scholarly journals Pembentukan Data Mart Menggunakan Metode Generalization

2016 ◽  
pp. 138
Author(s):  
I Gede Sugita Aryandana ◽  
I Made Sukarsa ◽  
Putu Wira Buana
Keyword(s):  
Data Analysis ◽  
Data Warehouse ◽  
Single Subject ◽  
Data Mart ◽  
History Data ◽  
Analysis Process ◽  
Data Marts ◽  
Analyze Data

Technology today causing the data needs of an agency or company to process the data or analyze data quickly, dense and higher. Companies or institutions want the data analysis process can save time as much as possible. The data warehouse is a data analysis technology that is useful to resolve the issue. The data warehouse is a repository of data that is useful to accommodate all the history data held by agencies or companies. Data marts are small part of the data warehouse. Data mart is focused on a single subject. This study uses a generalization method to perform the process of establishing a data mart. Generalization is a useful method to reduce or narrow the differences in the data based Subclass. Subclass were integrated into a Superclass useful to collect some data from the Subclass. Subclass is the data that is more descriptive. Superclass is more general in nature of data. The result obtained is a collection of some Subclass predetermined or selected later formed a Superclass useful to accommodate the resources of the Subclass.

scholarly journals Fungsi Kesantunan Berbahasa pada Kegiatan Musyawarah

2020 ◽  
Vol 5 (3) ◽  
pp. 314
Author(s):  
Destrianika Binoto ◽  
Suparno Suparno ◽  
Anang Santoso
Keyword(s):  
Data Analysis ◽  
Language Function ◽  
Analysis Process ◽  
Recording Method ◽  
Record Data ◽  
The Village ◽  
Analyze Data

<p class="Abstract"><strong>Abstract:</strong> This study aims to describe the politeness of the language function in the activities of deliberation in the village of Tarohan. The method used in the form of a recording method in the form of tapping techniques to analyze data. The recording method in the form of tapping technique is used to record data in a clandestine way that is not visible or without the knowledge that will be recorded in the data analysis process. the function of politeness in language lies in stating information, declaring agreements, stating decisions, stating information, expressing congratulations, requesting recognition, asking for information, asking for reasons, asking for opinions, asking for sincerity, ordering, banning, apologizing, and criticizing.</p><strong>Abstrak:</strong> Penelitian ini bertujuan untuk mendeskipsikan fungsi kesantunan berbahasa pada kegiatan musyawarah di desa Tarohan. Metode yang digunakan berupa metode rekam berupa teknik sadap untuk menganalisis data. Metode rekam berupa teknik sadap ini digunakan untuk merekam data dengan cara sembunyi-sembunyi yang tidak terlihat atau tanpa sepengetahuan yang akan direkam pada proses analisis data. <strong>F</strong>ungsi kesantunan berbahasa terdapat pada menyatakan informasi, menyatakan perjanjian, menyatakan keputusan, menyatakan keterangan, menyatakan selamat, meminta pengakuan, meminta keterangan, meminta alasan, meminta pendapat, meminta kesungguhan, menyuruh, melarang, meminta maaf, dan mengeritik.

scholarly journals Analysis and Design of Data Mart Decision Support Systems at PT Marlindo Tirta Nusantara

SinkrOn ◽  
2019 ◽  
Vol 3 (2) ◽  
pp. 133
Author(s):  
Budi Sudradjat
Keyword(s):  
Data Warehouse ◽  
Accurate Information ◽  
Data Mart ◽  
Analysis And Design ◽  
Data Marts ◽  
Operational Systems ◽  
Challenging Environment ◽  
Asset Data

The role of information technology in each company is very influential in providing complete and accurate information. With a data warehouse or data mart the company can utilize important asset data to present the information needed.. Shipping firms nowadays are in operation with extremely competitive and challenging environment. Vast volume of knowledge is generated from various operational systems and these are used for determination of several business issues that needed imperative handling. The results obtained from this study are data marts that simplify and accelerate the provision of data and information to support decision making, so as to provide a basis for developing DSS and EIS applications. Conclusions obtained by the data warehouse or data mart can provide complete, accurate and integrated information as a basis for consideration for the executive in making decisions so that decisions taken are based on real facts owned by the company.

Data Warehouse Strategy to Enable Performance Analysis

2000 ◽  
Vol 1719 (1) ◽  
pp. 175-183
Author(s):  
Daniel K. Papiernik ◽  
Dhruv Nanda ◽  
Robert O. Cassada ◽  
William H. Morris
Keyword(s):  
Decision Support ◽  
Performance Analysis ◽  
Data Warehouse ◽  
Data Mart ◽  
Strategic Investment ◽  
Business Decision ◽  
Data Marts ◽  
Future Direction ◽  
Virginia Department ◽  
Enterprise Data Warehouse

The Virginia Department of Transportation (VDOT) has engaged to implement an enterprise data warehouse as part of a strategic investment in its information technology (IT) infrastructure. Data warehousing provides an information architecture that serves as the enterprisewide source of data for performance analysis and organizational reporting. To assist VDOT in achieving its strategic outcome area objectives, a programming and scheduling (P&S) data mart is being developed to track preconstruction project activities. This data mart and subsequent data marts function as departmental decision support platforms, enabling VDOT’s operating divisions to perform their own enhanced analytical processing, visualization, and data mining for more informed business decision capabilities. Presented is a case study based on the enterprise data warehouse and P&S data mart being developed and implemented for VDOT by TransCore. Explicitly described is how one VDOT division, Programming and Scheduling, will benefit by investing in IT to achieve its strategic goals. The design approach, methodology, and implementation procedure for the P&S decision support data mart are detailed. The methodology for capturing the performance measures that have been defined by the P&S division in the context of its strategic outcome areas is highlighted. Recommended future direction and the technologies that the agency should adopt to continue to maximize their IT investment are outlined.

