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IDENTIFIKASI KENYAMANAN TERMAL BANGUNAN (STUDI KASUS: RUANG KULIAH KAMPUS IPB BARANANGSIANG DAN DARMAGA BOGOR)IDENTIFICATION OF BUILDING THERMAL COMFORT (Case Study: Classrooms in IPB Banangsiang and Darmaga Campuses)
Get PDFHousing development, well-planned or not well-planned, has changed urban view and its thermal environment. Many researchers have claimed that the worse quality of urban thermal environment is proportional to physical development of the city. Physical development in urban areas has caused various environmental problems, one of them is the change in quality of thermal environment by which the city becomes hotter than the surrounding areas. The purpose of this research was to identify thermal comfort either in classrooms at Darmaga or Baranangsiang campuses of Bogor Agricultural University. PMV (Predicted Mean Vote), using the boundary Effective Temperature (TE), THI (Temperature Humidity Index), and the last method is respondent test. PMVs (Predicted Mean Votes) in the classrooms at Baranangsiang campuses are thermally neutral to slightly warm, while that in classrooms in Darmaga campus are warmer. Effective Temperature which is resulted in the both of lecture halls are comfortable warm conditions. In addition, for respondents test, the thermal impression in IPB campus of Baranangsiang prefers to choose the slightly warm conditions, but for a lecture hall in campus of IPB Darmaga is more dominated by warm and slightly warm conditions. The questionnaire has been appropiated to the range of PMV index. So, the lecture halls that have been studied in both of campus can be concluded as slightly warm condition, because the thermal impressions felt by the respondents are also in the range of neutral to slightly . The value of THI for both of campus environment is in the range of moderate or neutral.Housing development, well-planned or not well-planned, has changed urban view and its thermal environment. Many researchers have claimed that the worse quality of urban thermal environment is proportional to physical development of the city. Physical development in urban areas has caused various environmental problems, one of them is the change in quality of thermal environment by which the city becomes hotter than the surrounding areas. The purpose of this research was to identify thermal comfort either in classrooms at Darmaga or Baranangsiang campuses of Bogor Agricultural University. PMV (Predicted Mean Vote), using the boundary Effective Temperature (TE), THI (Temperature Humidity Index), and the last method is respondent test. PMVs (Predicted Mean Votes) in the classrooms at Baranangsiang campuses are thermally neutral to slightly warm, while that in classrooms in Darmaga campus are warmer. Effective Temperature which is resulted in the both of lecture halls are comfortable warm conditions. In addition, for respondents test, the thermal impression in IPB campus of Baranangsiang prefers to choose the slightly warm conditions, but for a lecture hall in campus of IPB Darmaga is more dominated by warm and slightly warm conditions. The questionnaire has been appropiated to the range of PMV index. So, the lecture halls that have been studied in both of campus can be concluded as slightly warm condition, because the thermal impressions felt by the respondents are also in the range of neutral to slightly . The value of THI for both of campus environment is in the range of moderate or neutral
CAPACITY OF INDONESIAN FOREST AS CO2 SINK: COMPARING AN INTACT PRIMARY FOREST OF LORE LINDU NATIONAL PARK CENTRAL SULAWESI WITH DEGRADED AND DRAINED PEATLAND FOREST IN CENTRAL KALIMANTAN
Get PDFThis article compares the capacity of undisturbed tropical forest in absorbing COand acts as a net sink with the disturbed (drained) peatland forest acting as a net source. Undisturbed forest of Lore Lindu National Park (LLNP) absorbs substantial amount of CO22 with low ecosystem respiration resulted in a net absorbtion reaching -970 gCm-2 year-1. Data from a disturbed peatland forest in Central Kalimantan shows that although absorption was higher than the LLNP area ecosystem respiration of this drained peatland resulted in a big net emission reaching 447 gCm-2 year-1. Recovery of the hydrological system of the area, reduced emission substantially.This article compares the capacity of undisturbed tropical forest in absorbing COand acts as a net sink with the disturbed (drained) peatland forest acting as a net source. Undisturbed forest of Lore Lindu National Park (LLNP) absorbs substantial amount of CO22 with low ecosystem respiration resulted in a net absorbtion reaching -970 gCm-2 year-1. Data from a disturbed peatland forest in Central Kalimantan shows that although absorption was higher than the LLNP area ecosystem respiration of this drained peatland resulted in a big net emission reaching 447 gCm-2 year-1. Recovery of the hydrological system of the area, reduced emission substantially
ANALISIS HUBUNGAN CURAH HUJAN DENGAN KEJADIAN BANJIR DAN KEKERINGAN PADA WILAYAH DENGAN SISTIM USAHATANI BERBASIS PADI DI PROPINSI JAWA BARAT (ANALYSIS OF RELATIONSHIP BETWEEN RAINFALL AND FLOOD AS WELL AS DROUGHT EVENTS ON AREA WITH RICE ...
