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All Journal JURNAL ILMIAH PENDIDIKAN FISIKA AL BIRUNI BERDIKARI : Jurnal Inovasi dan Penerapan Ipteks Jurnal Pendidikan Fisika dan Teknologi Cakrawala Jurnal Pendidikan MIPA
Silviana, Fitria
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Astronomy Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Materials Science & Nanotechnology Mathematics Physics

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Pemanfaatan Bahan Bekas sebagai Alat Peraga IPA Ramah Lingkungan Silviana, Fitria; Prayogi, Soni
Berdikari: Jurnal Inovasi dan Penerapan Ipteks Vol 11, No 2 (2023): August
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/berdikari.v11i2.17845

Abstract

Effective learning can be achieved by utilizing practical teaching aids that can challenge students to understand the material. This needs to be done to increase students' lack of learning motivation, as it will hurt learning achievement. Each student has a variety of learning styles, such as visual, audio, and kinesthetic. Therefore, teachers should try to create innovation by developing teaching aids in the form of a Pascal pressure model that can be implemented in learning experiments. The purpose of making this demonstration equipment is so students can understand the concept of Pascal pressure more concretely and in-depth, compared to relying on pictures as a visual tool. Apart from that, this innovation can also increase student motivation so that learning becomes more real and not just imagination and so that student learning outcomes can increase. The research method involves identifying old materials that can be used, designing creative and educational teaching aids, as well as testing the effectiveness of teaching aids in supporting science learning. The research results show that using used materials in natural science teaching aids can reduce negative environmental impacts by reducing waste and consuming new resources. The teaching aids developed can also facilitate understanding of science concepts visually and interactively. The trial of this teaching aid showed a positive response from students toward a more interesting and sustainable learning method.
Resistor and Capacitor Time Constant Measuring Instrument Using Arduino UNO Prayogi, Soni; Silviana, Fitria; Saminan, Saminan
Jurnal Ilmiah Pendidikan Fisika Al-Biruni Vol 12 No 1 (2023): Jurnal Ilmiah Pendidikan Fisika Al-Biruni
Publisher : Universitas Islam Negeri Raden Intan Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/jipfalbiruni.v12i1.15323

Abstract

The most interesting problem to be discussed in electrical physics is one-way electric circuits. In this work, the researchers constructed an experimental setup for determining the time constant of DC resistors and capacitors using the open-source Arduino UNO hardware platform. Arduino UNO was a signal generator for data collection systems and a simple signal visualization instrument. Experiments were carried out using an analog oscilloscope combined with theoretical calculations. The results show that, on a spreadsheet, the data processing and fitting of the curves for the six Resistor and Capacitor test sets yielded values determined by the component tolerances. The researchers believe that the design of this equipment and software demonstrates the recommended suitability, making it flexible for use in teaching and learning in laboratory contexts.
Analysis of the process of coloring objects based on the optical properties of objects Prayogi, Soni; Silviana, Fitria; Hamid, Tarmizi
Cakrawala Vol 1, No 2 (2022): Desember
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/cakrawala.v1i2.1405

Abstract

Color is a certain spectrum contained in a perfect light (white). The purpose of this study is 1). Can determine the cause of the color of the object (what causes a different object than the other color) 2). Can observe the color that occurs when two or more colors are mixed. The benefit in order to inform readers about what actually causes the color of the object and what if two or more colors are mixed. Mixing colors for color RGB, the colors Red to Green produce colors orange, blue color to produce a color Sian Green, Red color with blue produce magenta, and Red, Green with Blue produces white color. For CMY color mixing, the colors Cyan with yellow produce green color, magenta with yellow produces red color, the color Cyan by Magenta produces blue, and the colors Cyan, Magenta produces yellow Gray (Brown). Color objects can be invisible to the eye because of the reflection of the color of the object illuminated by light.
Development of an Inexpensive Spectrometer Tool with a Tracker to Investigate Light Spectrum Prayogi, Soni; Silviana, Fitria; Saminan, Saminan
Jurnal Pendidikan MIPA Vol 24, No 1 (2023): Jurnal Pendidikan MIPA
Publisher : FKIP Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

One of the most fascinating areas of physics is likely optics. However, it also includes some of the phenomena that students find to be less clear-the light spectra produced by light diffraction. The experimental analysis of light spectra to evaluate radiation bodies typically requires specialized and expensive equipment that is typically out of the price range for schools. Few teachers are proficient in measuring the wavelengths of light in a spectrum. In this study, we describe a low-cost, straightforward setup that can measure light spectra accurately enough to be utilized in physics and chemistry lectures. We demonstrate how the shareware program Tracker, which is frequently used to teach mechanics, may be used to measure wavelengths with a resolution of roughly 2 nm. Several methods are also available for calibrating various setups, depending on the level of accuracy required.Keywords: optics, spectrum, experimental, wavelength.DOI: http://dx.doi.org/10.23960/jpmipa/v24i1.pp28-38
Integration of Artificial Intelligence in Data Analysis for Modern Physics Experiments Silviana, Fitria; Prayogi, Soni
Jurnal Pendidikan Fisika dan Teknologi (JPFT) Vol 11 No 2 (2025): July - December
Publisher : Department of Physics Education, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpft.v11i2.10580

Abstract

This study aims to explore the integration of Artificial Intelligence (AI) in data analysis for modern physics experiments, focusing on how AI-based analytical tools can improve the accuracy, efficiency, and interpretability of experimental results. The research was conducted through an experimental approach combining traditional physics data collection methods with AI-driven algorithms, including regression models, clustering techniques, and neural networks. The experiment utilized datasets from motion and optics laboratories, where sensor-based measurements were analyzed using supervised and unsupervised learning models. Data preprocessing, feature extraction, and model validation were implemented through Python-based frameworks such as TensorFlow and Scikit-learn. The results demonstrated that AI-assisted data analysis significantly enhanced the precision of measurement interpretation, reduced error margins by 15–20% compared to conventional methods and identified hidden patterns within complex datasets that were previously difficult to detect through manual analysis. Moreover, neural network models proved highly effective in predicting outcomes of nonlinear systems, particularly in optics and electromagnetism experiments. The study also revealed that the integration of AI not only accelerates data processing but also serves as an educational tool to promote computational thinking among physics students. It is recommended that modern physics laboratories adopt AI-based analytical frameworks as a standard complement to traditional methods, supported by training modules that familiarize students with data-driven experimentation. This integration is expected to strengthen the alignment between physics education and emerging technologies, ultimately fostering innovation and interdisciplinary competence among future physicists.
Co-Authors . Saminan Prayogi, Soni Tarmizi Hamid, Tarmizi