Prosiding Seminar Nasional Fisika (Sinafi)
Prosiding ini merupakan luaran dari kegiatan seminar nasional fisika (SINAFI) yang diselenggarakan oleh Program Studi Pendidikan Fisika dan Program Studi Fisika Universitas Pendidikan Indonesia (UPI) setiap tahun.
Implementasi Model Pembelajaran Jigsaw Untuk Meningkatkan Pemahaman Konsep Peserta Didik Pada Materi Gelombang Bunyi
Pemahaman konseptual yang kuat merupakan landasan utama dalam pendidikan di abad ke-21. Hal ini krusial agar peserta didik dapat mengembangkan kemampuan berpikir kritis, menyelesaikan berbagai persoalan, dan beradaptasi terhadap perubahan yang dinamis (Kemendikdasmen, 2025). Studi pendahuluan di salah satu SMA di Kabupaten Bandung, yang menunjukkan dimana sebagian besar (65%) dari 300 peserta didik belum mencapai KKM (79) pada mata pelajaran fisika dengan partisipasi peserta didik yang rendah terutama pada materi gelombang bunyi maka memerlukan pendekatan pembelajaran yang inovatif. Penelitian ini bertujuan untuk menguji sejauh mana model pembelajaran kooperatif Jigsaw efektif dalam meningkatkan pemahaman konsep gelombang bunyi pada peserta didik. Metode penelitian ini menggunakan desain pre-eksperimental dengan model one-group pretest-posttest dengan sampel 37 peserta didik kelas XI MIPA yang dipilih melalui purposive sampling. Instrumen yang digunakan berupa tes uraian pemahaman konsep. Data dianalisis menggunakan statistik deskriptif, uji wilcoxon, analisis N-Gain dan perhitungan effect size. Hasil menunjukkan peningkatan pemahaman konsep dari rata-rata 64 menjadi 90 dengan N-Gain sebesar 0,76 yang termasuk kategori tinggi. Uji wilcoxon menghasilkan Asymptotic Sig.Value sebesar 0,01 (p<0,05), menunjukkan perbedaan yang signifikan antara pretest dan posttest. Analisis effect size r mengungkapkan r=0,88 yang termasuk kategori efek besar. Implementasi model pembelajaran kooperatif tipe jigsaw terbukti efektif untuk meningkatkan pemahaman konsep peserta didik pada materi gelombang bunyi. Penelitian selanjutnya disarankan menerapkan model Jigsaw pada materi fisika lainnya yang bersifat abstrak, eksplorasi di tingkat kelas berbeda serta durasi penerapan yang lebih panjang.
Hak Cipta (c) 2025 Prosiding Seminar Nasional Fisika (Sinafi)
Pengolahan Data Mikrotremor Metode HVSR Menggunakan Bahasa Pemrograman Python
The main purpose of this research is to implement the Python programming language in the processing of microtremor data using the Horizontal to Vertical Spectral Ratio (HVSR) method. The microtremor data used in this study was obtained from field measurements conducted at several specific sites. The data are then processed using various popular and effective Python libraries, such as ObsPy, NumPy, and Matplotlib. The data processing involved several important steps, including reading MiniSEED data, filtering with a Bandpass Filter to eliminate noise, segmenting the signal using windowing techniques, and transforming from the time domain to the frequency domain using the Fast Fourier Transform (FFT) method. Furthermore, the HVSR curve is processed with smoothing steps by applying the Konno-Ohmachi method to achieve more accurate results. The analysis results from this process can provide the dominant frequency (f_0), amplification factor (A_0), and seismic vulnerability index (Kg), which are crucial for risk evaluation. In addition, the processed data was visualized in the spatial distribution maps using coordinate data and the image of the satellite. Results from this research demonstrate that Python can be effectively used for the processing and visualization of microtremor data and can be applied to identify the potential seismic vulnerability in the research area with a significant degree of accuracy.
Transformasi Pembelajaran Fisika Berbasis STEM Deep Learning: Peluang dan Tantangan Masa Depan
This study aims to map the trends, collaborations, opportunities, and challenges of STEM-based physics learning integrated with deep learning. The method used is a bibliometric analysis of 282 documents from the Scopus database, published from 2015 to 2025, using keywords representing the connection between physics education, STEM education, and deep learning. The analysis was conducted with Scopus Analytics, Microsoft Excel, and VOSviewer to visualize publication trends, author collaboration networks, country distribution, and keyword maps. The results show that publications on this topic have increased significantly since 2023, peaking in 2024, with a dominant contribution from developed countries like the United States. "STEM education" and "artificial intelligence" were identified as the central research hubs, with "deep learning" acting as a connector to cutting-edge topics such as generative AI, chatbots, and adaptive learning. Implementation opportunities include personalized learning, interactive simulations, and automated data analysis, while challenges involve the need for high-quality data, potential biases, technical complexity, and educator readiness. These findings are expected to serve as a foundation for developing innovative, adaptive, and relevant physics learning strategies for the 21st century.
