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Analysis of the Compensation System in Indonesia Ramadani, Riski; Nasution, Edi Marjan; Zumaedi, Mhd. Ariel; Pulungan, Indah Wahyuni; Nst, Nabila Riski
Journal Research of Social Science, Economics, and Management Vol. 5 No. 5 (2025): Journal Research of Social Science, Economics, and Management
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jrssem.v5i5.1257

This article analyzes the wage system in Indonesia by examining its historical development, regulatory framework, and Islamic perspective. Wages are a fundamental right of workers that function not only as compensation but also carry social, economic, and legal dimensions. The history of wages in Indonesia reflects a long journey from the discriminatory practices of the colonial era to the introduction of minimum wage policies in the 1970s, which have since evolved under recent regulations such as Government Regulation No. 36 of 2021. This study employs a qualitative approach using library research from academic literature, legal frameworks, and expert opinions. The findings show that Indonesia applies various wage systems, including time-based, output-based, and contract-based systems, all of which emphasize fairness, certainty, and the protection of workers' rights. Factors influencing wage determination include labor supply and demand, productivity, living costs, labor unions, company capacity, and government regulation. Nevertheless, challenges remain, such as the wage gap between formal and informal sectors, weak enforcement of regulations, and the insufficiency of minimum wages to meet decent living standards. From an Islamic perspective, wages are seen as a moral obligation that must be delivered fairly, promptly, and with respect for workers' dignity. Therefore, a balance between government regulation, business capacity, and workers' rights is essential to create harmonious industrial relations and ensure shared prosperity.

Three-Dimensional Soliton Propagation in Ruby for High-Stability Optical Communication Yantidewi, Meta; Firdaus, Rohim Aminullah; Khoiro, Muhimmatul; Winarno, Nanang; Ramadani, Riski; Nikmah, Afiyah; Alhusni, Hanan Zaki
POSITRON Vol 16, No 1 (2026): Vol. 16 No. 1 Edition
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam, Univetsitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/positron.v16i1.93213

Optical communication in digitalisation is a significant catalyst in supporting high-speed and large capacity data transmission. However, optical communication applications face substantial challenges, such as energy loss, dispersion effects, and signal stability over long transmission distances. One material that has the potential to overcome these problems is ruby due to its nonlinear characteristics. This research work numerically investigates soliton propagation in ruby material analysis as a Nonlinear Schrödinger Equation numerical modelling and three-dimensional visualisation with Cubic B-Spline, modified Korteweg-de Vries-Zakharov-Kuznetsov, and Boussinesq methods to understand ruby material characteristics more deeply. The simulations show that the soliton waveform remains stable during propagation, with its amplitude confined within approximately -1.05 to 0.35, indicating robust shape preservation under anisotropy and temperature variations. like most previous studies that are limited to one or two dimensional modelling or to dispersive fibre media, this study implement a full 3D NLSE framework tailored to the physical properties of ruby. The results show that both numerical modelling and three-dimensional visualisation indicate that ruby material can maintain the soliton waveform during propagation. This finding suggests that ruby has the potential to be applied in optical communication systems with high stability to support long-distance data transmission.

Trends and Mapping of Research on Artificial Intelligence-Based Antenna Optimisation: A Bibliometric Analysis Ramadani, Riski; Nikmah, Afiyah; Fadhilah, Nisaul; Firdaus , Rohim Aminullah; Ramadhani, Noer Risky
Journal of Law and Bibliometrics Studies Vol. 1 No. 2 (2025): July
Publisher : Sekolah Tinggi Agama Islam Sabilul Muttaqin Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63230/jolabis.1.2.85

Objective: This study aims to map the global research landscape on artificial intelligence (AI)-based antenna optimisation using a bibliometric approach. The objective is to identify publication trends, key contributors, collaborative networks, and emerging themes that define the development of this research domain. Method: The analysis was based on 4,814 documents retrieved from the Scopus database for the period 2010–2025. Data preprocessing included deduplication and keyword harmonisation. Bibliometric analysis was conducted using performance metrics (publication trends, influential authors, journals, countries) and science mapping (co-authorship, co-occurrence, co-citation) with VOSviewer and Bibliometrix. Results: Findings reveal three distinct publication phases: initial stagnation (2010–2016), growth (2017–2019), and exponential expansion (2020–2024), with a peak in 2023. China dominates global research output, followed by the United States and India. IEEE journals, particularly IEEE Access and IEEE Transactions on Antennas and Propagation, serve as the primary publication platforms. Co-authorship analysis indicates a highly centralised collaboration network with hubs like Zhang and Wang. At the same time, thematic mapping shows a strong focus on machine learning, deep learning, 5G or 6G technologies, and adaptive antenna design. Novelty: This paper provides a systematic, data-driven overview of the intellectual structure and thematic evolution of AI-based antenna optimisation research. It identifies gaps such as limited experimental validation, standardisation issues, and the need for AI-driven inverse design methods for next-generation communication systems.

