Proceedings of the 2nd International Conference of Science and Technology for the Internet of Things, ICSTI 2019, September 3rd 2019, Yogyakarta, Indonesia

Research Article

The Development Optical Textbooks of Problem-Based Learning Trough Macromedia Flash

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  • @INPROCEEDINGS{10.4108/eai.20-9-2019.2291942,
        author={Hidayati  Hidayati and Sunarto  Sunarto and Ayu Fitri Amalia},
        title={The Development Optical Textbooks of Problem-Based Learning Trough Macromedia Flash },
        proceedings={Proceedings of the 2nd International Conference of Science and Technology for the Internet of Things, ICSTI 2019, September 3rd 2019, Yogyakarta, Indonesia},
        publisher={EAI},
        proceedings_a={ICSTI},
        year={2020},
        month={3},
        keywords={optical textbooks problem-based learning macromedia flash},
        doi={10.4108/eai.20-9-2019.2291942}
    }
    
  • Hidayati Hidayati
    Sunarto Sunarto
    Ayu Fitri Amalia
    Year: 2020
    The Development Optical Textbooks of Problem-Based Learning Trough Macromedia Flash
    ICSTI
    EAI
    DOI: 10.4108/eai.20-9-2019.2291942
Hidayati Hidayati1,*, Sunarto Sunarto1, Ayu Fitri Amalia1
  • 1: Physics Education Department, Universitas Sarjanawiyata Tamansiswa, Yogyakarta, Indonesia
*Contact email: hidayati@ustjogja.ac.id

Abstract

This study aimed to develop and describe the optical textbooks of problem-based learning through Macromedia Flash. It is research and development consisting of 5 steps namely exploration study, early product development, expert validation and product revision, limited trial and product revision, main test and revision to final products. The instruments used were a validation questionnaire for material expert lecturers, media experts and a student response questionnaire. Data analysis techniques use qualitative and quantitative data. Data analysis techniques used qualitative and quantitative data. The results of this research are optic textbook of problem-based learning model through Macromedia Flash, with an average validation score of material experts 3.47 or 90.25% which is included in the excellent category, media experts 3.31 or 82.83% with very good category, and student responses 3.25 or 81.14% which are included in the very good category.