Cut-Off Frequency Analysis On Resistance Values Variation In Low-Pass Filter And High-Pass Filter Circuits
Filter circuit was an electronic system used to filter signals at specific frequencies. In application, signal filtering is often imperfect due to shifts in the cut-off frequency caused by several components in the electronic circuit, one of which was the resistor component. Therefore, this research objective was to find the relationship between resistors and frequency changes to determine the cut-off frequency in low-pass and high-pass filter circuits. This research method used a series of LM741 op-amps by adding capacitor components and resistor variations as active low-pass filter and active high-pass filter circuits, each at the 1st and 2nd order, then connected to a function generator to provide frequency variations ranging from 100 Hz to 1 MHz. The results showed that for first-order low-pass filters, the optimal feedback resistance was 990 Ω, which yielded a cut-off frequency of 7546 Hz with a 3,16% error percentage. For the second-order configuration, a 9720 Ω resistance provided the best results, producing a cut-off frequency of 706.5 Hz with an error percentage of 35,4%. Similarly, for high-pass filters, the optimal resistance for the first-order configuration was 56,200 Ω, yielding a 275 Hz cut-off frequency and a 2,82% error percentage, while the second-order configuration performed best with an 82 Ω resistance, producing a cut-off frequency of 13.075,3 Hz with a 9,2% error percentage. These findings indicate that resistor values significantly influence the accuracy of cut-off frequency in active filter circuits.
Analisis Instrumen Tes Materi Dinamika Rotasi dan Kesetimbangan Benda Tegar Menggunakan Model Rasch Dan Teori Tes Klasik
This study aimed to analyze the quality of physics evaluation instruments on the topic of Rotational Dynamics and Rigid Body Equilibrium through item testing. A descriptive quantitative method was employed. Data were obtained through document analysis from a test instrument consisting of 15 multiple-choice questions administered to 33 eleventh-grade students at a senior high school in Bandung. The data were analyzed using Classical Theory Test with Microsoft Excel and the Rasch Model with Winsteps software. Based on validity analysis using Classical Theory Test, 4 items were valid and 11 were invalid, while the Rasch Model classified 11 items as valid and 4 as invalid. The Cronbach’s Alpha (KR-20) reliability score based on Classical Theory Test was 0.5551, categorized as moderate, while the Rasch Model yielded a KR-20 reliability of 0.56 (low), with a person reliability of 0.50 (low) and item reliability of 0.91 (very good). In terms of difficulty level, Classical Test Theory identified 8 easy items, 5 moderate, and 2 difficult, while the Rasch Model categorized 4 items as easy, 4 moderate, 5 difficult, and 2 very difficult. Based on the discrimination index using both Classical Test Theory and the Rasch Model, the H value was 1.653 (rounded to 2), indicating that 11 items were poorly discriminating and 4 were fair.
Penerapan Model Problem Based Learning Untuk Meningkatkan Kemampuan Kognitif Dan Keterampilan Pemecahan Masalah Siswa SMA Pada Materi Gelombang
This study aims to describe and analyze the application of the Problem Based Learning learning model in improving students' cognitive abilities and problem-solving skills in wave materials. The method used in this study is a quantitative method. The design used in this study is a pre-experimental design with a one-group pretest-posttest design with a sample of 35 students at one of the State High School schools in the city of Bandung. In this study, the instruments used were pretest and posttest of cognitive ability and problem-solving skills. The test instrument was in the form of 15 multiple-choice questions for cognitive abilities according to the indicators, 5 essay questions for problem-solving skills according to the indicators, the implementation of the learning model, and the student response questionnaire. The test conducted in this study is the N-gain Test. The results of the study showed that the Problem Based Learning (PBL) learning model on students' cognitive abilities with a pretest score of 32.65, and a posttest score of 81.94, with an N-Gain result of 0.72 which means that there is an increase in students' cognitive abilities included in the high category. The results of the study also showed that the Problem Based Learning (PBL) learning model for students' problem-solving skills with a pretest score of 29.71, posttest score of 79.42, with an N-Gain result of 0.70 which means that there is an increase in problem-solving skills included in the high category. The implementation of the Problem Based Learning (PBL) learning model obtained 100% results, which means that the implementation of the Problem Based Learning (PBL) learning model is included in the very good category. It can be concluded that the Problem Based Learning (PBL) learning model shows an increase in cognitive ability and problem-solving skills in wave materials with a high category.
