Garuda - Garba Rujukan Digital

Inquiry-Based Digital Physics Learning Integrated with Glocal Wisdom for Education for Sustainable Development Hanan Zaki Alhusni; Riski Ramadani; Binar Kurnia Prahani; Titin Sunarti; Madlazim Madlazim
Journal of Innovative Technology and Sustainability Education Vol. 1 No. 3 (2025): December
Publisher : Sekolah Tinggi Agama Islam Sabilul Muttaqin Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63230/jitse.1.3.105

Objective: This study aims to analyse the integration of inquiry-based learning, digital technology, Education for Sustainable Development (ESD), and glocal wisdom in physics education through a systematic literature review. The goal is to map trends, patterns, and research gaps connecting these dimensions to improve conceptual understanding, critical thinking, and sustainability-oriented learning. Method: A Systematic Literature Review (SLR) was conducted based on PRISMA 2020 guidelines. Data were collected from Scopus, Web of Science, SpringerLink, and ScienceDirect, covering studies published from 2015 to 2025. Of the 1,428 identified articles, 54 met the inclusion criteria. Data were analysed using thematic analysis with NVivo 14 to identify key research themes and directions. Results: Four major themes emerged: (1) effectiveness of inquiry-based digital learning in enhancing reasoning and conceptual mastery; (2) integration of digitalisation and ESD to foster ecological literacy; (3) application of glocal wisdom as a cultural context to enhance relevance and inclusivity; and (4) ethical and equity challenges in technology implementation. These findings indicate a paradigm shift from content-based physics learning to contextual and sustainability-driven education. Novelty: This study offers an integrative synthesis that combines inquiry, digitalisation, ESD, and cultural wisdom within a single framework. Its novelty lies in presenting a holistic model of physics education that promotes scientific literacy, environmental awareness, and cultural identity toward sustainable learning.

Simulation Technologies in Physics Learning for Education for Sustainable Development Hanan Zaki Alhusni; Riski Ramadani; Titin Sunarti; Madlazim Madlazim
Journal of Innovative Technology and Sustainability Education Vol. 1 No. 3 (2025): December
Publisher : Sekolah Tinggi Agama Islam Sabilul Muttaqin Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63230/jitse.1.3.107

Objective: This study aims to systematically analyse how simulation technologies are integrated into physics education to support Education for Sustainable Development (ESD). The objective is to identify publication trends, thematic focuses, and pedagogical implications of simulation-based learning in fostering sustainability competencies and scientific literacy. Method: A Systematic Literature Review (SLR) approach was employed using data from Scopus and ScienceDirect databases covering the years 2007-2025. Thirty-five selected articles were analysed using bibliometric mapping in VOSviewer and thematic content analysis to identify research patterns related to the use of simulation in ESD-oriented physics learning. Results: The findings reveal that simulation technologies enhance students' conceptual understanding, digital competence, and sustainability awareness. Four main themes emerged: (1) simulation for conceptual understanding, (2) sustainability competency development, (3) teacher digital competence, and (4) equity in virtual learning. Publication trends show a steady increase since 2019, with the highest research output in 2023. Most contributions originated from countries with strong digital infrastructures, such as the USA, Indonesia, and Switzerland. Novelty: This study provides an integrated view of simulation-based physics education as a driver of sustainability competencies, highlighting its dual cognitive and affective impact. Unlike previous reviews, this work explicitly connects simulation technology with ESD frameworks, offering insights for future pedagogical models and sustainable digital learning practices.

Design Optimization of Rectangular Microstrip Antenna Using Deep Neural Network for 3 GHz Applications in Support of SDG 9 Riski Ramadani; Afiyah Nikmah; Arum Vonie Rachmawati; Rohim Aminullah Firdaus Firdaus; Noer Risky Ramadhani
Journal of Current Studies in SDGs Vol. 2 No. 1 (2026): March
Publisher : Sekolah Tinggi Agama Islam Sabilul Muttaqin Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63230/jocsis.2.1.130

Objective: This study aims to investigate the effectiveness of Deep Neural Networks (DNN) for optimizing the design of a rectangular microstrip antenna operating at a target frequency of 3 GHz. The research focuses on improving antenna design efficiency by predicting antenna performance parameters based on geometric characteristics. Method: The study employed a computational simulation approach combined with machine learning techniques. A synthetic dataset consisting of 6000 antenna configurations was generated using analytical microstrip antenna equations. The dataset included geometric parameters such as dielectric constant, substrate thickness, patch width, patch length, and inset feed position. A Deep Neural Network model was trained to predict resonant frequency, return loss, and input impedance. The trained model was then used as a surrogate model to evaluate 30,000 candidate antenna designs and identify the optimal configuration. Result: The proposed model achieved high predictive accuracy with values of 0.9987 for resonant frequency prediction and 0.9988 for input impedance prediction. The optimized antenna design produced a resonant frequency of 2.996 GHz, return loss of −18.70 dB, and input impedance of 53.95 Ω, which closely match the target specifications for S-band wireless applications. Novelty: The study demonstrates that Deep Neural Networks can significantly accelerate antenna design optimization by replacing repetitive electromagnetic simulations with data-driven prediction models.

