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All Journal International Journal of Advances in Applied Sciences UG Journal Gontor AGROTECH Science Journal Agrosains: Jurnal Penelitian Agronomi JURNAL PERTANIAN PRESISI (JOURNAL OF PRECISION AGRICULTURE) Journal of Sylva Indonesiana Jurnal Pembelajaran dan Biologi Nukleus Akar (Aspirasi Karya Anak Rimba) : Jurnal Ilmiah Hutan & Kehutanan Jurnal Pengabdian Masyarakat Sapangambei Manoktok Hitei Jurnal Pengabdian Kepada Masyarakat Darma Saskara
Paranita Asnur
Universitas Gunadarma
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Environmental Science Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Physics Social Sciences Other

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EVALUASI KEMAMPUAN LAHAN UNTUK PERTANIAN DI KABUPATEN MAJELENGKA, JAWA BARAT Asnur, Paranita; Nurachmania, Meylida
Jurnal Akar Vol. 2 No. 2 (2020): Agustus Jurnal Akar
Publisher : PRODI KEHUTANAN UNIVERSITAS SIMALUNGUN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36985/jar.v9i2.319

Abstract

Abstrak:Pencarian data curah hujan dan suhu Kabupaten Majalengka, Jawa Barat dimaksudkan agar dalam pendayagunaan lahan yang digunakan sesuai dengan kemampuannya. Tujuan dari penelitian ini adalah untuk mengetahui kemampuan lahan di Kabupaten Majalengka berdasarkan curah hujan dan suhu serta mengevaluasi kesesuaian antara penggunaan penggunaan lahan. Penelitian ini menggunakan metode kualitatif Pada penelitian ini menggunakan bahan berupa data curah hujan dan suhu serta komoditas unggulan di daerah Majalengka, Jawa Barat. Selama periode tahun 2010-2019 data curah hujan di Kabupaten Majalengka dengan curah hujan tahunan terendah yaitu sebesar 1.457 mm/tahun yang terjadi pada tahun 2019 dan tertinggi sebesar yaitu sebesar 7.170 mm/tahun pada tahun 2014 periode tahun 2010-2019 rata-rata suhu Kabupaten Majalengka yaitu 27°C hingga 27.7°C. Suhu udara dan curah hujan tersebut masih cocok untuk tanaman-tanaman seperti padi sawah, jagung, kacang kedelai padi sawah, jagung dan kacang kedelai.   Kata Kunci: evaluasi kemampuan lahan, curah hujan, suhu, Majalengka, komoditas unggul   The search for rainfall and temperature data in Majalengka Regency, West Java is intended to make use of the land in accordance with its capabilities. The purpose of this study is to find out about the ability of land in Majalengka Regency based on rainfall and temperature and evaluate the suitability between land use in the form of superior commodity crops and land capability that has been determined. This study uses data search or searching methods, in the search method there are two ways, namely by linear search and binary search. In this study using material in the form of rainfall and temperature data and leading commodities in the majalengka area, west Java. During the 2010-2019 period rainfall data in Majalengka Regency with the lowest annual rainfall was 1,457 mm / year which occurred in 2019 and the highest amounted to 7,170 mm / year in 2014 the period 2010-2019 the average temperature of the Regency Majalengka is 27 ° C to 27.7 ° C. The temperature and rainfall are still suitable for plants such as lowland rice, corn, soybean, lowland rice, corn and soybeans.    
KEMAMPUAN DAN KLASIFIKASI PENGGUNAAN LAHAN UNTUK PERTANIAN DI KABUPATEN PARIAMAN, SUMATERA BARAT: Paranita Asnur, Rini Laraswati, Asnur, Paranita; Laraswati, Rini
Jurnal Akar Vol. 3 No. 1 (2021): JURNAL AKAR FEBRUARI
Publisher : PRODI KEHUTANAN UNIVERSITAS SIMALUNGUN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36985/jar.v10i1.470