Implementasi Pembelajaran Interactive Demonstration Berbantuan LKPD Data Driven untuk Meningkatkan Kemampuan Literasi Kuantitatif Peserta Didik SMA pada Materi Pengukuran
This study aimed to analyze the effectiveness of the interactive demonstration learning model assisted by data-driven Student Worksheets (LKPD) in improving students’ quantitative literacy skills on measurement material. The research method used was a pre-experimental design with a one group pretest-posttest design. The subjects were 48 tenth-grade students at a senior high school in Bandung. The research instrument was a quantitative literacy test consisting of 18 items developed based on the indicators from the Association of American Colleges and Universities (AAC&U), which had been tested for validity, reliability, discrimination index, and difficulty level. The results showed that the average pretest score was 44.91 (medium category) and increased to 92.48 (very high category) on the posttest. The improvement in students’ quantitative literacy was indicated by an N-gain score of 0.86, which belonged to the high category. The Kolmogorov-Smirnov normality test showed that the data were normally distributed, while the paired sample t-test yielded a p-value = 0.000 < 0.05, indicating a significant difference between pretest and posttest results. Thus, it was concluded that the interactive demonstration learning model assisted by data-driven LKPD was effective in improving students’ quantitative literacy skills on measurement material
Pengembangan Media Pembelajaran Interaktif Articulate Storyline berbasis Problem-Based Learning untuk Meningkatkan Kemampuan Berpikir Kritis Peserta Didik pada Materi Fluida Statis
This research aims to develop interactive learning media Articulate Storyline based on problem-based learning on static fluid material to improve students' critical thinking skills. The media called AS-TIC (Articulate Storyline with Static Fluid) is designed as an online learning platform that can be used both in classroom and independent learning. Media development was carried out through the Research and Development (R&D) method by adopting the ADDIE development model which includes the stages of analyze, design, development, implementation, and evaluation. Validation of product feasibility was carried out by five validators consisting of 3 lecturers and 2 Physics teachers. The improvement of critical thinking skills was measured by taking pretest and posttest data from 33 grade XI students, while user responses were evaluated using a questionnaire instrument. The results showed that: 1) The media is declared feasible to use based on media and material aspects; 2) There is an increase in students' critical thinking skills with an N-Gain value of 0.37 which means it is included in the moderate category; 3) AS-TIC media obtained a positive response from users with an assessment in the excellent category.
Analisis Spektrum Raman pada Sampel Darah untuk Keperluan Forensik
Dalam dunia forensik, identifikasi waktu kejadian suatu peristiwa kriminal merupakan aspek yang sangat penting untuk membantu penyelidikan. Darah adalah salah satu bukti biologis yang paling umum ditemukan di Tempat Kejadian Perkara (TKP). Salah satu metode yang sering digunakan untuk mendapatkan informasi garis waktu kejadian adalah dengan menganalisis bercak darah yang ditemukan di TKP. Salah satu instrumen yang dapat digunakan untuk menganalisis bercak darah adalah dengan spektroskopi Raman. Kelebihan alat ini adalah tidak bersifat merusak sampel, pengukurannya cepat dan akurat, serta dapat dilakukan pada sampel padat, cair, dan gas. Data darah yang diteliti adalah dari 20 orang volunter yang setiap orang memberi sekitar 50 μL darah. Darah tersebut diteteskan pada substrat aluminium foil, dan diukur setiap seminggu sekali, selama 16 minggu. Data hasil pengukuran spektroskopi Raman dilakukan preprocessing terlebih dahulu, sehingga datanya dapat dianalisis lebih lanjut. Didapat pola perubahan bentuk spektrum darah pada sampel yang sama dengan waktu pengukuran yang berbeda. Perbedaan bentuk spektrum disebabkan oleh adanya perubahan struktur hemoglobin yang mengalami oksidasi dan terdenaturasi, dari bentuk deoxyHb menjadi hemichrome. Analisis lebih lanjut dilakukan metode Principal Component Analysis (PCA). Berdasarkan hasil analisis PCA didapat bahwa bercak darah dapat diklasifikasikan berdasarkan subjek individunya dan berdasarkan perbedaan umur bercak darah tersebut. Hal ini dapat dimanfaatkan untuk mencari informasi tertentu untuk kepentingan forensik.
