scholarly journals Application of K-Means Cluster and Spatial Statistics using Python to Analyze the Indicators of Indonesia Information Technology

2021 ◽  
Vol 12 (1) ◽  
pp. 11-18
Author(s):  
Bambang Suharjo
Keyword(s):  
Data Mining ◽  
Information Technology ◽  
Spatial Statistics ◽  
National Policy ◽  
Policy Formulation ◽  
Technology Literacy ◽  
Business Success ◽  
The Internet ◽  
Statistical Map ◽  
Development Plans

The use of computers and the internet is very important for business improvement. Analysis of its use for delineation and development plans in order to provide a better role in the business field. The problem is that there is no information technology literacy map in Indonesia that can provide an overview for national policy formulation. The research was carried out to compile a map of mastery of information technology in Indonesia by data mining from the Central Bureau of Statistics and analyzed it into 4 clusters of mastery of information technology. The presentation results in the form of a spatial statistical map showing the mastery of information technology makes it easier for executive decisions to be made, which can be followed up with education, socialization and other floating plans to increase indications of mastery of information technology to increase business success.

E-Commerce Recommendation Systems

2009 ◽  
pp. 180-188
Author(s):  
Konstantinos Markellos ◽  
Penelope Markellou ◽  
Aristotelis Mertis ◽  
Angeliki Panayiotaki
Keyword(s):  
Information Technology ◽  
The Other ◽  
Business Success ◽  
The Internet ◽  
Electronic Business ◽  
Business Activity ◽  
Economic Sectors ◽  
Face To Face ◽  
Cost Cutting ◽  
Networked Economy

In the last decade electronic and wireless technologies have changed the way companies do business forever. E-commerce (electronic commerce) and e-business (electronic business) feature as extremely dynamic economic sectors and at the same time, as the most appealing ways of beginning or expanding a business activity. Successful companies today recognize these technologies and the Internet as mainstream to business success. Indeed, their future will continue to be promising to companies seeking means for cost cutting, enhanced productivity, improved efficiency, and increased customers’ satisfaction. On the other hand, this networked economy is notably characterized by the impersonal nature of the online environment and the extensive use of IT (information technology), as opposed to face-to-face contact for transactions.

scholarly journals ANALISIS DATA MINING HOTEL BOOKING MENGGUNAKAN MODEL ID3

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Agus Budiyantara ◽  
Andreanus Kevin Wijaya ◽  
Anthony Gunawan ◽  
Michael Rolland
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Information Technology ◽  
Success Rate ◽  
Rapid Development ◽  
The Internet ◽  
Processing Data ◽  
The Future ◽  
Hotel Booking ◽  
Business Sectors

<em>The rapid development of information technology in this era makes it easier for someone to get information. Many business sectors are now promoting their products or services on the internet. An example is a hotel, in the technological era now we can easily find out about hotel information, ranging from location, price, and others. With the convenience to get information about this hotel, customers are indirectly increasing in a hotel. This of course causes the data contained in a hotel to increase as well. These data can be processed until we get an output and there is also data that is missing or cannot be processed. The data that can be processed can be analyzed until finally it becomes an information and prediction. In this journal, we will explain the Data Mining analysis in a hotel to analyze the success rate of a hotel. By doing this analysis, you will get insights about the level of success of the hotel and can also predict the future. Thus later the results of this analysis can be used by the hotel to assist in better decision making. Processing data in this study using the Rapid Miner application by entering data of customers who make hotel reservations</em>

A Survey on Database in Cloud Computing with Reference to the Traditional Database

2017 ◽  
Vol 7 (11) ◽  
pp. 150
Author(s):  
Eter Basar ◽  
Ankur Pan Saikia ◽  
L. P. Saikia
Keyword(s):  
Information Technology ◽  
Cloud Computing ◽  
The Internet ◽  
Data Organization ◽  
Technology Industry ◽  
Business Applications ◽  
Business Information ◽  
Points Of Interest ◽  
Cloud Databases ◽  
Online Reservation

Data Technology industry has been utilizing the customary social databases for around 40 years. Be that as it may, in the latest years, there was a generous transformation in the IT business as far as business applications. Remain solitary applications have been supplanted with electronic applications, conferred servers with different proper servers and committed stockpiling with framework stockpiling. Lower expense, adaptability, the model of pay-as-you-go are the fundamental reasons, which caused the conveyed processing are transformed into reality. This is a standout amongst the hugest upsets in Information Technology, after the development of the Internet. Cloud databases, Big Table, Sherpa, and SimpleDB are getting the opportunity to be more natural to groups. They featured the hindrances of current social databases as far as convenience, adaptability, and provisioning. Cloud databases are basically utilized for data raised applications, for example, stockpiling and mining of gigantic information or business information. These applications are adaptable and multipurpose in nature. Various esteem based data organization applications, such as managing an account, online reservation, e-exchange and stock organization, and so on are delivered. Databases with the help of these sorts of uses need to incorporate four essential highlights: Atomicity, Consistency, Isolation, and Durability (ACID), in spite of the fact that utilizing these databases isn't basic for utilizing as a part of the cloud. The objective of this paper is to discover the points of interest and disservices of databases generally utilized in cloud frameworks and to survey the difficulties in creating cloud databases

scholarly journals A Study in the Early Prediction of ICT Literacy Ratings Using Sustainability in Data Mining Techniques

