Data Analysis, Process Analysis, and System Change

1972 ◽  
Vol 16 (4) ◽  
pp. 538 ◽  
Author(s):  
Ronald D. Brunner ◽  
Klaus Liepelt
2020 ◽  
Vol 4 ◽  
pp. 97-100
Author(s):  
A.P. Pronichev ◽  

The article discusses the architecture of a system for collecting and analyzing heterogeneous data from social networks. This architecture is a distributed system of subsystem modules, each of which is responsible for a separate task. The system also allows you to use external systems for data analysis, providing the necessary interface abstraction for connection. This allows for more flexible customization of the data analysis process and reduces development, implementation and support costs.


1988 ◽  
Vol 4 (01) ◽  
pp. 11-20
Author(s):  
George J. Bruce

Ship design for production is widely accepted in principle. Its successful establishment depends on the shipbuilders having a well-defined shipbuilding policy, available to the designer, the establishment of a realistic and agreed schedule, and adequately trained personnel. Key production engineering techniques include spatial analysis, process analysis, and standardization. The advent of powerful and inexpensive computer software has created new opportunities for producibility to be incorporated from the earliest stages of the design process. Significant progress has been made in recent years in the development of design methods and in their application


2021 ◽  
Vol 4 (1) ◽  
pp. 19-26
Author(s):  
Khairani Nasution

This research aims to know how the relation of primary School 050772 Pangkalan Susu. The sample of this research 30 student where 21% taken  of 141 students. This research uses data collection tool in the form of Likert scale. Questioner is compiled based on variabel and tested to  respondent that is not research sample. Data analysis process is conducted by using quantitative approach through three steps, they are: 1. Describing research variabel data. 2. Testing requirements analysis. 3. Testing hypotesis to reveal the relation the relation beetween research variables using correlation analysis technique. Based on data analysis result and testing process, then the conclusion is (1) the school culture has positive relation with student’s character of primary school 050772 Pangkalan Susu. This case is proved that the correlation r (0,504) > r table (0,3061) while the significance is 0,004 < 0,05; (2) the teacher’s example has positive relation with student’s character of primary School 050772 Pangkalan Susu where correlation coeficient r (0,603) > r table (0,3061) with significncy 0,006, it is fewer than 0,05; (3) School Culture and teacher’s example has positive ration with student’s character of primary school 050772 Pangkalan Susu where correlation coefisiency r (0,662) > r table (0,3061), testing result F shows that F count (10,506) > F table (3,35) while significancy < 0,05 that is 0,000. Based on the research above, it can be stated that student’s character can be formed through school culture and teacher ’s example.


2020 ◽  
Author(s):  
Alessandra Maciel Paz Milani ◽  
Fernando V. Paulovich ◽  
Isabel Harb Manssour

Analyzing and managing raw data are still a challenging part of the data analysis process, mainly regarding data preprocessing. Although we can find studies proposing design implications or recommendations for visualization solutions in the data analysis scope, they do not focus on challenges during the preprocessing phase. Likewise, the current Visual Analytics processes do not consider preprocessing an equally important stage in their process. Thus, with this study, we aim to contribute to the discussion of how we can use and combine methods of visualization and data mining to assist data analysts during the preprocessing activities. To achieve that, we introduce the Preprocessing Profiling Model for Visual Analytics, which contemplates a set of features to inspire the implementation of new solutions. In turn, these features were designed considering a list of insights we obtained during an interview study with thirteen data analysts. Our contributions can be summarized as offering resources to promote a shift to a visual preprocessing.


