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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) IAES International Journal of Robotics and Automation (IJRA) International Journal of Applied Power Engineering (IJAPE) International Journal of Renewable Energy Development Jurnal Teknologi Reaktor Nuklir Tri Dasa Mega Techno.Com: Jurnal Teknologi Informasi Jurnal Neutrino : jurnal fisika dan aplikasinya JSI: Jurnal Sistem Informasi (E-Journal) JFA (Jurnal Fisika dan Aplikasinya) JURNAL ILMIAH PENDIDIKAN FISIKA AL BIRUNI Jurnal Teknologi Elektro Journal of Teaching and Learning Physics JPSE (Journal of Physical Science and Engineering) Jurnal Rekayasa Bahan Alam dan Energi Berkelanjutan Journal of Physics: Theories and Applications BERDIKARI : Jurnal Inovasi dan Penerapan Ipteks JRST (Jurnal Riset Sains dan Teknologi) Indonesian Journal of Chemistry Natural: Jurnal Ilmiah Pendidikan IPA Jurnal Sisfokom (Sistem Informasi dan Komputer) Jurnal Pendidikan Fisika dan Teknologi Jambura Journal of Electrical and Electronics Engineering Indonesian Journal of Electrical Engineering and Computer Science G-Tech : Jurnal Teknologi Terapan Indonesian Community Journal Jurnal Pijar MIPA Jurnal Algoritma PREVENIRE: Journal of Multidisciplinary Science Cakrawala Journal of Artificial Intelligence and Digital Business JESCEE- Journal of Emerging Supply Chain, Clean Energy, and Process Engineering Jurnal Pendidikan Sains Indonesia (Indonesian Journal of Science Education) International Journal of Renewable Energy Development Jurnal Teknik AMATA Jurnal Pendidikan MIPA Jurnal Pemanfaatan Teknologi untuk Masyarakat
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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
Pengembangan Keterampilan Siswa Melalui Pelatihan Robotik Untuk Mendukung Agenda Sustainable Development Goals (SDGs) Soni Prayogi; Teguh Aryo Nugroho; Nita Indriani Pertiwi; Wahyu Agung Pramudito; Marza Ikhsan Marzuki; Muhammad Abdillah; Wahyu Kunto Wibowo; Herminarto Nugroho; Teuku Muhammad Roffi; Muhammad Muhammad
I-Com: Indonesian Community Journal Vol 5 No 1 (2025): I-Com: Indonesian Community Journal (Maret 2025)
Publisher : Fakultas Sains Dan Teknologi, Universitas Raden Rahmat Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/icom.v5i1.6486

Abstract

ABSTRACT This Community Service Activity aims to improve students' technical skills in robotics while supporting SDGs, especially quality education and technological innovation. Training includes robotics assembly, programming, and applications, with an interactive approach tailored to the curriculum. The program begins with the identification of partner schools with limited resources, followed by coordination and preparation of training modules. Students learn basic robotics theory including the principles of electronics, mechanics, and programming, as well as the practice of assembling and programming robots in small groups. Internal competitions are held to test students' abilities and motivate them to solve problems creatively. The main challenges include limited facilities and time, overcome by adjusting materials and schedules. Evaluations show significant improvements in student skills, with creative innovations in technology-based solutions to support SDGs. The program has succeeded in generating students' interest in technology, providing a strong foundation for similar programs in the future, and encouraging collaboration between education and industry.
Sinergi Energi Terbarukan dan Pertanian Modern: Penerapan PLTS untuk Meningkatkan Kinerja Usaha Hidroponik di Pagifarm Bogor Soni Prayogi; Teguh Aryo Nugroho; Nita Indriani Pertiwi; Wahyu Agung Pramudito; Marza Ikhsan Marzuki; Muhammad Abdillah; Wahyu Kunto Wibowo; Herminarto Nugroho; Teuku Muhammad Roffi; Muhammad Muhammad
I-Com: Indonesian Community Journal Vol 5 No 2 (2025): I-Com: Indonesian Community Journal (Juni 2025)
Publisher : Fakultas Sains Dan Teknologi, Universitas Raden Rahmat Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/i-com.v5i2.7395

