Agromet
Not a member yet
291 research outputs found
Sort by
MODEL DINAMIK PENILAIAN KESESUAIAN AGROKLIMAT TANAMAN KEDELAI(DYNAMIC MODEL OF AGROCLIMATIC SUITABILITY OF SOYBEAN)
Get PDFThe experiment aims to arrange of data-based of agroclimatic suitability for soybean, to arrange dynamic models for evaluation of suitability for soybean, and to evaluate agroclimatic suitability for soybean on computer. Secondary data of soybean yield and climate were collected from four locations of West Java as specific site targets, those were: Pusakanagara Subang, Cimanggu Bogor, Karangpawitan Garut, and Pasirsarongge Cianjur. Dynamic model has been developed as a tool to assess agroclimatic suitability of soybean which comprises the class, sub class, and sub-sub class level. The model provides information on land productivity, climatic constraint, stages of plant development that related to climate condition. Agroclimatic suitability is classified to five classes, i.e. S1 (very suitable), S2 (suitable), S3 (moderately suitable), S4 (not suitable), and S5 (very not suitable). Base on climate data of 2002, the models indicated that class of S1 were not found. While Cimanggu Bogor is classified as S2; Pusakanagara Subang and Karangpawitan Garut are classified as S3; and Pasirsarongge Cianjur is classified as S4
METODE NERACA ENERGI UNTUK PERHITUNGAN INDEKS LUAS DAUN MENGGUNAKAN DATA CITRA SATELIT MULTI SPEKTRAL(ENERGY BALANCE METHOD FOR DETERMINING LEAF AREA INDEX LAND USING MULTI SPECTRAL SATELLITE IMAGINARY)
Get PDFLeaf area index (LAI) is a variable showing relation between leaf area leaf and area closed over it. The conventionally technique to determine LAI value conducted by measure and accumulate wide of amount of leaf in one selected area and divided broadly area. The other technique, LAI also can be measured by using measuring instrument of solar radiation like attached tube solarimeter parallelly above and below/under plant canopy. Both of the approaches have limitation of spatial which developed new method with remote sensing technique. Determination of LAI with remote sensing technique exploits the nature of spectral of surface both from short wave (sun radiation) and long wave (surface radiation). One of the method able to be developed is surface energy balance approach with Beer-Lambert law. Result of this research indicate that value of LAI for the vegetation area by surface energy balance method and equation of Beer-Lambert law got value of mean LAI for natural forest equal to 3.05 with the range value 2.85 - 3.50 and R2 is 0.91, for the rubber agroforest equal to 3.01 with range value 2.79 - 3.40 and R2 is 0.69, while value of mean LAI for the plantation of monoculture of rubber equal to 2.96 with range value 2.74 - 3.28 and and R2 is 0.82. This method can be used for vegetation area especially for homogeneously like natural forest and monoculture.---------------------------------------------------------------------Indeks luas daun (ILD) merupakan suatu peubah yang menunjukkan hubungan antara luas daun dan luas bidang yang tertutupi. Secara konvensional penentuan nilai LAI dilakukan dengan mengukur dan mengakumulasikan jumlah luas daun dalam satu bidang tertentu dan dibagi dengan luas bidang tersebut. ILD juga dapat diukur menggunakan alat ukur radiasi surya seperti tube solari meter yang dipasang paralel di atas dan di bawah tajuk tumbuhan. Kedua pendekatan tersebut mempunyai keterbatasan spasial, sehingga dicoba mengembangkan metode baru dengan teknik penginderaan jauh. Pendugaan ILD dengan teknik ini memanfaatkan sifat spektral dari permukaan baik yang bersumber dari radiasi gelombang pendek dari matahari maupun radiasi gelombang panjang dari permukaan. Salah satu metode yang dapat dikembangkan adalah pendekatan neraca energi untuk menghasilkan peubah-peubah penduga ILD menggunakan hukum Beer-Lambert. Hasil penelitian ini menunjukkan bahwa nilai rata-rata ILD untuk lahan bervegetasi menggunakan metode neraca energi dan persamaan hukum Beer-Lambert untuk hutan alam sebesar 3.05 dengan nilai kisaran selang 2.85- 3.50 dan R2 validasi dengan ILD lapangan sebesar 0.91. Nilai rata-rata LAI pendugaan untuk agroforest karet sebesar 3.01 dengan selang 2.79–3.40 dan nilai R2 validasi sebesar 0.69, sedangkan nilai rata-rata ILD untuk perkebunan karet monokultur sebesar 2.96 dengan selang 2.74–3.28 dan nilai R2 validasi sebesar 0.82. Metode pendugaan ILD ini dapat digunakan untuk lahan bervegetasi terutama untuk pertanaman homogen seperti hutan alam dan monokultur
