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All Journal Jurnal Geliga Sains: Jurnal Pendidikan Fisika Jurnal Penelitian Fisika dan Aplikasinya (JPFA) Phi : Jurnal Pendidikan Fisika dan Terapan JURNAL ILMIAH PENDIDIKAN FISIKA AL BIRUNI Jurnal Pendidikan Fisika Edufisika: Jurnal Pendidikan Fisika JOURNAL ONLINE OF PHYSICS Berkala Ilmiah Pendidikan Fisika Jurnal Inovasi dan Pembelajaran Fisika Sriwijaya University Learning and Education International Conference Science and Technology Indonesia JIPFRI (Jurnal Inovasi Pendidikan Fisika dan Riset Ilmiah) JPPPF (Jurnal Penelitian dan Pengembangan Pendidikan Fisika) Seminar Nasional Pendidikan IPA Jurnal Penelitian Pendidikan IPA (JPPIPA) Jurnal Ilmiah Pendidikan Fisika Spektra: Jurnal Fisika dan Aplikasinya Al-Madrasah: Jurnal Ilmiah Pendidikan Madrasah Ibtidaiyah Jurnal Ilmu Fisika Jurnal Dedikasi Pendidikan Indonesian Physical Review Jurnal Inovasi Pendidikan Jurnal Teori dan Aplikasi Fisika Jurnal Kumparan Fisika Kappa Journal JURNAL PENDIDIKAN MIPA Jurnal Ilmiah Profesi Pendidikan Bubungan Tinggi: Jurnal Pengabdian Masyarakat Optika : Jurnal Pendidikan Fisika Integrated Science Education Journal Djtechno: Jurnal Teknologi Informasi JagoMIPA: Jurnal Pendidikan Matematika dan IPA Magnetic: Research Journal of Physics and It’s Application Pillar of Physics Education : Jurnal Berkala Ilmiah Pendidikan Fisika Pillar of Physics: Jurnal Berkala Ilmiah Fisika Unram Journal of Community Service (UJCS) Jurnal Literasi Pendidikan Fisika (JLPF) JIFP (Jurnal Ilmu Fisika dan Pembelajarannya) Prisma Sains: Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Progressive Physics Journal Aceh International Journal of Science and Technology Indonesian Research Journal on Education Innovative: Journal Of Social Science Research Jurnal Pendidikan dan Pengabdian Masyarakat Physics and Science Education Journal (PSEJ) Indonesian Journal of Education Research (IJoER) Jurnal Pendidikan Fisika Jurnal Pendidikan MIPA Sriwijaya University Learning and Education International Journal JIPFRI (Jurnal Inovasi Pendidikan Fisika dan Riset Ilmiah) Pedagogi: Jurnal Pendidikan Dasar BULETIN FISIKA
Hamdi Akhsan
Department Of Physics Education Faculty Of Teaching And Education, Sriwijaya University, Indralaya, 30139, Indonesia
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Physics Public Health Social Sciences Other

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Machine Learning to Predict Climate Change in Coastal Areas of Indonesia Huriyatul Firdausi; Melly Ariska; Sardianto Marcos Siahaan; Hamdi Akhsan; Yenny Anwar; Iin Seprina; Taufiq Taufiq
BULETIN FISIKA Vol. 27 No. 1 (2026): BULETIN FISIKA
Publisher : Departement of Physics Faculty of Mathematics and Natural Sciences, and Institute of Research and Community Services Udayana University, Kampus Bukit Jimbaran Badung Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/BF.2026.v27.i01.p05

Abstract

Indonesia's coastal regions face significant threats from climate change, including rainfall uncertainty, rising temperatures, and sea level rise. This study aims to explore the potential of machine learning algorithms in predicting climate parameter changes in the coastal areas of Minangkabau, Pesawaran, and Maritim Panjang. Daily climatological data obtained from the Meteorology, Climatology, and Geophysics Agency (BMKG) were used as the basis for model training. Three primary algorithms were tested Random Forest, XGBoost, and Long Short-Term Memory (LSTM) selected for their capability to handle complex and temporal data. The research methodology included data preprocessing, model training, cross-validation, and predictive performance evaluation using metrics such as Root Mean Square Error (RMSE), Mean Absolute Error (MAE), and the coefficient of determination (R²). Preliminary results show that LSTM excels in time series prediction, while XGBoost offers a good balance between speed and accuracy. These findings indicate that machine learning-based approaches have strong potential as decision-support tools for climate change mitigation and adaptation planning in Indonesia’s coastal regions.
Integrating Local Wisdom in Science: Development and Validation of Ethnoscience Teaching Modules for Improving Science Literacy of Junior High School Students Sutanto, Taufiq; Akhsan, Hamdi; Kistiono, Kistiono
Integrated Science Education Journal Vol 7 No 1 (2026): January
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/isej.v7i1.2344

