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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 25 Documents
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Search results for , issue "Vol 7, No 2 (2023): April" : 25 Documents clear
Factors Affecting Business Angels Investment in Vietnam Nguyen Thi Kim Anh; Vu Thanh Huong; Nguyen Thi Minh Phuong; Dang Thanh Dat
Emerging Science Journal Vol 7, No 2 (2023): April
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2023-07-02-07

Abstract

The paper aims at investigating and comparing the factors determining investment decisions by business angels (BAs) from the viewpoints of BAs and startups in Vietnam based on a framework synthesized from a literature review and primary data from in-depth interviews conducted with 8 startups and 15 angel investors. The results show that the startups’ founder, working team, financial issues, product and market, and strategy related to exit and the roles of BAs are startup-related factors determining BAs’ investment in Vietnam. For BA-related factors, the BAs’ experience, investment objectives and preferences, and culture are key determinants. The novelty of the paper is to find out the gaps between the perspectives of BAs and startups, and the difference between Vietnamese and foreign BAs’ viewpoints. The finding is that BAs, more strictly than startups, assess their business plan, financial state, product, market, and targeted consumers. Startups neglect the exit strategy and role of BAs in invested startups. In addition, foreign and domestic BAs have different opinions on startups’ market scale, and expectation of profits and BAs’ roles in startups. The paper ends by providing some implications for Vietnamese startups to attract more angel investment, focusing on improving the quality of human resources, developing a profitable, honest, and realistic business plan, and setting up a long-run vision towards the global market. Doi: 10.28991/ESJ-2023-07-02-07 Full Text: PDF
Reaction of Carbon Dioxide Gas Absorption with Suspension of Calcium Hydroxide in Slurry Reactor Zahrul Mufrodi; L. M. Shitophyta; Hary Sulistyo; . Rochmadi; Muhammad Aziz
Emerging Science Journal Vol 7, No 2 (2023): April
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2023-07-02-02

Abstract

Chemical phenomena involving three phases (solid, liquid, and gas) are often found in the industry. Carbonate (CaCO3) is widely used in industries as a powder-making material in the cosmetic industry, a pigment in the paint industry, and filler in the paper and rubber industry. This research aim to study the ordering process carbonate deposits (CaCO3) from the absorption process of CO2 gas with Ca(OH)2 suspension. The absorption reaction of CO2 gas with Ca(OH)2 suspension was carried out in a stirred slurry tank reactor. Initially, the reactor containing water was heated to a certain temperature, then Ca(OH)2 was added to the reactor. Furthermore, CO2 gas with a certain flow rate and temperature (according to the reactor temperature) is flown with the help of a gas distributor. Samples were taken every 1 min until the concentration of Ca(OH)2 could not be detected (completely reacted). The variables in this study were: stirrer rotation speed (5.66711.067 rps), CO2 gas flow rate (34.0127–60.5503 c/s), and temperature (30–50°C). The mass transfer coefficient and the reaction rate coefficient were determined by minimizing Sum of Squares of Errors (SSE). This experimental process follows a dynamic regime. A dimensionless number relationship for the gas-liquid mass transfer for the value range is Re1 = 18928.76-38217.20, Sh = 0.07928 Reg0.4383 Rel0.4399 Sc0.6415 with an error of 5.19%. The dimensionless number relationship for solid-liquid mass transfer is Sh = 0.0001179 Reg0.4674 Rel0.5403 Sc1.444 with an error of 7.31%. The relationship between the reaction rate constant and the temperature in the 30-50 °C range can be approximated by the Arrhenius equation, namely kr = 1771000 e-2321.4/T cm3/mgmol/s with an error of 3.63%. Doi: 10.28991/ESJ-2023-07-02-02 Full Text: PDF
Smart Farm-Care using a Deep Learning Model on Mobile Phones Mercelin Francis; Kalaiarasi Sonai Muthu Anbananthen; Deisy Chelliah; Subarmaniam Kannan; Sridevi Subbiah; Jayakumar Krishnan
Emerging Science Journal Vol 7, No 2 (2023): April
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2023-07-02-013