THE USE OF AGRICULTURE SYSTEM MODELING FOR CROP MANAGEMENT: CASE STUDY IN PUSAKA NEGARA(PENGGUNAAN MODEL SISTIM PERTANIAN UNTUK PENGELOLAAN TANAMAN :STUDI KASUS PUSAKANEGARA)
Get PDFAgriculture system modeling is an effective tool in assisting agriculture practitioners to make crop calendar and to set up crop management strategies. Integration of the toll with climate forecast modeling will provide greater help for decision makers and farmers to set up better drought coping strategies. However the adoption of this tool is constrained by limited availability of long historical daily climatic data. This study indicates that the use of climatic data generator can solve this problem. Application of this approach at Pusaka Negara was assessed. It is suggested that when April SOI phase is rapidly falling or constantly negative (indicating EL-Nino years), keeping planting rice in the dry season is not recommended. Farmers may need to change their crops to non-rice crops requiring less water. The latest planting time for these crops in the El-Nino years should be first week of May. If the harvesting of first rice crops occur after 1st week of May, it is suggested that the land should be fallowed.---------------------------------------------------------------------Pemodelan sistim pertanian merupakan salah salat alat yang efektif untuk membantu pelaksana lapang dalam menyusun kalender tanam atau mengatur strategi pengelolaan tanaman. Penggabungan model tanaman dengan model prakiraan iklim akan sangat membantu pengambil kebijakan dan petani dalam menyusun strategi antisipasi kekeringan. Namun penggunaan model ini seringkali mengalami hambatan karena terbatasnya ketersediaan data iklim harian jangka panjang. Penelitian ini menunjukkan bahwa penggunakan pembangkit data iklim dapat memecahkan masalah tersebut. Aplikasi pendekatan ini di Pusakanegara telah dilakukan. Hasil penelitian merekimendaiskan ika kondisi SOI pada bulan April turun secara cepat atau konstan negatif (mengindikasikan El Nino), penanaman padi pada musim kemarau tidak direkomendasikan. Petani disarankan untuk mengganti tanamannya dengan tanaman selain padi yang memerlukan lebih sedikit air. Waktu penanaman paling terakhir pada tahun El Nino adalah minggu pertama bulan Mei. Jika panen padi pertama dilakukan setelah 1 Mei sangat disarankan untuk memberakan lahan
ANTHROPOGENIC CHANGES ON LAND COVER AND ITS IMPACT ON ACTUAL EVAPOTRANSPIRATION
No full text Tulisan ini memaparkan perubahan distribusi vegetasi akibat kegiatan manusia serta dampaknya terhadap perubahan evapotranspirasi aktual di Monsoon Asia. Perbandingan antara vegetasi aktual dan potensial menjadi indikator dari dampak perubahan akibat kegiatan manusia. Kondisi vegetasi akual diidentifikasi dengan menggunakan citra satelit, sedangkan vegetasi potensial diekstrak dengan menggunakan data iklim. Dengan membandingkan distribusi vegetasi antara potensial dan aktual, ternyata bahwa perubahan banyak terjadi di India, China, Indonesia dan Malaysia. Selanjutnya, dengan menggunakan analisis neraca air dilakukan perhitungan evapotransipirasi aktual untuk kedua kondisi tersebut dengan menggunakan data iklim yang sama, tetapi dengan nilai albedo yang berbeda sebagai penciri perbedaan antara kondisi vegetasi potensial dan actual. Perubahan a E berkisar antara 0-12% per tahun. Nilai 0 untuk mencirikan daerah yang tidak mengalami perubahan akibat kegiatan manusia. Penurunan a E sebesar kurang dari 5% teridentifikasi di daerah yang mengalami perubahan dari evergreen broadleaf forest (seasonal) ke padi sawahataupun dari hutan subtropikal menjadi lahan pertanian, seperti yang terjadi di Shandong (China), Uttar Pradesh (India). Penurunan a E mencapai 9% teridentifikasi pada saat hutan sub tropis berubah menjadi padi sawah, seperti yang terjadi di Assam (India), serta Guangdong dan Guangxi (China). Penurunan sebesar 12% terjadi pada saat hutan tropis berubah menajdi lahan pertanian seperti yang terjadi di Kalimantan Selatan (Indonesia) and Pahang (Malaysia)
EVALUASI DAMPAK PERUBAHAN PENGGUNAAN LAHAN TERHADAP VOLUME LIMPASAN STUDI KASUS: DAS CILIWUNG HULU, JAWA BARAT (EVALUATION OF LANDUSE CHANGE IMPACT ON RUN-OFF VOLUME CASE STUDY : CILIWUNG HULU WATERSHED, WEST JAVA)
