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Hamdi Akhsan

Department Of Physics Education Faculty Of Teaching And Education, Sriwijaya University, Indralaya, 30139, Indonesia

Author-ID : 600847

Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture 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 Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Other

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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

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 Number 2, August 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

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

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.

Development of Augmented Reality-Based and Artificial Intelligence-Assisted E-Modules on Global Warming Materials to Improve Critical Thinking Skills of High School Learners Dwi Purnomo Aji; Hamdi Akhsan; Leni Marlina
Jurnal Penelitian Pendidikan IPA Vol 11 No 2 (2025): February
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i2.9993

The background of this research is the low level of critical thinking skills in students and the importance of technology utilization in the learning process. To deal with students' low critical thinking skills can be done by utilizing technology in the packaging of teaching materials in the form of e-modules based on Augmented Reality and Artificial Intelligence Assisted on Global Warming Material. This development procedure uses the Akker model in three stages: analysis, design, and evaluation, with 179 students involved. The findings of this study indicate that the products made have reached the valid category with an average value of the electronic validity of the module from the five aspects of 94.3%. Then, the final average of the results of student responses to the use of e-modules on global warming material amounted to 3.45 with a convenient product category. From the results of the N-Gain test using SPSS version 22.0, the results obtained are for the N gain value of 0.71 ≥ 0.70. So, it can be said that using electronic modules based on Augmented Reality and Artificial Intelligence on global warming material at SMA Negeri 3 Sekayu is adequate to improve students' critical thinking skills.

Kajian Pendahuluan E-modul Berbasis Etnosains Danau Ranau Untuk Meningkatkan Keterampilan Literasi Siswa Pada Topik Energi Terbarukan Komarudin Komarudin; Hamdi Akhsan; Ketang Wiyono
Jurnal Penelitian Pendidikan IPA Vol 11 No 3 (2025): March
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i3.10653

This study aims to identify the needs in the physics learning process from the perspectives of students and teachers. A survey method was used by distributing questionnaires to 184 students and 40 physics teachers in South Sumatra, selected through purposive sampling. The results show that students better understand physics when it is related to natural phenomena and everyday life, such as renewable energy. However, they face challenges with formulas, scientific terms, and connecting concepts to real-life contexts. Both students and teachers agree that integrating ethnoscience into physics learning can effectively enhance scientific literacy. All participants stated the need for learning resources that incorporate ethnoscience from Lake Ranau in Ogan Komering Ulu, South Sumatra. Based on these findings, an e-module was developed featuring concise explanations, visual elements, videos, interactive quizzes, and practical experiment activities. The results indicate the importance of developing an ethnoscience-based e-module to improve students' literacy in the topic of renewable energy.

Developing a Digital Tool to Assess Students’ Sustainability Literacy in Wetland Contexts Ina Agustina; Apit Fathurohman; Hamdi Akhsan
Jurnal Penelitian Pendidikan IPA Vol 11 No 7 (2025): July
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i7.11040

This study develops a digital assessment instrument on the Socrative platform to measure high school students’ sustainability literacy on global warming within wetland ecosystems, supporting SDG 13 (Climate Action). Using the ADDIE model (Analysis, Design, Development, Implementation, Evaluation), the research involved: teacher needs analysis, design of 50 wetland-contextualized multiple-choice questions, validation by four environmental experts and three teachers, and trials with 125 students. Content Validity Ratio (CVR ≥ 0.99) confirmed 32 items as valid; 18 were revised for contextual alignment. The instrument showed very high reliability (Cronbach’s Alpha = 0.977), with 25 questions demonstrating good discrimination. While Socrative enhanced interactivity, teacher competence in digital tools requires improvement. The innovation lies in integrating understudied wetland contexts with sustainability literacy assessments, bridging technology (Socrative), local ecology, and SDG principles. Findings emphasize contextualized digital tools as catalysts for climate education and educator capacity building.