PROMUSIKA ◽  
2019 ◽  
Vol 7 (1) ◽  
pp. 20-28
Author(s):  
Kustap Kustap ◽  
Ikhsan Lubis

Pola ritme merupakan elemen musik utama yang berkaitan langsung dengan gerakan waktu dalam musik, di mana waktu selalu bergerak dan mengatur kestabilan rasa musikal. Pola ritme sangat mentukan ketepatan hitungan dalam permainan gitar tunggal, dan bermain anasambel gitar. Pola ritme merukan objek material penelitian sedangkan proses pelatihan pola rime dalam pembelajaran mata kuliah instrumen gitar merupakan objek formal. Metode yang digunakan dalam penelitian ini adalah metode kualitatif dan tindakan kelas dengan teknik pengupulan data triangulasi, sedangkan proses analisis data menggunakan model interaktif. Hasil yang diperoleh dari penelitian ini adalah strategi latihan pola ritme yang disesuaikan dengan tanda sukat yang ada pada materi yang berupa lagu yang akan dilatih dengan instrumen gitar. moving and regulating musical stability. Rhythm patterns really determine the accuracy of counts in a single guitar game, and play guitar ensembles. Rhythm patterns are research material objects while the rime training process in learning guitar instrument subjects is a formal object. The method used in this study is a qualitative method and class action with the technique of collecting triangulation data, while the data analysis process uses an interactive model. The results obtained from this study are the rhythmic pattern training strategies that are tailored to the signs of sukat that are in the material in the form of songs that will be trained with guitar instruments.Keywords: Rhythm pattern; training; learning; guitar


2016 ◽  
Vol 17 (1) ◽  
pp. 20-36 ◽  
Author(s):  
Xiaoli Hong ◽  
Michelle M Falter ◽  
Bob Fecho

In this article we introduce tension as a means for qualitative data analysis based on Mikhail Bakhtin’s dialogical theory. We first explain the foundations of Bakhtin’s theory and show the inevitability of tension in our lives and qualitative data analysis. We then offer a review of how Bakhtin’s notion of tension has manifested itself in qualitative research, which prompts us to establish a tensional approach to qualitative data analysis. Finally, we outline our framework for a tensional approach to data analysis and illustrate examples of putting this approach into practice in our own study. Our tensional approach (1) explores key moments of tension; (2) seeks out unease and discomfort; (3) involves researcher and research participants in ongoing dialogue; (4) and embraces multiple perspectives on a range of tensions during the data analysis process. It encourages uncertainties and questions instead of pursuing certainty of meaning and fixed conclusions.


2016 ◽  
Vol 16 (3) ◽  
pp. 232-256 ◽  
Author(s):  
Hans-Jörg Schulz ◽  
Thomas Nocke ◽  
Magnus Heitzler ◽  
Heidrun Schumann

Visualization has become an important ingredient of data analysis, supporting users in exploring data and confirming hypotheses. At the beginning of a visual data analysis process, data characteristics are often assessed in an initial data profiling step. These include, for example, statistical properties of the data and information on the data’s well-formedness, which can be used during the subsequent analysis to adequately parametrize views and to highlight or exclude data items. We term this information data descriptors, which can span such diverse aspects as the data’s provenance, its storage schema, or its uncertainties. Gathered descriptors encapsulate basic knowledge about the data and can thus be used as objective starting points for the visual analysis process. In this article, we bring together these different aspects in a systematic form that describes the data itself (e.g. its content and context) and its relation to the larger data gathering and visual analysis process (e.g. its provenance and its utility). Once established in general, we further detail the concept of data descriptors specifically for tabular data as the most common form of structured data today. Finally, we utilize these data descriptors for tabular data to capture domain-specific data characteristics in the field of climate impact research. This procedure from the general concept via the concrete data type to the specific application domain effectively provides a blueprint for instantiating data descriptors for other data types and domains in the future.


