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<![CDATA[Pertumbuhan dan Produktivitas Tanaman Bawang Merah (Allium ascalonicum L. var.Tiron) Dengan Perlakuan Gracilaria verrucosa Sebagai Penjerap Air Pada Tanah Pasir ]]>
<![CDATA[Umami, Arif -]]>;
<![CDATA[Darmanti, Sri -]]>;
<![CDATA[Haryanti, Sri -]]>
<![CDATA[ Bioma : Berkala Ilmiah Biologi Vol. 13, No. 2, Tahun 2011 ]]>
Publisher : <![CDATA[Departemen Biologi, Fakultas Sains dan Matematika, Universitas Diponegoro ]]>
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DOI: 10.14710/bioma.13.2.60-66
<![CDATA[The aims of this study to determine effect of treatment G.verrucosa as water trappers on growth andproductivity of onions crops grown on sandy soil. The research using CRD with factorial pattern ( 3 x 4 ). The firstfactor is the size of pieces G.verrucosa (U1 =flour, U2 =0.25 cm, U3 = 0.5 cm). The second factor is thecomposition of the mixture G.verrucosa: sand (T1 = 0%: 100%, T2 =10%: 90%, T3 =20%: 80% and T4 =30%:70%). The data obtained were analyzed by ANAVA at the level of significance of 95% followed by Duncan's at95% significance level. The results showed that the addition of G. verrucosa able to increase growth and cropproductivity compared with the onion crops grown on sandy soil only. The most influential medium for plantgrowth is a mixture of onion G. verrucosa with sand on the composition of 20%: 80% with G. verrucosa in all sizes,while the most influential medium for the production of onion crop is a mixture of G. verrucosa in all sizes with asandy soil with a ratio of 10%: 90%.]]>
<![CDATA[PEMBANGUNAN SISTEM REKOMENDASI PEMUPUKAN BERBASIS WEB BAGI PERKEBUNAN KELAPA SAWIT RAKYAT ]]>
<![CDATA[Firmansyah, Erick]]>;
<![CDATA[Dewi, Shinta Ihtamma]]>;
<![CDATA[Umami, Arif]]>
<![CDATA[ Agros Journal of Agriculture Science Vol 23, No 1 (2021): Edsi Januari ]]>
Publisher : <![CDATA[Faculty of Agriculture, Janabadra University ]]>
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<![CDATA[Kelapa sawit merupakan tanaman perennial yang membutuhkan ketercukupan nutrisi sepanjang tahun. Penyediaan nutrisi tanaman melalui pemupukan harus sesuai dengan kebutuhan spesifik kelapa sawit. Pengetahuan tentang jenis pupuk, perhitungan dosis, dan penaksiran karakteristik iklim sangat mempengaruhi efektivitas dan efisiensi pemupukan. Penentuan rekomendasi pemupukan melalui analisis tanah dan daun seringkali tidak dapat dilakukan oleh petani akibat faktor biaya dan pengetahuan yang terbatas. Penentuan jenis, dosis, dan waktu pemupukan ditentukan oleh factor internal dan eksternal tanaman. Pembangunan sistem rekomendasi melibatkan 3 domain pengetahuan pemupukan kelapa sawit, yaitu domain tanah, tanaman, dan iklim. Perhitungan kebutuhan nutrisi didasarkan pada defisit antara unsur pemasok dan unsur penghilang nutrisi pada agroekosistem kelapa sawit. Langkah penentuan dosis pupuk diawali dari perhitungan defisit nutrisi, identifikasi jenis pupuk penyuplai nutrisi, penentuan aturan matematis, dan penentuan waktu pemupukan berdasarkan data iklim. Sistem rekomendasi pemupukan kelapa sawit ditampilkan dengan format antarmuka berupa website (http://smartferti.com/).]]>
<![CDATA[Stomata dan Trikoma Kultivar Kedelai Anjasmoro selama pemupukan Nanosilika dan Plant Growth Promoting Rhizobacteria ]]>
<![CDATA[Sri Suryanti]]>;
<![CDATA[Arif Umami]]>
<![CDATA[ Vegetalika Vol 9, No 1 (2020) ]]>
Publisher : <![CDATA[Universitas Gadjah Mada ]]>
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DOI: 10.22146/veg.48795
<![CDATA[Soybean is a very important crop commodity in Indonesia. Increasing soybean production on dryland as cultivation land need to be carried out. Dryland have issues with either of nutrient and water availability which is not supportable for plant growth. Therefore, the application of nano-silica and plant growth promoting rhizobacteria (PGPR) are expected to increase nutrient absorption, synthesis of plant growth hormone and increase in plant resistance to drought stress. The growth of drought-resistant plants is able to be showed through the status of stomata and trichomes on leaves. So that, this study aimed to determine the stomata and trichome performance of soybean plants of Anjasmoro cultivar using nano-silica and PGPR as fertilizers. The study design used a completely randomized design with 2 factors with three replication. The first factor was nano silica concentration i.e. 0, 100 and 200 ppm. The second factor was PGPR concentration i.e. 0, 5, 10, and 15%. Results showed that the nanosilica and PGPR applications had no significant effect on stomata and trichome status of Anjasmoro cultivar except for stomatal aperture and the ratio of the size of the stomata openings. A positive correlation has been found in the study between stomata openings and soybean yields.]]>
