The birth of a science

Keywords: Data science, mathematic, artificial intelligence, science-technology-humanities, engineering-economy/business-social

Abstract

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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Adang, A. S. (2019). Linking implementation of public policy and pilot airmanship to flight safety in Indonesia: A structural equation model. Open Transportation Journal, 13(1), 126‒133. http://doi.org/10.2174/1874447801913010126.

Anonim [no author name available]. (1824). Serie di occultazioni di stelle fisse dietro la luna per l’anno 1823 data dagli Astronomi delle Pie di Firenzc. Astronomische Nachrichten, 2(6), 93‒96.

Azmi, Z., Nasution, M. K., Zarlis, M., Mawengkang, H., & Efendi, S. (2019, June). Perceptron Partition Model to Minimize Input Matrix. In IOP Conference Series: Materials Science and Engineering (Vol. 536, No. 1, p. 012135). IOP Publishing. https://doi.org/10.1088/1757-899X/536/1/012135.

Barnes, C. W. (1961). A definition of science education: Curriculum research. Science Education, 45(5), 394‒396. https://doi.org/10.1002/sce.3730450507x.

Ben-David, D., & Loewy, M. (2000). Knowledge dissemination, capital accumulation, trade, and endogenous growth. Oxford Economic Papers, 52(4), 637‒650. Retrieved from https://www.jstor.org/stable/3488661.

Bergmann, G. (1950). A note on ontology. Philosophical Studies, 1(6), 89‒92. Retrieved from https://www.jstor.org/stable/4318096.

Bird, A. (1996). Squaring the circle: Hobbes on philosophy and geometry. Journal of the History of Ideas, 57(2), 217‒231. https://doi.org/10.2307/3654096.

Birkhoff, G., & Neumann, J. V. (1936). The logic of quantum mechanics. Annals of Mathematics, 37(4), 823‒843. https://doi.org/10.2307/1968621.

Bredon, G. E. (1993). General Topology. In Topology and Geometry (pp. 1‒62). New York: Springer.

Broadrick, K. (1950). The relationship of argument to syllogistic and experimental logic. Quarterly Journal of Speech, 36(4), 476‒482. https://doi.org/10.1080/00335635009381598

Bronzan, J. B., Kane, G. L., & Sukhatme, U. P. (1974). Obtaining real parts of scattering amplitudes directly from cross section data using derivate analyticity relations. Physics Letter B, 49(3), 272‒276. https://doi.org/10.1016/0370-2693(74)90432-8.

Bryman, A. (1989). Research methods and organization studies. London: Routledge. https://doi.org/10.4324/9780203359648.

Burrieza, A., & Yuste-Ginel, A. (2020). Basic beliefs and argument-based beliefs in awareness epistemic logic with structured arguments. Frontiers in Artificial Intelligence and Applications, 326, 123‒134. Retrieved from http://ebooks.iospress.nl/volumearticle/55364

Calvin, K., & Bond-Lamberty, B. (2018). Integrated human-earth system modeling – state of the science and future directions. Environmental Research Letters, 13(6), 063006. https://doi.org/10.1088/1748-9326/aac642.

Chatterjee, K., & Bhuyan, P. (2020). On the estimation of population size from a post-stratified two-sample capture-recapture data under dependence. Journal of Statistical Computation and Simulation, 90(5), 819‒838. https://doi.org/10.1080/00949655.2019.1707832

Chopra, D., & Kafatos, M. C. (2017). You are the universe: Discovering your cosmic self and why it matters. Harmony.

Clauser, J. F., Horne, M. A., Shimony, A., & Holt, R. A. (1969). Proposed experiment to test local hidden-variable theories. Physical Review Letters, 23(15), 880‒884. https://doi.org/10.1103/PhysRevLett.23.880.

Cleveland, W. S. (2001). Data science: An action plan for expanding the technical areas of the field of statistics. International Statistical Review, 69(1), 21‒26. https://doi.org/10.1111/j.1751-5823.2001.tb00477.x.

Cobb, G. W., & Moore, D. S. (1997). Mathematics, statistics, and teaching. American Mathematical Monthly, 104(9), 801‒823. https://doi.org/10.1080/00029890.1997.11990723.

