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Journal of Current Studies in SDGs
Published by Sekolah Tinggi Agama Islam Sabilul Muttaqin mojokerto
ISSN : -     EISSN : 30897564     DOI : https://doi.org/10.63230/jocsis.1.4
Core Subject : Economy, Science, Education, Social,
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Social Sciences Other
The Journal of Current Studies in SDGs is a scholarly journal dedicated to publishing the latest research, reviews, and analyses related to the Sustainable Development Goals (SDGs). This journal aims to serve as an academic platform for researchers, scholars, and practitioners contributing to the achievement of sustainable development objectives across various sectors. We encourage publications that are solution-oriented, evidence-based, and have a tangible impact on policies and the implementation of SDGs at local, national, and global levels.
Arjuna Subject : Ilmu Sosial - Ilmu Sosial (Lain-Lain)
Articles 25 Documents
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Profile of Students’ Physics Problem-Solving Skills and the Implementation of Digital Book-Assisted PBL for SDG 4 Dhea Wanda Irani; Elvia Reza Lutfiani; Siska Agustin Sha Hareni; Nofri Hidayatin; Nurul Muawiyan; Binar Kurnia Prahani; Hanandita Veda Saphira
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.2.1.116

Abstract

Objective: This study aims to analyze the profile of students' physics problem-solving skills as a basis for applying the digital book-assisted Problem-Based Learning (PBL) model to sound wave material at the high school level. This analysis was conducted to determine the level of students' problem-solving abilities and to identify differences in abilities based on gender as a basis for developing more effective learning strategies. Method: This study used a quantitative descriptive approach involving 108 high school students as research subjects. The research instruments included a physics problem-solving skills test, a student response questionnaire, and interviews with physics teachers. The test was compiled based on problem-solving skill indicators that included understanding the problem, planning the solution, implementing the strategy, and evaluating the solution. The data were analyzed using the Rasch model to obtain more accurate measurements of student ability levels and question difficulty levels. Results: The results showed that students' physics problem-solving skills were generally still in the low category. Most students had difficulty understanding problems conceptually, determining the appropriate solution strategy, and evaluating the results of the solution. Analysis based on gender shows that the abilities of male and female students are relatively balanced. However, female students tend to be more thorough in descriptive and evaluative aspects, while male students are more prominent in the solution planning stage. Novelty: The novelty of this study lies in the analysis of students' physics problem-solving skill profiles from a gender perspective using the Rasch model as an empirical basis for developing a more interactive and contextual 3D digital book-assisted PBL model to improve students' physics problem-solving skills.
Installing Method and Subconscious Learning: A Sustainable English Learning Innovation Through Subconscious Knowledge Transfer in Kuanta Indonesia Ah. Zakki Fuad; Suparto Suparto; Nina Indriani; Jauharoti Alfin; Muhammad Rey Dafa Ahmadi
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.2.1.141

Abstract

Objective: This study aims to analyze the design, concept, and implementation of the Installing Method and Subconscious Learning in English learning at Kuanta Indonesia. The study also seeks to explore how subconscious-based learning can accelerate English mastery without traditional memorization and repetitive drills. Method: This research employed a descriptive qualitative approach conducted at Kuanta Indonesia as the research site. Data were collected through observations, interviews with master installers and learners, and documentation analysis. The data analysis process involved unitizing, recording, reducing, inferring, analyzing, and narrating to ensure data trustworthiness and comprehensive interpretation. Results: The findings reveal that the Installing Method emphasizes subconscious activation through alpha-wave learning conditions, allowing learners to absorb knowledge naturally and automatically. The learning process minimizes conscious memorization and analytical thinking, resulting in relaxed and efficient learning experiences. Students demonstrated rapid English mastery, improved confidence, and positive behavioral changes. The implementation includes structured learning programs, subconscious-based knowledge transfer, and rule-based learning environments that support automatic language acquisition. Novelty: This study introduces a new paradigm in English learning through subconscious installation rather than conventional learning methods. The Installing Method integrates subconscious brain activation, energy-based knowledge transfer, and behavioral transformation into a unified learning framework. This approach offers an innovative alternative for fast and effective English mastery and contributes to the development of transformative language learning methodologies.
Design Optimization of Rectangular Microstrip Antenna Using Deep Neural Network for 3 GHz Applications in Support of SDG 9 Ramadani, Riski; Nikmah, Afiyah; Rachmawati, Arum Vonie; Firdaus, Rohim Aminullah Firdaus; Ramadhani, Noer Risky
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