Abstract

Deep learning and its models have provided exciting solutions in various image processing applications like image segmentation, classification, labeling, etc., which paved the way to apply these models in agriculture to identify diseases in agricultural plants. The most visible symptoms of the disease initially appear on the leaves. To identify diseases found in leaf images, an accurate classification system with less size and complexity is developed using smartphones. A labeled dataset consisting of 3171 apple leaf images belonging to 4 different classes of diseases, including the healthy ones, is used for classification. In this work, four variants of MobileNet models - pre-trained on the ImageNet database, are retrained to diagnose diseases. The model’s variants differ based on their depth and resolution multiplier. The results show that the proposed model with 0.5 depth and 224 resolution performs well - achieving an accuracy of 99.6%. Later, the K-means algorithm is used to extract additional features, which helps improve the accuracy to 99.7% and also measures the number of pixels forming diseased spots, which helps in severity prediction. Doi: 10.28991/ESJ-2023-07-02-013 Full Text: PDF
How Does Environmental Data from ESG Concept Affect Stock Returns: Case of the European Union and US Capital Markets Giedrė Lapinskienė; Dainora Gedvilaitė; Aušra Liučvaitienė; Kęstutis Peleckis
Emerging Science Journal Vol 7, No 2 (2023): April
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2023-07-02-08

Abstract

This article examines the environmental, social, and governance (ESG) performance of firms, with a focus on the environmental pillar of the ESG concept. It is believed that the price of equities as well as sector-specific characteristics may be affected by ESG data. It also contributes to the argument that environmental performance and governance quality are related. The purpose of this paper is to statistically validate the separated environmental data from the ESG concept and investigate its impact on the equity price in the EU and the United States. Using simple linear regressions and a fixed effect panel data model, the association between environmental score and governance score, as well as equity price and environmental score, was estimated. This study examines the 500 largest US corporations comprising the S&P 500 index (S&P) and the 600 largest EU companies comprising the STOXX Europe 600 index (STOXX) (SXXP). This article analyzes ESG statistics for the period 2015–2020. The results indicate that a higher government score has a favorable effect on environmental pledges and that changes in stock price depend in part on environmental data. The novel contribution of this paper is that the results suggest a sector-specific contribution to the model, and it would be fascinating to analyze sector disparities and their ESG-related policies in greater detail. Doi: 10.28991/ESJ-2023-07-02-08 Full Text: PDF
Batch and Streaming Data Ingestion towards Creating Holistic Health Records Argyro Mavrogiorgou; Athanasios Kiourtis; George Manias; Chrysostomos Symvoulidis; Dimosthenis Kyriazis
Emerging Science Journal Vol 7, No 2 (2023): April
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2023-07-02-03

Abstract

The healthcare sector has been moving toward Electronic Health Record (EHR) systems that produce enormous amounts of healthcare data due to the increased emphasis on getting the appropriate information to the right person, wherever they are, at any time. This highlights the need for a holistic approach to ingest, exploit, and manage these huge amounts of data for achieving better health management and promotion in general. This manuscript proposes such an approach, providing a mechanism allowing all health ecosystem entities to obtain actionable knowledge from heterogeneous data in a multimodal way. The mechanism includes diverse techniques for automatically ingesting healthcare-related information from heterogeneous sources that produce batch/streaming data, managing, fusing, and aggregating this data into new data structures (i.e., Holistic Health Records (HHRs)). The latter enable the aggregation of data coming from different sources, such as Internet of Medical Things (IoMT) devices, online/offline platforms, while to effectively construct the HHRs, the mechanism develops various data management techniques covering the overall data path, from data acquisition and cleaning to data integration, modelling, and interpretation. The mechanism has been evaluated upon different healthcare scenarios, ranging from hospital-retrieved data to patient platforms, combined with data obtained from IoMT devices, having produced useful insights towards its successful and wide adaptation in this domain. In order to implement a paradigm shift from heterogeneous and independent data sources, limited data exploitation, and health records, the mechanism has combined multidisciplinary technologies toward HHRs. Doi: 10.28991/ESJ-2023-07-02-03 Full Text: PDF
Fusion Landsat-8 Thermal TIRS and OLI Datasets for Superior Monitoring and Change Detection using Remote Sensing Hayder Dibs; Alaa Hussein Ali; Nadhir Al-Ansari; Salwan Ali Abed
Emerging Science Journal Vol 7, No 2 (2023): April
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2023-07-02-09