Comroe Jr., J. H. (1977). Premature science and immature lungs. Part II. Chemical warfare and the newly born. American Review of Respiratory Disease, 116(2), 311‒323.

Delle Monache, M. L. (2016). Crowd dynamics evacuations: The roles of shape optimization and real-time computational models: Comment on “Human behaviours in evacuation crowd dynamics: From modelling to “big data” toward crisis management” by Nicola Bellomo et al. Physics of Life Reviews, 18, 40‒41. Retrieved from https://pubmed.ncbi.nlm.nih.gov/27575515/

Deutsch, T., Reimes, J., Fiebig, A., & Oehler, M. (2019). Releance of sitmuli and test environment in the perceptual evaluation of car audio system. Applied Acoustics, 156, 404‒415. https://doi.org/10.1016/j.apacoust.2019.07.027.

Dhar, V. (2013). Data science and prediction, Communications of the ACM, 56(12), 64‒73. https://doi.org/10.1145/2500499.

Dionisio, C., & Casola, A. (2003). Innovative engineering processes and production methodologies to reduce development cost of future satellites. Acta Astronautica, 52(9‒12), 839‒847. https://doi.org/10.1016/S0094-5765(03)00064-X

Dress, A. W., & Havel, T. F. (1993). Distance geometry and geometric algebra. Foundations of Physics, 23(10), 1357‒1374. https://doi.org/10.1007/BF01883783.

Erickson, T. D., & Mattson, M. E. (1981). From words to meaning: A semantic illusion. Journal of Verbal Learning and Verbal Behaviour, 20(5), 540‒551. https://doi.org/10.1016/S0022-5371(81)90165-1.

Evans, G. (2002). Between the global and the local there are regions, culture areas, and national states: A review article. Journal of Southeast Asian Studies, 33(1), 147‒161. Retrieved from http://www.jstor.org/stable/20072392.

Faure, M., Trap, P., Lin, W., Monié, P., & Bruguier, O. (2007). Polyorogenic evolution of the Paleoproterozoic Trans-North China Belt – New insights from the Lüliangshan-Hengshan-Wutaishan and Fuping massifs. Episodes, 30(2), 96‒107. Retrieved from https://hal-insu.archives-ouvertes.fr/insu-00152972

Fettweis, A. (2005). Commemorating the einstein year: can multidimensional systems contribute to the foundations of physics?. In The Fourth International Workshop on Multidimensional Systems, 2005. NDS 2005. (pp. 1‒2). IEEE. https://doi.org/ 10.1109/NDS.2005.195320.

Gandz, S. (1936). The Sources of Al-khowārizmī’s Algebra. Osiris, 1, 263‒277. https://doi.org/10.1086/368426.

Gao, F., Chen, B. C., & Yang, B. O. (1990). Study on an all round position of walking vehicle. Transactions of the Chinese Society of Agriculture Machinery, 21(4), 21‒25.

Gentle, J. E., Härdle, W. K., & Mori, Y. (Eds.). (2012). Handbook of computational statistics: concepts and methods. Springer Science & Business Media. https://doi.org/10.1007/978-3-642-21551-3.

Geroski, P. A. (2000). Models of technology diffusion. Research Policy, 29(4‒5), 603‒625. https://doi.org/10.1016/S0048-7333(99)00092-X.

Gillen, J. J., Freeman, M., & Tootell, H. (2017). Human behavior in online social networks. In 2017 IEEE International Symposium on Technology and Society (ISTAS) (pp. 1‒6). IEEE. https://doi.org/10.1109/ISTAS.2017.8318979.

Godlovitch, S. (1969). Universal, basic and instantial statements in the logic of scientific discovery. British Journal for the Philosophy of Science, 20(4), 355‒356. Retrieved from https://philpapers.org/rec/GODUBA.

Goldthorpe, J. H. (2001). Causation, statistics, and sociology. European Sociological Review, 17(1), 1‒20. https://doi.org/10.1093/esr/17.1.1.

Gorenflo, R., Mainardi, F., Moretti, D., & Paradisi, P. (2002). Time fractional diffusion: A discrete random walk approach. Nonlinear Dynamics, 29(1‒4), 129‒143. https://doi.org/10.1023/A:1016547232119.