Design Optimization of Rectangular Microstrip Antenna Using Deep Neural Network for 3 GHz Applications in Support of SDG 9 Riski Ramadani; Afiyah Nikmah; Arum Vonie Rachmawati; Rohim Aminullah Firdaus Firdaus; Noer Risky Ramadhani
Journal of Current Studies in SDGs Vol. 2 No. 1 (2026): March
Publisher : Sekolah Tinggi Agama Islam Sabilul Muttaqin Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63230/jocsis.2.1.130

Objective: This study aims to investigate the effectiveness of Deep Neural Networks (DNN) for optimizing the design of a rectangular microstrip antenna operating at a target frequency of 3 GHz. The research focuses on improving antenna design efficiency by predicting antenna performance parameters based on geometric characteristics. Method: The study employed a computational simulation approach combined with machine learning techniques. A synthetic dataset consisting of 6000 antenna configurations was generated using analytical microstrip antenna equations. The dataset included geometric parameters such as dielectric constant, substrate thickness, patch width, patch length, and inset feed position. A Deep Neural Network model was trained to predict resonant frequency, return loss, and input impedance. The trained model was then used as a surrogate model to evaluate 30,000 candidate antenna designs and identify the optimal configuration. Result: The proposed model achieved high predictive accuracy with values of 0.9987 for resonant frequency prediction and 0.9988 for input impedance prediction. The optimized antenna design produced a resonant frequency of 2.996 GHz, return loss of −18.70 dB, and input impedance of 53.95 Ω, which closely match the target specifications for S-band wireless applications. Novelty: The study demonstrates that Deep Neural Networks can significantly accelerate antenna design optimization by replacing repetitive electromagnetic simulations with data-driven prediction models.

Bibliometric Analysis of Earth Science Physics Learning in Higher Education: Challenges, Innovations, and Contributions to Education for Sustainable Development Hanan Zaki Alhusni; Riski Ramadani; Titin Sunarti; Madlazim Madlazim; Muhammad Rey Dafa Ahmadi
Journal of Law and Bibliometrics Studies Vol. 1 No. 2 (2025): August
Publisher : Sekolah Tinggi Agama Islam Sabilul Muttaqin Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63230/jolabis.1.2.87

Objective: This study aims to provide a comprehensive bibliometric analysis of earth science and physics learning in higher education within the framework of Education for Sustainable Development (ESD). The objectives are to identify research trends, major contributors, collaboration patterns, and thematic focuses that define the development of this field. Method: Data were collected from the Scopus database (2015–2025) using keywords related to earth science, physics learning, higher education, and sustainability. After screening, 413 relevant documents were analysed using Bibliometrix and VOSviewer to map publication trends, influential journals, key authors, institutional contributions, and keyword co-occurrence networks. Results: The findings reveal three phases of publication dynamics: early decline (2015–2017), rapid growth (2018–2019), and consolidation (2020–2025). The Journal of Geoscience Education dominates as the main publication source, while the United States and Indonesia emerge as the leading contributors. Thematic analysis highlights two clusters: pedagogical innovation and curriculum transformation for sustainability competencies, and the integration of technology (AI, STEM, computing) in science education. Despite increasing international collaboration, networks remain fragmented. Novelty: This study is the first bibliometric mapping that specifically connects earth science and physics learning with the ESD agenda. It identifies research gaps, particularly the lack of integration of sustainability dimensions in physics pedagogy, uneven global collaboration, and limited exploration of digital innovations for ecological literacy.

Bibliometric Analysis of Earth Science Physics Learning in Higher Education: Challenges, Innovations, and Contributions to Education for Sustainable Development Hanan Zaki Alhusni; Riski Ramadani; Titin Sunarti; Madlazim Madlazim; Muhammad Rey Dafa Ahmadi
Journal of Law and Bibliometrics Studies Vol. 1 No. 2 (2025): August
Publisher : Sekolah Tinggi Agama Islam Sabilul Muttaqin Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63230/jolabis.1.2.87

Objective: This study aims to provide a comprehensive bibliometric analysis of earth science and physics learning in higher education within the framework of Education for Sustainable Development (ESD). The objectives are to identify research trends, major contributors, collaboration patterns, and thematic focuses that define the development of this field. Method: Data were collected from the Scopus database (2015–2025) using keywords related to earth science, physics learning, higher education, and sustainability. After screening, 413 relevant documents were analysed using Bibliometrix and VOSviewer to map publication trends, influential journals, key authors, institutional contributions, and keyword co-occurrence networks. Results: The findings reveal three phases of publication dynamics: early decline (2015–2017), rapid growth (2018–2019), and consolidation (2020–2025). The Journal of Geoscience Education dominates as the main publication source, while the United States and Indonesia emerge as the leading contributors. Thematic analysis highlights two clusters: pedagogical innovation and curriculum transformation for sustainability competencies, and the integration of technology (AI, STEM, computing) in science education. Despite increasing international collaboration, networks remain fragmented. Novelty: This study is the first bibliometric mapping that specifically connects earth science and physics learning with the ESD agenda. It identifies research gaps, particularly the lack of integration of sustainability dimensions in physics pedagogy, uneven global collaboration, and limited exploration of digital innovations for ecological literacy.

Title

Found 6 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 6 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 6 Documents
Search