Abstract

Currently, updating the change detection (CD) of land use/land cover (LU/LC) geospatial information with high accuracy outcomes is important and very confusing with the different classification methods, datasets, satellite images, and ancillary dataset types available. However, using just the low spatial resolution visible bands of the remotely sensed images will not provide good information with high accuracy. Remotely sensed thermal data contains very valuable information to monitor and investigate the CD of the LU/LC. So, it needs to involve the thermal datasets for better outcomes. Fusion plays a big role to map the CD. Therefore, this study aims to find out a refining method for estimating the accurate CD method of the LU/LC patterns by investigating the integration of the effectiveness of the thermal satellite data with visible datasets by (a) adopting a noise removal model, (b) satellite images resampling, (c) image fusion, combining and integrating between the visible and thermal images using the Grim Schmidt spectral (GS) method, (d) applying image classification using Mahalanobis distances (MH), Maximum likelihood (ML) and artificial neural network (ANN) classifiers on datasets captured from the Landsat-8 TIRS and OLI satellite system, these images were captured from operational land imager (OLI) and the thermal infrared (TIRS) sensors of 2015 and 2020 to generate about of twelve LC maps. (e) The comparison was made among all the twelve classifiers' results. The results reveal that adopting the ANN technique on the integrated images of the combined TIRS and OLI datasets has the highest accuracy compared to the rest of the applied image classification approaches. The obtained overall accuracy was 96.31% and 98.40%, and the kappa coefficients were (0.94) and (0.97) for the years 2015 and 2020, respectively. However, the ML classifier obtains better results compared to the MH approach. The image fusion and integration of the thermal images improve the accuracy results by 5%–6% from the proposed method better than using low spatial-resolution visible datasets alone. Doi: 10.28991/ESJ-2023-07-02-09 Full Text: PDF
The Impact of Ukrainian Crisis on the Connectedness of Stock Index in Asian Economies Ammar Jreisat; Somar Al-Mohamad; Audil Rashid Khaki; Walid Bakry
Emerging Science Journal Vol 7, No 2 (2023): April
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2023-07-02-04

Abstract

The main aim of this study is to measure the dynamic connectedness and spillover effects among emerging stock markets in Asia and the developed stock markets of the US and Europe in the ongoing Ukrainian crisis. The paper also aims to provide a comparative analysis of return and volatility spillovers during the global financial crisis in 2008, the COVID-19 pandemic, and the Ukrainian crisis. This paper utilizes the multiple structural beak test of Bai & Perron (2003) and also depicts the risk and return transmissions among these markets using the Diebold & Yilmaz (2012) method. The main outcomes of this study indicate that the stock markets in Asia are less affected by the political crisis in Ukraine as compared to the previous effects during the GFC and COVID-19 periods. The results also show that sensitivity of Asian financial markets to global shocks has been weakened in the wake of the Ukrainian crisis in favour of increased resilience of Asian stock indices to external shocks. These results carry an important implication for international and local investors as well as for policy makers in Asia, where investors have greater potentials for portfolio diversify and risk reduction across Asian markets. Doi: 10.28991/ESJ-2023-07-02-04 Full Text: PDF
The Development of a National Sport Event Management Model that Affects the Value Added of the Sport Industry in Thailand Patantiya Singcram; Thanarit Thanaiudompat
Emerging Science Journal Vol 7, No 2 (2023): April
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2023-07-02-010