Gorgone, J., Davis, G. B., Valacich, J. S., Topi, H., Feinstein, D. L., & Longenecker, H. E. (2003). IS 2002 model curriculum and guidelines for undergraduate degree programs in information systems. Communications of the Association for Information Systems, 11(1), 1. https://doi.org/10.17705/1CAIS.01101.

Gorgone, J. T., Gray, P., Stohr, E. A., Valacich, J. S., & Wigand, R. T. (2006). MSIS 2006: model curriculum and guidelines for graduate degree programs in information systems. Acm Sigcse Bulletin, 38(2), 121‒196. https://doi.org/10.1145/1138403.1138448.

Graham, R. L., Knuth, D. E., Patashnik, O., & Liu, S. (1989). Concrete mathematics: A foundation for computer science. Computers in Physics, 3(5), 106‒107. https://doi.org/10.1063/1.4822863.

Grant, A. (2016). Originals: How non-conformists change the world. London: W. H. Allen.

Grayson, R. J. (1981). Concepts of general topology in constructive mathematics and in sheaves. Annals of Mathematical Logic, 20(1), 1‒41. https://doi.org/10.1016/0003-4843(82)90010-9.

Green, P. E., Johnson, R. M., & Neal, W. D. (2003). The Journal of Marketing Research: Its initiation, growth, and knowledge dissemination. Journal of Marketing Research, 40(1), 1‒9. https://doi.org/10.1007/978-0-387-28692-1_12.

Gunawan, D., Amalia, & Najwan, A. (2017). Improving data collection on article clustering by using distributed focused crawle. Data Science: Journal of Computing and Applied Informatics, 1(1), 1‒12. https://doi.org/10.32734/jocai.v1.i1-82

Gupta, U. G. (1997). Using citation analysis to explore the intelectual base, knowledge dissemination, and research impact of interface (1970‒1992). Interfaces, 27(2), 85‒101. https://doi.org/10.1287/inte.27.2.85.

Hamsal, M., & Zein, F. A. (2019). Pilot fatigue risk analysis: Conceptual study at flight operation of Garuda Indonesia’s Boeing 737 Pilots. IOP Conference Series: Materials Science and Engineering, 598(1), 012040. https://doi.org/10.1088/1757-899X/598/1/012040.

Hancock, J. (1837). Terms of science in natural history, preservation of skin. The Lancet, 28(728), 734‒835. https://doi.org/10.1016/S0140-6736(02)79483-X

Hanneborg, K. (1966). New concepts in ontology. Inquiry (United Kingdom), 9(1‒4), 401‒409. https://doi.org/10.1080/00201746608601475

Harrop, R. (1956). On disjunctions and existential statements in intuitionistic system of logic. Mathematische Annalen, 132(4), 347‒361. https://doi.org/10.1007/BF01360048

Hayati, R., Basyuni, M., Afandi, D., Arifianto, D., Bimantara, Y., & Syahputra, I. (2019). Isolation and amplification DNA of Elaesis guineensis from Bangun Bandar Plantation, North Sumatra, IOP Conference Series: Earth and Environmental Science, 305(1), 012039. https://doi.org/10.1088/1755-1315/305/1/012039

Hosni, A. I. E., Li, K., & Ahmad, S. (2020). Minimizing rumor influence in multiplex online social networks based on human individual and social behaviours. Information Sciences, 512, 1458‒1480. https://doi.org/10.1016/j.ins.2019.10.063.

Ishihara, T., & Sofronis, P. (2018). Focus on carbon-neutral energy science and technology. Science and Technology of Advanced Materials, 19(1), 484‒485. https://doi.org/10.1080/14686996.2018.1476219.

Kac, M., & Ulam, S. M. (1968). Mathematics and logic. New York and London: Praeger. https://doi.org/10.2307/3612126.

Kaplan, A. (1998). The conduct of inquiry. New York: Routledge. https://doi.org/10.4324/9781315131467.

Kara, A., Schwentick, T., & Zeume, T. (2010). Temporal logics on words with multiple data values. Leibniz International Proceedings in Informatics LIPIcs, 8, 481‒492. Retrieved from https://drops.dagstuhl.de/opus/volltexte/2010/2888/pdf/42.pdf.

