bluuebunny/crossref_metadata_2025 huggingface dataset:
Selection of Malay Language Reading Material Based on Readability Factors
Authors: Et.al Dahlia Janan
Published: April 2021

In this paper the author discuss the methods that can applied to select reading material that is appropriate to the reading ability of students. The old assumption that books or materials that written for a certain level is appropriate for all students in that particular level, needs to be changed. This is because students who isin a certain level have different reading abilities. Therefore, this paper will introduce the understanding of readability factors as one way of selecting appropriate reading material for students. The level of readability for reading materialsare influenced by a variety of factors, including the reader, environment and reading material. This article focuses on reading material factors such as clear font size and style, illustration and colour, vocabulary and sentence structure. Further, this article will present text difficulty analysis through the analysis of vocabularies. This paper conclude that vocabulary factor should not be overlooked and teachers must understand this because reading materials can be difficult when vocabulary that appear in the reading material does not fit to the level of the reader.
Contraceptive Use: Patterns and Preferences among New Acceptors in Malaysia, 1990 to 2018
Authors: Et.al Nor AzahSamat
Published: April 2021

Family planning is one of the important aspects in the Sustainable Development Goals (SDG's) in Goal 3 on Health and Goal 5 on Gender Equality and Women’s Empowerment. Family planning is the basic need and women’s right to pregnancy, to get optimal health. The use of contraceptive enables women to attain their desired number of children and determine the gap of pregnancies towards the improvement of the families’ well-being of. The aim of this paperisto describe the patterns and preferences of contraceptive use among new acceptors attending a family planning clinic at National Population and Family Development Board (NPFDB) in sixteenstates in Malaysia. The data analysis includes the new acceptors of contraception use among married women aged 15 to 49 years old, who attended a family planning clinic at NPFDB for the year 1990 to 2018. There are various types of contraceptive methods considered: contraceptive pills, Intrauterine Contraceptive Device (IUD), condom, hormone injection, implant, sterilization, rhythm and others. Results of the analysis show that contraceptive pills and sterilization have continued to be the most preferred contraceptive methods among new acceptors at NPFDB clinic, with decreasing pattern from 1990 to 2018.While the use of implant, hormone injection and condom has increased steadily since 2004. The state of Perak has the highest number of new acceptors in most years, whilethe federal territory of Labuan has the lowest number of acceptors in most years within 29 years from 1990 to 2018. In addition, the most popular contraceptive method among women for all states in Malaysia in most years from 1990 to 2018 is contraceptive pills, which is preferred in ten states: Kelantan (83%), