate and litter fall mineralization. This research was aimed measuring soil nitrification rate by addition of forest, coffee based agro forestry with mix shade trees and legume-shaded coffee (Gliricidia sepium) and monoculture of coffee litter fall. This research that was conducted in May-June 2005 used InceptisolÂ and litter fall of forest, coffee based agro forestry with mix shade trees and legume-shaded coffee (Gliricidia sepium) and monoculture of coffee from Bodong, Sumberjaya, Lampung Barat. Litter fall was collected by litter trap. This research was compiled in a completely randomized design with aerobic incubation method during 8 week in laboratory by 5 treatment addition of forest, coffee based agro forestry with mix shade trees and legume-shaded coffee (Gliricidia sepium), monoculture of coffee litter fall and control (non litter fall addition). Measurement conducted adding litter fall and soil has incubation during 2 weeks. Soil nitrification rate determined by comparing concentration of NH4+ and NO3- after added of litter fall. Data analysis was used one-way. Result of research showed that (1) addition of litter fall has significant (p<0.01) to concentration of NH4+ and NO3- - and N-mineral of soil (2) addition of litter fall has significant (p<0.01) to NH4+ /NO3- ratio (3) addition of coffee monoculture litter fall has yield concentration of NO3- higher than forest and coffee based agro forestry with mix shade trees litter fall (4) addition of coffee monoculture litter fall has yield ratio of NH4+ and NO3- lower (0.1mg kg-1) than addition of forest litter fall (1mg kg-1), coffee based agro forestry with mix shade trees litter fall (0.4mg kg-1) and legume-shaded coffee (Gliricidia sepium) litter fall (0.8mg kg-1). This result of research indicated that adding litter fall like forest, coffee based agro forestry with mix shade trees and legume-shaded coffee (Gliricidia sepium) litter fall can depress soil nitrification rate until 96%.

HUBUNGAN ANTARA PERBEDAAN KELAS KELERENGAN DENGAN KARAKTERISTIK KIMIA TANAH PADA PERKEBUNAN TEH JOLOTIGO LINGKUP PTPN IX Pipit Tandyana Febriantika; Faris Nur Fauzi Athallah; Restu Wulansari; Didik Suprayogo
Jurnal Tanah dan Sumberdaya Lahan Vol. 9 No. 1 (2022)
Publisher : Departemen Tanah, Fakultas Pertanian, Universitas Brawijaya

Tea plantations are mostly more suitable to be cultivated in areas with highland characteristics to get itsâ€™ subtropical climate which is great for the growth of tea. This requirement showed that tea plantations are also cultivated in areas with different ranges of slope and this condition could affect soil chemical properties such as soil nutrient content, including soil pH, soil organic carbon (SOC) and contents of N, Available P, K and Mg inside the soil. This study was conducted to analyze the correlation on different slope levels with soil nutrient contents by collecting the secondary data of land slope and soil chemical properties, analyzed statistically with a simple correlation method. The result showed there was no significant correlation between the slope levels and contents of soil chemical properties. Most of the soil chemical properties have a negative correlation to different slope gradients such as soil pH (r = -0.391), SOC (r = -0.348), total N ( r = -0.169), Available P (r = - 0.039), K content (r = -0.135), Mg content (r = -0.027). where the highest levels of nutrients were found at the lowest level of slope based on the site data. Soil chemical properties are needed to be considered in many tea plantations with different levels of slope and could be used as a recommendation in planning for conservation or restoration of degraded land or soil.

Potential Nitrification and Nitrogen Mineral of Soil in Coffee Agroforestry System with Various Shading Trees Purwanto .; Eko Handayanto; Didik Suprayogo; John Bako Baon; Kurniatun Hairiah
Pelita Perkebunan (a Coffee and Cocoa Research Journal) Vol 23 No 1 (2007)
Publisher : Indonesian Coffee and Cocoa Research Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22302/iccri.jur.pelitaperkebunan.v23i1.49

The role of shading trees in coffee farms has been well understood to establish suitable condition for the growth of coffee trees, on the other hand their role in nitrogen cycle in coffee farming is not yet well understood. The objectives of this study are to investigate the influence of various legume shading trees on the concentration of soil mineral N (N-NH4 + and N-NO3-), potential nitrification and to study the controlling factors of nitrification under field conditions. This field explorative research was carried out in Sumberjaya, West Lampung. Twelve observation plots covered four land use systems (LUS), i.e. 1) Coffee agroforestry with Gliricidiasepium as shade trees; 2) Coffee agroforestry with Gliricidiaas shade trees and Arachis pintoias cover crops; 3)Coffee agroforestry with Paraserianthes falcataria as shade trees; and 4) Mixed/multistrata coffee agroforestry with Gliricidiaand other fruit crops as shade trees. Measurements of soil mineral-N concentration were carried out every three weeks for three months. Results showed that shade tree species in coffee agroforestry significantly affected concentrations of soil NH4 +, NO3- and potential nitrification. Mixed coffee agroforestry had the highest NH4+/N-mineral ratio (7.16%) and the lowest potential nitrification (0.13 mg NO2-kg-1 hour -1 ) compared to other coffee agroforestry systems using single species of leguminous shade trees. Ratio of NH4 + /N-mineral increased 0.8—21% while potential nitrification decreased 55—79% in mixed coffee agroforestry compared to coffee agroforestry with Gliricidia or P. falcatariaas shade trees. Coffee agroforestry with P. falcatariaas shade trees had potential nitrification 53% lower and ratio of NH4 + /N-mineral concentration 20% higher than that with Gliricidia. Coffee agroforestry with P. falcataria as shade trees also had organic C content 17% higher, total N 40% higher, available P 112% higher than that with Gliricidia. The presence of A. pintoiin coffee agroforestry with Gliricidiareduced 56% potential nitrification but increased 19.3% of NH4+/N-mineral concentration. The low soil potential nitrification in the mixed coffee agroforestry had close relationship with the high content of soil organic matter. Key words : Nitrogen-mineral, nitrification, shading trees, agroforestry, Coffea canephora, nitrate, organic matter, intercropping,Gliricidia sepium, Arachis pintoi, Paraserianthes falcataria.

Cocoa Production as Affected by Shade Tree Species and Soil Quality Tria Yulianti; Soetanto Abdoellah; Didik Suprayogo; Niken Puspita Sari
Pelita Perkebunan (a Coffee and Cocoa Research Journal) Vol 34 No 2 (2018)
Publisher : Indonesian Coffee and Cocoa Research Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22302/iccri.jur.pelitaperkebunan.v34i2.316

Cocoa is one of the agricultural commodities that have important role and are reliable in realizing agricultural development program of Indonesia. The cocoaproduction of Indonesia tends to decrease that caused by in appropriate farming. This research aimed to evaluate the shade management to cocoa productivity and evaluating the correlation between soil quality and the cocoa production with the different shade management. This research was conducted from October 2016 until June 2017 in Kaliwining Experimental Station and Soil Laboratory of Indonesian Coffee and Cocoa Research Institute (ICCRI), Jember, Indonesia. Clones at the trial plots were Sulawesi 1 and Sulawesi 2, 10 years old, and arranged in 3 m x 3 m spacing. The design of this research was conducted by observing parameters of sample trees on cocoa field. This research used three observation plots, with shade trees of leucaena (Leucaena sp.), teak (Tectona grandis), and teak combined with krete (Cassia surithensis) shade. The results indicated that shade species affected the cocoa production. Teak shade gave higher production of cocoa (i.e 3,01 kg.tree-1) compared to other species of shade (1.83 and 1.39 kg.tree-1 for leucaena and teak and krete combination, respectively). The correlation of soil quality with cocoa production showed that soil calcium content, earthworm biomass and soil bulk density were positively correlated with the production of cocoa. Shade species greatly affected the production in combination with the soil quality.