Abstract

Abstrak: Jenis  data  yang  digunakan  dalam penelitian  ini  adalah berupa data sekunder yaitu berupa data yang diperoleh  berbagai  sumber instansi  yang terdiri dari Badan Pusat Statistik (BPS), Kabupaten Padang Pariaman dalam angka 2020, kemudian data suhu dan kelembaban 10 tahun terakhir, data produk unggulan (pertanian, perkebunan, hortikultura) Kabupaten Padang Pariaman tersebut diolah ke dalam microsoft excel, dan data berupa kebutuhan pupuk pada komuditas unggul tersebut.  Kabupaten Padang Pariaman mempunyai iklim tropis dengan suhu maksimum rata-rata sebesar 25,7°C, sedangkan rata-rata kelembaban pada kabupaten Padang Pariaman memiliki tingkat kelembaban 86,4%. Dengan kondisi iklim suhu dan kelembabantersebut, terdapat beberapa jenis komoditas unggulan pertanian pada kabupaten tersebut seperti padi, dan ubi kayu. Pada komoditas unggulan perkebunan yaitu tanaman kakao, kelapa sawit dan karet, sedangkan komoditas unggulan hortikultura adalah duku, terung, danmanggis. Pemupukan dilakukan harus sesuai dengan kebutuhan dari masing-masing tanaman dan cara pemberian harus tepat agar tidak merugikan dan tidak merusak lingkungan akibat kelebihan konsentrasi serta waktu dan cara aplikasinya.    
EVALUASI KEMAMPUAN DAN KESESUAIAN LAHAN PERTANIAN DI KABUPATEN BOGOR Asnur, Paranita
UG Journal Vol 14, No 2 (2020)
Publisher : Universitas Gunadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Kesesuaian penggunaan lahan perlu dievaluasi agar dapat memanfaatkan sumberdaya lahan dan agar tanah dapat berfungsi tanpa mengurangi tingkat kesuburannya.Kesesuaian penggunaan lahan berdasarkan cuaca, curah hujan suhu dan iklim padabidang pertanian secara umum dan untuk mengetahui komoditas unggulan daerahbogor meliputi hutan produksi, hortikultura dan hasil pangan daerah Bogor. Penelitianini menggunakan metode kualitatif yang prosesnya dilakukan dengan pengolahandata curah hujan, suhu pada tahun 2011-2019 yang dicari dari stasiun pusat statistikdiantaranya BMKG (Badan Meteorologi Klimatologi dan Geofisika) dan BPS (BadanPusat Statistik). Rata-rata curah hujan tahunan 2.500-5000 mm/tahun. Suhu rata-rata kabupaten bogor adalah 20-30 dengan rata-rata tahunan sebesar 25 derajat Celcius.Komoditas unggulan pangan kabupaten Bogor yang didapat yakni padi sawah,jagung dan ubi jalar, sedangkan komoditas unggul hortikultura unggulan di KabupatenBogor yaitu bawang daun, kentang, kubis.
Survei Penyakit Busuk Pangkal Batang Kelapa Sawit di Kebun Cikasungka, PT Perkebunan Nusantara VIII, Bogor Amelia Salsabila; Evan Purnama Ramdan; Paranita Asnur; Hendi Hidayat
Agrosains : Jurnal Penelitian Agronomi Vol 24, No 1 (2022): Agrosains: Jurnal Penelitian Agronomi
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/agsjpa.v24i1.56720

