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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 874 Documents
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Policy Implications for the Green Bank Development in the Context of Global Climate Change Nga Phan Thi Hang
Emerging Science Journal Vol 6, No 4 (2022): August
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2022-06-04-011

Abstract

With the global financial crisis in 2008, climate change, and the COVID-19 pandemic, most countries worldwide have re-thought their organization and operating models in their financial systems, including the banking system. In Vietnam, sustainable economic development has become an essential need in the long term. However, sustainable development requires a balance between economic growth and environmental protection. Therefore, Vietnam has chosen to develop a green economy, in which "green banks" have an essential role. Green banking is a future banking model that balances all stakeholders' economic and environmental benefits and costs in banking activities. Green banking emerges as an ideal model for future banking, a foundation for a green economy and sustainable development. Therefore, the article analyzes the current situation and some challenges to promoting the development of green banking in Vietnam and proposes policy recommendations to promote green banking development in Vietnam in the coming time. The article used methods to test the reliability of Cronbach's alpha scale, exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and SEM to test the research hypotheses based on surveying 700 commercial bank managers and collecting data by a convenient sampling method from June 2021 to December 2021. Research novelty explores five factors affecting green bank development with a significance level of 1.0%. Finally, the author had policy implications for developing the green bank in the future. Doi: 10.28991/ESJ-2022-06-04-011 Full Text: PDF
The Mediating Effect of Knowledge Integration on the Relationship between Capability and Innovative Behaviour Suthiluk Lapsomboonkamol; Noawanit Songkram; Pattarporn Thamsuwan; Nutthakorn Songkram
Emerging Science Journal Vol 6 (2022): 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-2022-SIED-07

Abstract

One of the main success drivers of the Fourth Industrial Revolution is the integration of information technology and industry, which encourages innovation through collaboration between industry and academia. As a result, fostering innovative behaviour among undergraduates is essential for success in higher education throughout this revolution. The purpose of this study is to examine the direct effects of capability (leadership, technological literacy, interaction, knowledge sharing, and collaboration) on innovative behaviour and the indirect effect of knowledge integration's mediating role. Data from 3,230 undergraduates was collected and analysed. The provided hypotheses were validated using structural equation modelling, which demonstrated that capability significantly influenced the success of adopting innovative behaviour. Furthermore, we observed that knowledge sharing was the most powerful predictor. We also discovered that the intervening knowledge integration had an indirect effect, indicating the presence of a relationship between capability and innovative behaviour through this variable. When the direct and indirect effects were evaluated, the direct effect was substantially stronger than the indirect effect. The study's practical implications should focus strongly on promoting innovative behaviour and knowledge integration in the process of establishing appropriate educational programmes for universities. Furthermore, universities should develop strategies to encourage undergraduate students to share their knowledge and abilities with others since this improves performance and increases awareness of new prospects for innovation. In future research, we should include more educational institutions in our study, such as high schools, technical schools, and graduate students. Doi: 10.28991/ESJ-2022-SIED-07 Full Text: PDF
Flipping the Undergraduate Classroom to Develop Student Analytical Thinking Skills Nattawut Phurikultong; Thiyaporn Kantathanawat
Emerging Science Journal Vol 6, No 4 (2022): August
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2022-06-04-06

