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All Journal Jurnal Penelitian Pendidikan IPA (JPPIPA) ORBITA: Jurnal Pendidikan dan Ilmu Fisika Jurnal Pengabdian Magister Pendidikan IPA Jurnal Pendidikan Fisika dan Teknologi Kappa Journal Jurnal Pengabdian Masyarakat Sains Indonesia (Indonesian Journal Of Science Community Services) Jurnal Ilmiah Profesi Pendidikan Unram Journal of Community Service (UJCS) Jurnal Penelitian dan Pembelajaran Fisika Indonesia Lambda: Jurnal Ilmiah Pendidikan MIPA dan Aplikasinya Indonesian Journal of Education and Community Services Indonesian Journal of Applied Science and Technology International Journal of Contextual Science Education
Muhammad Taufik
Prodi Pendidikan Fisika, FMIPA, Universitas Mataram
Agriculture, Biological Sciences & Forestry Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Physics Public Health Social Sciences Other

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Multiple Intelligence Type Profile of Prospective Physics Teacher Students: Recommendations for Lecture Methods to Create a Superior and Globally Competitive Generation Hikmawati Hikmawati; Muhammad Taufik; Jannatin Ardhuha; Satutik Rahayu; Irman Muliadi
Kappa Journal Vol 8 No 3 (2024): Kappa Journal
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/kpj.v8i3.28740

Abstract

The type of multiple intelligence possessed by students can be a consideration for lecturers in determining the right lecture method so that it can create effective learning. The effectiveness of learning has an impact on the quality of superior and competitive student competencies. This study aims to analyze the distribution of multiple intelligences of students and relate them to relevant learning methods in the Physics Curriculum Review course in the Physics Education Study Program, University of Mataram. The subjects of the study were 22 class 5C students who took the multiple intelligence test. This study uses a descriptive approach with quantitative data analysis. The study was conducted in August 2024. The instrument used to view the profile of students' multiple intelligence types can be accessed through the online platform "Aku Pintar". The results showed that intrapersonal intelligence had the highest average of 83%, followed by logical-mathematical intelligence (78%), visual-spatial (75%), and verbal-linguistic (73%). Naturalistic and Interpersonal intelligence were 71%, while Kinesthetic intelligence was 70%. Musical intelligence had the lowest average, which was 63%. Based on these findings, the recommended learning methods include Project-Based Learning, Small Group Discussion, Contextual Instruction, and Role-Play to accommodate various types of student intelligence. These methods are integrated with topics such as the history of curriculum development, review of learning models, review of the Independent Curriculum teaching module, and the Pancasila Student Profile Strengthening Project. The conclusion of the study emphasizes the importance of implementing adaptive and varied learning methods in supporting the potential of students' multiple intelligences, in order to prepare them as competent, creative, and innovative prospective teachers. In other words, the application of lecture methods used by lecturers according to the type of multiple intelligences of students will support the formation of a superior and globally competitive generation. It is recommended for lecturers to optimize project-based and collaborative approaches, and for students to actively explore their intelligence potential. This study also provides recommendations to study programs to align the curriculum with student needs and educational developments.
The Influence of Skin Permeability and Electric Fields on Drug Permeation in Transdermal Systems: A Simulation-Based Study Using Pascal Muhammad Taufik; Syahrial A
Kappa Journal Vol 8 No 3 (2024): Kappa Journal
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/kpj.v8i3.28845

Abstract

Transdermal drug delivery systems (TDDS) offer a promising non-invasive approach for drug administration, yet their effectiveness is often constrained by the permeability of the skin and the properties of the drug. This study investigates the combined impact of skin permeability and electric fields on drug permeation through the skin, using simulation data generated by a custom-developed program in Pascal. The simulation, based on Fick’s Law of Diffusion, incorporates the effects of iontophoresis (electric fields) on drug transport, adjusting parameters such as skin permeability, electric field strength, and drug characteristics. The results demonstrate that both skin permeability and electric field intensity significantly influence the rate of drug permeation. Notably, the highest flux was observed when both electric field strength (1.0 mA/cm²) and enhanced skin permeability (3.5 coefficient) were applied, with drug flux increasing by up to 5 times compared to passive diffusion. These findings underscore the substantial benefits of combining skin permeability enhancers, such as microneedles or chemical enhancers, with electric field application, offering valuable insights for developing more efficient TDDS. The results suggest that optimizing both parameters can significantly improve drug delivery, especially for low-permeability drugs.
Implementation of the GASING Method in Teaching Parabolic Motion: A Comparative Analysis of Learning Outcomes in Biology Education Muhammad Taufik; Syahrial A
Kappa Journal Vol 8 No 3 (2024): Kappa Journal
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/kpj.v8i3.28890

Abstract

Teaching of physics concepts to non-physics majors presents significant challenges, particularly when it comes to helping students connect abstract physical principles with their primary field of study. This study investigates the effectiveness of the GASING (Graduated Assistance in Student-led Inquiry and Narrative learning through Guided experimentation) method in teaching parabolic motion to first-semester Biology Education students FKIP Universitas Mataram. Using a quasi-experimental design with two parallel classes (n = 54), we assessed the method’s effectiveness through pre- and post-tests, mini-projects, laboratory observations, and detailed student feedback questionnaires. Results demonstrated significant improvements in conceptual understanding, with mean scores increasing from 4.15 to 7.63 (Class D) and 7.56 (Class E), yielding a substantial effect size (Cohen’s d = 3.26). Both classes showed comparable performance in mini-projects (mean scores: 16.0/20 and 16.3/20). Student feedback across multiple engagement, clarity, and effectiveness measures consistently scored above 4.0/5. Statistical analysis revealed a significant correlation between student engagement and learning outcomes (r = 0.78, p < 0.001). These findings suggest that the GASING method effectively bridges the gap between physics concepts and biological applications while maintaining high student engagement and comprehension
Pengembangan Modul Ajar Fisika Berbasis Kaffah Learning untuk Meningkatkan Kemampuan Berpikir Kreatif Siswa SMA Syahrial A; Yulia Hasan; Muhammad Zuhdi; Muhammad Taufik
Kappa Journal Vol 9 No 3 (2025): Kappa Journal
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/kpj.v9i3.33054