Abstract

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.
Intelligent Virtual Environment in STEM Education: A Systematic Literature Review for Sustainable Digital Learning Alhusni, Hanan Zaki; Prahani, Binar Kurnia; Jatmiko, Budi; Hulu, Noval Maleakhi
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.2.1.132

Abstract

Objective: This study aims to analyze the development and application of Intelligent Virtual Environment (IVE) in STEM education to support sustainable digital learning. The study focuses on identifying research trends, technologies used, and the impact of immersive digital environments on STEM learning outcomes. Method: This research employed a Systematic Literature Review (SLR) approach to synthesize relevant studies published in the last five years. Articles were collected from several academic databases, including Scopus, Web of Science, ScienceDirect, IEEE Xplore, and Google Scholar. The selection process followed the PRISMA framework to ensure systematic identification, screening, eligibility assessment, and inclusion of relevant studies. A total of 15 articles were selected based on inclusion criteria related to immersive technologies, artificial intelligence, and virtual learning environments in STEM education. The selected studies were analyzed to identify research trends, technological approaches, and reported learning outcomes. Result: The results show that Intelligent Virtual Environment technologies, particularly those integrating virtual reality, augmented reality, and artificial intelligence, have been widely applied in STEM learning. These technologies improve conceptual understanding, student engagement, and interactive learning experiences. The findings also indicate that immersive learning environments support visualization of complex scientific concepts and encourage active learning through simulation and exploration. Novelty: This study provides a comprehensive synthesis of recent research on Intelligent Virtual Environment in STEM education and highlights its role in advancing sustainable digital learning. The review also identifies current research trends and future research directions for integrating immersive technologies and artificial intelligence in STEM education.
Problem-Based Learning in Digital Learning Environments: A Systematic Literature Review Supporting SDG 4 Alhusni, Hanan Zaki; Prahani, Binar Kurnia; Jatmiko, Budi; Hamiyda, Salma Hasna
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.2.1.133

Abstract

Objective: This study aims to analyze the development and implementation of Problem-Based Learning (PBL) in digital learning environments to support sustainable digital education and improve learning quality. The study focuses on identifying research trends, technologies used, and the impact of technology-supported PBL on learning outcomes. Method: This research employed a Systematic Literature Review (SLR) approach to synthesize relevant studies published between 2021 and 2025. Articles were collected from several academic databases, including Scopus, Web of Science, ScienceDirect, and Google Scholar. The selection process followed the PRISMA framework, which includes identification, screening, eligibility assessment, and inclusion. Based on the established inclusion criteria related to PBL and digital learning environments, 15 articles were selected for further analysis. The selected studies were examined to identify research trends, technological approaches, and reported learning outcomes. Result: The findings show that the integration of PBL with digital technologies has been widely implemented in various educational contexts. Digital platforms such as learning management systems, collaborative tools, and interactive digital resources support the implementation of PBL and enhance student engagement. The results indicate that technology-supported PBL improves critical thinking, problem-solving skills, and collaborative learning experiences. In addition, digital learning environments encourage more interactive and student-centered learning through discussion, exploration, and problem-solving activities. Novelty: This study provides a synthesis of recent research on PBL in digital learning environments and highlights its potential to support innovative digital learning practices. The findings also indicate that the integration of PBL and digital technologies can contribute to improving educational quality and supporting the achievement of Sustainable Development Goal 4 (Quality Education).

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