Open AccessExperiences of analysis ToolPak in Matrix Algebra
Author(s) -
Iyam Maryati,
Tina Sri Sumartini,
Mega Achdisty Noordyana,
Deddy Sofyan,
Sukanto Sukandar Madio
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1402/7/077087
Subject(s) - matrix (chemical analysis) , algebra over a field , matrix algebra , value (mathematics) , algebraic number , sample (material) , matrix analysis , mathematics , linear algebra , computer science , mathematics education , pure mathematics , statistics , mathematical analysis , chemistry , physics , eigenvalues and eigenvectors , geometry , quantum mechanics , chromatography
Analysis toolpak is very useful for a problem related with matrix material the purpose of this research article is to analyze the effectiveness of using the ToolPak analysis on matrix algebra. The method of this study is an experimental method with quasi-experimental design. The sample in this study took 27 students at the first years of the one at a private college in Indonesia. The results of processing data show that the value tcount equal to 9,207 and then the value (2-tailed) equal to 0,000 smaller than alpha 0.05 so that Ho is rejected. As the implication from this study the use of effective ToolPak analysis to improve students mathematical reasoning abilities in matrix algebraic material