Development of Microclimate Data Recorder on Coffee-Pine Agroforestry Using LoRaWAN and IoT Technology Nurwarsito, Heru; Suprayogo, Didik; Sakti, Setyawan P.; Prayogo, Cahyo; Oakley, Simon; Wibawa, Aji Prasetya; Adaby, Resnu Wahyu
Journal of Robotics and Control (JRC) Vol 5, No 1 (2024)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v5i1.20991

Microclimate monitoring in agroforestry is very important to understand the complex interactions between vegetation, soil, and the environment. Microclimate parameters include air and soil temperature, air humidity, soil moisture, and light intensity. This research aims to develop a new microclimate data recording system for coffee-pine agroforestry, utilizing LoRaWAN and IoT technology to capture real-time microclimate parameters. Unlike traditional data loggers that require manual download on-site, this innovative system enables instant data download from IoT servers, thereby increasing data efficiency and accessibility. The system proved effective, significantly improving the precision of air temperature and humidity, as well as soil temperature measurements, with an average accuracy of 100%. However, soil moisture and light intensity recorded lower accuracies of 81.23% and 82.56%, respectively, indicating potential areas for future research and system refinement. The system maintains a 15-minute sampling period, aligning with conventional datalogger intervals. This represents an advancement in precision agriculture for microclimate monitoring, enabling the data to be utilized in decision-making for agroforestry management, which involves complex interactions between the local microclimate and the broader ecological system. It underscores the significance of sustainable land use as a response to global climate change.

Community Participation in Forest Conservation as A Forest Fire Mitigation and Adaptation on The Arjuno Mountain Sativandi Riza; Yulia Amirul Fata; Syamsul Arifin; Erekso Hadiwijoyo; Rifqi Rahmat Hidayatullah; Rizki Maulana Ishaq; Nina Dwi Lestari; Aditya Nugraha Putra; Iva Dewi Lestariningsih; Didik Suprayogo
HABITAT Vol. 34 No. 3 (2023): December
Publisher : Department of Social Economy, Faculty of Agriculture , University of Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.habitat.2023.034.3.29

Participatory conservation is an activity to mitigate and adapt to forest and land fires through field farmer school (FFS) activity which forest farmer groups (FFG), non-governmental organizations (NGOs), and academics attend. This research aims to provide an innovative approach to conservation activities with the community, especially on Mount Arjuno, which often experiences forest fires. The results show that local stakeholders and authorities must support community participation in forest conservation. This study shows that FFS (Field Farmer School) activities can facilitate the community in identifying problems and generating ideas for conservation activities through the agroforestry system, mitigation and adaptation of forest and land fires, and edu-ecotourism. Conservation designs and community participation strategic plans are outputs of forest fire mitigation and adaptation activities. The FFS as the methodology used is adequate for knowing what the farmer needs relating to conservation that stakeholders will program. Moreover, generating the conservation activity must be combined with activities to increase the FFG income. So, the FFG will have good welfare.

Imputation of missing microclimate data of coffee-pine agroforestry with machine learning Heru Nurwarsito; Didik Suprayogo; Setyawan Purnomo Sakti; Cahyo Prayogo; Novanto Yudistira; Muhammad Rifqi Fauzi; Simon Oakley; Wayan Firdaus Mahmudy
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

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.

OPTIMALISASI DAN UJI EFEKTIVITAS ACTINOMYCETES PADA Brassica chinensis DI BAWAH CEKAMAN KEKERINGAN DAN pH MASAM ULTISOL Dewi, Shendy Citra Oktaviana; Suprayogo, Didik; Rahmanto, Didi; Rini, Tri Setia
Jurnal Tanah dan Sumberdaya Lahan Vol. 11 No. 1 (2024)
Publisher : Departemen Tanah, Fakultas Pertanian, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jtsl.2024.011.1.21

Drought stress and acid soil pH are a form of abiotic stress on acid-dry land. Actinomycetes are a group of transitional microbes that have benefits as bioprotectants, biostimulators, and biofertilizers. This study aimed to determine the optimum growth environment for Actinomycetes at various incubation temperatures (25, 30, 35, and 40 ℃) and media pH (5, 6, 7, 8, and 9) and prove its effectiveness on mustard plants when given drought stress, and increase in acid soil pH. The research was conducted in the LOB greenhouse of PT Great Giant Pineapple using two factors, namely Actinomycetes (F22, F26, F34, F39, and F47) and irrigation (watered and not watered). Observations included Actinomycetes population (CFU mL-1), plant response (percentage of stress, death, survival, recovery), plant growth (plant length, number of leaves, root length), plant production (fresh weight), soil pH, and soil organic matter. Results of this study showed that Actinomycetes F22 gave the highest total population (107 CFU mL-1), and the P4K1, P4K2, and P2K2 treatment combination gave the best results on the observed parameters.

