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Fakultas Ilmu Tarbiyah dan Keguruan, Program Studi Pendidikan Fisika Jl.Prof.K.H.Zainal Abidin Fikri KM.3,5 Palembang, Sumatera Selatan,30126, Indonesia
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JIFP (Jurnal Ilmu Fisika dan Pembelajarannya)
Published by Universitas Islam Negeri Raden Fatah Palembang
ISSN : 26147467     EISSN : 25496158     DOI : https://doi.org/10.19109/JIFP
Core Subject : Science, Education,
Education Physics
JIFP (Jurnal Ilmu Fisika dan Pembelajarannya) is an integrated forum for communicating scientific advances in the field of physics and education physics. The journal reports significant new findings related to physics (Materials, Computation, and Theory) and education physics (learning media development, learning methods development, learning methods implementation and several application of physics). JIFP (Jurnal Ilmu Fisika dan Pembelajarannya) publishes comprehensive research articles and invited reviews by leading expert in the field. Papers will be selected that high scientific merit, impart important new knowledge, and are of high interest to physics and education physics community. This Journal is firstly published in 2017 and periodically published twice per year.
Arjuna Subject : Fisika dan Astronomi - Fisika dan Astronomi (Lain-Lain)
Articles 109 Documents
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Pengembangan E-LKPD Berbasis Somatic Auditory Visualizyion Intellectualy Menggunakan Live worksheet Pada Materi Suhu dan Kalor ayaa, Wiltia; Rahmi, Aidhia; Anaperta, Megasyani
Jurnal Ilmu Fisika dan Pembelajarannya (JIFP) Vol 8 No 2 (2024): Jurnal Ilmu Fisika dan Pembelajarannya (JIFP)
Publisher : Program Studi Pendidikan Fisika, UIN Raden Fatah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19109/22p4b625

Abstract

In learning physics, students are less enthusiastic and less active when studying physics. This is because the teaching materials used by students are not in accordance with the students' learning styles and the LKPD used by educators during the learning process does not attract students' interest in learning because it only displays pictures and questions. The aim of this research is to Develop an E-LKPD based on Somatic Auditory Visualization Intellectualy using live worksheets on heat material in class XI SMA that is valid and practical. This type of research is 4D model development research which has four stages, namely: Define, Design, Development and Disseminate. The subjects in this research were 33 educators and students in class XI of the UNP Laboratory Development High School, Padang City. The instruments used in this research were a validity questionnaire and a practicality questionnaire.  Then the data that has been obtained is analyzed to see the validity and practicality of the teaching materials. Based on the results of data analysis, it was found that the E-LKPD based on Somatic Auditory Visualization Intellectualy using live worksheets developed was categorized as very valid with an overall average of 86.5%. Apart from that, teaching materials are categorized as very partial with an overall average of 94.16%
IMPLEMENTATION OF MACHINE LEARNING FOR RAINFALL PREDICTION IN SMOKE-PRONE AREAS OF SOUTH SUMATRA Rahmannisa, Amanda; Ariska, Melly; Siahaan, Sardianto Markos; Seprina, Iin
Jurnal Ilmu Fisika dan Pembelajarannya (JIFP) Vol 9 No 2 (2025): Jurnal Ilmu Fisika dan Pembelajarannya (JIFP)
Publisher : Program Studi Pendidikan Fisika, UIN Raden Fatah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19109/h8s3w172

