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INDONESIA
Jurnal Sains Dirgantara
Published by Lembaga Penerbangan dan Antariksa Nasional
ISSN : -     EISSN : -     DOI : -
Core Subject : Education,
Education
Arjuna Subject : -
Articles 6 Documents
 1 
Search results for , issue "Vol 8, No 1 (2010)" : 6 Documents clear
ANALISIS STRUKTUR VERTIKAL MJO TERKAIT DENGAN AKTIVITAS SUPER CLOUD CLUSTERS (SCCs) DI KAWASAN BARAT INDONESIA Eddy Hermawan
Jurnal Sains Dirgantara Vol 8, No 1 (2010)
Publisher : Lembaga Penerbangan dan Antariksa Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1516.761 KB)

Abstract

One important aspect when its Coupling Processes Equatorial Atmosphere (CPEA) Campaign 2004 in Kototabang which lasted for approximately one month of observation (April 10 to May 10, 2004) was an analysis of the vertical structure of the phenomenon of the Madden-Julian Oscillation (MJO) related to the activity of the Super Cloud Clusters (SCCs) as one of the main parameters in assessing the behavior of rainfall occurred in the western region of Indonesia. The data used are data of Equatorial Atmosphere Radar (EAR), Boundary Layer Radar (BLR), Mini Automatic Weather Station (MAWS), and Optical Rain Gauge (ORG) at Kototabang, LAPAN Ground Station. While the supporting data used are long-wave radiation anomaly data (Outgoing Longwave Radiation, OLR) and surface rainfall data. The analysis using spectral techniques, particularly the Fast Fourier Transform (FFT) on data anomalies daily average five (pentad) OLR oscillation 2001-2005 period shows that the dominant than the data is approximately 30 daily. These oscillations typically occurred in the lower troposphere layer with the direction of propagation toward the east. Besides that, the existence of convergence and divergence processes in the layer 3 and 10 km above mean sea level (msl) is also found, particularly on the date April 23, 2004 of EAR data analysis. Finally, we try to link these events by analyzing the relationship between OLR with the rainfall in Kototabang and the surrounding region, particularly ORG measurement results with the correlation coefficient of about 0.71. Keywords : CPEA Campaign, MJO, OLR, EAR, and ORG
ANALISIS PERILAKU ANGIN DI LAPISAN 850 hPa HASIL OBSERVASI DATA WPR DIKAITKAN DENGAN PERILAKU DATA INDEKS MONSUN GLOBAL DI INDONESIA Noviyanti Erfien Kaparang; Eddy Hermawan
Jurnal Sains Dirgantara Vol 8, No 1 (2010)
Publisher : Lembaga Penerbangan dan Antariksa Nasional

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Abstract

This study analyzed the behavior of winds in the lower layers of the troposphere, or rather at "approximately" 850 hPa layer, which is equivalent to an altitude of "about" 1.5 km above the sea level (asl) and observed the data at Wind Profiling Radar (WPR) in Pontianak, Biak, Manado, Serpong and Kototabang, particularly in the wet months (BB) and dry months (BK) for a few months. The results show that the WPR data used to identify the Monsoon on the Indonesian Maritime Continent region (BMI) is quite refresentative. The results further show that the cities which are located relatively close to the equatorial line, such as Pontianak and Biak are relatively strongly influenced by wind zonal (East-West). While the city which is relatively far from the equatorial line (like Manado), is relatively strongly affected by the meridional wind (North-South). There is further analysis of why this is happening. However, this is allegedly due to the influence of Coriolis force (Coriolis Force), particularly at the lower layers of the troposphere in the region that is located relatively far from the equatorial than in the precise area at the equatorial considering that the Coriolis force itself is close to zero (very small) for the equatorial region. Another interesting point is that the zonal winds are stronger influence on the data AUSMI (Australian Monsoon Index), while the meridional winds are the stronger influence on the data WNPMI (Western North Pacific Monsoon Index) with correlation values respectively around 0.76 and 0.45. Keywords: Monsoon Signal, WPR, and Global Monsoon Index
RANCANG BANGUN ALAT PENGUKUR DAN SISTEM JARINGAN DATA CO2 DI INDONESIA BERBASIS WEB Asif Awaludin; Ginaldi Ari Nugroho; Chunaeni Latief; Afif Budiyono
Jurnal Sains Dirgantara Vol 8, No 1 (2010)
Publisher : Lembaga Penerbangan dan Antariksa Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1324.813 KB) | DOI: 10.30536/j.jsd.2010.v8.a1534

Abstract

A web-based CO2 measurement device and a data network system in Indonesia which consist of the CO2 measurement device, the local data processor system, and the central data processor system has been built. The CO2 measurement device consist of the GMM220 CO2 sensor module from Vaisala and the data logger system. The data logger output consists of location, time, date, CO2 concentration, and input voltage, which packed all up in one data form with RGPGHG as the data header. The data logger system store the data into SD Card memory and ends it to the local data processor system. The CO2 Monitor Software in the local data processor system processes the data and display the graphical data which shows the maximum, minimum and average values of the data, and also sends the data to the central data processor system. The central data processor system displays data from several local data processor systems in the form of real time web-based graphical data and text, so the internet users can access and download its data. The development result device has been applicated in Kototabang, and the CO2 measurement device has been connected as well to the central data processor system in Bandung via the internet network to perform the web-based CO2 data network system in Indonesia. According to the data stored by the central data processor system for the periode of 1 - 26 March 2010, it shows that the CO2 concentration in Kototabang have an average of 403,5 ppm, with the maximum of 476,9 ppm and the minimum of 364,7 ppm. While the CO2 concentration in Bandung have an average of 397,2 ppm, with the maximum of 502,5 ppm and the minimum of 325,3 ppm. Key words: Data logger, CO2 sensor, Web-based interface
EVOLUSI ORBIT CENTAURS DAN TRANS-NEPTUNUS KE BAGIAN DALAM TATA SURYA - B. Dermawan; - Z. Hudaya; - T. Hidayat; - M. Putra; - A. Fermita; - D. T. Wahyuningtyas; - D. Mandey; - D. Utomo
Jurnal Sains Dirgantara Vol 8, No 1 (2010)
Publisher : Lembaga Penerbangan dan Antariksa Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1108.08 KB) | DOI: 10.30536/j.jsd.2010.v8.a1535