<![CDATA[Perancangan sistem identifikasi penyakit pada daun kelapa sawit (Elaeis guineensis Jacq.) dengan algoritma deep learning convolutional neural networks ]]>
<![CDATA[Gusti Ashari Wira Satia]]>;
<![CDATA[Erick Firmansyah]]>;
<![CDATA[Arif Umami]]>
<![CDATA[ Jurnal Ilmiah Pertanian Vol. 19 No. 1 (2022): Jurnal Ilmiah Pertanian ]]>
Publisher : <![CDATA[Universitas Lancang Kuning ]]>
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DOI: 10.31849/jip.v19i1.9556
<![CDATA[The effectiveness and efficiency of operations are essential in increasing the production and profitability of oil palm plantations. It can be performed through the application of precision farming principles. One of the main obstacles for oil palm to produce optimally according to their potential is disease attacks on leaves. However, the weakness of the manual observation method is the limited ability of the observer in assessing a disease that attacks leaves. Therefore, it is necessary to have a companion system for smallholders to detect and control diseases with minimal environmental impact properly. Most of the visual-based identification efforts in precision agriculture use the concepts of computer vision and machine learning. This study's problem was the need for machine learning and computer vision-based software to identify diseases to realize sustainable oil palm plantation practices. Disease detection includes a description of the name of the disease in oil palm plantations. In this study, designing a disease recognition based on computer vision and machine learning had used the convolutional neural network (CNN). The application used the Android operating system in real-time. The test results on the model showed that the model had been able to predict with an accuracy rate of 85.5%]]>
<![CDATA[PEMBERDAYAAN PERTANIAN ORGANIK DENGAN MODEL HIDROGANIK BUDIKDAMBER DI ERA PANDEMI COVID - 19 ]]>
<![CDATA[Sri Suryanti]]>;
<![CDATA[Arif Umami]]>;
<![CDATA[Ryan Firmansyah]]>;
<![CDATA[Reza Widyasaputra]]>
<![CDATA[ Jurnal Agro Dedikasi Masyarakat (JADM) Vol 1, No 2 (2020): November ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Mataram ]]>
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DOI: 10.31764/jadm.v1i2.2966
<![CDATA[Program Kemitraan Masyarakat (PKM) tentang pemberdayaan pertanian organik dengan model hidroganik budikdamber untuk meningkatkan nilai tambah produksi pertanian dilaksanakan di Desa Wisata Tani Candran, Kebonagung, Kecamatan Imogiri Kabupaten Bantul Yogyakarta, pada bulan Januari sampai Juni 2020. Program Kemitraan Masyarakat (PKM) dilaksanakan dengan melibatkan mitra Dasawisma Dahlia Desa Wisata Tani Candran. Anggota Dasawisma Dahlia selalu melibatkan perempuan secara langsung dalam sektor pertanian untuk meningkatkan pendapatan warga desa serta menarik wisatawan domestik maupun wisatawan asing untuk berkunjung ke Museum Tani Jawa Desa Candran. Pada masa pandemi COVID-19, beberapa anggota dasawisma mencoba melakukan budikdamber, tetapi selalu mengalami kegagalan. Permasalahan yang dihadapi adalah kurangnya pemahaman terkait cara budidaya tanaman sayuran organik yang benar dengan memanfaatkan bahan baku yang ketersediaannya melimpah. Program pendampingan ini dilakukan dengan tujuan untuk meningkatkan pengetahuan tentang teknik budidaya tanaman sayuran secara organik dan teknik budikdamber sehingga permasalahan yang dihadapi warga dalam melakukan budikdamber dapat diatasi. Metode pendekatan yang dilakukan dengan cara melakukan pendampingan baik secara tatap muka dengan memperhatikan protocol kesehatan COVID-19 maupun secara daring melalui media sosial dan video. Identifikasi permasalahan dilakukan melalui tanya jawab dan kuesioner yang kemudian dianalisis secara kualitatif. Setelah dilakukan pendampingan tingkat pengetahuan anggota dasawisma tentang budikdamber meningkat yang ditunjukkan melalui keberhasilan warga dalam mempraktekkan budikdamber.]]>