Pengembangan E-Modul Materi Alat-Alat Optik Terintegrasi LMS Untuk Meningkatkan Kemampuan Berpikir Kreatif Siswa
Kegiatan belajar fisika idealnya dapat menjadikan siswa sebagai pembelajar yang aktif menerapkan berbagai kemampuan berpikir, salah satunya berpikir kreatif dalam memahami fenomena fisika. Hal tersebut sejalan dengan tuntutan abad ke-21, agar setiap individu dapat memiliki keterampilan khusus yang dikenal sebagai keterampilan abad ke-21. Keterampilan tersebut mencakup kemampuan berpikir kritis, kreatif, serta memecahkan masalah yang relevan dalam kehidupan sehari-hari. Selain itu dalam mendukung siswa sebagai pembelajar aktif yang kreatif, tentunya diperlukan teknologi pembelajaran yang dapat memfasilitasi dan meningkatkan proses belajar. Oleh karena itu, penelitian ini bertujuan untuk menghasilkan bahan ajar berupa e-modul terintegrasi LMS, yang menunjang tercapainya tujuan pembelajaran serta melatih kemampuan berpikir kreatif siswa. Metode yang digunakan adalah Research and Development (R&D) model ADDIE dengan tahapan analisis, perancangan, pengembangan, implementasi dan evaluasi. Uji kelayakan e-modul mengacu pada hasil validasi ahli. Berdasarkan data yang diperoleh, disimpulkan bahwa hasil uji validasi memperoleh nilai 83% untuk validasi isi termasuk dalam kategori “sangat valid” dan 74% untuk validasi konstruk termasuk dalam kategori “valid”. Jadi e-modul tersebut terkategori valid sehingga layak digunakan. E-modul juga tergolong sangat praktis digunakan untuk belajar, hal tersebut didasarkan pada perolehan rata-rata penilaian angket pendapat siswa dengan capaian nilai 82,5% dengan kategori sangat praktis. Kemudian untuk melihat keterlatihan kemampuan berpikir kreatif siswa dilakukan analisis hasil tes menggunakan uji N-Gain. Hasil analisis diperoleh N-Gain sebesar 54,05% dengan kategori “sedang”. Penerapan e-modul terintegrasi LMS terhadap kemampuan berpikir kreatif siswa didapatkan hasil yang cukup baik. Hasil tersebut menunjukkan bahwa e-modul terintegrasi LMS layak digunakan, sangat praktis dan dapat melatih kemampuan berpikir kreatif siswa.
Integration of Models PBL and POE to Improve Students' Critical Thinking on Alternative Energy Materials
This study aims to assess the improvement of critical thinking skills of high school students on alternative energy material through the application of Problem based learning (PBL) learning model integrated with Predict, observe, explain (POE) approach. The background of this research is based on the low critical thinking skills of students as shown through the results of preliminary studies and the results of the Programme for International Student Assessment (PISA) which places Indonesia at a low rank in higher order thinking skills. The research method used was quasi-experiment One Group Pretest-Posttest design. The research subjects were 32 grade X students in one of the public high schools in Bandung City. The instrument used included a multiple choice critical thinking skills test, the N-Gain value of improving critical thinking skills was in the high category. The application of the POE integrated PBL model is proven to be effective in improving students' critical thinking skills on alternative energy material and is recommended as an alternative 21st century learning in high schools.
Implementasi Model Inquiri Berbasis Simulasi PhET Untuk Meningkatkan Keterampilan Berpikir Kritis dalam Pembelajaran Fisika
Keterampilan berpikir kritis merupakan kompetensi abad ke-21 yang penting untuk menghadapi tantangan global. Hasil PISA 2022 menunjukkan kemampuan berpikir kritis siswa Indonesia masih rendah, hanya mencapai level 2. Pembelajaran fisika pada listrik arus searah melibatkan konsep abstrak yang memerlukan pendekatan inovatif. Penelitian ini menyelidiki efektivitas pembelajaran berbasis inkuiri menggunakan simulasi Physics Education and Technology (PhET) dalam meningkatkan keterampilan berpikir kritis pada listrik arus searah. Penelitian menggunakan desain pra-eksperimen dengan one-group pretest-posttest melibatkan 36 siswa kelas XII yang dipilih melalui purposive sampling. Instrumen yang digunakan adalah tes keterampilan berpikir kritis (skor 0-100). Data dianalisis menggunakan statistik deskriptif, uji t berpasangan, analisis N-Gain, dan perhitungan effect size. Hasil menunjukkan peningkatan dari rata-rata 64,06 menjadi 79,22 dengan gain score 15,17 poin dan N-Gain 0,350 yang termasuk kategori sedang. Uji t berpasangan menghasilkan t = 5,351 (p < 0,001), menunjukkan perbedaan yang signifikan. Analisis effect size mengungkapkan Cohen's d = 1,228 yang termasuk kategori efek besar. Sebanyak 94,4% siswa mengalami peningkatan keterampilan berpikir kritis, dengan 55,6% mencapai kategori sedang hingga tinggi dalam N-Gain. Temuan ini memberikan bukti empiris bahwa integrasi simulasi PhET dalam pembelajaran inquiri dapat menjadi strategi efektif untuk mengembangkan keterampilan berpikir kritis siswa. Pendekatan ini dapat diadopsi oleh pendidik untuk meningkatkan kualitas pembelajaran fisika, khususnya pada konsep-konsep abstrak.