Karanikolas, N., & Liaramantzas, A. (2017). Affiance computer science and machining technology for cehap and efficient solar energy. ACM International Conference Proceeding Series, Part F132523. https://doi.org/10.1145/3139367.3139445 .

Karbasian, H., & Johri, A. (2020). Insights for Curriculum Development: Identifying Emerging Data Science Topics through Analysis of Q&A Communities. In Proceedings of the 51st ACM Technical Symposium on Computer Science Education (pp. 192‒198). https://doi.org/10.1145/3328778.3366817

Kempson, R. M. (1988). Logical form: The grammar cognition interface. Journal of linguistics, 24(2), 393‒431. Retrieved from http://www.jstor.org/stable/4175950

Keyfitz, N., & Robinson, H. L. (1949). The Canadian sample for labour for and other population data. Population Studies, 2(4), 427‒443. Retrieved from https://www.tandfonline.com/doi/abs/10.1080/00324728.1949.10416666 .

King, D. A. (2004). Climate change science: Adapt, mitigate, or ignore? Science, 303(5655), 176‒177. https://doi.org/10.1126/science.1094329

Krystina, A. (2020). A text analysis of data-science career opportunities and US iSchool curriculum. Journal of Education for Library and Information Science, 61(2), 270‒293. https://doi.org/10.3138/jelis.2018-0067.

Kroeber, A. L., & Kluckhohn, C. (1952). Culture: a critical review of concepts and definitions. Papers. Peabody Museum of Archaeology & Ethnology, Harvard University.

Kuhn, H. W. (1960). Some combinatorial lemmas in topology. IBM Journal of Research and Development, 4(5), 518‒524. https://doi.org/10.1147/rd.45.0518

Kuratowski, K. (1972). Introduction to set theory and topology. Pergamon Press.

Kürbis, N. (2019). An argument for minimal logic. Dialectica, 73(1‒2), 31‒63. https://doi.org/10.1111/1746-8361.12267

Kurniawan, W., Pathoni, H., Muliawati, L., Kurniawan, D. A., Romadona, D. D., Ningsi, A. P., & Dari, R. W. (2020). Relationship of science process skills and critical thinking of students in physics subject. Universal journal of educational research, 8(11), 5581‒5588. https://doi.org/10.13189/ujer.2020.081162.

Kyrö, P., & Kansikas, J. (2005). Current state of methodology in entrepreneurship research and some expectations for the future. Entrepreneurship Research in Europe: Outcomes and Perspective, 121‒149. https://doi.org/10.4337/9781845424572.00014

Lathan, R. G. (1856). On the word distributed, as used in logic. Transaction of the Philological Society, 3(1), 190‒195. https://doi.org/10.1111/j.1467-968X.1856.tb00977.x .

Laufer, M. (2019). A broad definition of science. Interciencia, 44(7), 375.

Lausen, B., Krolak-Schwerdt, S., & Böhmer, M. (Eds.). (2015). Data science, learning by latent structures, and knowledge discovery (Vol. 48). Springer. Retrieved from https://www.springer.com/gp/book/9783662449820.

Lederer, A., Capone A., Umlauft, J., & Hirche, S. (2020). How training data impacts performance in learning-based control. IEEE Control Systems Letters, 5(3), 905‒910.

Lee, R. M. (1987). Temporal reasoning – Past and Future. Proceedings of the Hawaii International conference on system science, 3, 455‒462.

Leek, J. (2013). The key word in “data science” is not data, it is science. Simply statistics, 12.

Leidig, P. M., & Cassel, L. (2020). ACM Taskforce efforts on computing competencies for undergraduate data science curricula. Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE, 519‒520. https://doi.org/10.1145/3341525.3393962 .

Lennartson, B., Liang, X., & Noori-Hosseini, M. (2020). Efficient Temporal Logic Verification by Incremental Abstraction. In 2020 IEEE 16th International Conference on Automation Science and Engineering (CASE) (pp. 894‒899). IEEE. https://doi.org/10.1109/CASE48305.2020.9216950.

