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All Journal Jurnal Ilmiah Pendidikan Fisika
Faiz Hasyim
STKIP Al Hikmah Surabaya
Education Physics

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Pengembangan Simulasi Berbasis Visual Basic Application (VBA) Spreadsheet Excel pada Pembelajaran Fisika Materi Gelombang Trise Nurul Ain; Hari Anggit Cahyo Wibowo; Faiz Hasyim
Jurnal Ilmiah Pendidikan Fisika Vol 6, No 1 (2022)
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jipf.v6i1.4435

Abstract

Penelitian ini bertujuan untuk menganalisis validitas simulasi berbasis visual basic application (VBA) dan spreadsheet excel pada materi gelombang dengan menggunakan metode ADDIE. Terdapat lima tahap pengembangan simulasi ini yaitu analisis, desain, pengembangan, implementasi dan evaluasi akan tetapi penelitian ini dilaksanakan sampai tahap pengembangan kemudian dilakukan validasi dengan menggunakan instrumen penilaian. Instrumen peniaian terdiri dari lembar penilaian validasi pada aspek media dan lembar penilaian validasi pada aspek materi. Validator berjumlah tiga orang yang terdiri dari pakar dan pengguna. Teknik analisis data yang digunakan adalah teknik analisis data deskriptif. Data yang telah dianalisis kemudian dideskripsikan secara kualitatif untuk mengetahui kategori penilaian Skor validasi pada aspek materi mendapatkan skor 3,56 dan pada aspek media mendapatkan skor 3,37 dengan keduanya berkategori valid. Selain itu, simulasi yang dikembangkan juga dinyatakan interaktif, antraktif dan dapat digunakan untuk menjelaskan konsep dengan baik. This study aims to analyze the validity of simulations based on basic visual application (VBA) and excel spreadsheets on wave material using the ADDIE method. There are five stages of developing this simulation: analysis, design, development, implementation, and evaluation, but this research was carried out until the development stage and then validated using an assessment instrument. The assessment instrument consists of a validation assessment sheet on the media aspect and a validation assessment sheet on the material aspect. Three validators consist of experts and users. The data analysis technique used is the descriptive data analysis technique. The data that has been analyzed is then described qualitatively to determine the category of assessment. Validation score on the material aspect gets a score of 3.56, and on the media, aspect gets a score of 3.37 with both valid categories. In addition, the simulation developed is also stated to be interactive and attractive and can be used to explain concepts well.
Development of a Deep-AI Learning Model to Improve Generation Z’s Scientific Literacy through a Deep Learning Approach and AI Integration Indrawati Wilujeng; Trise Nurul Ain; Adhy Putri Rilianti; Faiz Hasyim
Jurnal Ilmiah Pendidikan Fisika Vol 9, No 3 (2025): OCTOBER 2025
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jipf.v9i3.16836

Abstract

Scientific literacy is a key competency needed in the era of Smart Society 5.0. However, studies indicate that the scientific literacy of Generation Z remains low. This can be attributed to the implementation of learning models that are less relevant to the characteristics of their generation, commonly referred to as digital natives. Furthermore, an approach that can make in-depth learning meaningful yet enjoyable is also needed. One possible alternative is to develop an AI-based learning model using a deep learning approach. This study aims to develop a valid and practical Deep-AI learning model to improve the scientific literacy of Generation Z. The method used was research and development (R&D) with a model developed by Borg and Gall (limited to step seven). The model was validated by three education experts and tested on a limited sample of 25 Generation Z students. The results of the study stated that a) the Deep-AI model is valid based on an average validation score of 3.69, which is categorized as very valid, and b) the Deep-AI model is practical based on the average observation result of model implementation of 3.68, which is categorized as very good. Therefore, it can be concluded that Deep-AI is valid and practical. This model can serve as an alternative learning approach aimed at enhancing the scientific literacy skills of Generation Z students.      
Co-Authors Adhy Putri Rilianti Hari Anggit Cahyo Wibowo Indrawati Wilujeng Trise Nurul Ain