<![CDATA[Potential of Intercropping of Oil Palm (E. guineensis Jacq.) and Liberica Coffee (C. liberica L.): A Case Study in Smallholder Plantation ]]>
<![CDATA[Erick Firmansyah]]>;
<![CDATA[Arif Umami]]>
<![CDATA[ Journal of Applied Agricultural Science and Technology Vol. 5 No. 2 (2021): Journal of Applied Agricultural Science and Technology ]]>
Publisher : <![CDATA[Green Engineering Society ]]>
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DOI: 10.32530/jaast.v5i2.22
<![CDATA[Oil palm (Elaeis guineensis Jacq.) has become the main plantation commodity in Indonesia. Climate change phenomena and competitiveness fluctuation of palm oil commodities have led to increased need for optimized land productivity while maintaining sustainability. This research aimed to study the potential of oil palm intercropping with liberica coffee (Coffea liberica L.) in several smallholder oil palm plantations in Riau Province, Sumatera Island, Indonesia. Measurements in the middle of the non-harvesting path of oil palm showed the age of oil palm is directly proportional to the difference between air and soil temperature and relative humidity under canopy. Oil palm roots were dominantly distributed vertically in solum 0 - 30 cm and always dominant compared to coffee at all horizontal distances observed. While the dominant root coffee distribution was in solum 31 - 60 cm. Analysis results show the tap roots extend no further than 30-45 cm below the soil surface. It was known that oil palm roots are dominantly distributed at a distance of 2-3 m from the trunk while the coffee roots are dominantly distributed at a distance of 1-2 m from the trunk. Analysis of oil palm yields in the intercropping system showed no significant decrease compared to monocropping systems with relatively the same age and production input. Coffee production per tree has decreased by 25-30% compared to the average production in monocropping systems.]]>
<![CDATA[Pengaruh Plant Growth Promoting Rhizobacteria dan Mikoriza Vesikula Arbuskula terhadap Pertumbuhan Kelapa Sawit Main Nursery pada Kondisi Cekaman Kekeringan ]]>
<![CDATA[Muhammad Hady Nugroho]]>;
<![CDATA[Sri Suryanti]]>;
<![CDATA[Arif Umami]]>
<![CDATA[ Vegetalika Vol 11, No 3 (2022) ]]>
Publisher : <![CDATA[Universitas Gadjah Mada ]]>
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DOI: 10.22146/veg.64783
<![CDATA[Cekaman Kekeringan pada bibit kelapa sawit berpengaruh pada pertumbuhan tanaman mulai dari pertumbuhan tanaman terhambat, abnormal hingga tanaman mengalami kematian. Proses peningkatan ketahanan tanaman terhadap kekeringan dapat dilakukan dengan melalui penambahan biostimulan. PGPR (Plant Growth PromotingRhizobacteria) dan MVA (Mikoriza Vesikula Arbuskula) merupakan biostimulan yang penting dalam perkebunan kelapa sawit. Penelitian bertujuan untuk mengetahui pengaruh PGPR dan MVA terhadap pertumbuhan bibit kelapa sawit di main nursery pada kondisi cekaman kekeringan. Metode penelitian menggunakan rancangan acak lengkap faktorial yang terdiri dari 2 faktor. Faktor pertama adalah mikroorganisme yang terdiri dari 1) kontrol atau tanpa mikroorganisme 2) MVA dan 3) PGPR. Faktor kedua adalah penyiraman yang meliputi penyiraman 1 hari sekali dan penyiraman 7 hari sekali, setiap perlakuan masing-masing 5 ulangan. Hasil penelitian menunjukkan bahwa perlakuan mikroorganisme dan penyiraman tidak berpengaruh nyata terhadap pertumbuhan bibit. Meskipun demikian penyiraman setiap hari dengan inokulasi MVA mampu meningkatkan volume akar.]]>
<![CDATA[Design of Internet of Things (IoT) Based Hydroponic Controlling Device in Pyramid Greenhouse ]]>
<![CDATA[Arif Umami]]>;
<![CDATA[Bagus Muhammad Akbar]]>
<![CDATA[ Techno LPPM Vol 8, No 2 (2022) ]]>
Publisher : <![CDATA[Universitas Pembangunan Nasional Veteran Yogayakarta ]]>