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

Artificial Intelligence in Physics Learning for Education for Sustainable Development: A Bibliometric Analysis Ramadani, Riski; Alhusni, Hanan Zaki; Sunarti, Titin; Madlazim, Madlazim
Journal of Law and Bibliometrics Studies Vol. 1 No. 3 (2025): November
Publisher : Sekolah Tinggi Agama Islam Sabilul Muttaqin Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63230/jolabis.1.3.95

Objective: This study aims to map the global research landscape on Artificial Intelligence (AI) in physics education within the framework of Education for Sustainable Development (ESD) using a bibliometric approach. The objective is to identify publication trends, key contributors, collaborative networks, and emerging themes that define the development of this research domain. Method: The analysis was based on 4,814 documents retrieved from the Scopus database for the period 2015–2025. Data preprocessing included deduplication and keyword harmonization. Bibliometric analysis was conducted using performance indicators (publication output, influential authors, journals, countries, institutions) and science mapping (co-authorship, co-occurrence, co-citation) with VOSviewer and Bibliometrix. Results: Findings reveal three phases of publication dynamics: initial emergence (2015–2018), growth (2019–2021), and accelerated expansion (2022–2024), with a peak in 2024. The United States dominates global output, followed by China and Indonesia. Physics-focused journals such as Physical Review Physics Education Research and Journal of Physics: Conference Series serve as major outlets. Co-authorship networks show a core cluster in Europe and North America, while Asian and Global South researchers are increasingly active. Thematic mapping highlights clusters on AI-enabled assessment, machine learning, Large Language Models (LLMs), and sustainability-oriented physics education. Novelty: This paper provides a systematic overview of the intellectual structure and thematic evolution of AI-based physics education for ESD. It identifies gaps, including limited cross-country collaboration, low experimental validation, and uneven global participation, while highlighting opportunities for ethical, inclusive, and sustainability-aligned AI integration in future physics learning.

Trends and Mapping of Research on Artificial Intelligence-Based Antenna Optimisation: A Bibliometric Analysis Ramadani, Riski; Nikmah, Afiyah; Fadhilah, Nisaul; Firdaus , Rohim Aminullah; Ramadhani, Noer Risky
Journal of Law and Bibliometrics Studies Vol. 1 No. 2 (2025): July
Publisher : Sekolah Tinggi Agama Islam Sabilul Muttaqin Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63230/jolabis.1.2.85

Objective: This study aims to map the global research landscape on artificial intelligence (AI)-based antenna optimisation using a bibliometric approach. The objective is to identify publication trends, key contributors, collaborative networks, and emerging themes that define the development of this research domain. Method: The analysis was based on 4,814 documents retrieved from the Scopus database for the period 2010–2025. Data preprocessing included deduplication and keyword harmonisation. Bibliometric analysis was conducted using performance metrics (publication trends, influential authors, journals, countries) and science mapping (co-authorship, co-occurrence, co-citation) with VOSviewer and Bibliometrix. Results: Findings reveal three distinct publication phases: initial stagnation (2010–2016), growth (2017–2019), and exponential expansion (2020–2024), with a peak in 2023. China dominates global research output, followed by the United States and India. IEEE journals, particularly IEEE Access and IEEE Transactions on Antennas and Propagation, serve as the primary publication platforms. Co-authorship analysis indicates a highly centralised collaboration network with hubs like Zhang and Wang. At the same time, thematic mapping shows a strong focus on machine learning, deep learning, 5G or 6G technologies, and adaptive antenna design. Novelty: This paper provides a systematic, data-driven overview of the intellectual structure and thematic evolution of AI-based antenna optimisation research. It identifies gaps such as limited experimental validation, standardisation issues, and the need for AI-driven inverse design methods for next-generation communication systems.

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

Artificial Intelligence in Physics Learning for Education for Sustainable Development: A Bibliometric Analysis Ramadani, Riski; Alhusni, Hanan Zaki; Sunarti, Titin; Madlazim, Madlazim
Journal of Law and Bibliometrics Studies Vol. 1 No. 3 (2025): November
Publisher : Sekolah Tinggi Agama Islam Sabilul Muttaqin Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63230/jolabis.1.3.95

