Judul: Brown planthopper (Nilapavarta lugens) Pest Analysis in Rice Crop Using Satellite Terra MODIS Data at District Indramayu
Abstrak: Brown planthopper (Nilapavarta lugens) is one pest that attack rice crop. Brown planthopper attack can cause 80% crop failure of the total area. Brown planthopper pest must be controlled and monitored periodically in order to reduce losses suffered by farmers. Analysis of brown planthopper pest in a wide area requires method by utilizing remote sensing technology. This research utilizing remote sensing technology by using terra MODIS data. Indramayu district is one of the rice crop production centers that often attacked by brown planthopper pest. This research aims to determine the ability of brown planhopper pest detection using satellite Terra MODIS data at Indramayu district. In this research, brown planhoppers pest attack analysis was used Enhanced Vegetation Index (EVI) and Land Surface Temperature (LST) MODIS data. When attacked by brown planthoppers range value of EVI is 0,097 – 0,488 and range value of LST is 20,30C – 37,50C. Correlation between EVI and LST when attacked by brown planthopper pests forming TVBI (Temperature Vegetation Brown planthopper Index) model. In this model brown planhopper pest collected on 3 area, that is Area I when EVI 0,268 – 0,424 and LST 24,510C – 30,640C, Area II when EVI 0,164 – 0,26 and LST 26 0C – 30,660C, and the last Area III when EVI 0,158 – 0,288 and LST 30,270C – 37,50C. TVBI value calculated by approach TVDI (Temperature Vegetation Dryness Index) method. TVBI is an index that describes the humidity condition of rice crop potentially attacked by brown planthopper. TVBI formula for indramayu are: TVBI = (LST-(27,12-19,38*EVI)) / ((38,25-26,49*EVI)-(27,12-19,38*EVI)) for EVI<0,368 and TVBI = (LST-20)/((38,25-26,49*EVI)-20) for EVI>0,368. Range value of TVBI when attacked by brown planhopper pest is 0,36-1,01. This range value can detect 51,96% of all pest attack data and 71,43% of data when attacked by pest. Depends on TVBI model 69% brown planthopper pest attack when rice crop are dry, mostly brown planhopper pest attacking when generatif phase of rice crop at Indramayu district.
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Judul: Developing Information System for Climate Based Potential Area of Brown Plant Hopper (Nilaparvata lugens) in North Coast of West Java
Abstrak: Pest infestation is still a big limiting factor for crop production in Indonesia. Although a number of efforts have been made to solve this problem, serious damages caused by pest attacks are still reported from some crop production areas. Among those several pest and diseases, Brown Plant Hopper/BPH (Nilaparvata lugens) is the one that caused severe damage in rice farming. It was recorded on 1998 in West Java that there was 84,976 hectares of rice has been damaged due to BPH and decreased the national rice production as much as 1 percent. There are some reasons for the increase of crop pest and disease attack i.e.: (1) rice planting season is not at the same schedule, (2) climate anomaly like La-Nina, where on some occasions rainfall occur during dry season. To reduce the worst impact of pest on crop production and productivity, it is needed to have an anticipated efforts and adaptation to climate change. The anticipation strategy and technology deals with adaptation to climate change and the pest attack are aspects that have to be considered in the strategic planning. To support the development of this strategic planning, information system for potential area attack of Brown Plant Hopper (Nilaparvata lugens) is needed. The objectives of this study are as follows : (1). to study climate parameters that stimulate the BPH attack, (2). to define the relationship between climate parameters and area of BPH attacked, and (3) to build information system of potential area of BPH attack on the paddy field areas. A set of historical climate and area of BPH attack are needed to know the climate parameters are influenced area of BPH attack and to predict future area of BPH attack base on climate prediction. The information system of potential area of BPH attack deals with database, models, and interface that work together over one stand alone application. The potential area of BPH attack can be displayed with spatial distribution. In the implementation phase, this information system needs future climate data prediction as an input to the model. As a result for prediction potential of area of BPH attack of January 2008, there was area that by prediction was attacked, and it was present in the field. In contrast, there was by prediction was attacked but it was absent in the field. Thus, there are other factors such as rice varieties and planting time that have to be considered in the further model development.
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Judul: Konstruksi aritmetika kurva eliptik F(2m) supersingular dan non-supersingular untuk skema kunci publik ElGamal
Abstrak: Algoritme ElGamal adalah salah satu algoritme kunci publik dengan aritmetik modular p yang mempunyai struktur grip siklik Z(p). Tingkat keanaman algoritme ini terletak pada pemecahan masalah logaritme diskret dari Z(p). Akan tetapi, tingkat keamanan tadi tahun ke tahun semakin menurun yang disebabkan kemampuan pemecahan algoritme diskret semakin meningkat. Untuk memenuhi tingkat keamanan yang memadai dibutuhkan p yang cukup besar yang menyebabkan proses enkripsi dan dekripsi menjadi lambat.
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