Abstract

Permasalahan ketergantungan energi konvensional dalam usaha hidroponik menghambat produktivitas dan efisiensi operasional, terutama pada wilayah dengan akses listrik terbatas atau tidak stabil. Kegiatan pengabdian masyarakat ini dilaksanakan di Pagifarm Bogor dengan tujuan meningkatkan kinerja usaha hidroponik melalui penerapan Pembangkit Listrik Tenaga Surya (PLTS) berbasis IoT. Metode pelaksanaan meliputi survei kebutuhan energi, perancangan dan instalasi sistem PLTS, serta pelatihan penggunaan dan pemeliharaan kepada mitra. Hasil kegiatan menunjukkan adanya peningkatan efisiensi penggunaan energi, penurunan biaya operasional listrik, serta peningkatan produktivitas tanaman hidroponik. Selain itu, mitra mampu secara mandiri mengelola sistem PLTS yang terpasang. Kesimpulannya, sinergi antara energi terbarukan dan teknologi pertanian modern mampu mendukung ketahanan pangan dan keberlanjutan usaha tani, serta memberikan dampak positif terhadap ekonomi lokal dan lingkungan.
Firefly-Based MPPT System Design for Wind Energy Efficiency Enhancement in Remote Areas Soni Prayogi
G-Tech: Jurnal Teknologi Terapan Vol 9 No 3 (2025): G-Tech, Vol. 9 No. 3 July 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v9i3.7345

Abstract

The increasing demand for renewable energy in remote and off-grid areas has highlighted the importance of efficient wind energy utilization. However, wind energy systems are often challenged by unpredictable wind speeds, leading to suboptimal energy harvesting. This study proposes the design of a Firefly Algorithm (FA)-based Maximum Power Point Tracking (MPPT) system to enhance wind energy conversion efficiency. The objective is to develop an intelligent control strategy that optimizes the output power of a wind turbine under fluctuating wind conditions. The proposed system is implemented using a permanent magnet synchronous generator (PMSG) and a DC-DC boost converter. The Firefly Algorithm is employed to dynamically adjust the duty cycle of the converter, thereby maintaining operation at the maximum power point. Simulation results using MATLAB/Simulink demonstrate that the FA-based MPPT outperforms conventional Perturb and Observe (P&O) methods in terms of tracking speed, power stability, and efficiency. The proposed approach achieves faster convergence, reduced oscillations, and higher power output, making it highly suitable for deployment in remote areas with limited access to the power grid. These findings indicate that the integration of intelligent algorithms such as FA in MPPT systems can significantly enhance the performance of wind energy systems in challenging environments
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.
Peningkatan Produktivitas Kebun Hidroponik Pagifarm Bogor melalui Implementasi Pembangkit Listrik Tenaga Surya Berbasis IoT Prayogi, Soni; RDR, Raden; Larasati, Ismah Aulia; Abdillah, Muhammad; Rozamuri, Arif Murti
I-Com: Indonesian Community Journal Vol 5 No 4 (2025): I-Com: Indonesian Community Journal (Desember 2025)
Publisher : Fakultas Sains Dan Teknologi, Universitas Raden Rahmat Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/i-com.v5i4.8070