Abstract

Haze caused by forest and land fires is a serious problem in South Sumatra Province. One mitigation effort that can be made is to improve the accuracy of rainfall predictions, because rain plays an important role in reducing the potential for fires. This study implements machine learning methods, namely XGBoost and ConvLSTM, to predict spatiotemporal rainfall in areas prone to haze. The results show that ConvLSTM is capable of providing better predictions than the baseline, especially during periods of haze, by considering missing data imputation and masking techniques for disrupted satellite conditions. Increasingly apparent climate change in tropical regions has had a significant impact on rainfall patterns, particularly in South Sumatra, which is one of Indonesia's main agricultural and plantation centers. High rainfall variability can lead to the risk of flooding and drought, as well as disrupting productivity in the education, health, and economic sectors. Therefore, a more accurate rainfall prediction approach is needed to support climate adaptation planning and disaster risk mitigation. This study aims to compare the performance of three approaches to daily rainfall prediction, namely the ConvLSTM-based method, XGBoost, and Persistence, using daily observation data from BMKG for the South Sumatra region for the period 1981–2020. The input variables include average air temperature (Tavg), humidity, sunshine duration, and wind speed, while rainfall is used as the prediction target. The analysis was conducted through a time series approach, statistical distribution, and model performance evaluation using the quantitative metrics Root Mean Square Error (RMSE) and Critical Success Index (CSI). The results show that the ConvLSTM model produced the highest accuracy with an average RMSE of 10 mm/day and a CSI of 0.53, which is better than XGBoost (RMSE 12 mm/day; CSI 0.48) and the persistence method (RMSE 15 mm/day; CSI 0.40). Distribution analysis indicates that light to moderate rainfall occurs more frequently, while extreme rainfall occurs sporadically. The correlation heatmap shows that rainfall has a moderate positive relationship with humidity and a negative relationship with solar radiation, while average temperature and wind play a smaller role. The main contribution of this study is to provide empirical evidence that spatiotemporal deep learning methods such as ConvLSTM are superior in modeling the complexity of tropical rainfall dynamics compared to classical machine learning approaches and simple models. These findings can serve as a basis for the development of early warning systems and interactive climate dashboards at the regional level, while enriching the literature on rainfall prediction in tropical regions using an integrative approach.
DEVELOPMENT OF A CLIMATE CHANGE E-MODULE THROUGH ANALYSIS OF RAINFALL TRENDS AND PATTERNS TO ENHANCE THE 4C SKILLS OF PROSPECTIVE PHYSICS TEACHERS Widya, Herma; Nurhamidah; Jhoni, Muhammad
Jurnal Ilmu Fisika dan Pembelajarannya (JIFP) Vol 9 No 2 (2025): Jurnal Ilmu Fisika dan Pembelajarannya (JIFP)
Publisher : Program Studi Pendidikan Fisika, UIN Raden Fatah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19109/ka9a1m03

Abstract

Climate change education demands innovative strategies that equip future educators with both scientific understanding and 21st-century teaching skills. This study aims to develop and evaluate an inquiry-based e-module on climate change, centered around local rainfall trend data, to enhance the conceptual knowledge and 4C competencies—critical thinking, creativity, collaboration, and communication—of pre-service physics teachers in Indonesia. The research employed the ADDIE instructional design model and involved validation by experts and pilot implementation with 57 student teachers. The e-module was developed using multimedia tools and structured around guided inquiry stages. Validation results indicated high content and media quality, while effectiveness testing showed a significant increase in cognitive learning, with a mean N-Gain score of 0.71. Performance assessments also revealed very high achievements across all 4C dimensions. Participants demonstrated improved analytical reasoning, contextual problem-solving, and scientific communication skills.These findings suggest that integrating local climate data into inquiry-based digital learning modules fosters both cognitive and competency-based outcomes. The module aligns with curricular standards and responds to the growing need for climate-responsive teacher education. It provides a scalable model for future implementation in diverse educational settings and contributes to the advancement of environmental literacy and data-driven pedagogy in science education..
THE EFFECT OF BACKGROUND COLOR VARIATIONS ON THE LIGHT INTENSITY RECEIVED BY A LIGHT DEPENDENT RESISTOR (LDR) SENSOR Fauziyyah, Rifa; Afrida, Juniar
Jurnal Ilmu Fisika dan Pembelajarannya (JIFP) Vol 9 No 2 (2025): Jurnal Ilmu Fisika dan Pembelajarannya (JIFP)
Publisher : Program Studi Pendidikan Fisika, UIN Raden Fatah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19109/qxcdcs36

Abstract

This study aims to analyze the effect of background color variation on the light intensityreceived by a Light Dependent Resistor (LDR) sensor. This study uses an experimentalmethod with a light source in the form of an LED lamp directed at white, black, red,green, blue, and yellow backgrounds. The sensor readings were obtained throughArduino Uno with the measurement results displayed in the form of Analog to DigitalConverter (ADC) values and converted into lux units. Data collection was carried outby repeating several times for each background color, then analyzed descriptively todetermine the relationship between color and sensor response. The results showed thatthe average ADC value was 1023, while the average light intensity was 139 lux,indicating that background color variation did not cause significant differences. Thesefindings suggest that other factors, such as LED light stability, distance betweencomponents, and the LDR's sensitivity limitations to certain wavelengths, had a moredominant influence on the results. The conclusion of this study is that background colorvariation does not significantly affect the LDR sensor response under the experimentalconditions used. This study contributes to physics education through an understandingof instrument limitations and the presentation of simple experiments that link opticaltheory with practical measurement results.
IMPROVING CONCEPTUAL UNDERSTANDING IN QUANTUM PHYSICS THROUGH THE IMPLEMENTATION OF A DIGITAL VISUALIZATION-BASED ARCS-V Cahyati, Nilam; Supardi; Andriani, Nely; Akhsan, Hamdi; Markos Siahaan, Sardianto
Jurnal Ilmu Fisika dan Pembelajarannya (JIFP) Vol 9 No 2 (2025): Jurnal Ilmu Fisika dan Pembelajarannya (JIFP)
Publisher : Program Studi Pendidikan Fisika, UIN Raden Fatah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19109/9r55r562