Abstract

In Thailand, analytical thinking skills (ATS) have been identified as an essential element in the development of a 21st-century workforce. Moreover, due to the Covid-19 pandemic and the concern for student health and safety, the Thai Ministry of Education has stated that online education will become part of the New Normal in education. Therefore, it has become imperative that the most effective methods and mechanisms be found for online teaching in Thailand. Therefore, the authors investigated which factors increase Thai student ATS by flipping the classroom environment and using digital storytelling and inquiry-based learning (IBL). Therefore, this research aims to develop and evaluate the LIFD ATS instruction model to study the proposed effects of the ATS instruction model. A mixed research methodology was employed. The mean, standard deviation, and t-test were used to analyze the data. From the qualitative review, an initial learning model was developed and subsequently examined by a panel of eight education experts. After that, 40 students became the study's experimental group for the revised model. The results showed that the results of the expert assessment of the learning environment model using a flipped classroom combined with IBL and digital storytelling to promote ATS and academic achievement had appropriateness at the highest level. The evaluation of the student results using the ATS model identified four significant results. These were: 1) Post-test after the student's use of the ATS model determined their ATS abilities were higher than before the class. 2) Student learning achievement, innovation, and ICT skills increased as an outcome of the ATS model’s use. 3) The comparison of academic achievement after study of the students who studied with the format was 83.33%, higher than the specified 80% criteria and previously established assumptions. 4) The evaluation results of the model’s effectiveness determined that the learning effectiveness index (EI) of the learners was 0.6666 and the EI of the ATS was 0.6966, which was higher than 0.50, thus meeting the specified criteria. The study contributes to the knowledge concerning student ATS and these skills’ importance to a 21st century knowledge worker. Doi: 10.28991/ESJ-2022-06-04-06 Full Text: PDF
Empirical Evaluation of Educational Service Quality in the Current Higher Education System Lili Abdullah Rozak; M. Bahri Arifin; Inna N. Rykova; Olga A. Grishina; Aan Komariah; Diding Nurdin; Vadim V. Ponkratov; Gevorg T. Malashenko; Mikhail E. Kosov; Olesya V. Dudnik
Emerging Science Journal Vol 6 (2022): 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-2022-SIED-05

Abstract

During the transition to the mixed education model during the Covid-19 pandemic, some issues have emerged in the matter of providing and supporting the quality of university education in all countries, including educational programs' relevance to the demands of the labor market, expectations of students and their families, digital transformation of the educational process, and economic stability of institution networks. The purpose of the research was to evaluate the quality of educational services in the higher education systems of Indonesia and Russia. The study systematized several essential factors for achieving educational service quality in the current higher education systems, given the limitations imposed by Covid-19. Following this objective, the study utilized a quantitative approach, adopting the SERVQUALmodel that measures the service quality across five service dimensions: tangibility, reliability, responsiveness, assurance, and empathy. The model aided the development of the questionnaire to assess the quality of the educational services of Indonesian and Russian universities. The questionnaire included 25 close-ended questions on two scales: one to measure the students' expectations regarding the quality of educational services and the other to measure the students' current perceptions. A snowball technique was used to recruit students from Indonesian and Russian universities as participants in the study. The students were asked to assess the educational services of their universities based on their initial expectations and current perceptions. Overall, the students of both countries revealed that they had high expectations from the educational services of their universities. However, the current perceptions of the Russian students regarding the quality of educational services provided by their universities are higher and more positive than the perceptions of the Indonesian students regarding the quality of educational services being delivered to them. The findings of the study have implications for education practitioners. Doi: 10.28991/ESJ-2022-SIED-05 Full Text: PDF
Soliton-like Solution on the Dynamics of Modified Peyrard-Bishop DNA Model in the Thermostat as a Bio-Fluid T. E. P. Sutantyo; A. Ripai; Z. Abdullah; W. Hidayat; Freddy P. Zen
Emerging Science Journal Vol 6, No 4 (2022): August
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2022-06-04-01

