scholarly journals An analysis method for time ordered data processing of dark matter experiments

2006 ◽  
Vol 453 (2) ◽  
pp. 761-768 ◽  
Author(s):  
E. Moulin ◽  
J. F. Macías-Pérez ◽  
F. Mayet ◽  
C. Winkelmann ◽  
Yu. M. Bunkov ◽  
...  
Keyword(s):  
Dark Matter ◽  
Data Processing ◽  
Analysis Method ◽  
Ordered Data

Implementasi Sistem Informasi Monitoring Pengolahan Data Inventory Gudang Pada PT.Talaga Mulya Indah

2020 ◽  
Vol 6 (2) ◽  
pp. 187-197
Author(s):  
Nurlaila Suci Rahayu Rais ◽  
Dedeh Apriyani ◽  
Gito Gardjito
Keyword(s):  
Data Processing ◽  
Integrated Control ◽  
Unified Modeling Language ◽  
Review Literature ◽  
Analysis Method ◽  
Inventory Data ◽  
Literature Study ◽  
Unified Modeling ◽  
The Difference ◽  
The Right

Monitoring of warehouse inventory data processing is an important thing for companies. PT Talaga mulya indah is still manual using paper media, causing problems that have an effect on existing information, namely: problems with data processing of incoming and outgoing goods. And the difference between data on the amount of stock of goods available with physical data, often occurs inputting data more than once for the same item, searching for available data, and making reports so that it impedes companies in monitoring inventory of existing stock of goods. Which aims to create a system that can provide updated information to facilitate the warehouse admin in making inventory reports, and reduce errors in input by means of integrated control. In this study, the authors used the data collection method used in this analysis using the method of observation, interviews, and literature review (literature study). For analysis using the PIECES analysis method. Furthermore, the system design used is UML (Unified Modeling Language). The results of this study are expected to produce the right data in the process of monitoring inventory data processing, also can provide the right information and make it easier to control the overall availability of goods.

scholarly journals Understanding the large inferred Einstein radii of observed low-mass galaxy clusters

2020 ◽  
Vol 494 (4) ◽  
pp. 4706-4712 ◽  
Author(s):  
Andrew Robertson ◽  
Richard Massey ◽  
Vincent Eke
Keyword(s):  
Dark Matter ◽  
Galaxy Clusters ◽  
Gravitational Lensing ◽  
Cold Dark Matter ◽  
Baryonic Matter ◽  
Analysis Method ◽  
Critical Curves ◽  
Hydrodynamical Simulation ◽  
Low Mass ◽  
Main Effects

ABSTRACT We assess a claim that observed galaxy clusters with mass ${\sim}10^{14} \mathrm{\, M_\odot }$ are more centrally concentrated than predicted in lambda cold dark matter (ΛCDM). We generate mock strong gravitational lensing observations, taking the lenses from a cosmological hydrodynamical simulation, and analyse them in the same way as the real Universe. The observed and simulated lensing arcs are consistent with one another, with three main effects responsible for the previously claimed inconsistency. First, galaxy clusters containing baryonic matter have higher central densities than their counterparts simulated with only dark matter. Secondly, a sample of clusters selected because of the presence of pronounced gravitational lensing arcs preferentially finds centrally concentrated clusters with large Einstein radii. Thirdly, lensed arcs are usually straighter than critical curves, and the chosen image analysis method (fitting circles through the arcs) overestimates the Einstein radii. After accounting for these three effects, ΛCDM predicts that galaxy clusters should produce giant lensing arcs that match those in the observed Universe.

scholarly journals Study of Bathymetry and Seabed Morphology Changes Around Anak Krakatau Waters of 2018 Post-Eruption

2021 ◽  
Vol 925 (1) ◽  
pp. 012061
Author(s):  
R A K Hanifa ◽  
L I Bernawis
Keyword(s):  
Data Processing ◽  
Surface Analysis ◽  
Analysis Method ◽  
Average Value ◽  
Surface Analysis Method ◽  
Krakatau Volcano ◽  
Morphology Changes

Abstract Anak Krakatau is an active volcanic mountain located in the Sunda Strait, Indonesia. On December 22, 2018, this mountain erupted and the flank collapses off into the water. This changes the bathymetry and morphology of the seabed around the waters of Anak Krakatau volcano. This study uses bathymetry data surrounding the Anak Krakatau waters from the Indonesian Navy Hydrographic and Oceanographic Center (PUSHIDROSAL) in 2016 and 2019. The data were obtained by survey using Echosounder Multibeam System MBES EM2040 and EM302. By means of surface analysis method (hillshade), the data were process to observe the bathymetry and seabed morphology changes around the Anak Krakatau volcano waters by the eruption. The results of bathymetry data processing show a depth change of about 25 m, with the lowest value in 2016 ranging from -250,328 m and in 2019 ranging from -226.12 m. The average value of the slope of the seabed in 2016 was 5.31° and 4.98° in 2019.

