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INDONESIA
Emerging Science Journal
Published by Ital Publication
ISSN : 26109182     EISSN : -     DOI : -
Core Subject : Social,
Environmental Science
Emerging Science Journal is not limited to a specific aspect of science and engineering but is instead devoted to a wide range of subfields in the engineering and sciences. While it encourages a broad spectrum of contribution in the engineering and sciences. Articles of interdisciplinary nature are particularly welcome.
Arjuna Subject : -
Articles 803 Documents
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Empowering Higher Education Through Digital Transformation and Strategic Planning for Academic Advancement Al-Shamsi, Ibrahim Rashid
Emerging Science Journal Vol 8 (2024): Special Issue "Current Issues, Trends, and New Ideas in Education"
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2024-SIED1-019

Abstract

The digitalization of strategic planning is crucial for Oman's postsecondary higher education. This study focuses on the impact of automating and digitalizing strategic planning management to bridge gaps and improve decision-making. Aligning strategies with goals through digitalization enhances academic excellence and global recognition, providing valuable insights for Omani higher education managers. Investigating strategic planning automation in non-Western settings, it advocates for integrating digital tools to advance academia globally. The main objective is to assess how automation and digital information affect these institutions' effectiveness, accuracy, and efficiency in strategic planning. Structural Equation Modeling (SEM) used as the primary methodology. The dataset consists of 224 participants and 15 indicators. Both the measurement model and structural model were employed for analysis and testing. The results show that a two-tailed test with t=-1.96 at a 95% significance level found automation significantly affects strategic planning (B=0.36, t=2.97, p=0.000), and digitalization significantly affects strategic planning (B=0.30, t=2.68, p=0.01). Mediation analysis of automation as a mediator revealed a noteworthy indirect relationship between digitalization and effective strategic planning (B=0.30, t=2.96, p=0.000). While automation offers many advantages, digitalization enables a more comprehensive and fundamental change that supports various strategic goals. By integrating digitalization into their strategic planning, organizations can create a robust digital infrastructure that improves data capabilities, encourages innovation, and boosts agility, providing a sense of security about the future of Omani higher education. This positions them for long-term success and resilience in the face of changes in the business environment. Doi: 10.28991/ESJ-2024-SIED1-019 Full Text: PDF
Exploring the Spatial Spillovers of Digital Finance on Urban Innovation and Its Synergy with Traditional Finance Song, Xiaoling; Qin, Xuan; Wang, Wanmeng; Li, Rita Yi Man
Emerging Science Journal Vol 9, No 1 (2025): February
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2025-09-01-024

Abstract

Research on the driving role of digital finance in urban innovation is scarce. Most existing literature focuses on whether digital or traditional finance contributes more to innovation, ignoring the spatial spillover effect of digital finance and failing to explore whether digital finance complements traditional finance in promoting innovation. Moreover, current studies focus on the provincial dimension but elaborate very little on the implications of BRI node cities. This study fills in the gaps by focusing on the spatial spillover effects of digital finance on urban innovation and complementary functions of traditional finance. It applies the spatial Durbin model to 26 China BRI node cities from 2013 to 2020. The results indicated that digital finance has a significant positive effect on the innovation level of these cities, suggesting that digital and traditional finance systems are complementary in promoting innovation. Moreover, the evidence of spatial spillover proves that innovations in node cities influence neighboring regions. This paper contributes to the interaction between digital finance and urban innovation with new insights. It also fills the literature gap by underlining the spatial dynamics rather than traditional panel approaches. The results are useful for policymakers in harnessing financial mechanisms for innovation and economic growth. Doi: 10.28991/ESJ-2025-09-01-024 Full Text: PDF
A Comparative Study of Material and Structural Configurations in Piezoelectric Energy Harvesting Syed, Fahmidul Huq; Thong, Li Wah; Baig, Mirza Farrukh; Chan, Yee Kit; Efzan, M. N. Ervina
Emerging Science Journal Vol 9, No 1 (2025): February
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2025-09-01-019

