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    Pengaruh Variasi Luminositas Matahari Pada SST Ekuator Global Dan Temperatur Udara Permukaan di Indonesia

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    Dengan menganalisis data rata-rata temperatur permukaan laut (SST) ekuator global dan temperatur rata-rata udara permukaan kota Ambon dan Padang dan membandingkannya dengan data luminositas matahari dari tahun 1978-1992, diperoleh adanya pengaruh luminositas matahari yang jelas pada SST ekuator global dan temperatur udara permukaan di Indonesia. Pengaruh variasi luminositas matahari jangka panjang pada SST tidak begitu kuat dengan koefisien korelasi sebesar 0,58, tetapi pada temperatur udara permukaan kota Ambon dan Padang pengaruhnya sangat kuat dengan koefisien korelasi masing-masing adalah 0,94 dan 0,86. Disamping pengaruh tampak jelas pada SST ekuator globall dan temperatur udara permukaan di Indonesia.Hlm. 26-4

    Vertical Structure of Raindrop Size Distribution at Kototabang as Retrieved by Micro Rain Radar

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    Vertical structure of raindrops size distribution (RDSD) as retrieved by Micro Rain Radar (MRR) during January-December 2012 at Kototabang, west Sumatera had been investigated. The performance of MRR was examined by comparing the rainfall rate (R) and RDSD obtained by the MRR with that obtained by the Optical Rain Gauge (ORG) and Parsivel. Thus the MRR at Kototabang collected precipitation data in good accuracy. The RDSD was parameterized by modified gamma distribution and its parameter was calculated by the moment method. It was found that the growth of RDSD from the altitude of 4.65 km to 0.15 km was significant that may be due to the collision-induced coalesence process. This can be inferred from a significant increase of large-sized drops with decreasing height. The increase of such drops influenced the integral rainfall parameters such as radar reflectivity (Z) and R that leads to an increase of A coefficient of Z=ARbequation with decreasing height. Thus, the usage of constant Z-R equation in rain coulumn for radar meteorology in tropical regions particulary in West Sumatera, are not acceptable.Hlm.27-3

    Detecting Solar Wind Activity Using Magnetometer At Kototabang Observatory

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    During the year 2014 specialize on February 2014, magnetometer in Kototabang Observatory observed several geomagnetic storms which indicate the solar wind activity. From the magnetometer data we found that there are some large-scale storm wasin 19th February 2014, 20th February 2014, 21st February 2014, 22nd February 2014, 23rd February 2014, 27th February 2014 and 28th February 2014. This solar wind activities are triggered by the solar activity, such as flares, coronal mass ejection, and coronal holes. Such solar activities will affect the characteristics of the daily variation of magnetic field component, since the CMEs and flares will increase the intensity and the speed of solar wind and the radiation of electromagnetic waves. Data processingis done by converting raw data into ASCII format and then corrects noise by IAGA format data to generate data variation daily then compared with the data Dst index and obtaina second index data K (local geomagnet disturbance) to detect when a large magnetic storms during February 2014.By using Field Research with qualitative approach. From the analysis we found eight times middle storm was in February 2014, and major storms over minus 100nT in the same month.Also data visible local geomagnetic reaction is proportional to the current value of the index Dst impairment. High intensity occurred in February 2014 mainly on 19 with intensity values above minus 100nTHlm.155-17

    Pengembangan Sistem Pemetaan Ionosfer Dan Penentuan Indeks W Dari Data GPS (Development Of Ionosphere Mapping System And Determination Of W Index From GPS Data)

