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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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Data Driven Models for Contact Tracing Prediction: A Systematic Review of COVID-19 Saravanan Muthaiyah; Thein Oak Kyaw Zaw; Kalaiarasi Sonai Muthu Anbananthen; Byeonghwa Park; Myung Joon Kim
Emerging Science Journal Vol 7 (2023): Special Issue "COVID-19: Emerging Research"
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2023-SPER-02

Abstract

The primary objective of this research is to identify commonly used data-driven decision-making techniques for contact tracing with regards to Covid-19. The virus spread quickly at an alarming level that caused the global health community to rely on multiple methods for tracking the transmission and spread of the disease through systematic contact tracing. Predictive analytics and data-driven decision-making were critical in determining its prevalence and incidence. Articles were accessed from primarily four sources, i.e., Web of Science, Scopus, Emerald, and the Institute of Electrical and Electronics Engineers (IEEE). Retrieved articles were then analyzed in a stepwise manner by applying Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISM) that guided the authors on eligibility for inclusion. PRISM results were then evaluated and summarized for a total of 845 articles, but only 38 of them were selected as eligible. Logistic regression and SIR models ranked first (11.36%) for supervised learning. 90% of the articles indicated supervised learning methods that were useful for prediction. The most common specialty in healthcare specialties was infectious illness (36%). This was followed closely by epidemiology (35%). Tools such as Python and SPSS (Statistical Package for Social Sciences) were also popular, resulting in 25% and 16.67%, respectively. Doi: 10.28991/ESJ-2023-SPER-02 Full Text: PDF
Continuous Capsule Network Method for Improving Electroencephalogram-Based Emotion Recognition I Made Agus Wirawan; Retantyo Wardoyo; Danang Lelono; Sri Kusrohmaniah
Emerging Science Journal Vol 7, No 1 (2023): February
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2023-07-01-09

Abstract

The convolution process in the Capsule Network method can result in a loss of spatial data from the Electroencephalogram signal, despite its ability to characterize spatial information from Electroencephalogram signals. Therefore, this study applied the Continuous Capsule Network method to overcome problems associated with emotion recognition based on Electroencephalogram signals using the optimal architecture of the (1) 1st, 2nd, 3rd, and 4th Continuous Convolution layers with values of 64, 128, 256, and 64, respectively, and (2) kernel sizes of 2×2×4, 2×2×64, and 2×2×128 for the 1st, 2nd, and 3rd Continuous Convolution layers, and 1×1×256 for the 4th. Several methods were also used to support the Continuous Capsule Network process, such as the Differential Entropy and 3D Cube methods for the feature extraction and representation processes. These methods were chosen based on their ability to characterize spatial and low-frequency information from Electroencephalogram signals. By testing the DEAP dataset, these proposed methods achieved accuracies of 91.35, 93.67, and 92.82% for the four categories of emotions, two categories of arousal, and valence, respectively. Furthermore, on the DREAMER dataset, these proposed methods achieved accuracies of 94.23, 96.66, and 96.05% for the four categories of emotions, the two categories of arousal, and valence, respectively. Finally, on the AMIGOS dataset, these proposed methods achieved accuracies of 96.20, 97.96, and 97.32% for the four categories of emotions, the two categories of arousal, and valence, respectively. Doi: 10.28991/ESJ-2023-07-01-09 Full Text: PDF
Exploiting Idioms and Proverbs of Vietnamese Regions in Teaching Mathematics in Primary Schools Cong-Kien Hoang; Dieu-Thuy Thi Pham; Tung Do; Tinh Thi Pham; Minh-Nguyet Thi Nguyen; Quoc-Chung Vu; Duy-Cuong Le; Thuy-Chung Nguyen
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-015

Abstract

Mathematics and idioms, as well as proverbs, all reflect the laws of life. At the same time, primary school children may have heard idioms and proverbs before attending school. Therefore, there are many possibilities to exploit and apply idioms and proverbs in teaching mathematics in primary schools. This study aims to identify appropriate situations and apply idioms and proverbs in different regions of Vietnam to teaching mathematics. The researchers selected 1155 expressions related to mathematics from many typical pieces of research on idioms and proverbs in Vietnam. After surveying 1822 teachers three times in many provinces and cities in all 3 regions of Vietnam: the North, the Central and the South, the researchers have classified the data according to the criteria from closed to open-ended questions. The results show a prominent level of interest (level 4/5) of all teachers participating in the survey, and there is no difference in the effectiveness in the three regions, but there is a clear difference in regions in using idioms and proverbs. Particularly, identifying situations to teach geometric and quantitative knowledge, as well as probability and statistics, allows one to apply idioms and proverbs at a high level. It is concluded that if idioms and proverbs from Vietnamese regions are appropriately selected and applied in teaching mathematics in primary schools, they will contribute to improving students' mathematical ability and preserving the national cultural heritage. Doi: 10.28991/ESJ-2022-SIED-015 Full Text: PDF
How does Spiritual Leadership Influences Employee Well-Being? Findings from PLS-SEM and FsQCA Chwen-Li Chang; Ivon Arisanti
Emerging Science Journal Vol 6, No 6 (2022): December
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2022-06-06-09