Lewis, D. D. (1998). Naive (Bayes) at forty: The independence assumption in information retrieval. European conference on machine learning (pp. 4‒15). Berlin, Heidelberg: Springer. https://doi.org/10.1007/BFb0026666 .

Li, X., & Wáng, Y. N. (2020). A logic of knowledge and belief based on abstract arguments. International conference on logic and argumentation (pp. 116‒130). Cham: Springer. https://doi.org/10.1007/978-3-030-44638-3_8.

Liengme, B. V. (2015). SMath for physics. Morgan & Claypool Publishers.

Lin, T. M., & Liao, C. W. (2008). Knowledge dissemination of word-of-mouth research: citation analysis and social network analysis. Libri, 58(4), 212‒223. https://doi.org/10.1515/libr.2008.022 .

Liu, A. (2004). Transcendental data: Toward a cultural history and aesthetics of the new encoded discourse. Critical Inquiry, 31(1), 49‒84.

Lyell, C. (1847). Principles of Geology: or, the Modern Changes of the Earth and its Inhabitants Considered as Illustrative of Geology. London: J. Murray.

Ma, X. L., Liu, B. F., & Xu, S. (2013). Some Applications of the causal statement logic programming in machine language. Applied Mechanics and Materials (Vol. 433, pp. 574‒578). Trans Tech Publications Ltd. https://doi.org/10.4028/www.scientific.net/AMM.433-435.574.

Marlasari, R., Nashiruddin, M. I., & Adriansyah, N. M. (2019). A Survey of In-Flight Connectivity Implementation in Indonesia. In 2019 IEEE Asia Pacific Conference on Wireless and Mobile (APWiMob) (pp. 58‒63). IEEE. https://doi.org/10.1109/APWiMob48441.2019.8964217 .

Martin, U. (2005). Panelist position statement: Logic and models in computer science. Philosophical Transaction of the Royal Society A: Mathematical, Physical and Engineering Sciences, 363(1835), 2397‒2399. https://doi.org/10.1098/rsta.2005.1654.

Manuri, S., Brack, C., Rusolono, T., Noor’an, F., Verchot, L., Maulana, S. I., ... & Budiman, A. (2017). Effect of species grouping and site variables on aboveground biomass models for lowland tropical forests of the Indo-Malay region. Annals of forest science, 74(1), 23. https://doi.org/10.1007/s13595-017-0618-1.

Martineau, C., Traphagen, S., & Sparkes, T. C. (2013). A guided inquiry methodology to achieve authentic science in a large undergraduate biology course. Journal of Biological Education, 47(4), 240‒245. https://doi.org/10.1080/00219266.2013.764345 .

Martorell, S., Sánchez, A., Carlos, S., & Serradell, V. (2002). Comparing effectiveness and efficiency in technical specifications and maintenance optimization. Reliability Engineering and System Safety, 77(3), 281‒289. https://doi.org/10.1016/S0951-8320(02)00061-3

Mayer, C., & Dänekas, C. (2013). Smart Grids–die Bedeutung der Informatik für die zukünftige Energieversorgung. Informatik-Spektrum, 36(1), 78‒89. https://doi.org/10.1007/s00287-012-0636-1.

McCarthy, T. A., (1972). Logic, mathematics, and ontology in husserl. Journal of the British Society for Phenomenology, 3(2), 158‒164. https://doi.org/10.1080/00071773.1972.11006250.

McMaster, K., Rague, B., Sambasivam, S., & Wolthuis, S. (2015). Where’s the ‘data’ in mathematics and computer science? ICSIT 2018 – 9th International Conference on Society and Informormation Technologies, Proceedings, 73‒78.

Menadue, C. B., Giselsson, K., & Guez, D. (2020). An empirical revision of the definition of science fiction: it is all in the techne. SAGE Open, 10(4), 2158244020963057. https://doi.org/10.1177/2158244020963057

Mike, K. (2020). Data science education: Curriculum and pedagogy. ICER 2020 – Proceedings of the 2020 ACM Conference on International Computing Education Research, 324‒225. https://doi.org/10.1145/3372782.3407110

Morales-Garzón, A., Gómez-Romero, J., & Martin-Bautista, M. J. (2020, June). A word embedding model for mapping food composition databases using fuzzy logic. In International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (pp. 635‒647). Cham: Springer. https://doi.org/10.1007/978-3-030-50143-3_50.