Abstract

Quantum Physics is a compulsory course for Physics students that requires both mathematical and conceptual understanding. A survey of 41 Physics Education students at Sriwijaya University revealed that 85.7% experienced difficulties in learning Quantum Physics. Specifically, 79.5% struggled with formula derivations, 63.6% with problem-solving, and 47.7% with the language used. The Schrödinger equation is one of the most difficult topics as it involves the relationship between wave functions, energy, and probability. This study aimed to develop digital teaching materials based on the ARCS-V (Attention, Relevance, Confidence, Satisfaction, and Volition) motivational approach to support students’ understanding of Quantum Physics concepts. The Rowntree development model was applied, consisting of planning, development, and evaluation stages, along with Tessmer’s formative evaluation, including self-evaluation, expert review, one-to-one evaluation, and small group evaluation. Expert validation results showed a 97.5% (very valid) feasibility level, while student responses in the trial stage reached 89.6% (very practical). The digital visualization of the wave function Ψ(x,t), eigenstates in a one-dimensional potential well, and the |Ψ|² graph effectively helped students relate the Schrödinger equation to the concepts of energy quantization and probability.
NEEDS ANALYSIS FOR THE DEVELOPMENT OF STEM-BASED INTERACTIVE LEARNING MEDIA ON RENEWABLE ENERGY MATERIALS - MICRO HYDRO POWER PLANTS FOR HIGH SCHOOL STUDENTS Maharani, Senandung Senja Citra; Wiyono, Ketang; Astra Patriot, Evelina
Jurnal Ilmu Fisika dan Pembelajarannya (JIFP) Vol 9 No 2 (2025): Jurnal Ilmu Fisika dan Pembelajarannya (JIFP)
Publisher : Program Studi Pendidikan Fisika, UIN Raden Fatah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19109/bmw60538

Abstract

Pembelajaran fisika terkait energi terbarukan, terutama Pembangkit Listrik Tenaga Mikro Hidro (PLTMH), seringkali dianggap sulit karena sifatnya yang abstrak, teoretis, dan minim visualisasi. Kondisi ini menyulitkan siswa untuk memahami konsep dan menghubungkannya dengan kehidupan nyata. Penelitian ini bertujuan untuk memperoleh data awal guna mengembangkan rancangan awal media pembelajaran interaktif berbasis STEM tentang energi terbarukan (PLTMH) bagi siswa SMA. Metode yang digunakan adalah penelitian deskriptif kualitatif, yang menggabungkan studi pustaka dan studi lapangan. Studi lapangan dilakukan di SMA Negeri 1 Kikim Selatan, melibatkan dua guru fisika dan 119 siswa kelas X. Data diperoleh melalui kuesioner dan dianalisis menggunakan teknik reduksi, penyajian, dan penarikan kesimpulan. Hasil penelitian menunjukkan bahwa materi PLTMH didominasi oleh konsep dan proses abstrak yang dapat menimbulkan miskonsepsi tanpa contoh konkret. Guru menilai media yang ada bermanfaat tetapi terbatas, sementara siswa merasa materi tersebut sulit dipahami, terlalu teoretis, dan tidak relevan dengan kehidupan nyata. Guru dan 91,6% siswa mendukung pengembangan media interaktif berbasis STEM karena dianggap memadai untuk memvisualisasikan konsep dan meningkatkan keterlibatan siswa. Dengan demikian, pengembangan media ini penting untuk menjembatani kesenjangan antara gagasan teoritis dan aplikasi dunia nyata dalam pembelajaran fisika.  
Indonesia febriana, sugifebriana_16; Febriana, Sugi; Ariani, Tri
Jurnal Ilmu Fisika dan Pembelajarannya (JIFP) Vol 9 No 2 (2025): Jurnal Ilmu Fisika dan Pembelajarannya (JIFP)
Publisher : Program Studi Pendidikan Fisika, UIN Raden Fatah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19109/a22tt894