Abstract

Dynamical study of Trans-Neptunian Objects (TNOs) showed that the orbital evolution of TNOs, especially for Scattered-Disk class, is closely related to Centaurs. As of 1 June 2009, there were 673 known Centaurs and TNOs whose orbits are well-determined within an uncertainty of  6.4 /decade. It is interesting to investigate a fraction of evolving Centaurs and TNOs to inner solar system regions along 1 Myr evolution under perturbations of all planets. In order to have a better knowledge about spatial distributions of Centaurs and TNOs, we generated additional four sets artificial data based on the known distribution. We find that most Centaurs show chaotic orbital evolutions and many of them are ejected out to the outer solar system. The ejected Centaurs in the first-half evolution are more numerous than that of the second-half one. This study also indicates that number of Centaurs originated from 3:2 Neptune resonance objects is more abundant at about 5  105 yr, and only ~1% Centaurs and TNOs evolve to be Mars-crossers. Keywords: Asteroids, Orbit dynamic, Centaurs, Trans-Neptunus
KARAKTERISTIK CO2 PERMUKAAN DI BANDUNG TAHUN 2008-2009 (PENGUKURAN TETAP DI WILAYAH PASTEUR) Chunaeni Latief,; Asif Awaludin; Afif Budiyono
Jurnal Sains Dirgantara Vol 8, No 1 (2010)
Publisher : Lembaga Penerbangan dan Antariksa Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1413.926 KB) | DOI: 10.30536/j.jsd.2010.v8.a1533

Abstract

A fixed instrument for CO2 measurement (LPN SATKLIM-1B) has been built and installed at LAPAN Bandung, started by using a direct recorder system on the computer then it is completed with data connection to the CO2 monitoring web server. The CO2 sensor used by NDIR technology has been corrected by the temperature and pressure compensation. The sensor was installed on 15 m above ground level, acquired and also recorded its data by monitoring the software developed by using the Microsoft Visual Basic 6.0. From the recording result of measurement data in Bandung from 2008 until 2009, with one minute interval data, it was obtained that the data characteristic compared to the measurement data from Global Atmospheric Watch (GAW) station in Kototabang (using spectroscopy technology) and Mauna Loa, all of them have the same pattern. From one year analysis (2008 – 2009) it was also obtained that by the increase of motor vehicle in Bndung for about 226,500 vehicle a year, 76% land building, and just 8.7% green open spaces, the CO2 has increased 1.5 ppm and the temperature from AWS data 2008-2009 (a year) data has increased 4.3ºC. In another side, the CO2 multiplication effect has occurred at 06.30-08.00 AM according to surface and vertical profile measuremens, due to stable atmosphere and calm wind. Key words: Surface fixed system, CO2 concentration, Convection
PRAKIRAAN CUACA DENGAN METODE AUTOREGRESSIVE INTEGRATED MOVING AVERAGENEURAL NETWORK, DAN ADAPTIVE SPLINES THRESHOLD AUTOREGRESSION DI STASIUN JUANDA SURABAYA - Sutikno; Rokhana Dwi Bekti; Putri Susanti; - Istriana
Jurnal Sains Dirgantara Vol 8, No 1 (2010)
Publisher : Lembaga Penerbangan dan Antariksa Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (674.641 KB) | DOI: 10.30536/j.jsd.2010.v8.a1532

Abstract

The need of weather forecasting is primary to support activities in various sectors, so the efforts of development for forecast methods to improve the precision and the accuracy of the weather information are very important. Various weather forecasting models by engineering or stochastic model approach have been developed, although each method has both weaknesses and strengths, the efforts for developing techniques or methods to get the best model have to be done. What is elaborated in this article represent the result of testing in three statistical methods to obtain the best weather forecasting models. Three methods as mentioned before are: the Autoregressive Integrated Moving Average (ARIMA), Neural Network (NN), and Adaptive Splines Threshold Autoregression (ASTAR) to forecast the temperature, humidity, and daily rainfall. The performance of these three methods are evaluated by correlation values and Root Mean Square Error (RMSE). The good performance characterized by a high correlation between actual and forecast values, and also has a small RMSE. The results of this research indicate that ASTAR method produces better signed by a higher correlation, lower RMSE values and the constant forecasting from the first day until the thirtieth. The correlation in ASTAR method for Tmax and RHmin respectively are 0,70 and 0,75, for ARIMA method are 0,31 and 0,47, for NN method are 0,02 and -0,06. The three methods have poor performance for Tmin, RHmax and RRR. Keywords: Weather forecast, ARIMA, ASTAR, Neural Network

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