Moretti, F. (2000). Conjectures on world literature. New Left Review, 1, 54‒68.

Munir, E., Hattori, T., & Shimada, M. (2002). Purification and characterization of isocitrate lyase from the wood-destroying basidiomycete Fomitopsis. Archives of Biochemistry and Biophysics, 399(2), 225‒231. https://doi.org/10.1006/abbi.2002.2770.

McCabe, T. J. (1976). A complexity measure. IEEE Transactions on Software Engineering, SE-2(4), 308‒320. https://doi.org/10.1109/TSE.1976.233837.

Nasution, M. K. M. (1990). Topologi [Topology]. Matematika – Mathematics, 3(2) [in Bahasa].

Nasution, M. K. M. (2012). The ontology of knowledge based optimization. Proceedings of International/National Seminar Matematika dan Terapan (SiManTap). arXiv:1207.5130.

Nasution, M. K. M., & Noah, S. A. (2012). Information retrieval model: A social network extraction perspective. In 2012 International Conference on Information Retrieval & Knowledge Management (pp. 322-326). IEEE. https://doi.org/10.1109/InfRKM.2012.6204999

Nasution, M. K. M. (2013). Metodologi [Methodology]. Penalaran – Reasoning, 1. [in Bahasa].

Nasution, M. K. M. (2017a). Ontologi [Ontology]. Ontologi dan Taksonomi Informasi – Ontology and Taxonomy of Information, 1 [in Bahasa].

Nasution, M. K. M. (2017b). Modelling and simulation of search engine. Journal of Physics: Conference Series, 801(1), 012078. https://doi.org/10.1088/1742-6596/801/1/012078

Nasution, M. K. M. (2018a). Logika: Suatu pengantar [Logic: An introduction]. Matematika Diskrit – Discrete Mathematics, 1(1) [in Bahasa].

Nasution, M. K. M. (2018b). Konsepsi [Conception]. Matematika Diskrit – Discrete Mathematics, 1(2) [in Bahasa].

Nasution, M. K. M. (2018c). Logika: Molekular [Logic: Molecular]. Matematika Diskrit – Discrete Mathematics, 1(3) [in Bahasa].

Nasution, M. K. M. (2018d). Pernyataan bersyarat [Conditional statement]. Matematika Diskrit – Discrete Mathematics, 1(5) [in Bahasa].

Nasution, M. K. M. (2018e). Perumusan logika [Logic formulation]. Matematika Diskrit – Discrete Mathematics, 1(6) [in Bahasa].

Nasution, M. K. M. (2018f). Kategori [Category]. Matematika Diskrit – Discrete Mathematics, 1(4) [in Bahasa].

Nasution, M. K. M. (2018g). Ontology. Journal of Physics: Conference Series (Vol. 1116, No. 2, p. 022030). IOP Publishing. https://doi.org/10.1088/1742-6596/1116/2/022030.

Nasution, M. K. M., et. al. (2018). Talenta. Journal of Physics: Conferene Series, 1116(2), 022033. https://doi.org/10.1088/1742-6596/1116/2/022033.

Nasution, M. K. M. (2019). Kelahiran Sains [The science birth]. Translasi ‒ Translation, 4 [in Bahasa].

Nasution, M. K., Aulia, I., & Elveny, M. (2019). Data. Journal of Physics: Conference Series (Vol. 1235, No. 1, p. 012110). IOP Publishing. https://doi.org/10.1088/1742-6596/1235/1/012110.

Nasution, M. K. M. (2020a). Mathematical philosophy. Journal of Research in Mathematics Trends and Technology (JoRMTT), 2(2), 45‒60. https://doi.org/10.32734/jormtt.v2i2.4678.

Nasution, M. K. M. (2020b). Methodology. Journal of Physics: Conference Series, 1566, 012031. https://doi.org/10.1088/1742-6596/1566/1/012031

Nasution, M. K., Sitompul, O. S., & Nababan, E. B. (2020). Data science. Journal of Physics: Conference Series (Vol. 1566, No. 1, p. 012034). IOP Publishing. https://doi.org/10.1088/1742-6596/1566/1/012034.