Eksplorasi Kebutuhan Pengembangan Modul Fisika Berbasis Etno-STEM dan Diferensiasi untuk Meningkatkan Berpikir Kritis Siswa SMA dalam Konteks Pemanasan Global di Sumatera Selatan Hamdi Akhsan; Ismet; Kistiono
Jurnal Penelitian Pendidikan IPA Vol 11 No 10 (2025): October
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i10.13317

This study aims to identify the empirical needs for developing an Ethno-STEM-based and differentiated physics module to improve critical thinking skills among high school students in South Sumatra, within the context of global warming. A mixed-methods exploratory sequential design was employed, with qualitative data from open-ended questions informing the development of a quantitative Likert-scale questionnaire administered to 81 physics teachers and 1,118 Grade 10 students across five vulnerable districts. Results show that while 100% of teachers express interest in Ethno-STEM, only 24.7% have implemented it, primarily due to the lack of ready-to-use modules (32.4%) and curriculum time constraints (27.0%). Students exhibit diverse learning preferences, with 74.6% favoring hands-on experiments. Furthermore, 83.5% demonstrate analytical skills by identifying causes of environmental problems, but only 61% can compare solutions effectively. These findings reveal a significant gap between awareness and practice, underscoring the urgent need for contextual, culturally responsive, and differentiated learning materials. The study provides a strong empirical foundation for designing a project-based physics module aligned with the Merdeka Curriculum, integrating local wisdom, STEM principles, and learning style differentiation to enhance critical thinking.

Analysis of the Need for Developing Palm Oil Industry–Based Augmented Reality Media to Improve Energy Literacy and Physics Concept Understanding in Vocational Schools Erazando Alfa Seira; Apit Fathurohman; Hamdi Akhsan
Jurnal Penelitian Pendidikan IPA Vol 12 No 1 (2026)
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v12i1.14015

This study aims to analyze the need for the development of augmented reality (AR)-based learning media in the context of the palm oil industry to improve students' energy literacy and understanding of physics concepts at vocational high schools. The study used a survey method with a descriptive quantitative approach. The research subjects consisted of 62 tenth-grade students at the Sembawa State Agricultural Vocational High School, who were selected using purposive sampling. The research instrument was a five-point Likert scale questionnaire that had been tested for content validity using Aiken's V index and for reliability using Cronbach's Alpha. The results showed that students had a high interest in learning physics, but their understanding of concepts and energy literacy was still in the moderate category. In addition, the learning media used were not yet able to optimally visualize physics processes in the context of the palm oil industry. These findings indicate the need to develop contextual, interactive, and relevant AR-based physics learning media for vocational education. This research provides practical implications in the form of recommendations for the design specifications of palm oil industry–based AR media.

Integration of Fourier Series, Artficial Intelligence and Smart Sensors in HVAC Thermal Analysis : A Systematic Literature Review Vania, Amanda Asti; Akhsan, Hamdi; Putri, Arselly Rahmanda; Cahyani, Delvina Putri; Andriani, Nelly; Amalia, Wardah
JIIF (Jurnal Ilmu dan Inovasi Fisika) Vol 10, No 1 (2026)
Publisher : Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/jiif.v10i1.68291

HVAC (Heating, Ventilation, and Air Conditioning) systems play a crucial role in maintaining thermal comfort, air quality, and energy efficiency in buildings. This study aims to examine the contribution of Fourier series in HVAC thermal analysis and the integration of artificial intelligence (AI) and smart sensors to support energy optimization.The method used was a Systematic Literature Review (SLR) of scientific publications from 2019 to 2025 obtained from the ScienceDirect, IEEE, MDPI, and Academia databases. Articles that met the inclusion criteria were analyzed based on their objectives, methodologies, and research results, then grouped thematically. The results of the study showed that Fourier series are effective in representing periodic temperature signals, simplifying data complexity, and improving thermal prediction accuracy. Meanwhile, the integration of AI and smart sensors enables real-time responses, improved energy efficiency, and thermal comfort stability. The main challenges identified include limitations in experimental validation, the complexity of integrating Fourier–AI–sensors into a single framework, and the high computational requirements for large-scale implementation. Thus, it can be concluded that this study contributes to mapping current approaches and recommending research directions for the development of more efficient, adaptive, and sustainable data-driven and intelligent computing-based HVAC systems.Keywords: Artificial Intelligence (AI), Energy Efficiency, Fourier Series, HVAC, Smart Sensors