Penerapan Model Discovery Learning Dalam Meningkatkan Pemahaman Konseptual Siswa Pada Materi Pengukuran
Penelitian ini bertujuan untuk mengetahui efektivitas model Discovery Learning dalam meningkatkan pemahaman konseptual siswa pada materi Pengukuran di salah satu SMA Kota Bandung, kelas X. Model ini mendorong siswa untuk aktif mengeksplorasi dan menemukan konsep melalui kegiatan praktik langsung (hands-on activities) dan pemecahan masalah. Penelitian menggunakan desain one-group pretest-posttest dengan partisipan 33 siswa. Materi yang dipelajari mencakup pengukuran besaran panjang, massa, waktu, serta besaran turunan dengan alat ukur mistar, jangka sorong, mikrometer sekrup, stopwatch, dan neraca. Siswa juga diarahkan untuk memahami konsep ketelitian alat ukur, angka penting, dan ketidakpastian pengukuran. Hasil penelitian menunjukkan adanya peningkatan pemahaman konseptual siswa yang diukur menggunakan skor N-Gain dengan rata-rata 0,565 kategori sedang. Analisis kualitatif memperlihatkan bahwa siswa lebih mampu menjelaskan hubungan antara hasil pengukuran dengan tingkat ketelitian serta menyadari adanya sumber kesalahan pengukuran. Dengan demikian, model Discovery Learning terbukti efektif dalam meningkatkan pemahaman konseptual siswa pada materi pengukuran
Implementasi Discovery Learning Berbantuan PhET untuk Meningkatkan Pemahaman Konsep Peserta Didik Materi Energi Alternatif
Pemahaman konsep peserta didik pada materi energi alternatif masih tergolong rendah. Hal ini disebabkan oleh minimnya keterlibatan peserta didik dalam proses belajar dan kurang menariknya media pembelajaran yang digunakan di dalam kelas. Penelitian ini bertujuan untuk mengidentifikasi peningkatan pemahaman konsep peserta didik pada materi energi alternatif setelah dilakukan pembelajaran menggunakan model Discovery Learning berbantuan simulasi interaktif PhET. Metode penelitian yang digunakan adalah quasi-experiment dengan desain one-group pretest-posttest. Sampel terdiri dari 36 peserta didik kelas X SMA di Kota Bandung. Instrumen yang digunakan untuk mengukur pemahaman konsep adalah tes uraian yang diberikan sebelum dan sesudah pembelajaran. Data dianalisis menggunakan gain ternormalisasi untuk mengetahui besar peningkatan pemahaman konsep peserta didik. Hasil analisis menggunakan gain ternormalisasi menunjukkan pada angka 0,9 yang terkategori tinggi. Hasil tersebut menunjukkan bahwa terjadi peningkatan pemahaman konsep peserta didik setelah diberikan perlakukan dengan menggunakan model Discovery Learning berbantuan PhET. Penelitian lanjutan dapat menguji efektivitas model serupa pada jenjang yang berbeda dan pada materi pembelajaran lainnya guna memperluas temuan.
Geothermal Estimation In Pantar, Nusa Tenggara Timur Based On Land Surface Temperature
Pantar Island in East Nusa Tenggara is one of the regions located on the Pacific Ring of Fire and is part of the active volcanic zone of Mount Sirung. This condition gives Pantar great geothermal potential, marked by surface manifestations in the form of hot springs and hot soil. However, the utilisation of geothermal energy in this region is still not optimal due to limited research specifically identifying prospective areas, coupled with high investment and exploration costs. This study aims to estimate geothermal areas on Pantar Island through analysis of surface temperature anomalies (Land Surface Temperature/LST) using a remote sensing approach. The data used are Landsat 9 images with Thermal Infrared Sensor (TIRS) bands. Anomalies were determined using the classify method, which groups temperature values into fewer categories, and the quantile method, which divides the data range into equal numbers of data. In general, temperatures above 37.8 °C are considered LST anomalies. The analysis results show four areas of surface temperature anomalies, with indications of geothermal areas in the northeast of Mount Sirung, covering several manifestations. These findings are expected to provide preliminary information on the geothermal potential of Pantar Island, which can serve as a basis for recommendations for further research and planning for the utilisation of geothermal energy that is economically viable, clean, and sustainable.