Abstract

Oil palm (Elaeis guineensis Jack) is an important plantation commodity for both agriculture and the economy, because its oil-producing potential is greater than that of other crops, such as corn, soybean and sunflower oil. The main disease of this plant is stem rot (BPB) caused by Ganoderma boninense. Therefore, it is necessary to know the incidence and severity of the disease as well as the control efforts that have been carried out at PTPN VIII Palm Oil Plantation, Cikasungka. The study used a Randomized Block Design with 3 observation blocks that had Ganoderma boninense attack each covering an area of 25 ha, each block taken 5 observation plots with an area of 50 x 50 m2 each (4 on the edge of the block and 1 in the middle of the block), then from each plot, 5 sub-plots measuring 10 x 10 m2 were taken (4 at the edges of the plot and 1 in the middle of the plot). Observational data were analyzed with variance and further tested by Duncan Multiple Range Test. The results of this study indicate that the symptoms of disease in the garden are very diverse, ranging from mild to very severe. The signs of the disease can be identified through the fruiting bodies of Ganoderma boninense. The incidence of disease in all survey locations ranged from 16 – 38%, where B3 was significantly different from B1. The lowest percentage of disease severity was in location B3 (5.75%) which was statistically significantly different from location B1. Location B1 had the highest disease severity, which was 23%. The control of BPB that has been carried out at the survey site includes the construction of isolation trenches followed by the application of biofungicides with the active ingredients of T. koningii and T. harzianum.
Identification, Pathogenesis and Virulence Test of Fungus Causes Postharvest Disease of Gedong Gincu Mango from Pal Market, Cimanggis, Depok Inti Mulyo Arti; Paranita Asnur; Ratih Kurniasih; Evan Purnama Ramdan
JURNAL PEMBELAJARAN DAN BIOLOGI NUKLEUS Vol 8, No 2 (2022): Jurnal Pembelajaran Dan Biologi Nukleus Juli 2022
Publisher : Fakultas Keguruan dan Ilmu Pendidikan Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/jpbn.v8i2.2628

Abstract

Mango is a climacteric fruit that can increase in maturity after harvest. As a result, mangoes will rot more easily because they are infected with pathogens such as fungi. The objectives of the study were to identify, examine the pathogenicity, and virulence of the fungus that causes postharvest disease in mangoes. Sampling of mangoes was carried out at the Pal market, Cimanggis, Depok by selecting fruits that were indicated to be infected with post-harvest diseases. Symptoms that appear are then described visually. Isolation of the fungus was carried out from the part of the mango fruit on Potato Dextrose Agar (PDA) media, then it was identified morphologically both macroscopically and microscopically. The virulence test was carried out by inoculating the fungus at 4 inoculation points of mango fruit. The results showed that the symptoms that appeared were symptoms of anthracnose in the form of blackish brown, sunken, and widespread spots on the mango skin. The results of morphological identification showed that the associated fungus was Colletotrichum gloeosporiodes which was characterized by white fungal colonies and fast growth, while the condia were cylindrical in shape with rounded ends. Confirmation results with Koch's postulates showed that postharvest anthracnose in mangoes was caused by C. gloeosporiodes. Meanwhile, virulence testing showed that C. gloeosporiodes had moderate to high virulence levels with symptomatic lesions ranging from 2,50 to 5,85 cm.
Mapping of Degraded Soil Properties in Gunung Leuser National Park Paranita Asnur; Achmad Siddik Thoha; Deni Elfiati
Journal of Sylva Indonesiana Vol. 2 No. 02 (2019): Journal of Sylva Indonesiana
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1206.068 KB) | DOI: 10.32734/jsi.v2i2.994

Abstract

Deforestation that occurs causes a decrease in soil fertility. Knowing soil fertility in the landscape will provide information on land management. The nature of the soil differs from one point to another, therefore it is necessary to map the properties of the soil. The purpose of this study is to map the distribution of the properties of forest land in areas that have been degraded. The land is a former privately-owned oil palm plantation in the Gunung Leuser National Park (TNGL) forest. The study uses a continuous grid interpolation method, thus forming polygons of soil properties. The soil types are Inseptisol an Ultisol. The results of the study show that most of them belong to the type of soil that is finely textured so that erosion can easily occur if surface runoff occurs in areas that have been exposed. The soil water content range that has the widest area is the range 26.98 - 29.50% with an area of 14.38 ha (42.91% of the research area). The range of land capacity has the widest area, namely the range 42.24 - 49.32% with an area of 13.32 ha (39.76% of the research area). Low organic matter content and acidic soil pH. Based on the results of these studies, the land in the research area is less fertile. However, restoration efforts are very possible because many tree species are adaptive with low soil fertility.
Testing the Effectiveness of Azotobacter Bacteria and Organic Materials on the Growth, Production, Assembly of Plant N and Soil N Availability in Kailan Plants (Brassica Oleraceae) Alki Satrio Plapito; Aisyah Aisyah; Paranita Asnur
Gontor AGROTECH Science Journal Vol 7, No 1 (2021): June 2021
Publisher : University of Darussalam Gontor, Ponorogo, East Java Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21111/agrotech.v7i1.5731