Abstract

The Peyrard-Bishop (PB) DNA model is the most representative model to investigate DNA dynamics because the model is able to answer DNA denaturation processes even though the model has restricted review that DNA assumes without surrounding interaction. In this study, we investigate the dynamics of the modified PB DNA model by considering DNA in the Nosé-Hoover thermostat as a bio-fluid with various viscosities. Viscosity variations are reviewed through temperature variations, namely thermal viscosity. We attain the dynamical equation of DNA in the form of a nonlinear Schrödinger-like (NLS-like) equation by using the perturbation method and continuous approximation. We solve the NLS-like equations by the numerical split-step Fourier method. We obtain a soliton-like solution for the dynamics of this specific DNA model. The behavior of the soliton-like solution fluctuates as the temperature increases, representing the fluctuational openings of DNA, i.e., denaturation bubbles. In addition, that behavior also evolves with variations of the perturbation parameter. Moreover, we obtain soliton-like solutions by balancing the perturbation and the nonlinearity of the DNA system from the bio-fluid interaction. Furthermore, for the specific thermal viscosity of bio-fluid, we gain the denaturation temperature at 370 K ≤ T ≤ 380 K. Doi: 10.28991/ESJ-2022-06-04-01 Full Text: PDF
Application of Machine Learning Methods for Asset Management on Power Distribution Networks Gopal lal Rajora; Miguel A. Sanz-Bobi; Carlos Mateo Domingo
Emerging Science Journal Vol 6, No 4 (2022): August
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2022-06-04-017

Abstract

This study aims to study the different kinds of Machine Learning (ML) models and their working principles for asset management in power networks. Also, it investigates the challenges behind asset management and its maintenance activities. In this review article, Machine Learning (ML) models are analyzed to improve the lifespan of the electrical components based on the maintenance management and assessment planning policies. The articles are categorized according to their purpose: 1) classification, 2) machine learning, and 3) artificial intelligence mechanisms. Moreover, the importance of using ML models for proper decision making based on the asset management plan is illustrated in a detailed manner. In addition to this, a comparative analysis between the ML models is performed, identifying the advantages and disadvantages of these techniques. Then, the challenges and managing operations of the asset management strategies are discussed based on the technical and economic factors. The proper functioning, maintenance and controlling operations of the electric components are key challenging and demanding tasks in the power distribution systems. Typically, asset management plays an essential role in determining the quality and profitability of the elements in the power network. Based on this investigation, the most suitable and optimal machine learning technique can be identified and used for future work. Doi: 10.28991/ESJ-2022-06-04-017 Full Text: PDF
The BEE Model with Live Virtual Classroom to Enhancing Creative Works N. Sitthimongkolchai; C. Viriyavejakul; S. Tuntiwongwanich
Emerging Science Journal Vol 6 (2022): 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-2022-SIED-08

Abstract

Online learning is recognized as an effective teaching method and tool, widely integrated into different teaching and learning strategies to provide quality education at different levels. However, the field of design education does not have extensive research into online learning, delivery, and assessment. This study developed an online learning model for design disciplines to improve creative work effectively. This paper describes an empirical study to test the BEE model outcomes developed following previous research. This present study has focused on the intensity of the live virtual classroom in every step to compare differences in the scores of creative works. Therefore, the assumption was that Thai undergraduate design students who learned with the BEE model through live classroom learning (experimental group) would have at least one element of the creative work scores compared to the group learning through the traditional online teaching method (control group). Furthermore, we conducted a multistage randomized sample of 66 participants, divided into an experimental group of 33 participants and a control group of 33 subjects. To compare the scores of creative works, the test of creative works assessment rubric was used to collect the data. Then, they were analyzed using the MANOVA statistical test. The results found at least one element of them, and the average creative work scores of the experimental group showed that they were significantly higher than the control group (p<0.05). Doi: 10.28991/ESJ-2022-SIED-08 Full Text: PDF
Ratification of ICRMW toward the ILO Conventions amid COVID-19 in Thailand Siwarut Laikram; Shubham Pathak
Emerging Science Journal Vol 6 (2022): Special Issue "COVID-19: Emerging Research"
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/esj-2022-SPER-014