scholarly journals ANALISIS KOMPOSISI GAS BUANG AKIBAT PERUBAHAN MAIN JET NOZZLE PADA SISTEM KARBURATOR MESIN

POROS ◽  
2017 ◽  
Vol 13 (2) ◽  
pp. 62
Author(s):  
Bernadi Ksatria Putra ◽  
Abrar Riza ◽  
Asrul Aziz
Keyword(s):  
Data Processing ◽  
Experimental Method ◽  
Engine Performance ◽  
Gas Analysis ◽  
Enthalpy Of Combustion ◽  
Exhaust Gas ◽  
Analysis Method ◽  
Exhaust Gases ◽  
Combustion Enthalpy ◽  
Jet Nozzle

Abstract: Fuel entering through the main jet nozzle, affects engine performance and the composition of the exhaust gas is produced. Research the composition of the exhaust gases in machines otto one cylinder done with experimental method. The purpose of this study was to obtain the characteristics of the engine with exhaust gas analysis method. This research done with varying size main jet nozzle and varying the engine rotation every 400 rpm. Data processing the results of testing includes a comparison of the composition of the exhaust gases is HC, CO2, CO, O2, AFR, and the temperature of the exhaust gases. Then calculate the enthalpy of combustion for each main jet nozzle. The composition of the exhaust gases are best obtained from the main jet nozzle GX 160 which has the highest CO2 value of 20%, with the lowest CO value of 1.26% and the largest combustion enthalpy value with the value of 264.769 kJ. From the analysis can be known that the burning of the main jet nozzle GX 160 approaching the stoichiometric combustion. 

scholarly journals FAKTOR-FAKTOR YANG MEMPENGARUHI KEPUTUSAN PEMBELIAN PADA UKM SENTRA BANDENG KELURAHAN TAWANG MAS SEMARANG

2019 ◽  
Vol 2 (2) ◽  
pp. 45-57
Author(s):  
Ratih Hesty Utami ◽  
Rr. Hawik Ervina Indiworo
Keyword(s):  
Regression Analysis ◽  
Data Processing ◽  
Multiple Regression Analysis ◽  
Marketing Mix ◽  
Target Market ◽  
Analysis Method ◽  
Purchasing Decisions ◽  
Business Functions ◽  
A Company

The marketing ability of a company can affect its financial capabilities. One of the company's benefits can be generated from the demand for products and / or services, and other business functions will not run if there is no demand. a company must obtain revenue if it wants profit. One of the elements to get income is from marketing products and / or services. The marketing mix is a collection of controlled tactical marketing tools that companies combine to produce the responses they want in the target market. The marketing mix consists of all the things a company can do to influence the demand for its products. These possibilities can be grouped into four groups. Among them are Products (Price), Price (Price), Place (Place), and Promotion (Promotion). In this study 100 respondents were used. Determination of sample size using simple random techniques. Data were analyzed using the Multiple Regression Analysis method. Data processing using the SPSS program. The purpose of this study was to determine the factors that influence purchasing decisions at UKM Sentra Bandeng Tawang Mas Semarang. SME entrepreneurs must maintain the implementation of important factors that determine the performance of their businesses, while still making improvements to the factors that are still lacking in implementation, in order to get better performance.

scholarly journals Pola Spasial Transformasi Wilayah di Koridor Yogyakarta-Surakarta

2010 ◽  
Vol 24 (1) ◽  
pp. 28 ◽  
Author(s):  
Sri Rum Giyarsih
Keyword(s):  
Data Processing ◽  
Qualitative Analysis ◽  
Secondary Data ◽  
Analysis Method ◽  
Result Show ◽  
Regional Transformation ◽  
Physical Accessibility

This research is conducted in Yogyakarta-Surakarta Corridor which become an intercity corridor that has been experiencing regional transformation. The aim of this research is to analyze the pattern of regional transformation using secondary data. The research covers all of villages along Yogyakarta-Surakarta Corridor (206 villages). The data processing employs SPSS program to apply quantitative and qualitative analysis method. The result show that the higher the physical accessibility, the higher is the degree of regional transformation. This research also reveals that high regional transformation patterns which are drawn by five variables, scattered in the villages which have high physical accessibility degrees and that the villages which have low physical accessibility degrees confirm the reverse level.

scholarly journals To β or not to β: can higher order Jeans analysis break the mass–anisotropy degeneracy in simulated dwarfs?