Analisis Multi-Panjang Gelombang Erupsi Filamen 29 September 2013
Geomagnetic disturbances in Earth's environment can be caused by Coronal Mass Ejections (CMEs) that reconnect with Earth's magnetic field. CMEs originate from the Sun, carrying magnetic fields from their source. There is a strong correlation between the magnetic flux ropes (FRs) of solar filaments and CMEs that lead to these terrestrial disturbances. CMEs can be initiated by either solar flares or quiescent filament eruptions. Key characteristics of filaments linked to CMEs include magnetic chirality patterns, flux rope (FR) configurations, sigmoid orientations, double ribbon flares, and post-eruptive arcades (PEAs). When a CME carries a flux rope (FR) into Earth's environment as an interplanetary CME (ICME) containing a magnetic cloud, it may subsequently trigger geomagnetic storms. Therefore, this study aims to analyze multi-wavelength filament eruption events to identify filament characteristics associated with geoeffective CMEs and geomagnetic storms. This study aims to analyze the filament eruption using multi-wavelength observations to identify filament properties linked to a geoeffective CME and subsequent geomagnetic storm. A quiet-Sun filament eruption on 29 September 2013 was examined. Automated identification of the filament’s chirality and tilt angle was conducted using H-alpha chromospheric images. The flux rope configuration, sigmoid structure, and PEA were analyzed using extreme ultraviolet (EUV) solar images, while the CME geometry was reconstructed using the Graduated Cylindrical Shell (GCS) fitting method. The filament detection results indicate a dextral chirality with a left-handed helical flux rope, showing a tilt angle of 71.1° consistent with the CME geometry. Examination of solar wind parameters reveals that the filament eruption, carried by a fast CME flux rope, generated a shock upon arrival at Earth. No magnetic cloud signatures were detected in the near-Earth environment. but the CME was geoeffective and triggered a moderate geomagnetic storm with Dst -72nT.
Problem Based Learning (PBL) Model in Pyhsics Learning: A Bibliometric Analysis
This study aimed to obtain a comprehensive overview of the trends and directions of research development on Problem Based Learning (PBL) in physics learning, as well as to identify the topics that are currently widely explored. The study was conducted through bibliometric analysis based on the PRISMA flow involving 54 Scopus-indexed documents published between 2015 and 2024. Data were analyzed using Publish or Perish and VOSviewer software to evaluate publication patterns, citations, countries, journal/proceedings, and keyword relationships. The results showed that the number of PBL publications in physics education tended to fluctuate, with 2019 identified as the most productive and influential year. Indonesia emerged as the dominant contributor, accounting for 90.7% (49 out of 54 publications), reflecting its leading role in advancing PBL research in physics education. Keyword analysis revealed that in recent years, PBL research has primarily focused on enhancing critical thinking skills, problem-solving abilities, and the integration of digital technology and STEM approaches into physics learning. These findings highlight the pedagogical significance of PBL in fostering higher-order thinking skills and contextual, technology-supported learning. This research recommends strengthening international collaborations and targeting high-impact journals to improve the visibility and influence of PBL-related research in the future.
Development of an IoT-Integrated Smart Water Quality Monitoring Device to Enhance Fish Farming Sustainability
A study has been conducted on the development of an Internet of Things (IoT)-based water quality monitoring device to support sustainability in freshwater fish farming. Water quality is a critical factor that affects fish health, growth, and productivity. Manual monitoring of water parameters is often inefficient and less responsive to environmental changes. To address this issue, an automated system was developed by integrating an ESP32 microcontroller with sensors for water temperature, pH, turbidity, and air humidity. Sensor data are transmitted in real-time via Wi-Fi and displayed on the Blynk application, allowing remote monitoring. The research methodology included hardware design and assembly, system programming, sensor integration, and functional testing in a semi-controlled environment. The test results showed that the system operates stably and provides accurate data. The recorded average pH was 7.25, water temperature ranged from 28–29°C, and turbidity was between 18–20 NTU, all of which fall within the optimal range for fish cultivation. This system demonstrates potential as an innovative solution for more efficient and data-driven aquaculture management. The implementation of this technology is expected to assist fish farmers in making timely and informed decisions based on real-time data.
Relocation Of Earthquake Distribution In The Bogor Region Using The Double-Difference Method (Hypodd)
This study aims to improve the accuracy of earthquake hypocenter distribution in the Bogor region by applying the Double-Difference relocation method using HypoDD. This study focuses on seismic data collected from 2023 to 2024 around Mount Salak and Halimun Salak National Park (TNGHS). A total of 219 earthquake events were processed, with 186 of them successfully relocated using the iterative least-squares inversion method. This method utilizes the time difference in the arrival of P and S waves from paired events recorded at the same station to reduce the effects of heterogeneity in the subsurface velocity model. The results showed a significant improvement in hypocenter accuracy, with most hypocenters shifting by 1–2 km and located at shallow depths of 5–20 km. The spatial distribution of post-relocation hypocenters forms a linear pattern that is thought to be associated with unmapped active faults and local volcanic zones. Temporally, seismic activity increased between December 2023 and January 2024, dominated by swarm activity potentially related to tectonic or volcanic processes. These results emphasize the importance of continuous seismic monitoring and integration of additional geophysical data to improve subsurface interpretation and support early warning and hazard mitigation in active seismic areas such as Bogor.
