Yanuar Hery Murtianto
Sutrisno Sutrisno
Nizaruddin Nizaruddin
Muhtarom Muhtarom


Rapid development of technology for the past two decades has greatly influenced mathematic learning system. Mathematica software is one of the most advanced technology that helps learn math especially in Geometry. Therefore this research aims at investigating the effectiveness of analytic geometry learning by using Mathematica software on the mathematical abstraction ability, motivation, and independence of students. This research is a quantitative research with quasi-experimental method. The independent variable is learning media, meanwhile the dependent variables are students’ mathematical abstraction ability, motivation, and independence in learning. The population in this research was the third semester students of mathematics education program and the sample was selected using cluster random sampling. The samples of this research consisted of two distinct classes, with one class as the experimental class was treated using Mathematica software and the other is the control class was treated without using it. Data analyzed using multivariate, particularly Hotelling’s T2 test. The research findings indicated that learning using Mathematica software resulted in better mathematical abstraction ability, motivation, and independence of students, than that conventional learning in analytic geometry subject.


Analytic Geometry; Learning Independence; Learning Motivation; Mathematica; Mathematical Abstraction

Full Text:



Budiyono (2003). Educational research methodology. Surakarta: Sebelas Maret University Press.

Gocheva (2009). Introduction into system mathematica. Bulgaria: Express Gabrovo.

Hannula, M. S. (2006). Motivation in mathematics: Goals reflected in emotions. Educational studies in mathematics, 63(2), 165-178.

Kapustina, T. V., Popyrin, A. V., & Savina, L. N. (2015). Computer support of interdisciplinary communication of analytic geometry and algebra. International Electronic Journal of Mathematics Education, 10(3), 177-187.

Listyani, E. (2006). Efforts to increase achievement and independence learning differential calculus with mathematica software on mathematics study program students FMIPA UNY. Yogyakarta: FMIPA UNY.

Malinova, A. (2010). Teaching university-level mathematics using mathematica. Bulgaria: Plovdiv.

Muhtarom, M., Juniati, D., & Siswono, T. Y. E. (2017a). Exploring beliefs in a problemsolving process of prospective teachers’ with high mathematical ability. Global Journal of Engineering Education, 19(2), 130-136.

Muhtarom, M., Juniati, D., & Siswono, T. Y. (2017b). Consistency and inconsistency of prospective teachers’ beliefs in mathematics, teaching, learning and problem solving. In AIP Conference Proceedings, 1868(1), 050014.

Muhtarom, M., Murtianto, Y. H., & Sutrisno, S. (2017). Thinking process of students with high-mathematics ability (A study on QSR NVivo 11-assisted data analysis). International Journal of Applied Engineering Research, 12(17), 6934-6940.

Nizaruddin, N., Muhtarom, M., & Sugiyanti, S. (2017). Improving students’ problem-solving ability in mathematics through game-based learning activities. World Transaction on Engineering and Technolgy Eduction, 15(2), 102-107.

Pintrich, P. R. (2003). A motivational science perspective on the role of student motivation in learning and teaching contexts. Journal of educational Psychology, 95(4), 667-686.

Pantiwati, Y., & Husamah, H. (2017). Self and peer assessments in active learning model to increase metacognitive awareness and cognitive abilities. International Journal of Instruction, 10(4), 185-202.

Rachvelishvili, N. (2017). Achievement motivation toward learning english language in modern educational context of georgia. Problems of Education in the 21st Century, 75(4), 366-374.

Rencher, A. C. (2002). Methods of multivariate analysis. Canada: John Willey & Sons. Inc. Publications.

Sunandar, S., Murtianto, Y. H., & Sutrisno, S. (2015). Development of teaching-assisted software mathematica in developing student mathematics representation ability. Semarang: Universitas PGRI Semarang.

Vosler, D. (2009). Exploring analytic geometry with mathematica. Boston: Academic Press.

DOI: https://doi.org/10.22460/infinity.v8i2.p219-228

Article Metrics

Abstract view : 767 times
PDF - 324 times


  • There are currently no refbacks.

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.