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Agromet

agromet
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Published by Institut Pertanian Bogor

ISSN : 01263633 EISSN : 2655660X DOI : -

Core Subject : Agriculture,

Agriculture, Biological Sciences & Forestry

Agromet publishes original research articles or reviews that have not been published elsewhere. The scope of publication includes agricultural meteorology/climatology (the relationships between a wide range of agriculture and meteorology/climatology aspects). Articles related to meteorology/climatology and environment (pollution and atmospheric conditions) may be selectively accepted for publication. This journal is published twice a year by Indonesian Association of Agricultural Meteorology (PERHIMPI) in collaboration with Department of Geophysics and Meteorology, Faculty of Mathematics and Natural Sciences, IPB University.

Arjuna Subject : -

Articles 289 Documents

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PEMODELAN DAN SIMULASI PRODUKTIVITAS PERKEBUNAN KELAPA SAWIT BERDASARKAN KUALITAS LAHAN DAN IKLIM MENGGUNAKAN JARINGAN SYARAF TIRUAN MODELING AND SIMULATION OF PALM OIL PLANTATION PRODUCTIVITY BASED ON LAND QUALITY AND CLIMATE USING ... H. Hermantoro
Agromet Vol. 23 No. 1 (2009): June 2009
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Crop growth and production on particular land and climate is strongly influenced by the interaction between plants, climate, soil, and management. Land quality and climate greatly affect the expected production of oil palm are: soil type, soil depth, altitude, soil pH, rainfall / year, average temperature, water deficit in mm / yr, air humidity, and solar radiation. Oil palm production as a function of land quality and climate can be predicted using various methods. Artificial Neural Network (ANN) is one recognized method for predict land productivity. In this study ANN Back propagation algorithm is used. The aim of this research is to develop ANN model and simulation of Oil Palm Plantation Productivity. Through the optimization procedure obtained the best ANN architecture is 11 neurons in input layer - 3 neurons in the hidden layer and - 1 neuron in the output layer, at 30,000 iterations of training step obtained the best model of oil palm productivity prediction with a value of R2: 0.98 and RMSE: 0:49, while from the test step obtains the value of R2: 0.94 and RMSE: 1.63. The results of simulation show that the simultaneous influence of several climatic changes that decrease the quantity of rainfall 100 mm / yr, 1 0C temperature rise, and increasing water deficit 50 mm / yr reduce the productivity of oil palm plantations for 2.15 tons / ha / year. From this research can be concluded that ANN can be used to predict the production of palm oil based on quality of land and local climate with very good results.

EFEK PENGEMBANGAN PERKOTAAN TERHADAP KENAIKAN SUHU UDARA DI WILAYAH DKI JAKARTA URBAN DEVELOPMENT EFFECT TO AIR TEMPERATURE IN JAKARTA AREA Ali Mas’at
Agromet Vol. 23 No. 1 (2009): June 2009
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

The purpose of this research is to know the amount of air temperature increase as a negative effect of city development in DKI Jakarta region. The method is to differentiate air temperature in urban areas (Meteorology station in Kemayoran-BMKG) towards sub urban areas (Meteorology station in Halim P.K. and Cengkareng). The result of this research shows that during the last of 28 years, average air temperature has increased 0.17 oC in Jakarta which tends to be 0,8 oC higher than those of sub urban areas.

ANALISIS DERET WAKTU CURAH HUJAN UNTUK MENGKAJI PERUBAHAN IKLIM DI DAERAH TANGKAPAN AIR PROPINSI LAMPUNG TIME SERIES ANALYSIS OF RAINFALL TO STUDY CLIMATE CHANGE IN WATERSHED AREA, LAMPUNG PROVINCE Tumiar Katarina Manik
Agromet Vol. 23 No. 1 (2009): June 2009
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

One important climate factor for tropical area is rainfall. Changes in rainfall pattern will cause numerous problems especially in agricultural activities. Rainfall pattern could also lead to either flood or drought; problems which will not only affect agricultural activities but also socio-economic situation of broad community. Therefore, study of local climate variability focusing on rainfall related to the global warming is important. Time series analysis ( correlogram and periodogram) of daily rainfall was chosen to investigate the phenomena of global warming in local scale. Data (1974-2004) was collected from Sumberjaya, Air Hitam and Fajar Bulan; three stations located inside one of the important watershed in Lampung Province. From the collelogram, in general daily rainfall in this upland and forest area shows independency up to the year of 1990. No seasonal pattern could be an indicator that rains in this area are controlled more by local topography and land cover condition then by larger scale of climate system such as monsoon. After 1990 there were some weak sign of seasonal pattern. This could be interpreted as a sign that larger climate system started influence the local rainfall and as the global warming increases, it could be predicted that local rainfall pattern will be controlled more by the larger climate system. The periodogram shows that rainfall in this area has weak annual periodic. Data from Sumberjaya on 1990-1994 and 1999-2006 showed that annual periodic were getting stronger; a sign that larger climate system started dominating the area.

GLOBAL CLIMATE FORCING FACTOR AND RAINFALL VARIABILITY IN WEST JAVA : CASE STUDY IN BANDUNG DISTRICT FAKTOR KENDALI IKLIM GLOBAL DAN KERAGAMAN CURAH HUJAN DI JAWA BARAT, STUDI KASUS DI KABUPATEN BANDUNG R. Boer; M. Faqih
Agromet Vol. 18 No. 2 (2004): December 2004
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)