scholarly journals STUDI OPTIMALISASI PENGELOLAAN ZAKAT PROFESI DIBADANG AMIL ZAKAT KOTA KENDARI

2019 ◽  
Vol 4 (1) ◽  
Author(s):  
Indra Nola ◽  
Hasan Aedy ◽  
Gamsir Bachmid
Keyword(s):  
Data Processing ◽  
Analytical Method ◽  
Qualitative Data ◽  
Processing Technique ◽  
Study Data ◽  
The State ◽  
Work Commitment ◽  
Work Unit ◽  
Qualitative Descriptive ◽  
Data Processing Technique

This study aims (1) Knowing and analyzing the optimality of professional zakat management is examined from the aspect of potential muzakki, professionalism of institutions, commitment of employees of the State Civil Apparatus (ASN) and aspects of distribution of zakat to mustahik; (2) Knowing and analyzing the factors that determine the level of optimization of management of professional zakat in the Amil Zakat Agency in Kendari City; (3) Knowing and analyzing the efforts made by BAZNAS to improve the optimization of management of professional zakat in the Amil Zakat Agency in Kendari City.  This type of research uses qualitative descriptive. Meanwhile the analytical method used is descriptive qualitative data processing technique 9words) which is done in order to describe the result of the study. Data and information through observation techniques, documentation studies and interviews with implementers, muzakki and mustahik. The results of the study are (1) optimization of zakat management in Kendari National Baznas, reviewed from the aspect of potential, professionalism of institutions, work commitment of the State Civil Apparatus (ASN), and aspects of distribution / distribution are still not optimal. (2) The factors that influence the optimization of zakat management in Kendari City are the awareness of muzakki to pay zakat, the performance of the National Amil Zakar Agency that is trustworthy, professional and transparent, which is targeted to mustahiq and effective socialization to the community. (3) Baznas' efforts in optimizing the management of professional zakat are involving all State Civil Apparatus (ASN) to pay professional zakat in each work unit. 

A NEW DATA‐PROCESSING TECHNIQUE FOR THE ELIMINATION OF GHOST ARRIVALS ON REFLECTION SEISMOGRAMS

Geophysics ◽  
1964 ◽  
Vol 29 (5) ◽  
pp. 783-805 ◽  
Author(s):  
William A. Schneider ◽  
Kenneth L. Larner ◽  
J. P. Burg ◽  
Milo M. Backus
Keyword(s):  
Data Processing ◽  
Filter Design ◽  
Random Noise ◽  
Wide Band ◽  
Processing Technique ◽  
Linear Filter ◽  
Least Mean Square ◽  
Near Surface ◽  
Surface Reflection ◽  
Data Processing Technique

A new data‐processing technique is presented for the separation of initially up‐traveling (ghost) energy from initially down‐traveling (primary) energy on reflection seismograms. The method combines records from two or more shot depths after prefiltering each record with a different filter. The filters are designed on a least‐mean‐square‐error criterion to extract primary reflections in the presence of ghost reflections and random noise. Filter design is dependent only on the difference in uphole time between shots, and is independent of the details of near‐surface layering. The method achieves wide‐band separation of primary and ghost energy, which results in 10–15 db greater attenuation of ghost reflections than can be achieved with conventional two‐ or three‐shot stacking (no prefiltering) for ghost elimination. The technique is illustrated in terms of both synthetic and field examples. The deghosted field data are used to study the near‐surface reflection response by computing the optimum linear filter to transform the deghosted trace back into the original ghosted trace. The impulse response of this filter embodies the effects of the near‐surface on the reflection seismogram, i.e. the cause of the ghosting. Analysis of these filters reveals that the ghosting mechanism in the field test area consists of both a surface‐ and base‐of‐weathering layer reflector.

A novel data processing technique for image reconstruction of penumbral imaging

2011 ◽  
Author(s):  
Hongwei Xie ◽  
Hongyun Li ◽  
Zeping Xu ◽  
Guzhou Song ◽  
Faqiang Zhang ◽  
...  
Keyword(s):  
Image Reconstruction ◽  
Data Processing ◽  
Processing Technique ◽  
Penumbral Imaging ◽  
Data Processing Technique

To: “A new data‐processing technique for multiple attenuation exploiting differential normal moveout,” by William A. Schneider, E. R. Prince, Jr., and Ben F. Giles, June, 1965, p. 348–362

Geophysics ◽  
1965 ◽  
Vol 30 (5) ◽  
pp. 932-932
Keyword(s):  
Data Processing ◽  
Processing Technique ◽  
Proper Place ◽  
Multiple Attenuation ◽  
The Cross ◽  
Data Processing Technique

In the article entitled “A new data‐processing technique for multiple attenuation exploiting differential normal moveout,” by William A. Schneider, E. R. Prince, Jr., and Ben F. Giles, June, 1965, p. 348–362, page 361, equation (A‐3) should read: [Formula: see text], (A‐3) and the sentence immediately following should read: where [Formula: see text] and [Formula: see text] are the cross‐spectral…. In the last two equations on the bottom of the page, the π was dropped down from its proper place in the exponent.

Understanding the intention to use medical big data processing technique from the perspective of medical data analyst

2017 ◽  
Vol 45 (4) ◽  
pp. 194-201 ◽  
Author(s):  
Shanyong Wang ◽  
Jun Li ◽  
Dingtao Zhao
Keyword(s):  
Big Data ◽  
Data Processing ◽  
Processing Technique ◽  
Medical Data ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
Big Data Processing ◽  
Content Type ◽  
Medical Big Data ◽  
Data Processing Technique

Purpose The purpose of this paper is to apply an extended technology acceptance model to examine the medical data analyst’s intention to use medical big data processing technique. Design/methodology/approach Questionnaire survey method was used to collect data from 293 medical data analysts and analyzed with the assistance of structural equation modeling. Findings The results indicate that the perceived usefulness, social influence and attitude are important to the intention to use medical big data processing technique, and the direct effect of perceived usefulness on intention to use is greater than social influence and attitude. The perceived usefulness is influenced by perceived ease of use. Attitude is influenced by perceived usefulness, and attitude acts as a mediator between perceived usefulness and usage intention. Unexpectedly, attitude is not influenced by perceived ease of use and social influence. Originality/value This research examines the medical data analyst’s intention to use medical big data processing technique and provides several implications for using medical big data processing technique.

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