Nota, G., Orefice, S., Pacini, G., Ruggiero, F., & Tortora, G. (1993). Legality concepts for three-valued logic programs. Theoretical Computer Science, 120(1), 45‒68. https://doi.org/10.1016/0304-3975(93)90244-N.

Novoselov, V. G., & Fadeev, I. L. (1982). Comparison of statements of the problem of reliability synthesis of discrete devices in the logic-design stage. Automatic Control and Computer Science, 16(4), 69‒70.

Novikov, A. M., & Novikov, D. A. (2013). Research methodology: From philosophy of science to research design (Vol. 2). CRC Press.

Nuruddin, M., Noor, C. N., & Abidin, A. Z. (2020). Exploring the relationship between self-efficacy and mathematics performance in integral calculus among applied science university students. Journal of Physics: Conference Series (Vol. 1496, No. 1, p. 012018). IOP Publishing. https://doi.org/10.1088/1742-6596/1496/1/012018.

Nuykina, E. Y. (2020). Some basic mathematical tools’ principles for modeling economic processes. International Scientific and Practical Conference (pp. 340‒347). Cham: Springer. https://doi.org/10.1007/978-3-030-53277-2_41.

Ohrstrom, P., & Klarlund, N. (1986). The logic of tensed statement in english-an application of logic programming. Computer, 728, 12‒19.

Oliinyk, O. (2020). The role of V. Lihin’s scientific publications in international journals. History of Science and Technology, 10(1(16), 62-71. https://doi.org/10.32703/2415-7422-2020-10-1(16)-62-71

Onrizal, O. (2019). Diversity of understorey at Singkil Swamp Wildlife Reserve. IOP Conference Series: Earth and Environmental Science , 260(1), p. 012069. https://doi.org/10.1088/1755-1315/260/1/012069.

Onrizal, O., Amelia, R., Amri, K., Sulistiyono, N., & Mansor, M. (2019). Stand structure and diversity of restored mangroves at abandoned pond in eastern coast of North Sumatra. IOP Conference Series: Earth and Environmental Science , 305(1), p. 012050. https://doi.org/10.1088/1755-1315/305/1/012050.

Oyamada, M. (2019). Extracting Feature Engineering Knowledge from Data Science Notebooks. 2019 IEEE International Conference on Big Data (Big Data) (pp. 6172‒6173). IEEE. https://doi.org/10.1109/BigData47090.2019.9006522

Pagan, N., & Dörfler, F. (2019). Game theoretical inference of human behavior in social networks. Nature communications, 10(1), 1-12. https://www.nature.com/articles/s41467-019-13148-8

Peterson, C., & Seligman, M. E. (2004). Character strenths and virtues: A handbook and classification. Washington: Oxford University Press.

Pop, F. (2014). High performance numerical computing for high energy physics: A new challenge for big data science. Advances in High Energy Physics, 2014. https://doi.org/10.1155/2014/507690

Priestley, J., & McGrath, R. J. (2019). The evolution of data science: A new mode of knowledge production. International Journal of Knowledge Management, 15(2), 97‒109. https://doi.org/10.4018/IJKM.2019040106.

Quadrat, J.-P., Lasserre, J. B., & Hiriart-Urruty, J.-B. (2001). Pythagoras’ theorem for areas. American Mathematical Monthly, 108(6), 549‒551. https://doi.org/10.4018/IJKM.2019040106.

Rahmawati, N., & Basyuni, M. (2019). Changes in some characters of soybean leaves inoculated with mycorrhiza in salinity stress. In IOP Conference Series: Earth and Environmental Science (Vol. 260, No. 1, p. 012151). IOP Publishing. https://doi.org/10.1088/1755-1315/260/1/012151.

Rawlins, F. I. (1949). Methodology of science in the service of the arts. Nature 163(4141), 390‒393. https://doi.org/10.1038/163390a0.

Richards, W. T. (1928). A definition of science. Journal of Chemical Education, 5(7), 874‒875. https://doi.org/10.1021/ed005p874.

Shamos, M. I. (1976). Geometry and statistics: Problems at the interface. Carnegie-Mellon univ Pittsburgh pa dept of computer science.