ANALISIS HUBUNGAN TUTUPAN LAHAN DAN INDIKATOR KESEHATAN HIDROLOGI DAS REJOSO, JAWA TIMUR Wariunsora, Sisilia; Kusuma, Zaenal; Suprayogo, Didik
Jurnal Tanah dan Sumberdaya Lahan Vol. 11 No. 1 (2024)
Publisher : Departemen Tanah, Fakultas Pertanian, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jtsl.2024.011.1.31

With increasing concerns regarding water resource management and environmental sustainability, understanding land use change and the hydrological health of watersheds is critical for informed decision-making. This study aimed to explore the effect of land use changes on hydrological health resilience in the Rejoso watershed, East Java, using remote sensing techniques and geographic information system tools to characterize the various land cover types. Landsat ETM 7+ satellite imagery was used to describe land cover classes. Hydrological health indicators such as water transmission, water availability during the dry season, and peak rainfall buffer events were systematically analyzed in relation to land cover change conditions. Regression statistical methods were used to measure the impact of land cover changes on hydrological parameters. The study results showed that the area of forest land in the Rejoso watershed tended to increase from 2011 to 2021; on the other hand, the area of agroforestry land tended to decrease along with the increase in upland land. In general, the hydrological health of the Rejoso watershed is decreasing from year to year. The increase in forest area, agroforestry, settlements, and ponds provides a positive response to the hydrological health of the watershed. On the other hand, the increase in moorland and rice fields has a negative impact on the hydrological health of the watershed.

Co-Authors Abdul Latief Abadi Adaby, Resnu Wahyu Aditya Nugraha Putra Aditya Nugraha Putra Aditya Nugraha Putra, Aditya Nugraha Adymas Putro Utomo Aji Prasetya Wibawa Anita Kismi Qifli Arifin, Syamsul Azan Asri Bambang Guritno Cahyo Prayogo Cahyo Prayogo, Cahyo Danny Dwi Saputra Dewi, Shendy Citra Oktaviana Dhina Mustikaningrum Dinna Hadi Solikah Dwi Asmono Eka Novia Rosalynda Eko Handayanto Endang Arie Soesilaningsih Erekso Hadiwijoyo Erekso Hadiwijoyo Erekso Hadiwijoyo Fajriyah, Azizatul Faris Nur Fauzi Athallah Fata, Yulia Amirul Fitra, Ahmad Ali Yuddin Fitri Wijayanti Gatot Mudjiono Georg Cadisch Hadi, Maruf Heru Nurwarsito Ishaq, Rizqi Maulana Iva Dewi Lestariningsih Johanna Maria Rotinsulu John Bako Baon Khanza A’maladewi Sudharta Kurniatun Hairiah Kurniawan Sigit Wicaksono Markum Maulidiyah, Nurul Meine Van Noordwijk Muhammad Rifqi Fauzi Niken Puspita Sari Nina Dwi Lestari Nina Dwi Lestari Novanto Yudistira Oakley, Simon Permatasari, Wulan Pipit Tandyana Febriantika Purwanto . Rahmanto, Didi RATNA SARI, RIKA Raushanfikr Bushron Restu Wulansari Rifqi Rahmat Hidayatullah Rifqi Rahmat Hidayatullah Rika Ratna Sari Rini, Tri Setia Rizki Maulana Ishaq Rizki Maulana Ishaq Rosesita Tri Suci Rohani Ruth Stella Petrunella Thei S Sudarto Saputra, Danny Dwi Sari, Rika Ratna Sativandi Riza Setyawan P. Sakti Setyawan Purnomo Sakti Simon Oakley Soetanto Abdoellah Sri Rahayu Utami Sudarto Sudarto Sugeng Prijono Syahrul Kurniawan Syamsu Ridzal Indra Hadi Tria Yulianti Wahyuni Setyo Lestari Wandri, Ruli Wariunsora, Sisilia Wayan Firdaus Mahmudy Widianto Widianto Yu-Min, Wang Yulia Amirul Fata Zaenal Kusuma

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