The Origin and Development of Data Mining with Large Data

2014 ◽  
Vol 668-669 ◽  
pp. 1331-1334
Author(s):  
Hong Yu Ma ◽  
Gui Yun Zhang
Keyword(s):  
Data Mining ◽  
Information Technology ◽  
Big Data ◽  
Technology Development ◽  
Large Data ◽  
Growth Data ◽  
Information Technology Development ◽  
Special Meaning

With rapid information technology development, the accumulation of data and applications are becoming more and more urgent. Data is growing faster and faster, so "massive, explosive growth," words just can't describe today's data growth, data mining from the knowledge or information is found in the repository, which has special meaning for humans to deal with these data provide a convenient and effective way. Between big data and data mining technologies have an inseparable relationship.

scholarly journals AKUNTAN DALAM INDUSTRI 4.0: STUDI KASUS KANTOR JASA AKUNTAN (KJA) DI WILAYAH KEPULAUAN RIAU

2020 ◽  
Vol 11 (2) ◽  
pp. 100-109
Author(s):  
Alfonsa Dian Sumarna
Keyword(s):  
Information Technology ◽  
Big Data ◽  
Data Analysis ◽  
Internet Of Things ◽  
Data Analytics ◽  
Technology Development ◽  
Leadership Skills ◽  
Computer Software ◽  
Data Entry ◽  
Information Technology Development

Abstract Using robotics and data analytics (big data) can over take clerical job (data entry, bookkeeping, compliance work). Accounting profession underestimate to technologies. Competence such as data analysis, information technology development, and leadership skills must be adapted to face 4.0. Our research found that Kantor Jasa Akuntan in Kepulauan Riau Province using 80% accounting professional labor (accounting bachelor). This research confirmed about IoT (Internet of Things) that 60% of KJA use 70-100% of total hours of work using computer (software) and internet compare with manual working. KJA need accounting professional who able to work with software such as accounting software, statistic, Ms Office, Zahir, and SAP. This research also found the main softskill needed is critical thingking ability. Acording to the survey, software are not affecting accounting employment yet. Keywords: Industry 4.0; Accounting Professional; Software; Internet of Things Abstrak Penggunaan robotics dan data analytics (big data) dapat mengambil alih pekerjaan dasar yang dilakukan oleh akuntan (mencatat transaksi, mengolah transaksi, dan memilah transaksi). Profesi akuntan merasa dirugikan terkait dampak teknologi terhadap pekerjaan akuntan. Kompetensi yang penting bagi profesi akuntan dalam menghadapi 4.0 misalnya data analysis, information technology development, dan leadership skills harus dapat dikembangkan. Penelitian ini menunjukkan bahwa Kantor Jasa Akuntan di Wilayah Provinsi Kepulauan Riau masih tetap mempertahankan menggunakan tenaga profesional akuntan sebesar 80% merupakan Sarjana Akuntansi. Selain itu penelitian ini juga mengkonfirmasi penggunaan IoT (Internet of Things) yaitu sebesar 60% KJA menggunakan 70-100% total waktu menyelesaikan pekerjaan menggunakan komputer (software) dan internet dibandingkan dengan pengerjaan manual. KJA membutuhkan akuntan profesional yang menguasai software akuntansi, statistika, MsOffice, Zahir dan SAP. Selain menguasai software dalam menghadapi 4.0, penelitian ini menunjukkan bahwa softskill utama yang diperlukan adalah memiliki kemampuan berpikir kritis dan analitis. Kata Kunci: Industri 4.0; Akuntan Profesional; software; Internet of Things

scholarly journals PERANCANGAN APLIKASI SISTEM INFORMASI KEPENDUDUKAN DI KECAMATAN GONDOMANAN

2016 ◽  
Vol 2 (2) ◽  
Author(s):  
Dwi Broto Bagus Setiawan
Keyword(s):  
Information Technology ◽  
Information System ◽  
Information Systems ◽  
Data Processing ◽  
Programming Language ◽  
Technology Development ◽  
Large Data ◽  
Manual Method ◽  
The World ◽  
Information Technology Development

Information technology development is very fast in the last decade was veryinfluential on various aspects of life in the world in general and Indonesia in particular.Especially offices that have access to large data processing, because the data processing is nolonger possible to use the manual method because it is less effective and efficient. Likewise withGondomanan District, Yogyakarta are still using simple applications such as excel in the sensethat less rapidly. For that create an information system that could facilitate performancekepependudukan Gondomanan District, Yogyakarta. With the use of information systems, it is possible the optimization of the work and service functions to achieve good services as needed,including the optimization of the system in the handling of population, especially in theinformation system that could facilitate performance kepependudukan Gondomanan District,Yogyakarta. Then produced an information system that is easy, interactive, fast, and useful. Thesystem uses the Apache server, PHP programming language and MySQL database

scholarly journals Development of Big Data Analytics Model

2019 ◽  
Vol 4 (1) ◽  
pp. 14-25
Author(s):  
Saiful Rizal
Keyword(s):  
Data Mining ◽  
Information Technology ◽  
Big Data ◽  
Data Storage ◽  
Data Structures ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Large Data ◽  
Complex Data ◽  
Survey Paper