Simmel, G. (2020). On the methodology of social science. Journal of Contextual Economics-Schmollers Jahrbuch, 138(3), 199‒212.

Sion, M. (1958). On general minimax theorem. Pacific Journal of Mathematics, 8(1), 171‒176. https://msp.org/pjm/1958/8-1/pjm-v8-n1-s.pdf#page=173

Solis, E. (2020). Finding U.S. health data and statistics: A guide for social science researchers. Journal of Business and Finance Librarianship, 1‒9. https://doi.org/10.1080/08963568.2020.1847557.

Stalnaker, R. C., & Thomason, R. H. (1968). Abstraction in First-Order Modal Logic. Theoria, 34(3), 203‒207. https://doi.org/10.1111/j.1755-2567.1968.tb00351.x.

Stock, W. G., & Stock, M. (2013). Handbook of Information Science. De Gruyter Saur). Berlin, Boston: Walter de Gruyter.

Stoker, G. (1998). Governance as theory: five propositions. International Social Science Journal, 50(155), 27‒28.

Suratno, T. (2012). Lesson study in Indonesia: An Indonesia University of education experience. International Journal for Lesson and Learning Studies, 1(3), 196‒215. https://doi.org/10.1108/20468251211256410

Taylor, C. (1959). Ontology. Philosophy, 34(129), 125‒141. https://doi.org/10.1017/S003181910004746X

Texley, J. T., & Norman, J. (1984). The development of a group test of formal operational logic in the content area of environmental science. Journal of Research in Science Teaching, 21(6), 589‒597. https://doi.org/10.1002/tea.3660210605

Topi, H., Valacich, J. S., Wright, R. T., Kaiser, K. M., Nunamaker Jr, J. F., Sipior, J. C., & De Vreede, G. J. (2010). Curriculum guidelines for undergraduate degree programs in information systems. ACM/AIS task force.

Topi, H., Karsten, H., Brown, S. A., Alvaro, J., Donnellan, B., Shen, J., ... & Thouin, M. F. (2017). MSIS 2016 global competency model for graduate degree programs in information systems. Communications of the Association for Information Systems, 40(18). https://doi.org/10.17705/1CAIS.04018

Thorpe, W. H. (1930). Biological races in insects and allied groups. Biological Reviews, 5(3), 177‒212. https://doi.org/10.1111/j.1469-185X.1930.tb00616.x

Usami, Y., Saburo, H., Inaba, S., & Kitaoka, M. (1998). Reconstruction of extinct animals in the computer. In Proceedings of the sixth international conference on Artificial life (pp. 173‒177). MIT Press.

Usó-Doménech, J. L., Nescolarde-Selva, J. A., & Gash, H. (2018). Universe of discourse and existence. Mathematics, 6(11), 272. https://doi.org/10.3390/math6110272

Vedula, S. S., & Hager, G. D. (2020). Surgical data science: The new knowledge domain. Innovative Surgical Sciences, 2(3), 109‒121. https://doi.org/10.1515/iss-2017-0004

Vygotsky, L. S. (1964). Thought and language. The MIT Press.

Warnock, M. (1976). Imagination. University of California Press.

Wilson, E. O. (1999). The natural sciences. Consilience: The unity of knowledge, 49‒71.

Yeshurun, S. (1976). A problem of logic and conscience in mathematical education. International Journal of Mathematical Education in Science and Technology, 7(1), 55‒58. https://doi.org/10.1080/0020739760070108 .

Yuen, T. T., Reyes, M., & Zhang, Y. (2019). Introducing computer science to high school students through logic programming. Theory and Practice of Logic Programming, 19(2), 204‒228. https://doi.org/10.1017/S1471068418000431

Zanotto, S. R., Vanz, S. A. D. S., & Stumpf, I. R. C. (2017). Fator de difusão: uma medida da difusão do conhecimento através das citações. Investigación bibliotecológica, 31(SPE), 101‒122. https://doi.org/10.22201/iibi.24488321xe.2017.nesp1.57887


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2020-12-12
How to Cite
Nasution, M. K. M. (2020). The birth of a science. History of Science and Technology, 10(2), 315-338. https://doi.org/10.32703/2415-7422-2020-10-2-315-338