Abstract

The objective of this study is to evaluate the energy harvesting performance of piezoelectric cantilever beams using three configurations—unimorph, bimorph, and stack—with two piezoelectric materials, PZT-5A and PVDF. The methodology involved a detailed analysis of voltage, mechanical power, and electrical power outputs across varying frequencies and load resistances. Experiments were conducted at the resonance frequencies of each beam configuration and material to determine their energy conversion efficiency. The results reveal that PZT-5A significantly outperformed PVDF, with PZT-5A's voltage output being up to 94% higher at resonance. Among the configurations, the bimorph beam with PZT-5A demonstrated the highest energy conversion efficiency, achieving a 50% increase in electrical power output compared to the unimorph configuration and a 9% improvement over the stack configuration. Load resistance analysis also indicated optimal energy harvesting in the range of 104 Ω to 105Ω. The novelty of this research lies in its comprehensive comparison of different materials and configurations, highlighting the critical role of structural design and material properties in optimizing piezoelectric energy harvesters for low-power applications. These findings provide valuable insights for improving the efficiency of piezoelectric devices in various practical applications. Doi: 10.28991/ESJ-2025-09-01-019 Full Text: PDF
E-Learning Integration and Its Impact on MIS Skill Development and Student Engagement Shannaq, Boumedyen
Emerging Science Journal Vol 8 (2024): Special Issue "Current Issues, Trends, and New Ideas in Education"
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2024-SIED1-025

Abstract

This paper aims to establish the possibilities of incorporating e-learning in the management information system (MIS) for Omani students’ improvements. The first purpose was to establish whether there was a relationship between e-learning integration and MIS skill development; the second purpose was to further test whether student engagement moderated the relationship or acted as a mediator between the two constructs; and the third purpose was to consider whether or not instructor proficiency and institutional support had a moderating effect on this relationship. Participants included 420 students and lecturers from Omani universities. The study also supported H1 and revealed that e-learning integration significantly, though moderately, enhanced student readiness, with a mean increase of 0.141 (p=0.002). The study revealed that student engagement can only partially mediate this relationship, with a regression coefficient of 0.051 and a significance level of 0.001. Yet, the expertise level of the instructor did not emerge as a significant moderator in this relationship (β=-0.027, p=0.292), thus resulting in another rejection of H3. On the other hand, institutional support had a direct positive effect on the readiness of the students for e-learning when integrated in teaching activities, thus supporting H4 (β=0.071, p=0.05). The R-square change (∆R² = 0.005) indicates that the use of moderators increases explained variance by a small extent. The following findings can assist policymakers and educators in improving MIS education in Oman by leveraging institutional support for e-learning to enhance skills. Doi: 10.28991/ESJ-2024-SIED1-025 Full Text: PDF
Machine Learning and Parameter Optimization for Banking Stability Prediction and Determinants Identification in ASEAN Tu, Pham Thuy; Oanh, Dao Le Kieu; Trang, Do Doan
Emerging Science Journal Vol. 9 No. 3 (2025): June
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2025-09-03-04

Abstract

This study leverages machine learning and advanced variable selection techniques to enhance the prediction of the Bank Financial Stability Index (Z-score) in emerging ASEAN markets. Utilizing a comprehensive secondary dataset comprising macroeconomic and bank-specific indicators from 61 commercial banks across Indonesia, Malaysia, the Philippines, Singapore, Thailand, and Vietnam (2010–2023), we systematically evaluate the predictive power of multiple machine learning models. A rigorous cross-validation framework is employed to optimize forecasting accuracy, integrating Linear Regression, Random Forest, K-Neighbors, Decision Tree, Gradient Boosting, AdaBoost, Support Vector Regression, and XGBoost with Lasso, Ridge, and Elastic Net regularization. Empirical results reveal that key drivers of financial stability include equity capital, financial leverage, return on equity, GDP growth, inflation, technological advancements, and systemic shocks like the COVID-19 pandemic. Notably, the Ridge-optimized XGBRegressor model achieves the highest predictive accuracy (~89%), demonstrating the efficacy of hybrid machine learning approaches in financial stability forecasting. These findings offer crucial insights for policymakers and regulators, facilitating data-driven strategies to strengthen banking resilience and mitigate systemic risks in volatile economic environments. Jel Classifier: C45, C52, C55, G21, G32.
Driving Social Entrepreneurship Among Students: Investigating Through PLS-SEM and fsQCA Approaches in Emerging Economies Shabbir, Rubaiyat; Uddin, Bashir; Kumar, Subrata; Rashed, Md.; Rahman, Yeanur; Chowdhury, Sourav Paul; Rahaman, Munmun; Islam, Mohammad Fakhrul
Emerging Science Journal Vol. 9 No. 3 (2025): June
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2025-09-03-023