Abstract

Permasalahan tingginya ketergantungan pada listrik konvensional dalam usaha hidroponik berdampak pada tingginya biaya operasional dan risiko penurunan produktivitas akibat pemadaman listrik. Kegiatan pengabdian masyarakat ini dilaksanakan di Pagifarm Bogor dengan tujuan meningkatkan efisiensi energi dan produktivitas pertanian hidroponik melalui penerapan Pembangkit Listrik Tenaga Surya (PLTS) berbasis Internet of Things (IoT). Metode pelaksanaan meliputi survei kebutuhan energi, perancangan dan instalasi sistem PLTS, serta pelatihan teknis kepada mitra mengenai penggunaan dan pemeliharaan sistem. Hasil kegiatan menunjukkan pengurangan konsumsi listrik dari PLN hingga 70%, penurunan biaya operasional listrik, serta peningkatan produktivitas tanaman sebesar 10–15% dengan siklus panen yang lebih singkat. Selain itu, mitra mampu mengelola sistem PLTS secara mandiri melalui aplikasi monitoring berbasis IoT. Kesimpulannya, penerapan energi terbarukan berbasis PLTS mampu meningkatkan keberlanjutan usaha hidroponik sekaligus memberikan dampak positif pada aspek ekonomi, sosial, dan lingkungan.
Pemanfaatan Virtual Laboratory dalam Pehamaman Fisika Siswa SMA IT Al Uswah Surabaya Soni Prayogi
JAPATUM: Jurnal Pemanfaatan Teknologi untuk Masyarakat Vol 1 No 2 (2022): Desember, 2022
Publisher : MATRADIPTI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59328/JAPATUM.2022.1.2.34

Abstract

Komputer dan teknologi informasi telah maju dengan sangat cepat dan memiliki dampak yang sangat besar. Dalam dunia pendidikan Indonesia, kedua teknologi ini masih belum sepenuhnya digunakan. Dengan bantuan laboratorium virtual, proses belajar mengajar dapat dilakukan di mana saja, kapan saja, dan menjadi lebih menarik dan partisipatif. Selain itu, waktu mengajar dapat dikurangi setengahnya sementara kualitas belajar dapat ditingkatkan. Selain itu, laboratorium virtual memungkinkan penelitian yang sebelumnya tidak praktis karena kendala yang dipaksakan oleh pengkondisian sistem dapat dilakukan dengan biaya lebih rendah. Pelatihan penggunaan laboratorium phet telah dilakukan di Surabaya di SMA Al Uswah. Instruksi tersebut berusaha untuk membuat mata pelajaran fisika lebih mudah bagi siswa untuk memahami. Gerak pendulum, rangkaian listrik DC, gerak proyektil, dan hamburan Rutherford adalah contoh simulasi Phet. Reaksi peserta terhadap hasil PhET yang disimulasikan kemudian ditentukan dengan menggunakan model TAM. Menurut temuan survei, telah terjadi peningkatan pembelajaran fisika asli dari 37 menjadi 80.
Low-cost implementation of damped harmonic motion for structural vibration studies Silviana, Fitria; Prayogi, Soni
Journal of Physics: Theories and Applications Vol 9, No 2 (2025): Journal of Physics: Theories and Applications
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jphystheor-appl.v9i2.105212

Abstract

This study presents a low-cost experimental approach to investigating damped harmonic motion for structural vibration studies, using easily accessible electronic components and open-source microcontroller technology. The primary objective is to validate the feasibility of accurately capturing and analyzing vibrational behavior through an economical setup, making advanced physics experimentation accessible for educational and research purposes. The system comprises a spring-mass mechanism integrated with sensors such as ultrasonic rangefinders and LDRs connected to an Arduino Uno, allowing real-time data acquisition of displacement, velocity, and acceleration. The experiment begins with an initial phase of gravitational free fall, followed by a transition to damped harmonic oscillation once the spring is activated, triggered at a threshold displacement. Graphical and tabular representations of the motion illustrate the classic underdamped response, including phase-shifted oscillations and exponential decay of amplitude, closely matching theoretical models of second-order dynamic systems. This transition is marked by clear time and displacement boundaries, providing valuable insight into non-ideal spring behavior and real-world mechanical thresholds. The results confirm that key dynamic properties, such as damping ratio and natural frequency, can be qualitatively and quantitatively examined through low-cost means without sacrificing measurement reliability. Overall, the study highlights the pedagogical effectiveness and scalability of such a system in introducing fundamental mechanical vibration concepts. This work contributes to both physics education and applied engineering by promoting affordable, accurate, and adaptable experimental tools for the study of structural dynamics and harmonic motion in real-world scenarios
Experiments in nuclear physics using inexpensive instruments Saminan, Saminan; Silviana, Fitria; prayogi, soni
Journal of Physics: Theories and Applications Vol 7, No 2 (2023): Journal of Physics: Theories and Applications
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jphystheor-appl.v7i2.78406