Abstract

This study aims to examine the relationship between spiritual leadership, affective commitment, work engagement, and employee well-being. In this test, the hypotheses of 356 public sector employees through Partial Least Squares-Structural Equation Modeling (PLS-SEM) and fuzzy set Qualitative Comparative Analysis (fsQCA). PLS-SEM results show that spiritual leadership affects affective commitment, work engagement, and employee well-being and shows that affective commitment and work engagement have different effects because of parallel mediation with spiritual leadership in improving employee well-being. The results of the FsQCA provide theoretical insights and practical recommendations on how to improve understanding of spiritual leadership, affective commitment, work engagement, and employee well-being. This research has implications for policymakers, especially in the public sector, to support and develop spiritual practices that can help employees improve employee well-being through affective commitment and work engagement. In addition, this research can help organizations improve the performance of individuals in organizations, especially public organizations, to make positive contributions to society at large. Doi: 10.28991/ESJ-2022-06-06-09 Full Text: PDF
Assessment of the Concentration and Structure of the Bioeconomy: The Regional Approach Aina Muska; Dina Popluga; Irina Pilvere
Emerging Science Journal Vol 7, No 1 (2023): February
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2023-07-01-05

Abstract

The bioeconomy is seen as crucial for achieving a climate-neutral Europe by 2050; therefore, it is important to monitor and illustrate the performance and trends of the bioeconomy development not only at state level but also in regions. The research aims to develop a methodology for the identification of bioeconomy concentration and the structure of bioeconomy enterprises at a regional level. The methodology of the research is based on four main steps: (1) defining the framework of bioeconomy enterprises; (2) setting data sources and research limitations; (3) estimating the bio-based share of bioeconomy industries; (4) estimating a location quotient which provide data serving to assess the level of concentration of the factor analysed. The research is based on the analysis of 119 municipalities and 30 387 bioeconomy enterprises by using a location quotient. The research results revealed that the municipalities could be classified into three groups according to the concentration of the bioeconomy. Such a classification of municipalities allowed us to identify the strengths and weaknesses of each municipality in the field of bioeconomy and potential development possibilities. The novelty of the research provides a methodological background for municipal-level monitoring of the bioeconomy and suggestions for improving the uneven development of the bioeconomy. Doi: 10.28991/ESJ-2023-07-01-05 Full Text: PDF
A Brief Review on Mathematical Tools Applicable to Quantum Computing for Modelling and Optimization Problems in Engineering Yousra Mahmoudi; Nadjet Zioui; Hacène Belbachir; Mohamed Tadjine; Abdelmounaam Rezgui
Emerging Science Journal Vol 7, No 1 (2023): February
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2023-07-01-020

Abstract

Since its emergence, quantum computing has enabled a wide spectrum of new possibilities and advantages, including its efficiency in accelerating computational processes exponentially. This has directed much research towards completely novel ways of solving a wide variety of engineering problems, especially through describing quantum versions of many mathematical tools such as Fourier and Laplace transforms, differential equations, systems of linear equations, and optimization techniques, among others. Exploration and development in this direction will revolutionize the world of engineering. In this manuscript, we review the state of the art of these emerging techniques from the perspective of quantum computer development and performance optimization, with a focus on the most common mathematical tools that support engineering applications. This review focuses on the application of these mathematical tools to quantum computer development and performance improvement/optimization. It also identifies the challenges and limitations related to the exploitation of quantum computing and outlines the main opportunities for future contributions. This review aims at offering a valuable reference for researchers in fields of engineering that are likely to turn to quantum computing for solutions. Doi: 10.28991/ESJ-2023-07-01-020 Full Text: PDF
The Effect of Digitalization on the Quality of Service and Customer Loyalty Lulzim Shabani; Arbëresha Behluli; Fidan Qerimi; Fellanze Pula; Pranvera Dalloshi
Emerging Science Journal Vol 6, No 6 (2022): December
Publisher : Ital Publication

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

Abstract

This research aims to measure the effect of digitalization on service quality through the SERVQUAL model (tangibility, reliability, responsiveness, assurance, and empathy) and customer loyalty. Also, we analyze the relationship between customer loyalty and their demographics. A quantitative method was used to achieve the objectives through a structured questionnaire, where part of the research sample was 400 clients of Kosovo banks. Results show that digitalization positively affects service quality and customer loyalty based on the OLS model. According to the T-test, there was no significant difference in customer loyalty between the genders. There has been a significant difference in loyalty between clients’ ages following the one-way ANOVA test. According to the Kruskal Wallis test, it also resulted in a significant difference between levels of education. This study will provide banks with feedback on the importance of digitalization and its correlation with their customers’ quality of service and loyalty. In this form, they decide to make even greater investments in digitalization by satisfying customer demands and creating loyal customers. Doi: 10.28991/ESJ-2022-06-06-04 Full Text: PDF
Internet of Things (IoT) Utilization to Improve Performance and Productivity of Internal Supply Chain Dadang Hermawan; I Made Darsana; Yana Ernawan
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-SP1-017

Abstract

The inevitable transformations brought about by the rapidly changing Internet of Things (IoT) impact all aspects of life today, including management and businesses. Specifically, areas of businesses depending mainly on internal supply chain capacity are experiencing a paradigm shift to ensure effective company performance regarding purchases, production, company sales, and product distribution. This shift means that challenges faced by the internal chain supply unit can be solved by adopting and adapting IoT as a new way to minimize work delays and save time. Moreover, IoT automatically leads to performance and productivity increases. Therefore, the present paper aims to justify adopting and adapting IoT applications in Indonesian companies, including retail businesses. Most companies’ internal supply chain units face several difficulties during and after the devastating peak of COVID-19, which has led to a total global lockdown. These problems' complexity is exponential and requires innovative ways to solve their prevailing challenges. This study used observation, interview, and documentary research methods through a large-scale survey. The survey obtained the necessary information regarding how companies utilize IoT to improve their performance and productivity without hindering their internal supply chain and production units. The study concluded that the adoption of IoT, if well implemented, leads to a sustainable company and uninterrupted supply chain performance, indicating the proper performance of the organization. Doi: 10.28991/esj-2021-SP1-017 Full Text: PDF
Development and Implications of Controlling in the Public Sector Margarita L. Vasyunina; Mikhail E. Kosov; Nataliya S. Shmigol; Inna V. Lipatova; Eli A. Isaev; Irina S. Medina; Natalya A. Guz
Emerging Science Journal Vol 7, No 1 (2023): February
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2023-07-01-015

Abstract

Controlling is essential for public organizations to deliver optimal performance. However, the existing literature lacks sufficient knowledge to help organizations implement better strategies to enhance control. Therefore, this study examined the concept of control in the public sector, its impact on organizational efficiency, and a key focus on implementation. This study adopted a mixed approach (qualitative and quantitative) to study control in the public sector. The literature review was used to gather qualitative data, and a survey was conducted among the managers working in Russian public organizations to determine their responses to controlling practices. The results were compared and analyzed to provide implications and recommendations. It was noted through the results that control in public organizations depends on various factors like controlling approaches and tools, organizational culture, the autonomy of management, and functional control of organizations. Each of these aspects contributes positively toward control and improves public organizations’ efficiency. Therefore, these aspects should be the core focus of public organizations to ensure greater control and efficiency. This research targeted this area to bridge the gap and determine the concept of controlling the Russian public sector. However, this research also has a limitation in that it has surveyed only 102 managers from different Russian public organizations. Doi: 10.28991/ESJ-2023-07-01-015 Full Text: PDF
Digital Competencies Development in Higher Education Institutions: A Mixed Methods Research Study Miroslava Tokovska; Tímea Šeben Zaťková; Ľubica Jamborová
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-011

Abstract

Objective: Learning to teach at the higher education level is not a straightforward path in Slovakia, and there are fewer opportunities to learn how to teach at this level. The paper summarizes selected findings and proposals for improvements related to the implementation of measures in selected areas of higher education institutions (HEI). The aim of the paper was to explore digital competency development in higher education institutions and factors with regard to university lecturers that affect the quality of the educational process in the context of the overall quality of graduates and labor market requirements. In addition, our study aims to fill an information gap and provide original data useful in the process of digital competency development in higher education. Methods/Analysis: The study employed an exploratory mixed-methods design. The data for this study is based on a survey with 24 open and closed questions and an analysis of 46 final thesis studies. Findings: Both the qualitative statements of the university lecturers and the survey shed light on the following: (1) (Re)creation of motivational factors; (2) Potential development of digital competencies; and (3) Supporting innovation in higher education. The results led to consideration of the educational process quality at the level of the subject and the object of education. Novelty/Improvement: The results point to the importance of investment in technology. This is related to improved educational outcomes and sustainable innovation in higher education. Slovak national education policymakers should provide innovative ways to increase the development of digital competencies in higher education institutions through the Recovery Plan for Europe; providing investment in technology related to improved educational outcomes and the development of sustainable innovation in higher education will all help to raise the standard. Doi: 10.28991/ESJ-2022-SIED-011 Full Text: PDF

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