KEMAMPUAN PEMECAHAN MASALAH MAHASISWA PADA APLIKASI TURUNAN (MAKSIMUM DAN MINIMUM) BERBANTUAN GEOGEBRA

N. Rahmawati, Arie Purwa Kusuma, Arfatin Nurrahmah
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Abstract

Students' problem solving skills are still severely lacking, especially in derivative application materials (maximum and minimum). The purpose of this study is to find out how students' problem solving skills in derivative applications (maximum and minimum) are geogebra-assisted. The method used in this study is qualitative research method, with the focus of the research is the problem solving ability of students in derivative applications (maximum and minimum) assisted by geogebra. The subjects in this study were students of STKIP Kusuma Negara Jakarta who had attended the course or who were following the calculus I course, namely there were 6 students with purposive sampling techniques. The instrument in this study is the researchers themselves, tests to measure problem solving skills and interview guidelines. Data collection techniques are conducted with interviews, obsrevation and documentation. Data analysis techniques performed with data reduction steps, data display, data interpretation, conclusion drawing/verification. Presentation of data The results of the study showed that there is an improvement in student learning outcomes with the existence of mathematical modeling, especially in students with moderate and low problem solving skills, where students have been able to meet four indicators of problem solving, because students still need help in turning problems in problems into mathematical forms. And students with low problem solving skills only meet two problem solving indicators, because students must strive to understand the problems contained in the problem, then need to be directed in order to turn the problem into a form of mathematics
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学生解决问题的能力仍然严重缺乏,特别是在衍生应用材料(最大值和最小值)方面。本研究的目的是找出学生在衍生应用(最大值和最小值)的解题技巧如何被地理坐标辅助。本研究采用的方法是定性研究方法,重点研究学生在geogebra辅助下的导数应用(最大值和最小值)解题能力。本研究的研究对象为雅加达STKIP Kusuma Negara课程的在校生或正在学习微积分I课程的在校生,即6名采用目的抽样技术的在校生。本研究的工具是研究人员自己,测试来衡量解决问题的能力和面试指南。数据收集技术是通过访谈、观察和记录进行的。数据分析技术包括数据简化步骤,数据显示,数据解释,结论绘制/验证。研究结果表明,随着数学建模的存在,学生的学习成果有所改善,特别是在解决问题能力中等和较低的学生中,学生已经能够满足解决问题的四个指标,因为学生在将问题中的问题转化为数学形式方面仍然需要帮助。而解决问题能力低的学生只满足两个解决问题的指标,因为学生必须努力理解问题中包含的问题,然后需要指导才能将问题转化为数学形式
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