The development of information technology produces very large data sizes, with various variations in data and complex data structures. Traditional data storage techniques are not sufficient for storage and analysis with very large volumes of data. Many researchers conducted their research in analyzing big data with various analytics models in big data. Therefore, the purpose of the survey paper is to provide an understanding of analytics models in big data for various uses using algorithms in data mining. Preprocessing big data is the key to turning big data into big value.

scholarly journals CHURN PREDICTION PELANGGAN MENGGUNAKAN CRISP-DM (Studi Kasus Pelanggan TelkomFlexi Bandung)

2013 ◽  
Vol 5 (1) ◽  
pp. 53-62
Author(s):  
Yance Sonatha
Keyword(s):  
Data Mining ◽  
Information Technology ◽  
Information Technologies ◽  
Technology Development ◽  
Churn Prediction ◽  
Process Data ◽  
Use Of Data ◽  
Churn Analysis ◽  
Information Technology Development ◽  
A Company

Nowadays, the need to stay ahead of the competencies is one of the company's focus. In an effort to stay afloat in the competitive conditions, companies can perform a variety of information technology development. One of the information technologies that are currently being intensively developed is the use of Data Mining. Data Mining provides benefits to process data into useful information for a company. The main pont of the research on this journal is to establish data mining models to  identify TelkomFlexi postpaid customers who have the possibility to move to another provider (churn analysis).Churn analysis is done so that the company can choose the most appropriate strategy in retaining customers. Type of data mining is used to churn analysis is classification.

Challenges and Cloud Computing Environments Towards Big Data

2014 ◽  
pp. 203-208
Author(s):  
Kiran Kumar S V N Madupu
Keyword(s):  
Data Mining ◽  
Cloud Computing ◽  
Big Data ◽  
Technology Development ◽  
Computing Environments ◽  
Modern Technologies

Big Data has terrific influence on scientific discoveries and also value development. This paper presents approaches in data mining and modern technologies in Big Data. Difficulties of data mining as well as data mining with big data are discussed. Some technology development of data mining as well as data mining with big data are additionally presented.

Analytical Study on Big Data

2018 ◽  
Vol 8 (5) ◽  
pp. 75
Author(s):  
Vivek Raich ◽  
Pankaj Maurya
Keyword(s):  
Information Technology ◽  
Big Data ◽  
Decision Maker ◽  
Analytical Study ◽  
Large Data ◽  
Decision Makers ◽  
Continuous Increase ◽  
Analytic Methods ◽  
Data Store ◽  
Business Engineering

in the time of the Information Technology, the big data store is going on. Due to which, Huge amounts of data are available for decision makers, and this has resulted in the progress of information technology and its wide growth in many areas of business, engineering, medical, and scientific studies. Big data means that the size which is bigger in size, but there are several types, which are not easy to handle, technology is required to handle it. Due to continuous increase in the data in this way, it is important to study and manage these datasets by adjusting the requirements so that the necessary information can be obtained.The aim of this paper is to analyze some of the analytic methods and tools. Which can be applied to large data. In addition, the application of Big Data has been analyzed, using the Decision Maker working on big data and using enlightened information for different applications.

Information Technology Development Risks in the Banking Sector

2020 ◽  
Vol 14 (3) ◽  
pp. 44-53
Author(s):  
N. E. Sokolinskaya ◽  
L. M. Kupriyanova
Keyword(s):  
Information Technology ◽  
Customer Service ◽  
Banking Sector ◽  
Technology Development ◽  
Banking System ◽  
Security Risk ◽  
On Line ◽  
Information Technology Development ◽  
Development Risks ◽  
Security Risk Management

The relevance of the article is because in parallel with the processes of introduction of innovations in the field of automation and computerization of the banking system, the number of types of banking risks associated with innovations in the field of on-line customer service and internal Bank reporting, as well as information systems. As a result of this article, we have studied the latest legislative acts of the Central Bank of Russia as a mega-regulator and summarized the practice of both individual credit institutions and the banking sector in the field of information technology development risks in the banking sector. To strengthen the development of new financial technologies in the digital economy, it is necessary to regularly discuss the emergence of new phenomena and innovations; to consider the possibility of further analysis of existing methodological developments to exchange best practices of banks. Building an effective it security risk management system is not a one-time project. Still, a complex process is important, focused on minimizing external and internal threats and taking into account the limitations on resources and time factor

A Manufacturing Systems Engineering View of IT Research and Development

1987 ◽  
Vol 2 (3) ◽  
pp. 114-118
Author(s):  
M.W. Dale
Keyword(s):  
Information Technology ◽  
Research And Development ◽  
Systems Engineering ◽  
Manufacturing Systems ◽  
Technology Development ◽  
Human Interface ◽  
Real World Applications ◽  
Computing Skills ◽  
Information Technologists ◽  
Information Technology Development

This paper presents a manufacturing systems engineering view of important issues relating to IT research and development. It argues for an approach to the next phase of information technology development which is heavily based on real-world applications with the dominant influences held by educated users and engineers who have added computing skills, rather than information technologists. It argues for ‘consolidation’ with particular attention to total systems integration and an emphasis on the need to professionally engineer the human interface.

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