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<![CDATA[Smart farming technology was previously implemented at Wedomartani experimental station, Faculty of Agriculture UPN "Veteran" Yogyakarta. It is proven to overcome human resource limitations in hydroponic cultivation. Even so, Smart farming has not been implemented yet in Pyramid Greenhouse, Which is the iconic landmark of the Faculty of Agriculture. Preparing IoT-based devices requires designs with certain specifications. Without an appropriate design, it would be found a failure system. This article’s purpose was to design an Internet of things (IoT) based hydroponic controlling device in Greenhouse Pyramid UPN “Veteran” Yogyakarta. It was built based on a literature study. Expert proofing was performed to ensure the design would work if implemented. The design contained the system overview, hardware description, user interface design, and integration of device system design in hydroponic installations. The design was positively accepted by users (Head of the experimental field and technicians). In the future, the proposed design needs to be realized as a part of greenhouse development.]]>
<![CDATA[Growth and Yield of Soybeans in Various Growing Media Composition and Inoculation of Rhizobacteria on Marginal Soils ]]>
<![CDATA[Aditya Aris Kurniawan]]>;
<![CDATA[Pauliz Budi Hastuti]]>;
<![CDATA[Arif Umami]]>
<![CDATA[ Agrotechnology Research Journal Vol 5, No 2 (2021): Agrotechnology Research Journal ]]>
Publisher : <![CDATA[Perkumpulan Agroteknologi/Agroekoteknologi Indonesia ]]>
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DOI: 10.20961/agrotechresj.v5i2.53968
<![CDATA[Soybean is one of the leading commodities that is being developed in Indonesia. Today, the increase of soybean needs is not followed by its production capacity. Meanwhile, the area of productive land for soybean farming is decreasing due to land conversion for non-agricultural needs. One effort that can be an alternative is using marginal land by applying appropriate technology such as manure and biofertilizer. So that, it was necessary to know the composition of manure and biofertilizer, which was appropriate to increase the growth and yield of soybean plants on marginal soils. Complete Randomized Design was used in the experiment with two factors. The first factor was the ratio of manure: soil (v:v) there are 0:1, 1:1, 1:2, and 2:1. The second factor was rhizobacteria inoculum, which included without rhizobacteria, exogenous rhizobacteria, and indigenous rhizobacteria. Results showed that the composition of the best planting medium for growth and yield of soybean is manure: soil 1: 1 and 1: 2. The source of the rhizobacteria inoculum is not a significant difference to the soybean’s growth and yield. Manure and soil 1: 2 with indigenous inoculum tended to produce the best total number of nodules and effective root nodules. Manure and soil 1:1 with indigenous inoculum produce the best of seeds number. Manure and soil 1:2 or 2:1 with exogenous inoculum tended to produce the best seed index weight (g per 100 seeds).]]>
<![CDATA[Development of Small-Scale Integrated Farming Design: towards Optimizing Agricultural Learning Media ]]>
<![CDATA[Ni Kadek Ema Sustia Dewi]]>;
<![CDATA[Arif Umami]]>
<![CDATA[ SEAS (Sustainable Environment Agricultural Science) Vol. 7 No. 1 (2023) ]]>
Publisher : <![CDATA[Warmadewa University Press ]]>
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DOI: 10.22225/seas.7.1.6847.65-75
<![CDATA[Learning about integrated farming could be done by visiting site locations directly. This is a problem for universities that are located in urban areas. The distance of the integrated agricultural location from the campus often raises a significant cost burden. Therefore, providing a learning model around the university would be more efficient, and students could interact and practice directly. The design concept was compiled based on a literature review. The design was produced by direct observation at Condongcatur experimental garden, then continued SWOT analysis. The design was created using software based on the information gathered. The design development included a general description of the experimental garden, landscape biophysical aspect, concept planning, and design. The resulting design was then validated by experts descriptively using a questionnaire. Meanwhile, user acceptance was measured qualitatively through an interview. Based on the results obtained, theoretically, a small-scale integrated farming design has been successfully compiled and met the requirements to be developed as an agricultural learning model. The design also received a good response from the management, which would then be followed up in the long-term development plan of the experimental garden.]]>