Abstract

This article aims to examine the development of practical instructions based on Contextual Teaching and Learning (CTL) as an effort to improve students' learning outcomes and communication skills through a literature review approach. The writing of this article was motivated by the need for a learning model that not only focuses on cognitive aspects, but also strengthens communication skills and understanding concepts through learning experiences that are relevant to life contexts. The method used is a literature review by examining various appropriate research results, including articles in national journals indexed by SINTA (S1–S5) which discuss the application of CTL in practicum activities. Data were analyzed using a descriptive-comparative approach to reveal patterns, effectiveness, and supporting factors and challenges in implementing CTL in practicum-based learning. The results of the study show that CTL-based practicum guides consistently provide a positive impact on improving learning outcomes through active student involvement and direct learning experiences, as well as helping develop scientific communication skills. It is hoped that this article will become a reference source for educators and researchers in designing learning strategies that are contextual, collaborative, and in line with the competency needs of the 21st century.
EVALUATION OF THE MICROTEACHING COURSE PROGRAM USING THE CIPP MODEL: OPTIMIZING DIGITAL TECHNOLOGY TO ENHANCE PROSPECTIVE PHYSICS TEACHERS’ TEACHING READINESS Sriyati, Siti; Nahadi; Liliawati, Winny; Hamidah, Ida; Warliani, Resti
Jurnal Ilmu Fisika dan Pembelajarannya (JIFP) Vol 9 No 2 (2025): Jurnal Ilmu Fisika dan Pembelajarannya (JIFP)
Publisher : Program Studi Pendidikan Fisika, UIN Raden Fatah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19109/xn050927

Abstract

This study aims to evaluate the Microteaching course program in the Physics Education Study Program using the CIPP (Context, Input, Process, Product) evaluation model and to analyze the role of digital technology in enhancing prospective teachers’ teaching readiness. Data were collected through questionnaires, interviews, analysis of the course syllabus (RPS), and video documentation of Microteaching practices. Participants consisted of 19 seventh-semester students, one course instructor, and the Head of the Study Program. The Context evaluation showed that all components of the course syllabus were available and that there was a 100% alignment among Program Learning Outcomes (CPL), Course Learning Outcomes (CPMK), and course content. Regarding Input, students demonstrated good academic prerequisites, as indicated by 90% of them obtaining an A in the Physics Lesson Planning course; however, only 21.1% owned relevant textbooks, and facilities such as a dedicated Microteaching room and documentation equipment still require improvement. The Process evaluation revealed that 100% of students used technology in their Microteaching practices, particularly through presentation media, virtual simulations, and instructional videos, and some of them utilized artificial intelligence (AI) tools to support lesson planning. The Product evaluation indicated that most students achieved high final grades in the Microteaching course and reported positive perceptions of its contribution to their teaching readiness. These findings highlight the importance of strengthening students’ digital literacy, providing adequate facilities specifically designed for Microteaching, and systematically training teaching skills that integrate digital technology in order to further optimize the quality of the Microteaching course.
Karakterisasi Pasir Besi (Fe3O4) Sungai Seruai Kabupaten Deli Serdang Yusuf Lubis, Ridwan; Maharani Rangkuti, Dea; Lubis, Haryati; Masthura; Husnah, Miftahul
Jurnal Ilmu Fisika dan Pembelajarannya (JIFP) Vol 7 No 2 (2023): Jurnal Ilmu Fisika dan Pembelajarannya (JIFP)
Publisher : Program Studi Pendidikan Fisika, UIN Raden Fatah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19109/jifp.v7i2.19858

Abstract

In this research, iron sand was obtained from the Sei Serayu river in Deli Serdang Regency. The method for extracting iron sand is by manual extraction using a permanent magnet. The samples that have been obtained are then given temperature treatment with variations of 500 o C, 600 o C and 700 o C so that the iron sand undergoes oxidation. Next, the samples that have been heat treated are characterized using XRD, SEM and XRF. From the XRD test results it was found that the sample consisted of Fe3O4 with a magnetite phase. XRD diffraction peaks were obtained at angles 2θ: 17.26 o, 29.98 o, 35.4 o, 43.16 o, 57.08 o, and 62.56 o. SEM test results show that sample D contains magnetite (Fe3O4) with a silver color. Based on the analysis of test results, it can be concluded that the most optimal results are found in sample D with a sintering temperature of 700o C.

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