2021 ◽  
Author(s):  
Ivan Efremov ◽  
Roman Veselovskiy

&lt;p&gt;There are many programs for the analysis and visualization of paleomagnetic data, but each of them is good only in a certain use case and does not allow to perform a full cycle of paleomagnetic operations. Therefore, one has to resort to using a number of programs to complete the full path of processing paleomagnetic data. You often have to convert data from one format to another, manually vectorize charts, and generally spend more time and effort than could theoretically be spent. Thus, there is a long overdue need for a universal program capable of fast, convenient and high-quality performance of a full cycle of paleomagnetic operations. A set of programs written by Randy Enkin (Enkin, 1996) for DOS was taken as a time-tested example of such a program. The choice fell on them, since these programs (although they are very outdated) allow performing a full cycle of paleomagnetic operations and do it as conveniently and efficiently as possible for that time.&lt;/p&gt;&lt;p&gt;Our goal is to create a program devoid of all of the above disadvantages and capable of developing indefinitely as modular opensource software by the efforts of all people interested in this.&lt;/p&gt;&lt;p&gt;The result of our work is PMTools &amp;#8211; a cross-platform software for statistical analysis and visualization of paleomagnetic data. PMTools supports all widely used paleomagnetic data formats and allows you to work with them simultaneously. All charts created in PMTools are vector, adapted for direct using in publications and presentations, and can be exported in both vector and raster formats. At the same time, PMTools implements a full cycle of routine paleomagnetic operations: from finding the best-fit directions to calculating the mean paleomagnetic poles. Moreover, all operations can be performed both with a mouse through a graphical user interface and with hotkeys, which significantly speeds up the data analysis process.&amp;#160;&lt;/p&gt;&lt;p&gt;In the near future, PMTools will become a modular open source application, so that each user will be able to add its own modules, thereby expanding the program's functionality.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;References&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;Enkin, R.J., 1996. A Computer Program Package for Analysis and Presentation of Paleomagnetic Data, Pacific Geoscience Center, Geological Survey of Canada, http://www.pgc.nrcan.gc.ca/tectonic/enkin.htm.&lt;/p&gt;


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Thomas Bustomi ◽  
Bhakti Nur Avianto

Purpose Bandung city had constructed new facilities in urban areas or supplemented existing facilities to create a city branding of music-design-culinary. This paper aims to assess their potential as new tourist areas for urban. This study very little research explicitly to discuss new phenomena tourism from urban areas that raise the image of three branding concepts at once. Design/methodology/approach Qualitative research more emphasized meaning and process analysis. Data analysis was carried out by looking at the status of an urban community, an object and a set of conditions in the thought system or current cases. The supporting data analysis technique used in this research is spatial analysis overlay is one of the basic ways to create spatial relationships between music, design and culinary by processing the result SWOT analysis factor. Findings Three forms of brand imaging development can ultimately lift new changes in strengthening relationships for building a good image of the tourism city with visitors. Originality/value For developing a new branding that can be implemented, the actors necessary to identify and assess internal and external factors policy for further formulation development of tourism city strategy. These articles very few research to explore discuss new phenomena in urban tourism that raise the image of three branding concepts at once. The present work was a modest effort to fill this gap literature with uses a compilation of research findings separately from city branding in various cities used as a conceptual basis and a comparative analysis is then conducted of three schemes.


Buana Bastra ◽  
2021 ◽  
Vol 5 (1) ◽  
pp. 49-53
Author(s):  
Pitaloka Wibawani Puspa ◽  
Luluk Isani Kulup

Language is of vital importance matter in human life. One of language function is to communicate. Along growth and advancement of technology, form of communication alsofollows expand and growing sophisticated. In other hand, can also getting the quickerinformation pass by internet that is from online news. Background this Research overshadows by existence of irrelevancy the usage of diction (word choice) that used by at onlinenews. As for research focus this is about diction (diction choice) at Detik.com online news?.Research Target this is describe the usage of diction (word choice) at Detik.com online news.By using descriptive research approach qualitative, this research takes data of have the shapeof phrase or sentence related to diction (word choice), whereas data source at research this isthe set of Detik.com online news. data collecting technique as used in research this is thedocumentation with steps collect online newses and then read citation from news referred as.At technique of data analysis, process of data of analysis have the shape of accurate dataobtained/got, classifying and coding data, interpret data, and conclude data. Base result ofdata analysis and discussion, can be concluded that existed some inaccurates in the usage ofdiction at Detik.com online news, that is at meaning connotative, synonym, antonym, publicword, special word, and foreign word.


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