Abstract

Purpose of the study: The low level of science literacy among Indonesian students requires innovative and contextual learning approaches. This study aims to develop and test the validity of an Ethnoscience-Based Teaching Module on the subject of Vibrations and Waves. The uniqueness of the module lies in its deep integration of the local wisdom of East OKU Regency as a learning context to bridge abstract scientific concepts with the cultural reality of students. Methodology: This study used the Research and Development (R&D) method with a 4-D model, limited to the Develop stage. Validation was carried out by four experts (material, media, language, and culture) using adapted assessment instruments. Quantitative data were analyzed using Aiken's V coefficient. Main Findings: The developed ethnoscience-based teaching module was declared "Highly Valid" with an average Aiken’s V score of 0.90. All validation aspects scored highly: subject matter (0.90), media design (0.88), language (0.85), and cultural integration (0.95). The module is therefore feasible for further testing. Novelty/Originality of this study: The developed module has met the eligibility criteria in terms of content, design, language, and authentic cultural integration. The implication of this research is the availability of valid and contextual teaching materials, which are ready to be further tested for their effectiveness in learning to improve science literacy while building students' cultural awareness.
DEVELOPMENT, FEASIBILITY, AND EFFECTIVENESS OF INCLUSIVE STEM MODULE BASED ON SDGS FOR SLOW LEARNERS Winarni, Kiki Ayu; Akhsan, Hamdi; Kistiono, Kistiono; Anggelina, Putri
EduFisika: Jurnal Pendidikan Fisika Vol 10 No 3 (2025): EduFisika: Jurnal Pendidikan Fisika Volume 10 Nomor 3 December 2025
Publisher : Program Studi Pendidikan Fisika FKIP Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59052/edufisika.v10i3.49875

Abstract

Teaching slow-moving learners the abstract science concepts such as Elements, Compounds, and Mixtures can be difficult as they need concrete instructions and less cognitive load. The learning materials available cannot be expected to have the particular accessibility elements that can bridge this cognitive divide. The current study attempts this integration for the first time, combining Universal Design for Learning and a STEM-SDGs approach specifically to support slow learners. The study aimed to create a valid, usable, beneficial-inclusive module for Phase D (Grade VIII) students using the R & D approach (ADDIE model). The study incorporated six expert validators, a practicality trial to slow learners (N=10) and a quasi-experimental field study with 73 learners (Experimental N=34 vs Control N=39). The module had a rating of V-Aiken of 0.87 (Very Valid) and 92.1% was rated as Very Practical. Effectiveness testing showed that the module had a significant positive differentiating factor as the experimental group had evidence of a “High” N-Gain (0.78) as opposed to the Medium (0.40) of the control group. The findings of the study attest that the module based on UDL was effective in bridging difficult concepts and can be an adaptative resource to attain Equity in Science Education.
Attempt to Train Computational Thinking Skills Among Students of SMP Negeri 5 Indralaya Utara, Tanjung Baru Village: Introduction and Training on the Using of Basic Coding Through the Pictoblox 4.0 Application Patriot, Evelina Astra; Akhsan, Hamdi; Wiyono, Ketang; Saparini; Aulia, Maghfira; Rahman, Nor Farahwahidah Abdul; Halim, Noor Dayana Abd; Manurung, Nia Three; Sari, Isma; Wijayanti, Putri; Juliansyah, Dendi; Oktasari, Tina
Unram Journal of Community Service Vol. 6 No. 4 (2025): December: In Progress
Publisher : Pascasarjana Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ujcs.v6i4.1272