Abstract

This study aims to identify the relationship between social self-efficacy, social innovation, resilience, and proactive personality concerning university students’ behavioral intention to engage in social entrepreneurship, particularly in emerging economies, like Bangladesh. A structured questionnaire was utilized to collect quantitative data from 540 students in various disciplines of study as part of the study's quantitative research methodology using partial least squares-Structural Equation Modelling (PLS-SEM) and fuzzy-set Qualitative Comparative Analysis (fsQCA). The analysis reveals that proactive personality traits are associated with the social entrepreneurship intention (SEI) and that leadership orientation is also significant to SEI. The study also demonstrates that social entrepreneurial activities tend toward higher social self-efficacy and resilience, making it crucial to focus on such characteristics while facing social risk and bearing innovations. This study's novelty lies in its focus on the unique combination of psychological traits—social self-efficacy, social innovation, resilience, and proactive personality—and their impact on university students' intention to engage in social entrepreneurship in emerging economies. Additionally, the research emphasizes the importance of integrating leadership skills and social innovation into academic curricula and policy development to foster social entrepreneurship. Practical implications indicate that leadership skills and social innovation should be included in the curricula of educational institutions, and supportive policies should be developed to create available resources for prospective social entrepreneurs.
Exploring the Relationship Between Stress, Burnout, and Occupational Accidents in Civil Construction Tran, Anh Viet; Tran, Hung Van; Luong, Trung Thanh; Nguyen, Tuong N. C.
Emerging Science Journal Vol. 9 No. 4 (2025): August
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2025-09-04-019

Abstract

This study investigates the factors influencing work-related stress, burnout, and occupational accidents in the civil construction sector. Using a mixed-methods approach, the research integrates both qualitative and quantitative methodologies. Measurement scales for stress, fatigue, and occupational accidents were reviewed, translated, and adapted from prior studies to suit the context of construction workers. A total of 275 questionnaires were distributed, with 269 valid responses analyzed using SmartPLS (ver 3.2.8). Data analysis encompassed evaluating the validity and reliability of scales and exploring the relationships among key concepts in the research model. The findings highlight the significant influence of job attributes, co-worker relationships, and work environment on work-related stress. These factors trigger psychological changes that exacerbate worker fatigue and contribute to increased occupational accident rates. Novel insights emphasize the interdependence of these elements in shaping worker behavior and safety outcomes. The study provides a foundation for developing targeted strategies to mitigate stress and fatigue, reduce occupational hazards, and promote well-being among construction workers. By offering an integrated analysis, this research contributes to advancing the understanding of safety management practices in the construction industry.
Nonlinear and Heterogeneous Effect of Digitalization on Foreign Direct Investment: Evidence from Developing Countries Ho, Thi Lam; Ngoc, Le Hong; Ho, Thu Hoai
Emerging Science Journal Vol. 9 No. 4 (2025): August
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2025-09-04-011