Abstract

This study aims to develop a physics teaching module based on Kaffah Learning and to examine its feasibility and effectiveness in improving high school students’ creative thinking skills. The development process employed the 4D model (Define, Design, Develop, and Disseminate). The Define stage included needs analysis through curriculum review and teacher interviews. In the Design stage, a module draft was constructed by integrating holistic values, contextual learning activities, and creative problem-solving tasks. The module was validated by material and media experts using a standardized feasibility assessment instrument. Quantitative data were analyzed using Aiken’s V index and the N-Gain test derived from pretest and posttest scores. The validation results indicated that all aspects of the module content appropriateness, language clarity, presentation, and graphical design achieved an Aiken’s V value of 0.83, categorized as highly feasible. A limited trial conducted with students at SMAN 3 Mataram showed an increase in the average score from 60 to 88 after using the module. The N-Gain analysis yielded a value of 0.38 (moderate category), indicating that the module effectively enhanced students’ creative thinking skills, although the improvement had not reached a high category. The application of Kaffah Learning was found to encourage idea exploration, reflection, and the integration of physics concepts with real-life contexts.This study concludes that the physics teaching module based on Kaffah Learning is highly feasible and reasonably effective in improving students’ creative thinking skills. These findings provide a foundation for further development of holistic learning materials in other physics topics.
Computational Physics as a Unifying Framework for the Natural Sciences: Bridging Disciplines through Numerical Modeling and Simulation Muhammad Taufik; Syahrial, A
Kappa Journal Vol 9 No 3 (2025): Kappa Journal
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/kpj.v9i3.33489

Abstract

The collaboration between computation, theory, and experiment has been a game-changer for academia. This work considers computational physics as an integrative discipline across the natural sciences and utilizes a narrative literature review organized with a conceptual and methodological synthesis. Using peer-reviewed literature from physics, chemistry, biology, and environmental science, as well as science education, the work identifies common interdisciplinary numerical approaches, computational techniques, and algorithms used in modeling and simulation. The research demonstrates that while computational practices in research and education have evolved separately across various fields, the core techniques that have been and continue to be most important for modeling across many fields are those rooted in computational physics: finite difference, finite element, and finite volume methods. Furthermore, the synthesis demonstrates that the combination of modeling in physics and the use of machine learning and other data-driven methods, as well as the importance of computational thinking, are essential for interdisciplinary science and science education. Model formulation, discretization, numerical approximation, algorithm implementation, and data visualization are core components of a generalized computational modeling framework. While this study has provided a unified conceptual framework for multiple academic domains and interdisciplinary curriculum development, its reliance on previously established literature, coupled with the lack of primary empirical findings or simulations, is a notable limitation. This study frames the discipline of computational physics as a methodology, rather than as a field of study with clear boundaries.
Co-Authors 'Ardhuha, Jannatin Ahmad Busyairi, Ahmad Ahmad Harjono Al Fiyatoen Sevtia Arifuddin Arifuddin Aris Doyan Aris Doyan Ariyan Zubaidi Arsis Doyan Bakti Sukrisna Candra Wani Dilla Agustiawati Elfatihan Egista Fathurrahman Fathurrahman Fathurrahman Fazriatun Fazriatun Fitrotul Jamil G. Gunawan Gunawan Haeratunisah Hairul Imam Hairunisyah Sahidu Hairunnisyah Sahidu Haris Munandar Hijriat Sholehah Hikmawati Hikmawati Hikmawati Hisbulloh Als Mustofa I B K Widiartha I Wayan Gunada I Wayan Gunada Intan Nur Maulida Irman Muliadi Isni Sahrianti Izlayani Putri Izzatun Nidda Jannatin Ardhuha Jannatin ‘Ardhuha Joni Rokhmat Kosim Kosim . Lalu Romi Setiawan Linda Juliarti Lisdah Wati Mariam Ulfa Mohammad Liyananta Septipalan Muh Makhrus Muh. Makhrus Muhammad Ikhsan Muhammad Zuhdi Naf’atuzzahrah Naf’atuzzahrah Ni Nyoman Sri Putu Verawati Nina Nisrina Nisrina Marliani Nuraini Rachma Ardianti Nurbaiti Nurbaiti Nurmala Hidayah Raudah Anjani Ronodirdjo, Muhammad Zuhdi Saprizal Hadisaputra Sasmita Sari Satutik Rahayu Selviana Haerani Susilawati - Sutrio Syahrial A Syahrial A Syahrial Ayub Syahrial, A Syamsuddin Syamsuddin Syamsul Hakim Syarful Annam Teguh Ardianto, Teguh Wahyudi Wahyudi Wahyudi Wahyudi Wahyudi Wahyudi Wahyudi Wiwik Kurniawati Yulia Hasan