2021 ◽  
Vol 13 (4) ◽  
pp. 2141
Author(s):  
Kyungyeul Kim ◽  
Han-Sung Kim ◽  
Jaekwoun Shim ◽  
Ji Su Park
Keyword(s):  
Data Mining ◽  
Learning Process ◽  
Technology Literacy ◽  
Early Prediction ◽  
Ict Literacy ◽  
Educational Strategies ◽  
Achievement Level ◽  
Data Mining Techniques ◽  
Educational Backgrounds ◽  
Customized Learning

It would be very beneficial to determine in advance whether a student is likely to succeed or fail within a particular learning area, and it is hypothesized that this can be accomplished by examining student patterns based on the data generated before the learning process begins. Therefore, this article examines the sustainability of data-mining techniques used to predict learning outcomes. Data regarding students’ educational backgrounds and learning processes are analyzed by examining their learning patterns. When such achievement-level patterns are identified, teachers can provide the students with proactive feedback and guidance to help prevent failure. As a practical application, this study investigates students’ perceptions of computer and internet use and predicts their levels of information and communication technology literacy in advance via sustainability-in-data-mining techniques. The technique employed herein applies OneR, J48, bagging, random forest, multilayer perceptron, and sequential minimal optimization (SMO) algorithms. The highest early prediction result of approximately 69% accuracy was yielded for the SMO algorithm when using 47 attributes. Overall, via data-mining techniques, these results will aid the identification of students facing risks early on during the learning process, as well as the creation of customized learning and educational strategies for each of these students.

Data collection of safety accidents in sports training of athletes with Internet of Things technology

2021 ◽  
pp. 1-7
Author(s):  
Zhiping Wang ◽  
Xinxin Zheng ◽  
Zhichen Yang
Keyword(s):  
Information Technology ◽  
Data Collection ◽  
Internet Of Things ◽  
The Internet ◽  
Sports Training ◽  
Accident Data ◽  
And Performance ◽  
Control Technologies ◽  
Internet Of Things Technology ◽  
The Internet Of Things

The Internet of Things (IoT) technology is an information technology developed in recent years with the development of electronic sensors, intelligence, network transmission and control technologies. This is the third revolution in the development of information technology. This article aims to study the algorithm of the Internet of Things technology, through the investigation of the hazards of athletes’ sports training, scientifically and rationally use the Internet of Things technology to collect data on safety accidents in athletes’ sports training, thereby reducing the risk of athletes’ sports training and making athletes better. In this article, the methods of literature research, analysis and condensing, questionnaire survey, theory and experiment combination, etc., investigate the safety accident data collection of the Internet of Things technology in athletes’ sports training, and provide certain theories and methods for future in-depth research practice basis. The experimental results in this article show that 82% of athletes who are surveyed under the Internet of Things technology will have partial injuries during training, reducing the risk of safety accidents in athletes’ sports training, and better enabling Chinese athletes to achieve a consistent level of competition and performance through a virtuous cycle of development.

Sistem Informasi Penjualan Online di Universitas Katolik Santo Thomas (Tokounika) Berbasis Web Menggunakan Metode Feature Driven Development

2021 ◽  
pp. 63-71
Author(s):  
Andy Paul Harianja ◽  
Iwada Grawilser Talunohi
Keyword(s):  
Information Technology ◽  
Information System ◽  
Information Systems ◽  
Communication Networks ◽  
Business Processes ◽  
Business Students ◽  
The Internet ◽  
Online Sales ◽  
Catholic University ◽  
Business Entities

The development of the field of information technology is very rapid, therefore many companies, industries, shops and other business entities are using information systems to increase their business. Online sales information systems are used to carry out business processes such as distribution, sales, purchasing, marketing of goods or services by using communication networks and the internet. Online sales information systems can help people who do not have a place or shop to carry out their business. Students in this case, especially at the Catholic University of Santo Thomas, are an opportunity to take advantage of this facility in carrying out their business, especially if they do not have a place or shop to carry out their business. For this reason, an online sales information system was built that can be accessed through the website.

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