Abstract

The attractiveness of organic agriculture, has high economic and social value, low production of organic kailan horticultural commodities causes market demand not to be fulfilled. Efforts that can be applied and applied to support the growth and development of kailan plants are the use of the Bacteria Azotobacter sp. This study aims to determine the effect of the inoculation of the Azotobacter sp. The administration of organic matter and the interaction between the inoculation of Azotobacter. sp and the provision of organic matter on the growth, production and uptake of plant N and soil N availability in kailan plants. The design used in this study was a 2-factor factorial Completely Randomized Design (CRD). The first factor was the isolation of Azotobacter sp consisting of 3 levels, namely, a dose of 0 ml, 10 ml and 20 ml. The second factor is the provision of organic material in the form of goat manure which consists of 2 levels, namely, without giving organic material and giving 100 gr of organic material. From the results of data analysis, it was found that the inoculation of bacteria had an Azotobacter sp effect on the growth and production and uptake of plant N in kailan plants, it could be seen in the parameters of plant height, number of leaves, stem diameter, leaf area, shoot wet weight, and plant N uptake. Organic matter affects the growth and production as well as plant N uptake and soil N availability in kailan plants, this can be seen in the parameters of plant height, number of leaves, stem diameter, leaf area, crown weight, shoot dry weight, plant N uptake and availability. N land. The interaction between Bacterial inoculation Azotobacter sp. and organic matter affects plant growth and production, including plant height, leaf area and plant N uptake.
PERTUMBUHAN DAN PRODUKSI TANAMAN BAWANG MERAH (Allium cepa L) PADA KOMBINASI MEDIA TANAM YANG BERBEDA Ratih Kurniasih; Adinda Nurul Huda Manurung; Evan Purnama Ramdan; Paranita Asnur
Jurnal Pertanian Presisi (Journal of Precision Agriculture) Vol 6, No 2 (2022): Jurnal Pertanian Presisi
Publisher : Universitas Gunadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35760/jpp.2022.v6i2.6885

Abstract

Bawang merah merupakan komoditi penting Indonesia yang membutuhkan media yang sesuai untuk pertumbuhan dan perkembangan umbi bawang. Tujuan dari penelitian ini adalah untuk mempelajari pertumbuhan dan produksi bawang merah pada berbagai kombinasi media yang berbeda. Penelitian ini dilaksanakan pada bulan Oktober – Desember 2018 di rumah kaca kampus F6, Universitas Gunadarma, Depok, Jawa Barat. Penelitian disusun dalam rancangan acak kelompok dengan perlakuan kombinasi media tanam yang terdiri dari 6 taraf perlakuan dan 10 ulangan. Perlakuan merupakan kombinasi media tanam dengan perbandingan volume, yaitu: P0 = tanah; P1 = tanah: arang sekam: cocopeat (2:1:1); P2 = tanah: cocopeat: pupuk kandang sapi (2:1:1); P3          = tanah: arang sekam: pupuk kandang sapi (2:1:1); P4 = tanah: cocopeat: pupuk kandang kambing (2:1:1); dan P5 = tanah: Arang Sekam: pupuk kandang kambing (2:1:1). Kombinasi media tanam berpengaruh nyata pada tinggi tanaman bawang merah umur 6, 8 dan 10 MST, jumlah daun umur 4, 6, 8 dan 10 MST, bobot basah tanaman dan bobot kering umbi. Perlakuan kombinasi media terbaik adalah P3 (tanah: arang sekam: pupuk kandang sapi (2:1:1), yang menghasilkan produksi bobot kering umbi terbaik.
Pemanfaatan Nasi Basi Dan Kulit Buah Nanas Menjadi Pupuk Organik Cair (POC) Paranita Asnur; Ratih Kurniasih; Inti Mulyo Arti; Evan Purnma Ramdan; Fitri Yulianti
Jurnal Pengabdian Masyarakat Sapangambei Manoktok Hitei Vol. 3 No. 1 (2023): Jurnal Pengabdian Masyarakat Sapangambei Manoktok Hitei
Publisher : Lembaga Pengabdian Masyarakat Universitas Simalungun