Abstract

This study aims to clarify whether digitalization has a nonlinear and heterogeneous effect on foreign direct investment (FDI) inflows in developing countries. We employ data from the period 2002–2023 and apply various econometric methods, including System Generalized Method of Moments (S-GMM), Dynamic Panel Threshold Regression (DTPR), and Method of Moment Quantile Regression (MMQR), to address the research question. The findings report an inverted U-shaped relationship between digitalization and FDI. Specifically, the effect of digitalization on FDI changes across different levels of digitalization. Initially, digitalization positively affects FDI, but beyond a certain threshold, its impact turns negative. This indicates that the benefits of digitalization for FDI are not unlimited but may be constrained by the risks and costs associated with excessive digital infrastructure expansion. Additionally, the MMQR analysis shows a heterogeneous effect of digitalization on FDI. Digitalization has a stronger impact on FDI at lower quantiles. However, as a country's development level increases, the effectiveness of digitalization in attracting FDI gradually diminishes. Policymakers need to identify and maintain an optimal level of digitalization to promote FDI. This requires not only investment in digital infrastructure but also in supporting factors such as improved governance quality and the development of legal frameworks to ensure a stable and conducive economic environment for FDI. Moreover, flexible policies tailored to different country or regional groups are necessary to maximize the benefits of digitalization without triggering negative impacts on long-term economic development.
Alternative Method for Calculating Service Level Agreements for Internet Access Services in Rural Areas Edward, Ian Josef Matheus; Situmorang, Hamonangan; Fajrin, Noer; Alfarobby, Daffa F.; Royyan, Aulia; Nur Muhammad, Jabar
Emerging Science Journal Vol. 9 No. 4 (2025): August
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2025-09-04-016

Abstract

Indonesia faces significant challenges in providing equitable internet access, particularly in remote areas. To address these challenges, the government collaborates with private Internet Service Providers (ISPs) under Service Level Agreements (SLAs) that define key service metrics, such as uptime and response time. Network Management System A (NMS A), managed by the government, handles telecommunications infrastructure, while NMS B, operated by the private ISP, delivers the internet services. A critical challenge in assessing SLA performance is distinguishing between service disruptions caused by network issues and those caused by power outages. This study proposes an SLA calculation method that prioritizes uptime data from NMS A, reflecting the government's perspective. If NMS A’s data is unavailable, UPS data is used as an alternative. NMS B’s data is considered only if its correlation with NMS A is strong (≥0.6). Additionally, the study classifies downtime: link failures exceeding 300 seconds require compensation (restitution). Downtime less than or equal to 300 seconds is considered non-restitution, and no compensation is needed. Power outages are considered non-restitution events, as they stem from external factors beyond the service provider's control. This method has been tested in over 1,000 locations, proving its reliability and adaptability for fair, transparent SLA evaluations.
Optimization of nSiO2-Filled RTV Silicone Rubber Coatings for Enhanced High Voltage Outdoor Insulator Performance Nalendra, Agustinus D.; Rachmawati; Alifianda, Aulia R.; Permatasari, Fitri A.; Suwarno
Emerging Science Journal Vol. 9 No. 4 (2025): August
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2025-09-04-025

Abstract

This paper presents the experimental results of leakage current testing on nanosilica (nSiO₂)-filled room-temperature vulcanized (RTV) silicone rubber (SiR) coatings for outdoor insulators. Nanosilica composition is prepared based on the optimization results of surface hydrophobicity, surface resistivity, and relative permittivity of the RTV SiR matrix with varying nSiO2 contents. The study found that the insulator with a 4 wt.% nSiO₂-filled RTV SiR coating had the highest surface resistivity, better hydrophobicity, and higher permittivity compared to the unfilled RTV SiR coating. Leakage current tests are performed under several conditions (dry, clean fog, and salt fog) to evaluate the insulation characteristics of the modified RTV SiR coating applied on an actual high-voltage insulator. The results indicate that the 4 wt.% nSiO2-filled RTV SiR-coated insulator significantly reduces the leakage current magnitude and Total Harmonic Distortion (THD) when compared to that of the uncoated as well as to that of unfilled RTV SiR-coated insulators. Under all fog conditions, the 4 wt.% nSiO2-filled RTV SiR-coated insulator with a polluted surface showed the smallest leakage current THD percentage of all insulator samples. Additionally, the cross product of the leakage current magnitude and THD is also calculated to determine the condition of the insulator. The cross-product results show that the 4 wt.% nSiO₂-filled RTV SiR-coated insulator is more effective at reducing it under dry conditions, with a reduction range of 68%–81% compared to the uncoated isolator and 70%–77% compared to the unfilled RTV SiR-coated isolator. This study shows the effectiveness of RTV silicone rubber coating material with nSiO2 filler particles in reducing the magnitude of leakage current and harmonics in polluted environments.

Page 74 of 81 | Total Record : 803

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