PENGEMBANGAN INSTRUMEN TES KPS STEM INKLUSIF BERBASIS SDGS UNTUK SISWA SLOW LEARNER Anggelina, Putri; Kistiono, Kistiono; Akhsan, Hamdi; Winarni, Kiki Ayu
OPTIKA: Jurnal Pendidikan Fisika Vol. 9 No. 2 (2025): OPTIKA: Jurnal Pendidikan Fisika
Publisher : Department of Physics Education, Faculty of Teacher Training and Education, Universitas Flores

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37478/optika.v9i2.7090

Penelitian ini bertujuan mengembangkan instrumen tes Keterampilan Proses Sains (KPS) STEM inklusif berbasis SDGs, khususnya SDGs 4 (pendidikan berkualitas), pada materi unsur, senyawa, dan campuran bagi siswa slow learner SMP. Penelitian menggunakan metode Research and Development (R&D) dengan model 4D (Define, Design, Develop, Disseminate). Tahap pendefinisian dilakukan untuk mengidentifikasi karakteristik siswa slow learner dan kebutuhan asesmen KPS. Tahap desain meliputi penyusunan kisi-kisi, butir soal pilihan ganda dan isian singkat, serta rubrik non-tes yang dikontekstualisasikan dengan aktivitas STEM dan isu SDGs. Tahap pengembangan meliputi validasi isi, konstruk, dan inklusivitas oleh ahli, revisi, serta uji coba instrumen pada siswa kelas VIII. Tahap disseminate dilakukan secara terbatas kepada guru IPA. Analisis data meliputi indeks Aiken's V, korelasi item–total Pearson, koefisien Alpha Cronbach, serta tingkat kesukaran dan daya pembeda. Hasil penelitian menunjukkan bahwa seluruh butir valid, reliabel, dan memiliki karakteristik psikometrik yang baik sehingga layak digunakan untuk mengukur KPS siswa slow learner. Instrumen ini diharapkan menjadi asesmen alternatif yang adaptif, kontekstual, dan inklusif bagi guru IPA dalam pemetaan kemampuan KPS siswa slow learner secara lebih objektif.