Abstract

Current technological developments require the education sector to engage in continuous innovation to advance the quality of future generations. Coding and artificial intelligence are forms of innovation that can be integrated into learning activities. To equip students with these skills, this community service program aims to introduce and train students in the use of simple block coding through the use of 4.0 applications. The training and community service activities were carried out over a period of 3 months with a target of 25 junior high school students in Tanjung Baru Village. The training was carried out through a series of activities, namely (a) conducting a preliminary test; (2) delivering material on the use of block coding for learning, the use of the Pictoblox 4.0 application, and the creation of simple games and chatbots; and (3) conducting a final test. The N-gain percentage result was 89.5%. This percentage is high, indicating that there is a significant effect on improving students' computational thinking skills. The implementation of this activity had a positive impact on the training participants. This is demonstrated by the evaluation results, which indicate that this community service activity will continue with other innovative activities. The implication of this community service activity is to provide innovative coding and artificial intelligence learning activities that are integrated into the curriculum.
Application of Physics-Informed Neural Networks (PINNs) for the Numerical Solution of the Time-Independent Schrödinger Equation Akhsan, Hamdi; Khoirun Nisa; Nurhikmah, Putri; Wailaina; Ariska, Melly
Progressive Physics Journal Vol. 6 No. 2 (2025): Progressive Physics Journal
Publisher : Program Studi Fisika, Jurusan Fisika, FMIPA, Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/6881zx10

Abstract

This work investigates the application of Physics-Informed Neural Networks (PINNs) for numerical solutions to the time-independent Schrödinger equation of the quantum harmonic oscillator in one, two, and three spatial dimensions. Fully connected neural architectures are constructed to approximate wavefunctions over finite symmetric domains, while the corresponding energy eigenvalues are treated as trainable parameters. The training strategy utilizes randomly sampled interior points to enforce the Schrödinger operator residual and boundary points to impose vanishing wavefunction constraints. For the 1D quantum harmonic oscillator, the learned ground-state wavefunction yields an energy of E = 1.2939 after 12,000 iterations. In the 2D configuration, convergence is achieved at E = 2.1352 within 14,000 iterations, whereas the 3D model attains E = 2.6377 after 12,000 iterations. These values agree with the expected trend of increasing ground-state energy with dimensionality, although deviations from exact analytical values indicate that PINNs may experience optimization challenges and sensitivity to sampling density and boundary enforcement. Despite these limitations, the trained models successfully capture the characteristic spatial symmetries and Gaussian-like envelope of harmonic oscillator eigenstates across all dimensions. These findings demonstrate that PINNs offer a flexible, mesh-free alternative for solving stationary quantum systems, particularly when analytical or conventional numerical approaches become impractical. The method shows strong potential for higher-dimensional quantum applications, even though further refinement such as improved sampling, loss balancing, and network depth remains necessary to suppress residual error and enhance eigenvalue accuracy.
PENGARUH DURASI DAN WAKTU BELAJAR DI RUMAH TERHADAP HASIL BELAJAR IPA SISWA SMP DAN MTS DI PULAU RIMAU, KABUPATEN BANYUASIN TAHUN AJARAN 2024/2025 Hamdi Akhsan; Sutinah, Eka; Kistiono, Kistiono
Physics and Science Education Journal (PSEJ) Physics and Science Education Journal (PSEJ), Volume 5 Nomor 3, Desember 2025
Publisher : Physics Education Departement, Islamic State University Sulthan Thaha Saifuddin Jambi - Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30631/rga37y22