Efektivitas Strategi Deorbit Mega Konstelasi Satelit Starlink Periode Tahun 2019 - 2025
The growth of the Starlink satellite megaconstellation has led to a significant increase in the number of objects in low Earth orbit (LEO), contributing to a higher risk of collisions and the accumulation of space debris. This research analyzes the active deorbit strategies implemented by SpaceX to manage the end of operational life of Starlink satellites. The analysis was conducted based on the orbital decay trends from various launch batches and compared against passive decay scenarios. The results show that the active deorbit strategy thru propulsion systems and controlled maneuvers has proven to be more effective in reducing orbital density, with an average deorbit of 137 satellites per year during the period 2019–2025. This is significantly higher than the theoretical passive estimate of 16 satellites per year. These findings indicate that the implementation of active deorbit strategies plays a crucial role in efforts to mitigate space debris and ensure the operational sustainability of satellites in LEO.
Penerapan Model Think Pair Share terhadap Pemahaman Konsep Siswa pada Materi Gelombang Bunyi
Conceptual understanding plays a vital role in physics education, enabling students to develop logical thinking and construct scientific arguments based on evidence. However, many students struggle with abstract physics concepts and find it difficult to articulate their ideas clearly. This study aims to investigate the impact of the Think Pair Share (TPS) cooperative learning model on students’ conceptual understanding of sound waves. The research was conducted at a public senior high school in Bandung, involving 36 eleventh-grade students. A quasi-experimental method was employed using a one-group pretest-posttest design. The research instrument consisted of essay-type questions administered before and after the TPS implementation. Students’ conceptual understanding was assessed using normalized gain (n-gain). The results showed an n-gain score of 0.87, which is categorized as high. These findings suggest that the TPS model encourages active participation and peer discussion, which significantly improves students’ comprehension of physics concepts. Thus, the TPS model is a promising strategy for teaching abstract topics such as sound waves in high school physics.
Mapping Research Trends In Physics Learning Media: A Bibliometric Approach
Learning media can help learners understand subject matter that is difficult to comprehend concretely through visualization and contextually relevant approaches. Good learning media increases interest and motivation to learn and enriches students' learning experience. Not many researchers have mapped the trend of physics learning media research. This study will map physics learning media research trends over the past five years. The method used is bibliometric analysis. The scientific publications used amounted to 316 Scopus-indexed documents. Mapping of scientific publications using VOSviewer to show linkages, patterns, and density of research on the topic under study. The mapping results show that the trend of physics learning media research has decreased over the past five years. Thus, the results of this study are expected to provide a comprehensive picture of physics learning media research and its implications for educators and future researchers in developing physics learning media that are more effective and innovative and by technological advances in the future.
Development Of Group Investigation (Gi)-Based E-Modules To Improve Students' Science Literacy In Momentum And Impulse
This study is a research on developing an group investigation based e-modules to improve students' science literacy in momentum and impulse. The objectives of this study are to determine 1) The feasibility of the e-module based on group investigation, 2) The implementation of the group investigation learning model, and 3) The improvement of students' science literacy at a public high school in Bandung. The research approach used Research and Development (R&D) type ADDIE (Analysis, Design, Development, Implementation, and Evaluation) research method. The study resulted in 1) The development of an e-module based on group investigation that is feasible for use as teaching material for students based on the results of validation by subject matter experts and media experts with an average percentage of 84%; 2) The implementation of learning using the e-module based on group investigation over two sessions using the AABTLT with SAS strategy was effective with an average percentage of 81.5%; 3) An increase in students' science literacy after using the e-module based on group investigation was in the high category with an n-gain value of 0.81.