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (532.147 KB) | DOI: 10.36985/jpmsm.v3i1.614

Abstract

Limbah nasi basi dan kulit buah nanas melimpah setiap hari dalam kehidupan masyarakat Indonesia, dan dibuang dengan percuma menjadi limbah rumah tangga dan limbah pasar, berkontribusi sebagai penyumbang polusi pada lingkungan. Nasi basi dan kulit buah nanas termasuk bahan organik yang dapat dimanfaatkan menjadi pupuk organik cair. Tim pengabdian kepada masyarakat memberikan penyuluhan, berbagi ilmu dan pengetahuan teknologi dan pelatihan pembuatan pupuk organik cair dari nasi basi dan kulit buah nanas di lingkungan RT 03 RW 14 Taman Pagelaran desa Padasuka, Kabupaten Bogor. Hasil kegiatan berupa produk pupuk organik cair nasi basi dan kulit buah nanas, serta peningkatan pengetahuan dan keterampilan warga dari mulai persiapan bahan hingga penggunaan pupuk organik cair pada tanaman di pekarangan di sekitar rumah warga. Pembuatan pupuk organik cair yang konsisten dan sesuai standar, mendukung upaya pemeritah dalam mengurangi limbah rumah tangga dan pasar. Selain itu, penggunaan pupuk rumahan juga menghasilkan nilai ekonomi hingga menambah pendapatan masyarakat dan menstabilkan kesuburan tanah pada pertanian urban
Identification of mangrove tree species using deep learning method Paranita Asnur; Rifki Kosasih; Sarifuddin Madenda; Dewi A. Rahayu
International Journal of Advances in Applied Sciences Vol 12, No 2: June 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v12.i2.pp163-170

Abstract

Artificial intelligence can help classify plants to make identification easier for everyone. This technology can be used to classify mangrove trees. The degradation of mangrove forests has resulted in a 20% loss of biodiversity, an 80% loss of microbial decomposers, reduced C-organic soil, and fish spawning grounds, resulting in estimated losses in the ecological and economic fields for up to IDR 39 billion. The identification of different mangrove species is the first step in ensuring the preservation of these forests. Therefore, this research aimed to develop algorithms and a convolutional neural network (CNN) architecture to classify mangrove tree species with the highest possible accuracy using Python software. The architecture selection for this model includes a batch size of 32, an input image size of 128x128 pixels, four classes, four convolution layers, four rectified linear unit (ReLU) layers, 2x2 max-pooling, and two fully connected layers (FCL). The finding showed that the resulting accuracy from the test was 97.50%, while the validation test was 81.25%, applied to four types of mangrove leaves, including Avicenia marina, Avicenia officialis, Rizophora apiculata, and Soneratia caseolaris.
Co-Authors Achmad Siddik Thoha Aisyah Aisyah Alki Satrio Plapito Amelia Salsabila Arti, Inti Mulyo Deni Elfiati Evan Purnama Ramdan Evan Purnama Ramdan Evan Purnma Ramdan Fitri Yulianti Fitri Yulianti Fitri Yulianti Hendi Hidayat Inti Mulya Arti Ivan P. Ramdan Laraswati, Rini Manurung, Adinda Nurul Huda Maulana Syarif Hidayatullah Mufid Suryani Nida Nusaibatul Adawiyah Nur Azifah Nurachmania, Meylida Ratih Kurniasih Rifki Kosasih Risa Septiani Sarifuddin Madenda Siti Aisyah Stevani Adinda Nurul Huda