Abstract

The scarcity of experimental activities is one of the challenges of teaching current physics. This study resolves these issues and suggests three nuclear physics experiments using a low-cost ion chamber, whose construction is explained: the measurement of 222Rn progeny collected from the indoor air; the measurement of the range of alpha particles emitted by the 232Th progeny, present in lantern mantles and in thoriated welding rods, as well as by the air filter containing 222Rn progeny; and the measurement of 220Rn half-life collected from In this study, the experimental methods and anticipated findings are presented, showing that the experiments could help nuclear physics curricula. These procedures may provide broad access to either academic laboratories in high schools or colleges and the equipment may be used to create novel nuclear physics teaching strategies
Co-Authors . Saminan A, Muhammad AA Sudharmawan, AA Alfredo, Andromeda J Amsal Aritonang Anandra, Muhammad F Apta Prana Mas Erlangga Arif Murti Rozamuri Aufa, Nurul Ayunis Ayunis Aziiz, Ahmad Mushawwir Beny Ragadita Cahyono, Yoyok Chandra, Annisya E Dadan Hamdani Darminto . Darminto Darminto Darminto Darminto Darminto Darminto Darminto Darminto Elmi Mahzum Fauzi Ahmad Muda Fitria Silviana Fitria Silviana Fitria Silviana Frisca Elfrisa Nainggolan Gatut Yudoyono Gatut Yudoyono Giganta Rose Kakke Hartanxia Hartanxia Herminarto Nugroho Herminarto Nugroho Hidayat, Robi T I Nur Fajar Imammah, Sofyah Irgi Faturrahman Ketut Saha Kesta Dinatha Larasati, Ismah Aulia Mahzum, Elmi Marza Ihsan Marzuki Marza Ikhsan Marzuki Marza Ikhsan Marzuki Marza Ikhsan Marzuki Marzuki, Marza I Marzuki, Marza Ikhsan Maulana, Rifqi Muhamad FE Nugroho Muhammad Muhammad Abdillah Muhammad Abdillah Muhammad Abdillah Muhammad Muhammad Muhammad Muhammad Muhammad Syukri Nanda Adiva Yusman Nita I Pertiwi Nita Indriani Pertiwi Nita Indriani Pertiwi Nugroho, Irvan A Nugroho, Teguh A Nur Fajar, Iqbal Nurul Aufa Pratama, Aldi Putra, Yehezkiel P. RDR, Raden Rizky Agung Ramadhan Roong, Inggrid IO Rozamuri, Arif Murti Safira Luthfia Saminan Saminan Saminan, Saminan Saputra , Duta M W Silviana, Fitria Sirait, Juanto Syahrul Ghufron Tan, Dennis Tarmizi Hamid, Tarmizi Teguh Aryo Nugroho Teguh Aryo Nugroho Teuku Muhammad Roffi Teuku Muhammad Roffi Wahyu Agung Pramudito Wahyu Agung Pramudito Wahyu Kunto Wibowo Wahyu Kunto Wibowo Wibowo, Wahyu K. Wibowo, Wahyu Kunto Yoyok Cahyono Zainuddin Zainuddin Zainuddin Zainuddin Zainuddin Zainuddin* Zainuddin, Zainuddin Zapata, Malvin