The Effect of Calcination Temperature Variation In Pineapple Leaf Adsorbent Preparation On Methylene Blue Adsorption Using NaCl Activator
The use of adsorbents has emerged as a potential solution in wastewater treatment, particularly in addressing pollution caused by heavy metals, dyes, and other organic compounds. However, one of the main challenges still encountered is the relatively low adsorption capacity of adsorbents compared to synthetic adsorbents, which is largely influenced by the pore structure of the adsorbent material. This study aims to optimize the adsorption capacity of pineapple leaf-based activated carbon through cellulose delignification and calcination at varying temperatures of 500°C, 600°C, and 700°C, and to analyze its effects on crystallinity, morphology, as well as adsorption efficiency and capacity for the Methylene Blue (MB) dye. The results show that the highest removal efficiency was achieved at a calcination temperature of 700°C, with an efficiency of 87.07% and an adsorption capacity of 42,27 mg/g. Conversely, the lowest efficiency was observed at 500°C, with an efficiency of 30.15% and an adsorption capacity of 18,09 mg/g. In line with this, morphological characterization revealed that the average pore depth of the adsorbent increased with higher activation temperatures. Thus, it can be concluded that higher calcination temperatures lead to greater adsorption efficiency and capacity of the resulting activated carbon.
Pengaruh Model Problem-Based Learning (PBL) terhadap Pemahaman Konsep Siswa pada Materi Perubahan Iklim
Pemahaman konsep merupakan kemampuan yang krusial dalam proses pembelajaran. Kurangnya kemampuan guru menentukan strategi pembelajaran yang tepat, berdampak pada rendahnya pemahaman konsep siswa. Penelitian ini bertujuan untuk mengetahui pengaruh model pembelajaran Problem Based Learning (PBL) terhadap pemahaman konsep siswa pada materi Perubahan Iklim di tingkat SMA. Penelitian dilaksanakan di salah satu SMA di Kota Bandung menggunakan pendekatan kuantitatif. Metode yang digunakan adalah quasi experiment dengan desain Nonequivalent Control Group Design. Sampel penelitian terdiri dari dua kelas, yaitu kelas eksperimen (38 siswa) dan kelas kontrol (38 siswa). Instrumen yang digunakan berupa tes pemahaman konsep dalam bentuk pilihan ganda pada materi Perubahan Iklim. Data dianalisis menggunakan uji Shapiro–Wilk, uji Mann–Whitney, Uji Normalitas N-Gain & Uji Effect Size r. Hasil uji Shapiro–Wilk menunjukan bahwa data tidak terdistribusi normal sehingga menggunakan uju Mann–Whitney. Uji Mann-Whitney pada pretest menunjukkan tidak terdapat perbedaan signifikan antara kedua kelompok (p > 0,05) yang mengindikasikan Terdapat kesetaraan awal, sedangkan pada posttest terdapat perbedaan yang signifikan (p < 0,05), yang mengindikasikan adanya pengaruh dari penerapan model PBL. Perhitungan N-Gain menunjukkan bahwa peningkatan pemahaman konsep pada kelas eksperimen (0,76; kategori tinggi) lebih tinggi dibandingkan dengan kelas kontrol (0,33; kategori sedang). Selain itu, analisis effect size menunjukkan nilai r = 0,48 (kategori sedang), yang mengindikasikan bahwa model pembelajaran PBL memberikan pengaruh yang cukup kuat terhadap peningkatan pemahaman konsep siswa. Implikasi penelitian ini menunjukkan bahwa penerapan model Problem Based Learning (PBL) dapat membantu guru dalam meningkatkan pemahaman konsep pada materi perubahan iklim.
Pemodelan Evolusi Sistem Bintang Ganda Tipe Algol Berbantuan MESA (Modules for Ekxperiments in Stellar Astrophysics) : Studi Kasus DN Orionis
The DN Orionis binary star system was a semi-detached binary undergoing mass transfer using Roche Lobe Overflow (RLOF) mechanism. This process played a role in the evolution of both stars, influencing physical parameters such as mass, radius, effective temperature, and orbital dynamics. This study aimed to analyze the impact of mass transfer on the evolution of both stars, focusing on changes in their parameters after the mass transfer ended without extending to their final evolutionary stages. Using MESA (Modules for Experiments in Stellar Astrophysics), the evolution of the DN Orionis system was modeled. Initially, the primary star had a smaller mass M = 1.8 Msun than the secondary M = 3.1 Msun, with an orbital period of P = 2.5 days. Mass transfer increased the primary’s mass to M = 2.9 Msun, while the secondary lost most of its mass, leaving M = 0.23 Msun. The radii and effective temperatures of both stars changed significantly: the secondary’s radius contracted from R = 5.67 Rsun to R = 0.0174 Rsun, while the primary expanded from R = 1.5 Rsun to R = 25.72 Rsun. The primary evolved into a sub-red giant with a effective temperature log Teff = 3.688, while the secondary became a white dwarf with a effective temperature log Teff = 4.2682. Angular momentum redistribution caused the orbital period to increase to P = 20.9 days. This study provided insights into how mass transfer shaped the evolution and parameters of semi-detached binary stars before reaching their final evolutionary stages, demonstrating that significant mass ratio inversion and orbital period expansion are key outcomes of Roche Lobe Overflow in systems like DN Orionis.