Data

Nasution, Mahyuddin K. M.; Aulia, Indra; Elveny, Marischa

doi:10.1088/1742-6596/1235/1/012110

Cited by 10 publications

(3 citation statements)

References 50 publications

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“…Thus, by using the interpretation of Figure 3, it can reveal that some new science was born and the umbilical cord remained attached to mathematics. The term data (plural of datum) has been recognized for a long time (Anonim, 1824;Nasution, Aulia, & Elveny, 2019, Lederer, Capone, Umlauft, & Hirche, 2020. While the presentation of the term data science has so far only in several context of discussion in the last thirty years.…”

Section: Resultsmentioning

confidence: 99%

“…Reality is expressed based on data for facts to speak, but both data and metadata never without together with time. In general, disclosing data as fact in a conversation without involving a time when the data was encoded, it causes that fact to be inappropriate, or we call it the "hoax" (a falsehood) (Nasution, Aulia, & Elveny, 2019;Hamsal & Zein, 2019). For example, a sentence "if p 1 < p 2 +p 3 applies then q 1 > q 2 +q 3 applies" is a statement of true value had been valid during the reign of Jokowi era in Indonesia, where data and information do not support each other (Adang, 2019).…”

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confidence: 99%

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The birth of a science

Nasution

2020

Hist. sci. technol.

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Physics, biology, chemistry, for example, do not already only study programs in many universities but are at the forefront of the development of science, and that is science itself. The development of the basic foundation becomes the mother of science, such as mathematics, as a suspicion of the birth of new sciences. The interests related to the life and welfare of humans always invites the possibility of the birth of science in concepts, but mathematics confirms it. In certain cases, as an application, or it gives birth to answers in technology form, which is distorted according to the social demands of society. Every science has its methodology, which is based on the logic that helps to reason. A natural model is an approach to generating methods, as well as the principles that develop in artificial intelligence based on mathematics. This principle not only changes the way of perceiving data, but it also establishes new definitions of data, and changes statistics, optimization, and other fields. Each science also has implications for other sciences but also has applications that are also related to other sciences. Every science supports technology to improve social welfare. Historically, century by century, many new scientific fields were born, and it has evidence from the publication of scientific works to books as scientific standards. Then, the teaching curricula supported its initial dissemination and its development through research with evidence of scientific publications either through papers in proceedings of scientific meetings or articles in the journals. A study program about science in the related faculty is mandatory, and it is as the spearhead in further scientific and technological development. So everything starts and ends at one point, namely the birth of new science, as the birth of data science. This paper describes the birth of science by involving historical traces. The reflection of scientific development is starting from the foundation to become a scientific field, namely data science. It also illustrates the roadmap of a scientific indirectly.

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Section: Resultsmentioning

confidence: 99%

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confidence: 99%

The birth of a science

Nasution

2020

Hist. sci. technol.

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“…Partly adapted to computer technology offers different Quantum Computation or Quantum Information [177] and claims that the computer systems are more powerful than classical computers [311]. Meanwhile, the language of science and technology: mathematics, and computer science, brings forth the Data Science [312] as the language for understanding data [313], [314]. In particular, computer science is the only science that supports the industrial revolution entirely [315], including the industry 4.0 [316], [317], involving many recent developments such as the Web that allows searching-finding, retrieving-clustering, ranking, categorizing, and analyzing information [318].…”

Section: B Discussion: Accumulation and Spread -The Growth Overviewmentioning

confidence: 99%

Computer Science

Nasution¹,

Hidayat²,

Syah³

2022

International Journal on Advanced Science, Engineering and Information Technology

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Possible for science itself, conceptually, to have and will understand differently, let alone science also seen as technology, such as computer science. After all, science and technology are viewpoints diverse by either individual, community, or social. Generally, it depends on socioeconomic capabilities. So it is with computer science has become a phenomenon and fashionable, where based on the stream of documents, various issues arise in either its theory or implementation, adapting different communities, or designing curriculum holds in the education system. Generally, there are gaps between rich and poor, masculine and feminine, and basic sciences, engineering, and social sciences in accessing and using computer science. In particular, there have been various developments in hardware, software, and brain-ware from computer science in the application. There are recurring problems shortly, in the same or different places, both in developed and technologically lagging countries. Although computer science is still new, it has provided various innovations through research, which is proven by many documents. Therefore, following the growth of computer science -documents in the reputable indexed database, Scopus -there are clues for showing the trends. That is, dividing documents into three-time sessions: sloping, increasing and decreasing. That is by using a growth graphic. Then equip it with some parameters: topics and the weights from hit counts of databases. It gives the meaning as an interpretation to support the reviews. Therefore, this paper will provide a commentary related to that growth. It is for showing that despite the spread of studies, at the last time-session, the issues were always present simultaneously at the same time in accumulation. That is for describing a study title of computer science about what the world already has, going, and will understand about computer science. It is a view regarding its philosophy, basic science, applications, and technology as concepts and solutions that make computer science the primary foundation for skills and professions in the 21 st century through the education system. Therefore, other scientific fields such as informatics, computer engineering, information science, information technology, and data science, which are at the crossroads of computer science, are also scientific fields that raise different issues.

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Data Management as Emerging Problems of Data Science

Nasution

Syah

2022

Data Science With Semantic Technologies

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Data

Cited by 10 publications

References 50 publications

The birth of a science

The birth of a science

Computer Science

Data Management as Emerging Problems of Data Science

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