Objective: This study aims to map the global research landscape on Artificial Intelligence (AI) in physics education within the framework of Education for Sustainable Development (ESD) using a bibliometric approach. The objective is to identify publication trends, key contributors, collaborative networks, and emerging themes that define the development of this research domain. Method: The analysis was based on 4,814 documents retrieved from the Scopus database for the period 2015–2025. Data preprocessing included deduplication and keyword harmonization. Bibliometric analysis was conducted using performance indicators (publication output, influential authors, journals, countries, institutions) and science mapping (co-authorship, co-occurrence, co-citation) with VOSviewer and Bibliometrix. Results: Findings reveal three phases of publication dynamics: initial emergence (2015–2018), growth (2019–2021), and accelerated expansion (2022–2024), with a peak in 2024. The United States dominates global output, followed by China and Indonesia. Physics-focused journals such as Physical Review Physics Education Research and Journal of Physics: Conference Series serve as major outlets. Co-authorship networks show a core cluster in Europe and North America, while Asian and Global South researchers are increasingly active. Thematic mapping highlights clusters on AI-enabled assessment, machine learning, Large Language Models (LLMs), and sustainability-oriented physics education. Novelty: This paper provides a systematic overview of the intellectual structure and thematic evolution of AI-based physics education for ESD. It identifies gaps, including limited cross-country collaboration, low experimental validation, and uneven global participation, while highlighting opportunities for ethical, inclusive, and sustainability-aligned AI integration in future physics learning.

Exploratory Factor Analysis (EFA) of PhET Simulation-Based Innovation in Rigid Body Equilibrium Learning to Enhance Students’ Conceptual Understanding Alhusni , Hanan Zaki; Purnamawati , Ratna; Prahani, Binar Kurnia; Sunarti, Titin; Ramadani, Riski; Rizki, Iqbal Ainur
Journal of Digitalization in Physics Education Vol. 1 No. 3 (2025): December
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jdpe.v1i3.42475

Objective: This study aimed to analyze the validity and reliability of an instrument developed to measure students’ perceptions of PhET simulation–based innovations in learning rigid body equilibrium. The research sought to determine whether the instrument accurately captured students’ conceptual understanding, engagement, and satisfaction while also identifying latent factors underlying their responses through Exploratory Factor Analysis (EFA). Method: The study employed a quantitative survey approach with 25 Likert-scale items distributed to students in one secondary school. Data were analyzed using descriptive statistics, Kaiser-Meyer-Olkin (KMO), and Bartlett's test for sampling adequacy, followed by EFA with Varimax rotation. Reliability testing was conducted through Cronbach's Alpha to evaluate the internal consistency of extracted factors. Results: The findings revealed that the instrument achieved strong overall reliability (Cronbach’s α = .909). EFA identified nine distinct factors, extending beyond the original five theoretical dimensions of ease of use, engagement, conceptual clarity, collaboration, and satisfaction. While the first five factors demonstrated high reliability (α > .75), Factors 6–9 exhibited weaker reliability, indicating the need for refinement. These results confirm that PhET simulations effectively enhance conceptual understanding and engagement, but also reveal additional dimensions of students’ learning experiences. Novelty: This study contributes to physics education research by providing a validated multidimensional instrument for evaluating PhET-based learning in rigid body equilibrium. The emergence of nine empirical factors highlights the complex nature of students’ perceptions and underscores the need for more nuanced measurement tools. Unlike prior research focusing solely on conceptual gains, this study emphasizes the psychometric validation of students’ experiences, offering a novel framework for assessing technology integration in physics education.

E-Finansial dan Pemanfaatan Teknologi Blockchain Dalam Investasi Syariah Ramadani, Riski; Rangkuti, Monita; Rahmat, Paisal; Mardana, Yahya
Jurnal Ekonomi, Manajemen, Akuntansi dan Keuangan Vol. 7 No. 3 (2026): July
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/emak.v7i3.4049

Perkembangan pesat teknologi digital telah mentransformasi sistem keuangan, termasuk dalam praktik investasi syariah melalui pemanfaatan layanan e-finansial dan teknologi blockchaink. Penelitian ini bertujuan untuk menganalisis peran e-finansial dan integrasi teknologi blockchain dalam mendukung investasi syariah, serta mengidentifikasi peluang dan tantangan yang dihadapi. Penelitian ini menggunakan pendekatan kualitatif dengan metode studi pustaka melalui analisis berbagai literatur ilmiah yang relevan. Hasil penelitian menunjukkan bahwa e-finansial meningkatkan aksesibilitas dan inklusi keuangan, sementara blockchain meningkatkan transparansi, efisiensi, dan keamanan transaksi yang sejalan dengan prinsip-prinsip syariah seperti keadilan, transparansi, serta larangan riba, gharar, dan maysir. Selain itu, inovasi seperti smart contract dan tokenisasi aset mempermudah pelaksanaan akad dan memperluas akses investasi bagi masyarakat. Namun demikian, implementasi teknologi ini masih menghadapi berbagai tantangan, termasuk keterbatasan regulasi, rendahnya literasi masyarakat, serta potensi risiko keamanan. Oleh karena itu, integrasi e-finansial dan blockchain memiliki potensi signifikan untuk mengembangkan ekosistem investasi syariah yang lebih modern, inklusif, dan terpercaya, dengan dukungan regulasi yang adaptif serta peningkatan literasi sebagai faktor kunci keberhasilannya.

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