Abstract

Globalization has opened the avenues for the world to come together and attain sustainable growth. Migrant workers are a lifeline for several countries' labour forces and productivity. However, in Thailand, the rights of these migrants are restricted due to the non-ratification of the International Convention on the Protection of the Rights of Migrant Workers and Family Members (ICRMW). This research explores and analyzes various factors essentially responsible for the ratification of ICRMW in Thailand. The methodology adopted is the mixed method. The collected data were analyzed based on a socio-legal approach, with qualitative and quantitative tools and techniques combined: the strength, weakness, opportunity, and threats (SWOT) technique was integrated into the analytic hierarchy process (AHP) (SWOT-AHP). The findings suggest that Thailand has not yet ratified the ICRMW conventions, including ILO C-87 and ILO C-98, thus depriving migrant workers of protection. They are not protected by national law and are not entitled to equal protection as nationals: for instance, foreign workers are forbidden from migrating to the established labour unions and enjoying medical benefits and salaries. All these must be consistent with the conventions, particularly the Labor Protection Act, B.E. 2541 (1998) and the Labor Relations Act B.E. 2518 (1998). The novelty of this research is the analysis of the domestic and international laws in the Thai context, which depicts the need for ratification of ICRMW to protect migrant workers and their families. The findings can pave the way for similar future research in other ASEAN member countries. Doi: 10.28991/esj-2022-SPER-014 Full Text: PDF
Examining Contactless Digital Technologies (CDTs) in the Midst of the COVID-19 Tibor Csizmadia; Nora Obermayer; Zsuzsanna Banasz
Emerging Science Journal Vol 6 (2022): Special Issue "COVID-19: Emerging Research"
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/esj-2022-SPER-015

Abstract

The COVID-19 pandemic brought CDTs to the forefront of business life. This study provides an important insight into a specific country's context, which has not been sufficiently investigated. This paper aims 1) to investigate how companies’ general characteristics impact the use of contactless digital technologies (CDTs) in Hungary; 2) to examine employees’ attitudes regarding the use of CDTs; and 3) to explore how firms have tried to enhance employees’ acceptance of CDTs. A computer-assisted data collection (CAPI) was carried out during the coronavirus (COVID-19) period. The online questionnaire was completed by employees of Hungarian companies. Descriptive statistics and relationship analyses (Cramer's V and Kendall's Tau) were used to analyse the collected data ( ). Results indicate that 1) the general characteristics of companies, such as their profile and size, have a significant impact on the use of CDTs; 2) the typical attitude of employees towards CDTs is rather positive; and 3) the acceptance of the use of CDTs can be supported by practical rather than theoretical solutions. The result can add value and stimulate new research related to the usage of CDTs, potentially serving as a useful benchmark for other countries. Doi: 10.28991/esj-2022-SPER-015 Full Text: PDF
Turning Pirates into Subscribers: A Status Quo Bias Perspective on Online Movie Service Switching Intention Panca O. Hadi Putra; Muhammad Imam Santosa; Ika Chandra Hapsari; Achmad Nizar Hidayanto; Sherah Kurnia
Emerging Science Journal Vol 6, No 5 (2022): October
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2022-06-05-06

Abstract

This study aims to analyze the factors that influence a person's intention to use a subscription-based streaming service application using the perspective of the inertia of piracy movie application users. This study investigates the factors that affect the inertia of movie piracy application users. The theory used is a combination of the status quo bias theory and coping theory. This research uses a quantitative approach and an online survey method for data collection. Data collection resulted in 378 responses that were subsequently analyzed using the covariance-based structural equation modeling (CB-SEM) technique. It was found that inertia (the level of user inertia) negatively affects intention to use (the intention to use a subscription-based streaming service application) and convenience. In addition, convenience, perceived controllability (a person's level of control over the application), and morality positively influence intention to use. Furthermore, it was also found that perceived cost and personalization do not affect the intention to use. Inertia is also positively and significantly influenced by the transition cost (effort to move). The factors that have the highest correlation values are transition cost and inertia. Doi: 10.28991/ESJ-2022-06-05-06 Full Text: PDF

Page 35 of 88 | Total Record : 874

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