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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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Teachers’ Perception for Integrating Educational Robots and Use as Teaching Assistants in Thai Primary Schools Kajornpong Poolsawad; Noawanit Songkram; Krerk Piromsopa; Nutthakorn Songkram
Emerging Science Journal Vol 4 (2020): Special Issue "IoT, IoV, and Blockchain" (2020-2021)
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/esj-2021-SP1-09

Abstract

This study focused on teachers’ perception for integrating educational robots into learning and the feedback of teachers and students who used an education robot prototype as a part of learning. Data were collected from 510 primary school teachers who were used in a confirmatory analysis of factor model. Confirmatory Factor Analysis (CFA) indicated a good fit with a six-factor model in the observed data, which could be presented through six dimensions of robotic education quality, including social interaction, cognitive function, teaching method, learner characteristics, main features, and content. The prototype-testing phase was carried out using 5th grade students at a primary school in Thailand. The robot was tested for 10 hours, which included 20 students participating in the focus group. The research results showed that integrating the six dimensions of robotic education into the educational robot prototype resulted in a strong positive improvement in the focus groups learners’ behavior and supported the instructors during the learning process. In contrast, some teachers lacked experience and confidence with robots integrated with LMS, which caused challenging obstacles in teaching. The results were achieved when integrating the six-factor model into education robots to improve student learning. Future researchers should expand their studies to look into the opportunities and challenges that teachers and school administrators face in the classroom. Doi: 10.28991/esj-2021-SP1-09 Full Text: PDF
Qualitative Exploration of Legal, Economic and Health Impacts of Covid-19 in Saudi Arabia Yusuff Jelili Amuda; Emna Chikhaoui; Shafiqul Hassan; Mohsin Dhali
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-01

Abstract

Since the outbreak of COVID-19, several researches have been conducted in different parts of the world, including Saudi Arabia. However, there is little focus of attention on qualitative exploration of the impacts of COVID-19 in the context of Saudi Arabia. The primary objective of this study was to explore the opinions of legal, economic, and medical experts pertaining to the impacts of COVID-19. The methodology employed in this paper was a qualitative research design. The data was collected with a specific focus on the use of an in-depth interview. Fifteen (15) participants among the legal, economic, and medical experts were finally used for the interview among the targeted participants. In order to analyze the data, different themes were generated from the transcribed interviews, which were: Overview of COVID-19, legal, economic, health impacts. The finding of the study revealed that the current pandemic of Covid-19 has multidimensional impacts in Saudi Arabia. The pandemic has negative impact not only on the social and economic areas but also on the legal sphere. Social and economic impacts of the Covid-19 increase the inequality, discrimination, unemployment, deprivation of usual education, and disruption in business activities. The findings further indicated that the legal impact of COVID-19 has been mentioned in the aspect of the inability to perform contracts that have the potential to trigger default or force majeure provisions leading to litigation or reconciliation. In addition, the participants also acknowledged the health impact of COVID-19 in causing anxiety, suffering from illness, loneliness, depression, and causing death, among others. If not properly addressed through effective measures and policy, the impact of the COVID-19 on the legal, economic, and health spheres would have severe consequences. Therefore, it is recommended that all the stakeholders, especially the government of Saudi Arabia should effectively and efficiently address the legal, economic, and health impacts of COVID-19. Doi: 10.28991/esj-2022-SPER-01 Full Text: PDF
Modification of CSE-UCLA and Discrepancy as a New Evaluation Model in Education P. Wayan Arta Suyasa; Dewa Gede Hendra Divayana
Emerging Science Journal Vol 5, No 6 (2021): December
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/esj-2021-01321

Abstract

The absence of an evaluation model that can be used to evaluate the effectiveness of educational activities at vocational universities in the view of six domains causes the need to find innovations in an evaluation model. The six domains, included: context, input, socialization process, implementation process, results, and imbalances that occur in the learning implementation. An evaluation model innovation was initiated through this research in the form of a modification of two educational evaluation models. Those models are CSE-UCLA and Discrepancy. Based on those conditions, the main objective of this research was to demonstrate the existence of a new evaluation model design in education which was a modification of the CSE-UCLA evaluation model and the Discrepancy evaluation model. Specifically, this evaluation model design can be used to determine the effectiveness of the one education activity namely the synchronous learning implementation at vocational universities. The research method used to achieve the objectives of this research was the development method by the Borg and Gall model development design. Five stages of development become the focus of this research, included: research and field data collection, research planning, design development, initial trials, and main product revision. The location of this research was conducted in several vocational universities in the North Bali area (Indonesia). Subjects involved in the initial trials toward this evaluation model design were 20 people. The tools used to conduct the initial trials were questionnaires. The technique used to analyze the data of initial trial results was descriptive quantitative by comparing the percentage of the initial trial results with the standard percentage of the effectiveness level of modified model design. This research results indicate that the evaluation model design was categorized as effective by an effectiveness level was 81.93%. The implication of this research results was the existence of a new design of the educational evaluation model. This design combines two evaluation models to produce good functionality integration in determining the effectiveness level of the synchronouslearning implementation in all universities generally and in vocational universities in Bali particularly. Doi: 10.28991/esj-2021-01321 Full Text: PDF
Study of Perceived Accessibility in Daily Travel within the Metropolis Anastasia Vladimirovna Lukina; Roman Roaldovich Sidorchuk; Sergey Vladimirovich Mkhitaryan; Anastasia Alexeevna Stukalova; Irina Ivanovna Skorobogatykh
Emerging Science Journal Vol 5, No 6 (2021): December
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/esj-2021-01316

