The Effect Of The Application Of Nomograph Pros On The Learning Outcomes Of Elementary School Students Materials Of Counting Intelligence Operations

Muh. Yazid, Muhammad Sururuddin, Baiq Yulia Kartika, Dina Apriana


The purpose of this study was to determine the effect of the application of Nomograph teaching aids on student learning outcomes. This research was conducted at grade IV. The method used in this study is an experimental method with a one-group pre-test-post-test design. The instrument used in this study was a mathematics learning outcome test in the form of an essay. The test result data were analyzed by means of the t-test on the final result (post-test). Based on the analysis of the research data, there is an effect of the application of Nomograph teaching aids on learning outcomes.


Nomograph props; Learning Outcomes and Integer

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Aleroev, T. (2020). Solving the Boundary Value Problems for Differential Equations with Fractional Derivatives by the Method of Separation of Variables. Mathematics, 8(11), 1877.

Aleroev, T. S., & Erokhin, S. V. (2019). Parametric Identification of the Fractional-Derivative Order in the Bagley–Torvik Model. Mathematical Models and Computer Simulations, 11(2), 219–225.

Arum, A., & Suprapto, N. (2021). Nomographic Technique Development on Global Warming Material for High School Student Grade Eleven of Literacy Class. International Journal of Active Learning, 6(1), 1–8.

Balanis, C. A. (2015). Antenna theory: analysis and design. John wiley & sons.

Bali, M. M. E. I., & Musrifah, M. (2020). The Problems of Application of Online Learning in the Affective and Psychomotor Domains During the Covid-19 Pandemic. Jurnal Pendidikan Agama Islam, 17(2), 137–154.

Besedovsky, N. (2018). Financialization as calculative practice: the rise of structured finance and the cultural and calculative transformation of credit rating agencies. Socio-Economic Review, 16(1), 61–84.

Bichurin, M., Petrov, V., Petrov, R., Tatarenko, A., Leontiev, V., & Lavrentieva, K. (2016). Nomograph method for predicting magnetoelectric coupling. Journal of Magnetism and Magnetic Materials, 412, 1–6.

Callaghan, L. C., & Walker, J. D. (2015). An aid to drug dosing safety in obese children: development of a new nomogram and comparison with existing methods for estimation of ideal body weight and lean body mass. Anaesthesia, 70(2), 176–182.

Ernest, P., Skovsmose, O., Van Bendegem, J. P., Bicudo, M., Miarka, R., Kvasz, L., & Moeller, R. (2016). The philosophy of mathematics education. Springer Nature.

Gravemeijer, K., Stephan, M., Julie, C., Lin, F.-L., & Ohtani, M. (2017). What mathematics education may prepare students for the society of the future? International Journal of Science and Mathematics Education, 15(1), 105–123.

Hine, G. S. C. (2015). Strengthening pre-service teachers’ mathematical content knowledge. Journal of University Teaching & Learning Practice, 12(4), 5.

Kim, D., & Bolger, M. (2017). Analysis of Korean elementary pre-service teachers’ changing attitudes about integrated STEAM pedagogy through developing lesson plans. International Journal of Science and Mathematics Education, 15(4), 587–605.

Kleinknecht, M., & Gröschner, A. (2016). Fostering preservice teachers’ noticing with structured video feedback: Results of an online-and video-based intervention study. Teaching and Teacher Education, 59, 45–56.

Koren, I. (2018). Computer arithmetic algorithms. AK Peters/CRC Press.

Krahenbuhl, K. S. (2016). Student-centered education and constructivism: Challenges, concerns, and clarity for teachers. The Clearing House: A Journal of Educational Strategies, Issues and Ideas, 89(3), 97–105.

Le Cornu, R. (2015). Key components of effective professional experience in initial teacher education in Australia. Australian Institute for Teaching and School Leadership, Melbourne.

Lesh, R. A., Hamilton, E., & Kaput, J. J. (2020). Foundations for the future in mathematics education. Routledge.

Liu, Z., Großschädl, J., Hu, Z., Järvinen, K., Wang, H., & Verbauwhede, I. (2016). Elliptic curve cryptography with efficiently computable endomorphisms and its hardware implementations for the internet of things. IEEE Transactions on Computers, 66(5), 773–785.

McKnight, K., O’Malley, K., Ruzic, R., Horsley, M. K., Franey, J. J., & Bassett, K. (2016). Teaching in a digital age: How educators use technology to improve student learning. Journal of Research on Technology in Education, 48(3), 194–211.

Mitchell, S., Mitchell, S. A., Oslin, J., & Griffin, L. L. (2020). Teaching sport concepts and skills: A tactical games approach. Human Kinetics Publishers.

Nieder, A. (2016). The neuronal code for number. Nature Reviews Neuroscience, 17(6), 366–382.

Nurhayanti, K., & Suprapto, P. A. (2018). The yajna-based ashram learning model in the formation of character. Proceedings, 1(1), 97–104.

Olofson, M. W., Swallow, M. J. C., & Neumann, M. D. (2016). TPACKing: A constructivist framing of TPACK to analyze teachers’ construction of knowledge. Computers & Education, 95, 188–201.

Patten, M. L., & Newhart, M. (2017). Understanding research methods: An overview of the essentials. Routledge.

Potente, S., Kettner, M., & Ishikawa, T. (2019). Time since death nomographs implementing the nomogram, body weight adjusted correction factors, metric and imperial measurements. International Journal of Legal Medicine, 133(2), 491–499.

Reimers, F. M., & Chung, C. K. (2019). Teaching and learning for the twenty-first century: Educational goals, policies, and curricula from six nations. Harvard Education Press.

Scriba, C. J., & Schreiber, P. (2015). 5000 years of geometry: Mathematics in history and culture. Birkhäuser.

Selvianiresa, D., & Prabawanto, S. (2017). Contextual teaching and learning approach of mathematics in primary schools. Journal of Physics: Conference Series, 895(1), 12171.

Sun, Z., Xie, K., & Anderman, L. H. (2018). The role of self-regulated learning in students’ success in flipped undergraduate math courses. The Internet and Higher Education, 36, 41–53.

Tutak, F. A., & Adams, T. L. (2015). A study of geometry content knowledge of elementary preservice teachers. International Electronic Journal of Elementary Education, 7(3), 301–318.

Wang, Q., Li, Q., Mi, R., Ye, H., Zhang, H., Chen, B., Li, Y., Huang, G., & Xia, J. (2019). Radiomics nomogram building from multiparametric MRI to predict grade in patients with glioma: a cohort study. Journal of Magnetic Resonance Imaging, 49(3), 825–833.

Williams, D. J., & Walker, J. D. (2015). A nomogram for calculation of the Revised Baux Score. Burns, 41(1), 85–90.

Willingham, D. T. (2021). Why don’t students like school?: A cognitive scientist answers questions about how the mind works and what it means for the classroom. John Wiley & Sons.

Wolff, C. E., van den Bogert, N., Jarodzka, H., & Boshuizen, H. P. A. (2015). Keeping an eye on learning: Differences between expert and novice teachers’ representations of classroom management events. Journal of Teacher Education, 66(1), 68–85.

Zhang, J., Pan, Z., Yang, J., Yan, X., Li, Y., & Lyu, J. (2019). A nomogram for determining the disease-specific survival in Ewing sarcoma: a population study. BMC Cancer, 19(1), 1–9.

Zwillinger, D. (2018). CRC standard mathematical tables and formulas. chapman and hall/CRC.



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