Abstract

The objective of this study was to construct a model of the link between sports resources and the model of national sports event management and the added value of Thailand's sports sector. Mixed methods were implemented in this study. The causative and result link between sports resource variables and national sporting practices and the added value of the Thai sports sector were examined using quantitative research. Using questionnaires and qualitative phenomenological research, data were obtained from 207 sports competition management organizations registered with the Department of Business Development in 2020. Based on in-depth interviews, a group discussion with the Council of Industry Committees was implemented to corroborate the results of the in-depth interviews. The sports industry group comprised of three individuals and two academics in sports business management who conducted a corroborative elemental analysis on the data. And structural equation models. The hypothesis research found that 1) sports resources had a direct effect on the value added of the sports industry and an indirect effect on the value added of the sports industry through the national sports competition management; 2) the sports resources had a direct effect on the national sports competition management; and 3) the national sports competition management had a direct effect on the added value of the sports industry in Thailand. The analysis revealed that the hypothetical model was consistent with the statistical data. It appeared to be qualified with χ2 = 47.85, p-value = 0.08, χ2/df = 1.55, GFI = 0.96, AGFI = 0.98, and RMSEA = 0.01. The contribution of this research is that it can explain the relationship between the causes and outcomes of sports resources and guidelines for organizing national sports events and the added value of the sports industry in Thailand. The results of the study can be used in the management of sports competition management businesses, which leads to sustainable performance for the sports industry. Doi: 10.28991/ESJ-2023-07-02-010 Full Text: PDF
Impression Management and Employee Contextual Performance in Service Organizations (Enterprises) Friday Ogbu Edeh; Nurul Mohammad Zayed; Saad Darwish; Vitalii Nitsenko; Iryna Hanechko; K. M. Anwarul Islam
Emerging Science Journal Vol 7, No 2 (2023): April
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2023-07-02-05

Abstract

This study aims to investigate the effect of impression management on employee contextual performance in service organizations using quantitative methods. The social influence theory, which explains the role of superior influence over the subordinate, served as the theoretical underpinning for the study. A cross-sectional survey design was adopted in line with positivism research philosophy. The accessible population of this study consists of one hundred selected service-oriented firms (four-star hotels, fast food restaurants, and travel agencies) operating in the southern part of Nigeria. The sample consists of middle managers, human resource managers, front desk officers, housekeepers, and customer relationship managers. Frequency distribution was used to analyze participants’ profiles, while linear regression was employed to analyze the formulated hypotheses. Statistical Package for the Social Sciences (SPSS) 20.0 served as statistical software. Linear regression results suggest that self-promotion exerted a significant positive effect on co-worker support. Ingratiation demonstrated a significant positive effect on customer satisfaction. It appears that exemplification exerted a significant positive effect on enterprise compliance. The outcome of this study has demonstrated that traditional managerial skills can no longer hold water in contemporary service-oriented organizations because of the workplace's dynamic and changing technological structure. This study concludes that impression management can assist managers in influencing their employees positively to achieve organizational objectives. Doi: 10.28991/ESJ-2023-07-02-05 Full Text: PDF
Application and Data Integration Based on Services Oriented Architecture in Enterprise Nilo Legowo; Atur Sumedi
Emerging Science Journal Vol 7, No 2 (2023): April
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2023-07-02-011

Abstract

Business process changes occurred very often in organizations to maintain business continuity, which had an impact on information changes and process flow improvements. There are numerous companies that have problems managing data, information, and software applications, especially with the constant demands for employee information. This research objective is to integrate data and applications based on service-oriented architecture (SOA) by using the service-oriented modelling architecture (SOMA) software development method to solve the problem of producing updated and real-time information practically required by organization functions. This research result shows this implementation can help analyze the company's business model by generating information needs and service candidates that refer to SOA concepts. This implementation also gives a solid integration of in-house applications with different platforms and data sources from different databases with real time information. From a technical point of view, this implementation also reduces the duplication of business process functions and in-house application management, as well as simplifying and accelerating the creation of new or updating in-house applications related to new information requirements of the company. It was found that the SOMA framework can also be employed as a reference for companies developing future applications with SOA basics. Doi: 10.28991/ESJ-2023-07-02-011 Full Text: PDF

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