Proceedings of the 7th Mathematics, Science, and Computer Science Education International Seminar, MSCEIS 2019, 12 October 2019, Bandung, West Java, Indonesia

Research Article

The Profile Analysis of Problem-Solving Skills on Work and Energy Material Using "Multiple-Ways of Rosengrant"

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  • @INPROCEEDINGS{10.4108/eai.12-10-2019.2296486,
        author={V  Vidyawati and P  Sinaga and L  Hasanah},
        title={The Profile Analysis of Problem-Solving Skills on Work and Energy Material Using "Multiple-Ways of Rosengrant"},
        proceedings={Proceedings of the 7th Mathematics, Science, and Computer Science Education International Seminar, MSCEIS 2019, 12 October 2019, Bandung, West Java, Indonesia},
        publisher={EAI},
        proceedings_a={MSCEIS},
        year={2020},
        month={7},
        keywords={problem solving skills quasi-experiment multiple-ways of rosengrant},
        doi={10.4108/eai.12-10-2019.2296486}
    }
    
  • V Vidyawati
    P Sinaga
    L Hasanah
    Year: 2020
    The Profile Analysis of Problem-Solving Skills on Work and Energy Material Using "Multiple-Ways of Rosengrant"
    MSCEIS
    EAI
    DOI: 10.4108/eai.12-10-2019.2296486
V Vidyawati1,*, P Sinaga2, L Hasanah1
  • 1: Departemen Pendidikan Fisika, Universitas Pendidikan Indonesia, Indonesia
  • 2: Departemen Pendidikan Ilmu Pengetahuan Alam, Universitas Pendidikan Indonesia, Indonesia
*Contact email: vidyawati@upi.edu

Abstract

This research aims to determine the improvement of problem-solving skills and skill level in solving problems on the business and energy topic of high school students. The research method used is the quasi-experiment with a post-test control group pre-test design. The subject for this study amounted to 60 SMA grade X students at one of the schools in Bandung which was determined by purposive sampling. The instrument used is a matter of essay based on problems in everyday life. Measurement of problem-solving capability is a pre-test and post-test corresponding to the Multiple-ways of the Rosengrant indicator. Data analysis uses the percentage of average gain in normalization and interacting with hake criteria. After the study, there was an increase in problem-solving skills with moderate criteria, with an <g> N-gain normalization rate of 0.49. The results showed improved problem-solving skills at each level.