scholarly journals Importance of Data Mart for Data Warehouse

2021 ◽  
pp. 65-68
Author(s):  
Hoemra N. Halvadi Assistant Professor
Keyword(s):  
Decision Support ◽  
Data Warehouse ◽  
Market Share ◽  
Data Science ◽  
Data Repository ◽  
Data Mart ◽  
Data Marts ◽  
Conceptual Data ◽  
Gathering Data ◽  
Significant Data

In today’s world there are large amount of significant data to counter highly force races, extends market share and improve profitability. for that they required the information in a such way that can be a subject oriented, combined, non-volatile and time-variant. It a conceptual data for data repository of data for gathering data from various sources and merge by the whole enterprise. The data mart is newly progress area of data Science which is to be used to important deployment of decision support ability with the fire answer on investment need by the pace of extant business. Basically, data mart is coming from the data warehouse to emerged the technology and getting data in faster way which is used to merge to create Data warehouse. In the paper we will take review about design and integration of data marts and various techniques used for merged data mart.

Architecture of a distributed system for processing heterogeneous data from social networks

2020 ◽  
Vol 4 ◽  
pp. 97-100
Author(s):  
A.P. Pronichev ◽  
Keyword(s):  
Social Networks ◽  
Data Analysis ◽  
Distributed System ◽  
Heterogeneous Data ◽  
Analysis Process ◽  
Support Costs

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.

scholarly journals Hubungan Budaya Sekolah Dan Keteladanan Guru Dengan Karakter Siswa Sekolah Dasar Negeri 050772 Kecamatan Pangkalan Susu Kabupaten Langkat

2021 ◽  
Vol 4 (1) ◽  
pp. 19-26
Author(s):  
Khairani Nasution
Keyword(s):  
Data Analysis ◽  
School Culture ◽  
Primary School ◽  
Positive Relation ◽  
Data Collection Tool ◽  
Know How ◽  
Analysis Process ◽  
Analysis Technique ◽  
Sample Data ◽  
Data Analysis Result

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.

scholarly journals Preprocessing Profiling Model for Visual Analytics

2020 ◽  
Author(s):  
Alessandra Maciel Paz Milani ◽  
Fernando V. Paulovich ◽  
Isabel Harb Manssour
Keyword(s):  
Data Mining ◽  
Data Analysis ◽  
Visual Analytics ◽  
Data Preprocessing ◽  
Interview Study ◽  
Raw Data ◽  
Important Stage ◽  
Analysis Process

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.

scholarly journals Business intelligence for social media interaction in the travel industry in Indonesia

2018 ◽  
Vol 8 (2) ◽  
Author(s):  
Michael Yulianto ◽  
Abba Suganda Girsang ◽  
Reinert Yosua Rumagit
Keyword(s):  
Social Media ◽  
Data Warehouse ◽  
Business Intelligence ◽  
Marketing Activity ◽  
Social Media Data ◽  
Current Technology ◽  
Media Interaction ◽  
Travel Industry ◽  
Media Data ◽  
Analyze Data

Electronic ticket (eticket) provider services are growing fast in Indonesia, makingthe competition between companies increasingly intense. Moreover, most of them have the sameservice or feature for serving their customers. To get back the feedback of their customers, manycompanies use social media (Facebook and Twitter) for marketing activity or communicatingdirectly with their customers. The development of current technology allows the company totake data from social media. Thus, many companies take social media data for analyses. Thisstudy proposed developing a data warehouse to analyze data in social media such as likes,comments, and sentiment. Since the sentiment is not provided directly from social media data,this study uses lexicon based classification to categorize the sentiment of users’ comments. Thisdata warehouse provides business intelligence to see the performance of the company based ontheir social media data. The data warehouse is built using three travel companies in Indonesia.As a result, this data warehouse provides the comparison of the performance based on the socialmedia data.

scholarly journals Pelatihan Pola Ritme Sebagai Strategi Peningkatan Kualitas Pembalajaran Mata Kuliah Instrumen Gitar di Jurusan Musik FSP ISI Yogyakarta

PROMUSIKA ◽  
2019 ◽  
Vol 7 (1) ◽  
pp. 20-28
Author(s):  
Kustap Kustap ◽  
Ikhsan Lubis
Keyword(s):  
Data Analysis ◽  
Qualitative Method ◽  
Class Action ◽  
Material Objects ◽  
Rhythmic Pattern ◽  
Training Process ◽  
Interactive Model ◽  
Analysis Process ◽  
Research Material ◽  
Rhythm Pattern

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

Embracing tension: using Bakhtinian theory as a means for data analysis

2016 ◽  
Vol 17 (1) ◽  
pp. 20-36 ◽  
Author(s):  
Xiaoli Hong ◽  
Michelle M Falter ◽  
Bob Fecho
Keyword(s):  
Qualitative Research ◽  
Data Analysis ◽  
Qualitative Data ◽  
Multiple Perspectives ◽  
Qualitative Data Analysis ◽  
Research Participants ◽  
Analysis Process ◽  
Bakhtinian Theory ◽  
Ongoing Dialogue

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.

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