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Pelatihan Pembuatan Video Animasi Berbantuan Artificial Intelligence untuk Guru SMP Negeri 1 Indralaya Sardianto Markos Siahaan; Muhamad Yusup; Melly Ariska; Taufiq Taufiq; Wardah Amalia
Jurnal Pendidikan dan Pengabdian Masyarakat Vol. 9 No. 2 (2026): Mei
Publisher : FKIP Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppm.v9i2.10955

Abstract

Pemanfaatan teknologi Artificial Intelligence (AI) dalam pembuatan media pembelajaran menjadi kebutuhan mendesak bagi guru agar mampu menghadirkan pembelajaran yang kreatif, menarik, dan relevan dengan tuntutan Kurikulum Merdeka. Kegiatan Pengabdian kepada Masyarakat ini bertujuan meningkatkan kompetensi guru SMP Negeri 1 Indralaya dalam membuat video animasi pembelajaran berbantuan AI melalui pelatihan dan pendampingan terstruktur. Metode kegiatan meliputi sosialisasi, pelatihan teknis, workshop pembuatan video, pendampingan implementasi, serta evaluasi pre-test dan post-test. Hasil menunjukkan adanya peningkatan signifikan literasi digital guru dengan nilai N-gain sebesar 0,70 kategori sedang. Dari kegiatan ini, para guru menyatakan membuktikan bahwa integrasi AI membuat proses pembuatan media pembelajaran lebih efektif dan efisien dan meningkatkan kreativitas guru.
Analisis Pola Curah Hujan Di Pulau Jawa Dengan Menggunakan Empirical Orthogonal Function (EOF): Analysis of Rainfall Patterns on Java Island Using Empirical Orthogonal Function (EOF) Devi Ariska Setiyowati; Melly Ariska
Jurnal Pendidikan Fisika dan Sains (JPFS) Vol 7 No 2 (2024): September
Publisher : Pendidikan Fisika, FKIP, Universitas Nahdlatul Ulama Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52188/jpfs.v7i2.788

Abstract

Pulau Jawa terletak di barat Indonesia adalah salah satu dari ribuan pulau yang membentuk kepulauan Indonesia. Topografi pulau ini memainkan peran penting dalam membentuk pola curah hujan. Ragam reliefnya, termasuk dataran rendah, pegunungan, lembah, dan dataran tinggi, menjadi faktor utama dalam variasi curah hujan di berbagai wilayahnya. Variasi ini menghasilkan keragaman kondisi mikroiklim di seluruh pulau, yang memperkaya kompleksitas pola curah hujan. Metode analisis data seperti Empirical Orthogonal Function (EOF) digunakan dalam berbagai studi, termasuk dalam memahami pola curah hujan. EOF, sebuah pendekatan statistik multivariat, membantu dalam memahami pola spasial dan temporal dalam data dengan mendekomposisi data ke dalam pola orthogonal yang disebut Empirical Orthogonal Functions (EOF), merepresentasikan variasi spasial dari dataset tersebut. Dengan menggunakan EOF, pola-pola utama dari data curah hujan, seperti pola distribusi spasial curah hujan di suatu wilayah, dapat diidentifikasi. Berdasarkan penelitian yang dilakukan, analisis fungsi PC berbasis EOF menghasilkan tiga mode EOF. Mode pertama menjelaskan pola curah hujan Monsunal, sementara mode kedua dan ketiga menjelaskan pola curah hujan ekuatorial.
Application of Physics-Informed Neural Networks (PINNs) for the Numerical Solution of the Time-Independent Schrödinger Equation Hamdi Akhsan; Khoirun Nisa; Putri Nurhikmah; Wailaina; Melly Ariska
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.
Cultivating Environmental Sustainability Awareness in Students Through ECO-SETS: Implementation of Science, Environment, Technology, and Society (SETS)-Based Worksheets on Climate Change Topics Evelina Astra Patriot; Frendi Ihwan Syamsudin; Melly Ariska; Saparini Saparini; Iful Amri; Rahma Tri Kusuma; Nor Farahwahidah Binti Abdul Rahman
Integrated Science Education Journal Vol 7 No 2 (2026): March
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/isej.v7i2.2510