2020 ◽  
Vol 498 (1) ◽  
pp. 144-163
Author(s):  
A Genina ◽  
J I Read ◽  
C S Frenk ◽  
S Cole ◽  
A Benítez-Llambay ◽  
...  
Keyword(s):  
Dark Matter ◽  
Cold Dark Matter ◽  
Dwarf Galaxies ◽  
Local Environment ◽  
Higher Order ◽  
Analysis Method ◽  
Density Profiles ◽  
Velocity Anisotropy ◽  
Density Distributions ◽  
Mass Profiles

ABSTRACT We test a non-parametric higher order Jeans analysis method, GravSphere, on 32 simulated dwarf galaxies comparable to classical Local Group dwarfs like Fornax. The galaxies are selected from A Project Of Simulating The Local Environment (APOSTLE) suite of cosmological hydrodynamics simulations with cold dark matter (CDM) and self-interacting dark matter (SIDM) models, allowing us to investigate cusps and cores in density distributions. We find that, for CDM dwarfs, the recovered enclosed mass profiles have a bias of no more than 10 per cent, with a 50 per cent scatter in the inner regions and a 20 per cent scatter near the half-light radius, consistent with standard mass estimators. The density profiles are also recovered with a bias of no more than 10 per cent and a scatter of 30 per cent in the inner regions. For SIDM dwarfs, the mass and density profiles are recovered within our 95 per cent confidence intervals but are biased towards cuspy dark matter distributions. This is mainly due to a lack of sufficient constraints from the data. We explore the sources of scatter in the accuracy of the recovered profiles and suggest a χ2 statistic to separate successful models from biased ones. Finally, we show that the uncertainties on the mass profiles obtained with GravSphere are smaller than those for comparable Jeans methods and that they can be further improved if stronger priors, motivated by cosmological simulations, are placed on the velocity anisotropy. We conclude that GravSphere is a promising Jeans-based approach for modelling dark matter distributions in dwarf galaxies.

ANALISIS PENGARUH BIAYA PEMUPUKAN TANAMAN DAN BIAYA PANEN TERHADAP PENDAPATAN PETANI

2021 ◽  
Vol 3 (1) ◽  
pp. 53-63
Author(s):  
Saprida ◽  
Wilson Saruksuk
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Data Processing ◽  
Multiple Linear Regression ◽  
Oil Palm ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Analysis Method ◽  
The Status

Tujuan penelitian ini adalah Untuk mengetahui pengaruh biaya pemupukan tanaman terhadap pendapatan petani, dan Untuk mengetahui pengaruh biaya panen terhadap pendapatan petani. Pengambilan sampel dilakukan kepada petani kelapa sawit dengan sampel sebanyak 100 responden. Metode analisis yang dilakukan adalah dengan metode analisis regresi linear berganda, pengelolahan data dibantu oleh sofware (SPSS) Versi 25. Penelitian ini dilakukan pada bulan Agustus-September 2020.Hasil penelitian ini disimpulkan bahwa 1). Usia yang paling banyak memiliki kebun kepala sawit yaitu usia 41-50 tahun, 2). Jenis kelamin yang paling dominan yaitu laki-laki sebesar 73%, 3). Petani juga mulai bertani >6 tahun sebesar 62%, 4). Dan luas lahan yang di miliki petani kelapa sawit rakyat yaitu sebesar 4 - 6 ha sebanyak 63%, 5). Status lahan yang dikelola petani kelapa sawit adalah lahan sewa sebayak 51%.   The purpose of this study was to determine the effect of crop fertilization costs on farmers 'income, and to determine the effect of harvest costs on farmers' income. Sampling was carried out on oil palm farmers with a sample of 100 respondents. The method of analysis used is multiple linear regression analysis method, data processing is assisted by software (SPSS) Version 25. This research was conducted in August-September 2020. The results of this study concluded that 1). The age that has the most oil palm plantations is the age of 41-50 years, 2). The most dominant gender is male at 73%, 3). Farmers also started farming> 6 years by 62%, 4). And the area of ​​land owned by smallholder oil palm farmers is 4 - 6 ha as much as 63%, 5). The status of land managed by oil palm farmers is 51% leased land.

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