Get PDFThere are significantly decreasing of rainfall in wet season and dry season, and changed in onset of early season, that all of them can make crouded in plan of planting date, field actifity especially for food crops africulture. In the other side, climate is one of condition that has been ready and can not change, where probability of climate change will be reality that should be happened every time. Increasing frequency of climate extrem will give high impact in agriculture, especialy in rice-based farming system. This paper describes the climate risk based on statistical approaches. The climate risk is focused on flood and drought event. The analysis used was a chance occurrence based on time series data of rainfall and flood/droughts (affected and puso) based on median value from time series data. The goal of this research are : (1) to know rainfall critical value that can be influence flood and drought event in some of central food crops i West Java, (2) to know probability of flood and drought event in some of central food crops in West Java. The result of this research show that critical value of the rainfall that can be influence flood and drought event is very variety. Average of for flood event for paddy field near coastal based on median approach is 140 mm/month with probability 0,6. For another location, 166 mm/month with probability 0,68. Average of critical value of the rainfall for drought event is 64 mm/month for paddy field near coastal with probability 0,73. For another location, critical rainfall value is 119 mm/month with probability 0,76. For spesific research or detail scale (district or sub distric) we can use rainfall critical value and probablity based on data in that specific location because the data is more representative local riil condition
PENGUKURAN KANDUNGAN AIR TANAH PADA PERTANAMAN JARAK PAGAR (JATROPHA CURCAS L.) SOIL WATER CONTENT MEASUREMENT UNDER JATROPHA CROP (JATROPHA CURCAS L.)
Get PDFManagement strategies development for efficient water utilization of crop production requires sensitive measurements of changes in soil water content on a dynamic basis. Many of the methods currently used for measuring these changes are destructive, slow, or relatively expensive for large-scale investigations. A sensor that low-cost, nondestructive soil moisture sensor for measuring changes in soil volumetric water content on the basis of changes in the dielectric constant of the soil water were available. So, this research was carried out to quantify soil water content on Jatropha under rainfall condition, four levels of nitrogen fertilizer (N) and two population densities (P). The experiments used a systematic Nelder fan design with 9 spokes and 4 rings were conducted at SEAMEO-BIOTROP field experiment in 2007. Based on evaluation this instrument can use to measurement soil water content in various environment
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 ...