Get PDFThe upper Ciliwung watershed is one of the critical catchments areas in Java Island. A major element of this area is the modification of natural land-cover due to human activities. Land use change is driven by the interaction between physical and socio-economic factors. The objective of this paper is to develop a land use change model and to evaluate runoff volume based on land use prediction. The pseudo-R2 or 2 in this model is 51.7% and the calibration between predicted land use and the real is 65.5%. The analysis result of land use change for period 2005-2010 and 2015-2020 show a special change pattern. In the first period, the forest land will decrease by 85%, while resettlements land increase by 144%, so the Curve Number value will increase from 80 to 81. These indicate decreasing capability of the upper Ciliwung to retain rainfall. The impact of this condition will increase runoff volume from 660.000 m3 to be 905.000 m3. In the second period, the forest and resettlements land will increase by 612% and 28%, so the Curve Number will decrease from 80 to be 78. This will decrease runoff volume from 805.000 m3 to be 803.000 m3
ANALISIS POLA UNSUR METEOROLOGI DAN KONSENTRASI POLUTAN DI UDARA AMBIEN STUDI KASUS : JAKARTA DAN BANDUNG (ANALYSIS OF PATTERN OF METEOROLOGY VARIABLE AND AMBIENT POLUTANT CONCENTRATION CASE STUDY : BANDUNG AND JAKARTA)
Get PDFMeteorological conditions are the important factors that influence tranformation and tranportation process of the polutant in the atmosphere. The aim of this research is to study correlation between local meteorology condition with ambient polutant concentration. Case study has been done in Jakarta and Bandung. Research method is secondary data analysis by plot meteorology component (radiation, temperature, hummidity and wind velocity) and polutant consentration, to gain fluctuation pattern from both component and than do correlation analysis. Result of the analysis show that the influence of each meteorology component differ to each polutant component and depend on local condition. In Bandung and Jakarta, radiation fluctuation has negative correlation with CO, NO2, Nox and PM10. The most negative correlation in Bandung is wind velocity with CO which has correlation value -0.74, and correlation between humidity and O3 which has value -0.8. While the most positive correlation is correlation between temperature and radiation with O3 which has value 0.7 – 0.8. Humidity has positive correlation with several polutant. In Jakarta, in general, coefisien correlation value both positive and negative correlation less than coefisien correlation in Bandung, except for O3. The influence of amount and kind of emition also contribute to them. The unique matter has been found that meteorology component fluctuation in both Jakarta and Bandung has high correlation positive and negative with O3, up to the value -0.8 to +0.7. The other polutant component has small in both negative and positive cerrelation (±0.5)
RESPON ANGGREK MOKARA CHARK KWAN TERHADAP PERBEDAAN INTENSITAS CAHAYA (LIGHT INTENSITY RESPONSE OF ORCHID MOKARA CHARK KWAN)
Get PDFOrchid plant response to light intensity is dependent to crop variety. Generally, epyphyte orchid need less light intensity compare to teresterial orchid. The experiment aim to analyse the response of Mokara Chark Kwan to reducing light intensity. Randomised BlockDesign has been employed using five types of net with five replication. The main asumption to analyse is that plant well growing with sufficient nutrient and homogen age. The results indicated that more reducing light intensity is more increment of plant height and width of leave. Reducing light intensity, however, is not influence flower initiation and formation
ANALISIS NERACA AIR UNTUK PENETAPAN PERIODE TANAM TANAMAN PANGAN DI PROPINSI BANTEN (ANALYSIS OF WATER BALANCE FOR DETERMINE GROWING PERIODS OF FOOD CROPS IN BANTEN PROVINCE)