Abstract

Purpose of the study: This study aims to develop the ECO-SETS Worksheet (Environment and Climate Oriented through Science, Environment, Technology, and Society), an innovative student worksheet that integrates the SETS approach with simple coding simulations to train students’ ESA on climate change topics. Methodology: The research employed the ADDIE development model, consisting of five stages. The study involved Grade X and XI students from several schools in South Sumatra. Data collection included teacher interviews, expert validation by three experts, student practicality questionnaires involving nine students, and effectiveness testing through pretest–posttest assessments with 60 respondents. Instruments consisted of Likert-scale questionnaires, open-ended feedback forms, and concept mastery tests. Data were analyzed using the Guttman scale for validity, the Likert scale for practicality, and N-gain and t-tests for effectiveness. Main Findings: The results indicate that ECO-SETS LKPD is highly valid, with average validation scores of 90.7%, and very practical, with student response scores of 97.14% (one-to-one trial) and 96.50% (small-group trial). In terms of effectiveness, the LKPD significantly improved students’ environmental sustainability awareness, evidenced by an N-gain score of 0.65 in the experimental class and statistically significant differences compared to the control group. Novelty/Originality of this study: The novelty of this study lies in the integration of SETS-based contextual learning with simple coding simulations within a structured LKPD framework, bridging environmental education and computational thinking. This integrative approach not only strengthens conceptual understanding but also equips students with adaptive skills to address real-world environmental challenges, offering a new direction for sustainable science education.
Visualisasi Komputasi Fungsi Gelombang dan Probabilitas Partikel Kuantum dalam Sumur Potensial Tak Hingga Satu Dimensi Faizah Istisania; Vina Yanti; Hamdi Akhsan; Melly Ariska
Jurnal Teori dan Aplikasi Fisika Vol. 14 No. 02 (2026): Jurnal Teori dan Aplikasi Fisika
Publisher : Department of Physics, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtaf.v14i02.586

Abstract

This research aims to develop computational visualization of the wave function and probability distribution of particles in a one dimensional infinite potential well. The wave function is obtained analytically from the time-independent Schrödinger equation and then normalized to give it probabilistic meaning. Numerical simulations are carried out using Python with the NumPy library for computation and Matplotlib for visualization, allowing manipulation of parameters such as box length and quantum number. The visualization results confirm the basic concepts of quantum mechanics, namely quantized energy levels, sinusoidal wave function forms with a specific number of nodes, and probability distributions that have several peaks and are always positive. The simulation also shows the correspondence between wave-function nodes and zero-probability points, as well as the increasing complexity of oscillations and variations in probability distributions as the quantum number increases. These findings are consistent with theoretical predictions and show that the computational approach is effective in visualizing abstract concepts in quantum mechanics, thereby clarifying the relationship between mathematical formulation and its physical interpretation.
COMPUTATIONAL VISUALIZATION OF HYPOTHETICAL FOUR-DIMENSIONAL QUANTUM SYSTEMS FOR PEDAGOGICAL PURPOSES Afrizal, Muhammad; Sunarti, Arinda Rahma; Zahrani, Ami; Akhsan, Hamdi; Ariska, Melly
EduFisika: Jurnal Pendidikan Fisika Vol 11 No 2 (2026): EduFisika: Jurnal Pendidikan Fisika Volume 11 Nomor 2 August 2026
Publisher : Program Studi Pendidikan Fisika FKIP Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59052/edufisika.v11i2.49885