Co-Authors Abidin Pasaribu Abidin Pasaribu Abidin Pasaribu, Abidin Adam Darmawan Ade Kurniawan Ade Kurniawan Agung Mataram Agustina, Atika Ahmad Fauzi Ismail Ahmad Fudholi Aji, Dwi Purnomo Aljuzza, Muhammad Ikhsan Almafie, Muhammad Rama Amalia, Wardah Amanda Kurnia Utami Amanda Rahmannisa Andriani, Nelly Anggelina, Putri Anggelina, Zanne Apit Fathurohman Apit Fathurohman Arini Rosa Sinensis Atika Agustina Aulia, Maghfira Ayu Sekar Sari Azizah Putri Berimah Berimah, Azizah Putri Cahyani, Delvina Putri Cahyati, Nilam Damayanti, Fitria Siska Dani, Rahma Dea Amalia Dea Rizky Oktavia Deni Sadly Detrika Mawar Arrum Devi Ardiantini Dwi Purnomo Aji Dwi Purnomo Aji Dwicahyani, Rania Dwita Kartika Sari Edo Anugrah Edray, Auliya Einsrizkianne Elsie Sulastry Erazando Alfa Seira Ermalia, Widia Fahreza, Muhammad Aditya Fajriah, Nurkholisa Fatmawati, Fatmawati Fatonah, Amelia Febrianti, Tanti Fena Siska Putriyani Fika Nurul Hidayati Firdausi, Huriyatul Fitria Siska damayanti Fitriyani Fitriyani Guruh Sukarno Putra Halim, Noor Dayana Abd Hapriza, Yunita Hayati, Suci Husnul Ida Sriyanti Iful Amri Iin Seprina Ina Agustina Intan Purnama Sari Irenta Irenta Ishkaq Iskandar Iskhaq Iskandar Iskhaq Iskandar Iskhaq Iskandar Iskhaq Iskandar Ismet Ismet Ismet Ismet, Ismet Ismet, I. Izzah Nurhidayah, Izzah Jamiatul Khairunnisa Putri Jesi Pebralia Juliansyah, Dendi Juwita Febrianti Kartika, Nadia Dwi Ketang Wiyono Ketang Wiyono Ketang Wiyono KHOIRUN NISA Kistiono Kistiono Kistiono Kistiono Kistiono Kistiono Kistiono Kistiono Komarudin Komarudin Kurnia, Mega Lamura, M. Danny Pratama Lara Sania Laras Sapitri, Cindy Leni Marlina Leni Marlina Leni Marlina Lestari, Mutiah Lestari, Yora Inda Lira Diska Wati Lira, Lira Lismayana, Pegi Putri M. Nicola Prajaska MAHARANI, MELINDA Mahdiah, Intan Mahmudah, Indri Maliya, Fina Manurung, Nia Three Markos Siahaan, Sardianto Mega Kurnia Meilanie, Trista Melly Ariska Melvany, Nanda Eva Miftahul Jannah Mindia Vanessa Pratiwi, Sri Muhamad Yusup Muhammad Aditiyah Muhammad Afrizal 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 Mutiah Lestari Mutiara Putri, Mutiara Nadya Anggraini Nasiroh, Anisa Qoriq Atun Nazhifah, Rizqia Nely Andriani Nely andriani Nely Andriani, Nely Nestity, Alifia Nia Nopeliza, Nia Nia Three Manurung Nilam Cahyati Nita Arrum Sari Nora Herliza Noviana, RA Sania Nurhikmah, Putri Nurjana, Elsa Vini Eka Nurkholisa Fajriah Oktasari, Tina Patriot, Evelina Astra Pertiwi, Nadiar Prajaska, Nicola Pratiwi Ineke Anwar Putra, Gede Mudita Edi Putra, Guruh Sukarno Putri Maulida, Nabila Putri Wijayanti Putri, Arselly Rahmanda Putri, Jamiatul Khairunnisa Putri, Mutiara Juliana Putriyani, Fena Siska Qathrunnada, Sausan Rahma Hafitri Rahman, Nor Farahwahidah Abdul Rahmannisa, Amanda Ramadhani, Neysya Ditha Ramadhona, Tyse Rara, Rara Redondo, Fernando Eric Ribkoh, Ribkoh Risa Albeta Rizki Novianti, Rizki Romadoni, Muhammad Salmah Rianti Salmah Rianti Salsabillah, Zahwa Nur Saparini Saparini Saparini Sardianto Markos Siahaan Sardianto Markos Siahaan, Sardianto Markos Sari, Dwita Kartika Sari, Isma Sari, Mona Sekarani, Tresnane Suandti Seprina, Iin Sholeha, Nurlita Dwi Siahaan, Sardianto Marcos Siregar, Anpo Ferdy Siti Kurdiah Siti Nur Azizah Sopia Sopia Sri Mindia Vanessa Pratiwi Sri Zakiyah Sudirman Sudirman Sudirman Sudirman Suhadi Suhadi Suhadi Suhadi Suhadi Supardi Supardi Supardi Supari Supari Supari Supari Supari Supari Supari, Supari Sutanto, Taufiq Sutinah, Eka Syahputri, Selvia Mariska Syahrani, Revanola Gusti Syuhendri, Syuhendri Tanti Febrianti Taufiq Taufiq Tine Aprianti Tresnane Suandti Sekarani Tsabita Husna Tyse Ramadhona Utami, Amanda Kurnia Vania, Amanda Asti VIOLANTI ANARKY, VIOLANTI Wahyuningsi, Wahyuningsi Wailaina Wardah Amalia Wati, Lira Diska Winarni, Kiki Ayu Wulandari, Dwi Noviana Yendri Tri Hartati Napitupulu Yenny Anwar Yesi Monalika Yuli Setianingsih Yuliana, Rahma Zahlia, Marsela Zulherman Zulherman Zulherman Zulherman, Zulherman

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