Get PDFGrowing periods can be determined using water balance analysis to decrease harvest risk in certain area. Generally, there are two types of land use for crop, irrigated land and non-irrigated land. The experiment aims to determine growing periods of food crop in Banten Province. Modified method of Thornthwaite and Mather of bookkeeping system of water balance has been used base on decades data. Water balance analysis of irrigated land showed that in the area of Serang District has growing periods potencially of 140-170 days with growing periods starting from Dec2 till Jan1, but necessary need water supply from irrigation as amount 8.5-22.5 mm to growing rise twice a year or planted with other food crops after rice if no irrigation. Meanwhile in Tangerang District (Pakuhaji) and Pandeglang District (Pagelaran) has potency of 182-193 days of growing periods with starting on Sep3 at Pakuhaji and on Dec3 at Pagelaran. In these area rice can be planted twice a year without irrigation. Futhermore, for non-irrigation/land with monthly high rainfall, the analysis indicated that the area has potency of growing periods of 182 days as even through the year. Planting dates can be started from Oct1 till Dec1, with sequence of rice-rice or rice-rice-other food crops
EVALUASI PRAKIRAAN CURAH HUJAN BMG: STUDI KASUS KABUPATEN INDRAMAYU (EVALUATION OF BMG RAINFALL FORECASTING : CASE STUDY OF INDRAMAYU DISTRICT)
No full textIndramayu District is one of paddy production area in West Java and it’s contribution to total province production around 35%. This district is very prone to drought and flood, especially when ENSO events. Therefore, ability to predict season onset and rainfall characteristics is necessary. The objective of this research is to evaluate the accuracy BMG’s (Meteorology and Geophysic Agency)forecast and improve Climate Forecasting Zone (CFZ) of Indramayu. The evaluation used predicton and observation data from 1987-2001 for rainfall characteristics and 1995-2001 for season onset using Chi-Square test. Improvement CFZ of Indramayu was analyzed using Principle Component Analysis and Cluster Analysis. Result of Chi-Square test indicate that rainfall characteristic forecast is significantly different with observation. But, prediction of season onset is relatively well. Generally, accuracy of season onset forecast at CFZ-6 is 57,1%, while at CFZ-7 around 50-85,7%. Accuracy rainfall characteristics forecast is between 43,6 % 44.8 %. The accuracy is still lower caused of two primary factor. First, regional division of Indramayu CFZ only divide into two zone i.e. CFZ-6 and CFZ-7 is too rough, where CFZ-6 represent 122.025 ha and CFZ-7 represent 81.986 ha, and rainfall variance in the same CFZ is still high. Second, statistical model that used to predict season onset and rainfall characteristics still is not appropriate with data characteristic. Furthermore, the result indicate that CFZ in Indramayu should be divided into eight CFZ from six CFZ before. Test of monthly rainfall data in the same CFZ using general linear model indicate that number of station which not include to the same CFZ decrease with increase of CFZ from six to eight
PEWILAYAHAN AGROKLIMAT TANAMAN NILAM (Pogostemon spp.) BERBASIS CURAH HUJAN DI PROVINSI LAMPUNG (AGROCLIMATE ZONING OF PATCHOULY (Pogostemon ssp.) BASED ON RAINFALL IN LAMPUNG PROVINCE)
Get PDFThe research purposed to determine the patchouly cropping in Lampung Province based on the agroclimate feasibility of area rainfall and to determine the monthly rainfall probability which less than the patchouly requirement. There are four steps on this research such as to determine the seasonal rainfall distribution by Principle Component Analysis, seasonal rainfall zoning by Cluster Analysis, and agroclimate zoning of patchouly by superimpossed annual region rainfall map, regional map of wet month, topography map to patchouly agroclimate requirement, and to determine the monthly rainfall probability which less than the patchouly crop requirement. The result of research shows 2,069,005 ha of Lampung Province area most feasible and feasible to patchouly cropping, which are spread in Lampung Barat Regency (15.7%), Lampung Tengah Regency (15.5%), Way Kanan Regency (14.3%), Tanggamus Regency (14%), Lampung Utara Regency (12.5%), Lampung Timur Regency (10.8%), Tulang Bawang Regency (8.5%), Lampung Selatan Regency (8.2%), Bandar Lampung City (0.4%) and Metro City (0.1%). The results also reveal that the seasonal rainfall in Lampung Province can be grouped in seven types (I-VII), and the most feasible area lay on type I-IV, but for feasible area lay on type I-VI. Related to rainfall probability, at type I there is not occured monthly rainfall ≤ 200 mm with probability ≥ 60%, where as at type II the condition can be occurred 5 months, at type III and IV occurred 4 months, and at type V and VI occurred 7 months