Abstract

The growth of metropolises and the number of vehicles cruising within their boundaries creates a permanent problem of dissatisfaction with transport accessibility. This study aims to identify the difference between perceived (PA) and objective (OA) transport accessibility. For its implementation, it was necessary: to explore PA between different residential areas and travel modes, reveal the influence of the travel regime on the PA, compare the impact of social-demographic factors on the individuals' PA. The research methodology is based on a large cross-sectional study with 2,275 respondents. A quota sample was used for 12 administrative districts of the Moscow metropolis. The data was processed by IBM SPSS Statistics 20 statistical program to obtain descriptive statistics indicators. Correlation analysis of the respondent's answers to the four items for PA assessment was performed to assess the relationship between the results of the solutions. Next, a synthetic index of PA was calculated and analyzed differences using the integral index PA. The relationship significance was assessed using F-criterion-based one-way ANOVA. The novelty of our study is as follows: it contributes to previous research on the possibility of measuring perceived affordability in metropolitan areas and benchmarking OA and RA. Doi: 10.28991/esj-2021-01316 Full Text: PDF
Leveraging Financial Technology Entity into Sustainable Bank Performance through a Competitive Advantage Steph Subanidja; Fangky Antoneus Sorongan; Mercurius Broto Legowo
Emerging Science Journal Vol 6, No 1 (2022): February
Publisher : Ital Publication

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

Abstract

The study investigates the existence of a fintech entity that effect sustainable bank performance through competitive advantage and introduces a new fintech entity as an antecedent of competitive advantage and performance. Analysis of the causes of disturbance of the performance uses quantitative and qualitative approaches. The study uses 59 questionnaires returned from all 70 bank financial managers as a National Commercial Bank Association member. Five informants were selected from the Central Bank of Indonesia, the Financial Services Authority, the Indonesian Fintech Association, a bank business player, and the Commercial Bank Association Management. Using Partial Least Square, the results show that the fintech entity can drive sustainable bank performance, directly and indirectly, through competitive advantage. The existence of fintech is a dominant factor for achieving performance. From the informants, the results show that collaboration with a fintech entity is necessary and initially, the banks in running a business based on a perspective of experience. Moreover, Informants predicted that fintech and competitive conditions would significantly influence performance in the present and the future. Then, the implication is that fintech cannot be avoided but must be embraced as bank cooperation partners to sustain the performance. Doi: 10.28991/ESJ-2022-06-01-04 Full Text: PDF
Addressing the Impact of COVID-19 and Non-Pharmaceutical for Perception Tourism Using Frequentist PLS-SEMs Pahrudin Pahrudin; Li-Wei Liu; Shao-Yu Li; Didy Ika Supryadi
Emerging Science Journal Vol 5 (2021): Special Issue "COVID-19: Emerging Research"
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/esj-2021-SPER-15

Abstract

The pandemic Covid-19 has been changing tourist behavior to visit a tourism destination. This study aims to investigate tourist’ visit intention after Covid-19 pandemic period in Indonesia by addressing the Covid-19 phenomenon, health consciousness and theory planned behavior framework. To answer hypotheses in this study, Confirmatory Factor Analysis-Structure Equation Model is used with quantitative approach. The research model is examined by SEM-PLS, using SmartPLS-3 software to analyze research framework. The results show that Covid-19 perception had not significantly impacted attitude, subjective norm, perceived behavioral control and intention. However, the perception of Covid-19 has a significant impact on non-pharmaceutical intervention, which in turn delivers a significant impact on attitude, subjective norm, perceived behavior control and visit intention. The hypothesis presumes that attitude, subjective norm, and perceived behavior control all have significant impact on intention to visit. In contrast, variable of health consciousness works less impact on intention to visit. This study makes significant contribution to the tourism literature by considering health issue and tourist visit behavior after Covid-19 period in Indonesia. Doi: 10.28991/esj-2021-SPER-15 Full Text: PDF
Multi-Perspective Decision-making Cloud Computing Adoption Model for Small and Medium Enterprises (SMEs) Can Sayginer; Tuncay Ercan
Emerging Science Journal Vol 4 (2020): Special Issue "IoT, IoV, and Blockchain" (2020-2021)
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/esj-2021-SP1-010