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    Tingkat gangguan ionosfer dapat diukur dari penyimpangan TEC ionosfer dari kondisi normal pada jam tertentu. Gangguan ionosfer dapat menurunkan kinerja aplikasi GNSS dan sistem komunikasi HF. Untuk pengguna GNSS dan komunikasi HF, sistem pemetaan ionosfer dan penentuan indek W dari data GPS telah dikembangkan. sistem tersebut memproses data GPS (file RINEX), data orbit satelit GPS (file SP3), dan bias penerima dan diferensial satelit kode (file DCB) menjadi peta ionosfer dan indeks gangguan ionosfer W. Data GPS format RINEX digunakan untuk estimasi TEC, dan bersama-sama dengan data SP3 dan data DCB, TEC ionosfer dapat dikalibrasi dan titik pengamatan ionosfer yang dilalui sinyal GPS dan vertikal TEC (VTEC) dapat ditentukan. Rata-rata bergerak 10 harian dari VTEC per jam dapat diperoleh sebagai kondisi normal nilai TEC. Tingkat gangguan ionosfer dikelompokkan menjadi empat kategori menurut indeks ionosfer W yaitu tenang, aktif, badai moderat dan badai yang intensif. Peta ionosfer dan informasi indek Wdalam bentuk file gambar disimpan di server SWIFtS secara otomatis melalui sinkronisasi. Makalah ini menjelaskan sistem pemetaan ionosfer dan indeks W ionosfer yang telah diterapkan untuk data XMIS GPS.Hlm.83-9

    Teknik Mapping Data Menggunakan Pentaho Kettle Pada Aplikasi Sistem Basis Data Antariksa (Data Mapping Technique Using Pentaho Kettle On The Space System Database Application)

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    Kelompok penelitian basis data Pusat Antariksa pada tahun 2014-2015 mengembangkan aplikasi Sistem Basis Data Antariksa (SIMBADA). Pengembangan sistem basis data antariksa memiliki tujuan untuk mempermudah pengguna mencari data hasil pengamatan yang tersimpan pada server. Antar muka aplikasi disajikan dalam bentuk web based. Fitur pencarian data merupakan jantung dari aplikasi. Pengguna dapat mencari data berdasarkan rentang waktu, lokasi pengamatan, atau jenis data pengamatan. Pencarian data menggunakan system management file pada Sistem Operasi Debian. Pada saat dilakukan pengujian sistem terkadang data tidak ditemukan berbanding terbalik dengan ketersediaan data pada server. Setelah dilakukan kajian ulang ternyata penamaan folder, dan strukturnya tidak memiliki keseragaman dan inkonsistensi. Hal tersebut berakibat pada hasil pencarian data, karena pada Sistem Operasi file yang dicari harus identik termasuk besar-kecil penamaan file (Case Sensitive). Untuk memperbaiki hal tersebut maka proses bisnis pencarian data sepenuhnya akan diubah menggunakan Database Management System (DMBS) MYSQL. Informasi data (metadata) dimasukan ke dalam DBMS melalui proses pemetaan data. Pemetaan data dimulai dari pengumpulan data, memilah informasi data, transformasi, dan memasukan setiap informasi ke dalam DBMS. Informasi yang tersimpan dalam DBMS dapat digunakan sebagai parameter pencarian aplikasi sistem basis data antariksa. Alat bantu untuk memasukan metadata ke DBMS menggunakan Pentaho KettleHlm.253-26

    Geometric Accuracy Assessment of Very High-Resolution Optical Data Orthorectified using TerraSAR-X DSM to Support Disaster Management in Indonesia

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    Advanced remote sensing satellite data with detail spatial resolution can be an alternative to aerial photography and outweigh in providing rapid and vast spatial, remote area, and consist of multispectral bands to produce continues information. The various types of very high spatial resolution satellite, benefit in producing information for large-scale mappings, such as updating an urban map and supporting disaster management for mitigation, preparedness, emergency response, and recovery effectively and efficiently. Large-scale mapping information for disaster management, particularly for quick response is essential to map the impacted sites, measure the number of houses and infrastructure damaged and determine the evacuation area. However, in producing large-scale mapping, the information should refer to the geospatial specification standard, such as accurate geometric, detail thematic information and completeness. This study aims to identify the use of Pleiades imagery for supporting large-scale mapping, including for disaster management by assessing the geometry accuracy from a standard product acquired from the ground station and precise orthorectification using different types of DSM, including TerraSAR-X and improvement using ground control points. The results show that the improved accuracy to meet geometric accuracy standard for scale 1:5000 can be achieved using a primary product data which process using an insertion of GCPs and selecting the better DSM, while for the standard ortho product can be achieved using shifting the coordinate position of the image. Assessment of the thematic extraction visually shows that the imagery meets the information for large-scale mapping, but detail attribution requires information from field data.p. 2450-245

    Mengenal Model Atmosfer

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    hlm.1-
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