Get PDFCrop 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
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
Get PDFOne 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
DAMPAK PENGURANGAN RUANG TERBUKA HIJAU (RTH) PERKOTAAN TERHADAP PENINGKATAN SUHU UDARA DENGAN METODE PENGINDERAAN JAUH (IMPACT REDUCING URBAN GREEN SPACE TOWARDS INCREASING AIR TEMPERATURE USING LANDSAT DATA)
Get PDFThe aim of this study is to determine correlation urban green space and air temperature using landsat data at JABOTABEK. Using Landsat data can cover deficit data from conventional climate station also can to identify magnitude urban green space. Air temperature series are derived from band 6 images Landsat data, including the NDVI from band 3 and 4 which is used as the bases for generating urban green space of the study area. The correlation urban green space and air temperature are non-linier correlation to entire all locations Jakarta, Bogor city and regency, also Tangerang and Bekasi. Reduction or increasing urban green space causes enhanced or depreciation air temperature with differ magnitude, where every decreased 50% urban green space area causes increase air temperature up 0.4 to 1.8oC, while the increase 50 % of urban green space area only decrease air temperature as big as up 0.2 to 0.5oC. This result that important meaning to defend urban green space reduction, also using Landsat data can equip climate data deficit from conventional climate station
EFEK PENGEMBANGAN PERKOTAAN TERHADAP KENAIKAN SUHU UDARA DI WILAYAH DKI JAKARTA URBAN DEVELOPMENT EFFECT TO AIR TEMPERATURE IN JAKARTA AREA
Get PDFThe 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
EFEKTIVITAS PAKET PENGENDALIAN RESIKO PENYIMPANGAN IKLIM DI JAWA TENGAH(THE EFFECTIVENESS OF THE CLIMATE CHANGE RISK MANAGEMENT SCHEME IN CENTRAL JAVA)
Get PDFThis paper is summary report of study on implementation of local government designed strategies to anticipate and manage the climate change risks in Central Java. The basis of information obtained from interviews to farmers. In general, planting patterns follow schedule of water availability; therefore, farmers are more interested in talking about the lack of water compared with the excess water. According to farmers\u27 language, climate change is the rainy season retreat. In this context, almost all respondents stated that the climate changes disrupt their farming activities. These disorders include reduction of production, planting schedule delays, increased costs of irrigation, seeds, pesticides and land management. Local agricultural agencies have been disseminating strategies to anticipate and manage the risks of climate change. Those strategies are planting reschedules, changing varieties or commodities, and improving the water management. Local governments also facilitate the implementation of those strategies, namely distribution of water pumps, and seeds according to climate prediction, and repair or construction of irrigation channels and reservoirs. Most respondents (59%) had never directly followed those socialization activities, and due to limited of the distributed facilities, only 29.87% of respondents enjoyed such facilities. However, the recipient stated that the government facilities effectively assist them in controlling the impact of climate change, and most farmers had committed the management of climate changes impacts in a manner consistent with the recommended strategy. These results show that both government assistance and collective action by farmers had the same important role in anticipating and controlling the impact of climate changes. Therefore, the government should socialize recomended strategies in a more intensive, and improve, and expand the reach of distribution facilities to implement the strategy. These efforts would stimulate farmers self-supporting as a whole, so that the programs in anticipating and controlling the impact of climate changes would be more effective
CLIMATE PROJECTION OVER INDONESIA BASED ON THE TOTAL FOSSIL FUEL CO2 EMISSION PREDICTION USING THE BOX-JENKINS ARIMA MODEL (PROYEKSI IKLIM WILAYAH INDONESIA BERDASARKAN PRAKIRAAN EMISI CO2 DARI PENGGUNAAN BAHAN BAKAR FOSIL MENGGUNAKAN MODEL ...
Get PDFThis paper mainly discusses about the development of estimation models raising the rate of gas emissions of carbon dioxide (CO2) as the main parameters of global warming in Indonesia. This is important to remember not many comprehensive scientific study which shows that the impact of global warming has actually experienced by Indonesia. Using Box-Jenkins method and the stage of identification, assessment, and testing, then the best prediction model obtained for the above data, the model of ARIMA (8,1,3). This means that the predicted value for the next year depending on the data before and 8 years 3 years earlier error. In the validation data with predicted results, the MAD (Mean Absolute Deviation) is relatively high. However, the pattern of results followed the pattern predicted almost the original data with a correlation value of 99%. Based on this result, we can estimate the climate projection over Indonesia, especially during 2012-2014