Abstract

Studying at home plays an important role in improving student achievement, especially in science subjects that are both conceptual and challenging. This study aimed to examine the effect of the duration and time of study at home on students' science learning outcomes. The approach used was quantitative, with a survey and documentation design. The population included all junior and senior high school students in Pulau Rimau in the 2024/2025 school years. A sample of 170 students was selected using Proportional Stratified Sampling. An analysis was conducted to determine the effects of each variable on learning outcomes. The analysis showed that the study duration had a significant effect on learning outcomes (p<0.05). Tukey's HSD further test showed that students who studied less than one hour per day had significantly lower learning outcomes than students who studied 1-2 hours or more than 2 hours. In contrast, the study time showed no significant effect (p>0.05). This finding suggests that the allocation of at least one hour of study time per day contributes positively to science-learning outcomes. Collaboration between parents and teachers so that the duration of study at home is optimal for science achievement.
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.
Co-Authors Abidin Pasaribu Abidin Pasaribu Abidin Pasaribu, Abidin Adam Darmawan Ade Kurniawan Ade Kurniawan Agustina, Atika Aji, Dwi Purnomo Anggelina, Putri Apit Fathurohman Ardiantini, Devi Arini Rosa Sinensis Atika Agustina Aulia, Maghfira Ayu Sekar Sari Azizah Putri Berimah Berimah, Azizah Putri Cahyati, Nilam Damayanti, Fitria Siska Dwi Purnomo Aji Dwicahyani, Rania Edray, Auliya Einsrizkianne Elsie Sulastry Fahreza, Muhammad Aditya Fajriah, Nurkholisa Fatonah, Amelia Febrianti, Tanti Fena Siska Putriyani Fika Nurul Hidayati Fitria Siska damayanti Fitriyani Fitriyani Guruh Sukarno Putra Halim, Noor Dayana Abd Huriyatul Firdausi Husna, Tsabita Iful Amri Iin Seprina Ina Agustina Intan Purnama Sari Ishkaq Iskandar Iskhaq Iskandar Iskhaq Iskandar Iskhaq Iskandar Iskhaq Iskandar Ismet Ismet Ismet Ismet, Ismet Ismet, I. Izzah Nurhidayah, Izzah Jesi Pebralia Juliansyah, Dendi Juwita Febrianti Kartika, Nadia Dwi Ketang Wiyono Ketang Wiyono Ketang Wiyono KHOIRUN NISA Kistiono Kistiono Kistiono Kistiono Kistiono Komarudin Komarudin Kurnia, Mega Lara Sania Laras Sapitri, Cindy Leni Marlina Leni Marlina Lestari, Yora Inda Lira, Lira Lismayana, Pegi Putri M. FURQON Mahdiah, Intan Mahmudah, Indri Maliya, Fina Manurung, Nia Three Markos Siahaan, Sardianto Melly Ariska Melvany, Nanda Eva Miftahul Jannah Mindia Vanessa Pratiwi, Sri Muhamad Yusup Muhammad afrizal Muhammad Aufa Riyaldo Muhammad Irfan Muhammad Irfan Muhammad Irfan Muhammad Irfan Muhammad Irfan Muhammad Muslim Muhammad Muslim muhammad muslim Muhammad Muslim, Muhammad Muhammad Romadoni Muhammad Romadoni Muhammad Yusuf Muhammad Yusup Murnia Murniati Murniati . Muslimah, Resta Ulis Mutia Faradini Ramadhanty Napitupulu, Yendri Tri Hartati Nasiroh, Anisa Qoriq Atun Nazhifah, Rizqia Nely Andriani Nely Andriani, Nely Nestity, Alifia Nia Nopeliza, Nia Nia Three Manurung Nilam Cahyati Nora Herliza Noviana, RA Sania Nurhikmah, Putri Oktasari, Tina Patriot, Evelina Astra Pertiwi, Nadiar Pratiwi Ineke Anwar Putra, Gede Mudita Edi Putra, Guruh Sukarno Putri Maulida, Nabila Putri Wijayanti Putri, Jamiatul Khairunnisa Putri, Mutiara Juliana Putriyani, Fena Siska Qathrunnada, Sausan Rahman, Nor Farahwahidah Abdul Rahmannisa, Amanda Ramadhani, Neysya Ditha Rara, Rara Redondo, Fernando Eric Ribkoh, Ribkoh Risa Albeta Rizki Novianti, Rizki Romadoni, Muhammad Sadly, Deni Salmah Rianti Salmah Rianti Saparini Saparini Saparini Sardianto Markos Siahaan Sardianto Markos Siahaan, Sardianto Markos Sari, Dwita Kartika Sari, Isma Sari, Mona Seprina, Iin Sholeha, Nurlita Dwi Siti Nur Azizah Sri Mindia Vanessa Pratiwi Sri Zakiyah Sudirman Sudirman Sudirman Sudirman Suhadi Suhadi Suhadi Suhadi Suhadi Suhadi Supardi Supardi Supardi Supari Supari Supari Supari Supari Supari Supari, Supari Sutanto, Taufiq Sutinah, Eka Syahputri, Selvia Mariska Syuhendri, Syuhendri Taufiq Taufiq Tine Aprianti Utami, Amanda Kurnia VIOLANTI ANARKY, VIOLANTI Wailaina Wati, Lira Diska Winarni, Kiki Ayu Wulandari, Dwi Noviana Yenny Anwar Yuli Setianingsih Yuliana, Rahma Zulherman Zulherman Zulherman Zulherman, Zulherman