Abstract

Understanding high-dimensional spaces, particularly the fourth dimension, remains a major conceptual challenge in quantum physics education due to their abstract mathematical nature and the limitations of conventional visualization approaches. Although four-dimensional quantum systems have been extensively explored in theoretical and experimental physics, their pedagogical visualization remains limited and rarely integrated with computational modeling for instructional purposes. This study aims to develop and systematically evaluate a computational visualization framework for a four-dimensional particle in a box quantum system by: (1) constructing a numerical model using Python-based simulation, (2) implementing explicit dimension-reduction techniques to project 4D probability distributions into 3D and 2D representations, and (3) analyzing the structural and probabilistic features preserved in these projections. The results show that the projected visualizations preserve key signatures of the fourth dimension, demonstrated by a ground-state energy relative error of 0.14% and normalization accuracy of 99.98%, indicating high computational reliability. The resulting heatmaps and tesseract-based geometric representations provide interpretable visual structures that support spatial reasoning in quantum learning contexts. The novelty of this study lies in the explicit integration of high-dimensional quantum modeling, systematic dimension-reduction, and data-driven visualization within a single pedagogical framework, which transforms abstract four-dimensional quantum formalisms into accessible instructional representations. This study contributes a computationally grounded instructional model that supports the development of quantum literacy and conceptual understanding in modern physics education.
Co-Authors Abidin Pasaribu Abidin Pasaribu Abidin Pasaribu, Abidin Adam Darmawan Ade Kurniawan Ade Kurniawan Agustina, Atika Ahmad Firdaus Falka Ahmad Fitra Ritonga Aisyah Veronika Al Fatih, Zaky Alawiyah, Sakinah Alfin Suhanda Amanda Rahmannisa Amanda, Karenina Andriani, Nelly Apit Fathurohman Ari Widodo Arini Rosa Sinensis Atika Agustina Az Zahra, Lutfiah Azizah Putri Berimah Azizah Putri Berimah Berimah, Azizah Putri Dea Amalia Dea Rizky Oktavia Devi Ariska Setiyowati Diah Kartika Sari Dina Maulina Dwi Purnomo Aji Dwicahyani, Rania Dwita Kartika Sari Edo Anugrah Efrinalia, Winta Ernalida Ernalida Evelina Astra Patriot Evelina Astra Patriot Faizah Istisania Fena Siska Putriyani Firdausi, Huriyatul Fitra Ritonga, Ahmad Fitriyani Fitriyani Frendi Ihwan Syamsudin Frendi Ihwan Syamsudin Frida Ramadian Gelby Pradina Paramitha Gisca Rivia Prameswari Hamdi Akhsan Hamdi Akhsan Hamdi Akhsan Hartono Hartono Hartono Hartono Hartono Hartono Hartono Hartono Hepiyani Hepiyani Herlambang, Dominikus Krisna Huriyatul Firdausi Ida Sriyanti Ida Sriyanti Iful Amri Iin Seprina Iskhaq Iskandar Ismet Ismet Ismet, Ismet Jesi Pebralia Ketang Wiyono Ketang Wiyono Ketang Wiyono Ketang Wiyono KHOIRUN NISA Kistiono Kistiono Kistiono Kistiono Kristylia Sury Laras Sapitri, Cindy Laura Insan Kencana Leni Marlina Lira Diska Wati Masduki Masduki May Sari Mega Fatimah Rosana Melati, Pegi Meli Asma Desti Melvany, Nanda Eva Milka, Ikbal Adrian Mindia Vanessa Pratiwi, Sri Muhamad Yusup Muhammad afrizal Muhammad Afrizal Muhammad Aufa Riyaldo Muhammad Irfan Muhammad Irfan Muhammad Muslim muhammad muslim Muhammad Muslim Muhammad Muslim, Muhammad Muhammad Putra Aririyansyah Muhammad Romadoni Muhammad Yusuf Muhammad Yusup Mulyadi Eko Purnomo, Mulyadi Eko Murnia Murniati Murniati . Nadiar Pertiwi Nely Andriani Nely Andriani, Nely Nilam Cahyati Nor Farahwahidah Nor Farahwahidah Binti Abdul Rahman Novi Yusliani Nur Julia Ningsih Nur Kayla Lekati Nurjannah Nurjannah Nuzula, Khalidatun Pratiwi Ineke Anwar Putra, Guruh Sukarno Putri Maulida, Nabila Putri Nurhikmah Putri, Astrid Yulinda Putri, Jamiatul Khairunnisa Putriyani, Fena Siska Rahma Tri Kusuma Rahmannisa, Amanda Rahmi Susanti Rahmi Susanti Rahmi Susanti Rahmi, Ani Ramadhani, Neysya Ditha Rara Rara Ratu Ilma Indra Putri Rini Khoirunnisa Rita Inderawati Rizki Novianti, Rizki Romadoni, Muhammad Ruth Magdalena Suryaningsih Sakinah Alawiyah Salmah Rianti Salsabillah, Zahwa Nur Saparini Saparini Sardianto Markos Siahaan Sardianto Markos Siahaan, Sardianto Markos Sari, Dwita Kartika Sary Silvhiany Sayyendra, Amelia Putri Senandung Senja Citra Maharani Seprina, Iin Setiyowati, Devi Ariska Siti Nur Azizah Sopia Sopia Sri Mindia Vanessa Pratiwi Sri Zakiyah Sudirman Sudirman Sudirman Sudirman Sudirman, Sudirman Suhadi Suhadi Suhanda, Alfin Sunarti, Arinda Rahma Sunyono - - Supari Supari Supari Supari, Supari Suryaningsih, Ruth Magdalena Syahrani, Revanola Gusti Syarifudin, Agus Syuhendri, Syuhendri Taufiq Taufiq Taufiq Taufiq Tine Aprianti Tita Ratna Wulan Dari Tsabita Husna Tyse Ramadhona Utami, Amanda Kurnia Vina Yanti Viyanti Viyanti Wailaina Wardah Amalia Wati, Lira Diska Yasmine Altira Yenny Anwar Zahlia, Marsela Zahra Alwi, Zahra Zahra Ayanna Firmansyah Zahrani, Ami Zulherman Zulherman Zulherman Zulherman, Zulherman