Abstract

The research aims to test the model of integrated DOI theory and TOE framework to predict Cloud Computing (CC) decision-making intentions of SMEs, Izmir, Turkey. The survey data was collected from 140 Information Technology (IT) decision-makers via Google forms survey tool. Confirmatory factor analyses were made to examine the decision-making approach of SMEs. The study revealed that the variance of top management support and complexity explained 29.8% of the decision-making approach to CC adoption. The originality of the study is that the research on cloud computing in Turkey is scarce and not comprehensive either. In addition, they are not for Turkish SMEs. This research will bring together an introductory plan for cloud providers to understand the intentions of SMEs for adopting cloud computing. This research will also provide scholars with an in-depth analysis of the status contributing to the academic research in the field of ICT development in developing countries. This study will contribute to SMEs’ ICT infrastructure policies, and support governments in creating a legal framework to make laws for a secure environment for SMEs to reduce costs, and gain a competitive advantage over Large Enterprises (LEs). Doi: 10.28991/esj-2021-SP1-010 Full Text: PDF
Study on the Impacts of Emergency on Economic, Environmental and Social Areas Using Mixed Methods Research Jan Fuka; Robert Baťa; Kateřina Josková; Jiří Křupka
Emerging Science Journal Vol 6, No 1 (2022): February
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2022-06-01-07

Abstract

Mixed methods research methodology appears to be a suitable approach for researching complex phenomena such as emergencies. Researchers study the impacts on different areas such as economy, society, or environment, mostly in separate studies. To better understand the reality of emergencies, it is necessary to study the problem in the broadest possible context. So, examining those impacts in one single study is a challenge. The objective of this article is to process a comprehensive assessment of an emergency that has the potential to establish the basis of a robust tool for public managers to support their decision-making, using mixed methods research methodology. The crisis is an explosion of an ammunition storage site in the Czech Republic - the former satellite country of the Soviet Union. The sub-methods used in mixed methods research are analysis of data, interviews, questionnaire surveys, and field research. The main findings include that in the economic area, growth of public budget expenditures was found; in the environmental area, primary and inducted impacts have been proved. Survey also confirms that the emergency reduced the personal sense of security and trust in public institutions in the affected community. Doi: 10.28991/ESJ-2022-06-01-07 Full Text: PDF
Modernizing Batik Clothes for Community Enterprises Using Creative Design and Colorimetry Suvita Kaewareelap; Yaowarat Sirisathitkul; Chitnarong Sirisathitkul
Emerging Science Journal Vol 5, No 6 (2021): December
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/esj-2021-01319

Abstract

The objective of this study was to modernize batik clothes, a cultural heritage of Southeast Asia, through creative design, color characterization, and collection presentation. Three community enterprises from the southern regions of Thailand participated in designing batik motifs based on their local identities. The pattern of the first manufacturer group was influenced by stones and ancient beads of vivid orange and blue shades. The second community was inspired by the nearby sea, resulting in ocean blue, white, and emerald green colors on batik fabrics. Floras in the south of Thailand dominated the design of the final manufacturer group. Smartphone colorimetry was then used to characterize the batik fabrics. It was demonstrated that this proposed color quantification was not confined to the laboratory, and could easily be carried out by vendors or customers. The collaboration encouraged local batik artisans to use a variety of inspirations, new tools, as well as professional design and production methods. To introduce modernized batik to the public, collections of these newly designed clothes were displayed in a fashion show staged under the theme “Southern Chic.” The presentation of Thai batik clothes in seasonal collections highlighted the transformations of local manufacturers and products with increasing appeal to younger people. In addition to conservation and commercial advantages, the modernized approach is accessible and attractive for education purposes, engaging students in cultural heritage. Doi: 10.28991/esj-2021-01319 Full Text: PDF
Unsupervised Anomaly Detection for Energy Consumption in Time Series using Clustering Approach Jesmeen M. Z. H.; J. Hossen; Azlan Bin Abd. Aziz
Emerging Science Journal Vol 5, No 6 (2021): December
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/esj-2021-01314

Abstract

Recent years have seen significant growth in the adoption of smart home devices. It involves a Smart Home System for better visualisation and analysis with time series. However, there are a few challenges faced by the system developers, such as data quality or data anomaly issues. These anomalies can be due to technical or non-technical faults. It is essential to detect the non-technical fault as it might incur economic cost. In this study, the main objective is to overcome the challenge of training learning models in the case of an unlabelled dataset. Another important consideration is to train the model to be able to discriminate abnormal consumption from seasonal-based consumption. This paper proposes a system using unsupervised learning for Time-Series data in the smart home environment. Initially, the model collected data from the real-time scenario. Following seasonal-based features are generated from the time-domain, followed by feature reduction technique PCA to 2-dimension data. This data then passed through four known unsupervised learning models and was evaluated using the Excess Mass and Mass-Volume method. The results concluded that LOF tends to outperform in the case of detecting anomalies in electricity consumption. The proposed model was further evaluated by benchmark anomaly dataset, and it was also proved that the system could work with the different fields containing time-series data. The model will cluster data into anomalies and not. The developed anomaly detector will detect all anomalies as soon as possible, triggering real alarms in real-time for time-series data's energy consumption. It has the capability to adapt to changing values automatically. Doi: 10.28991/esj-2021-01314 Full Text: PDF

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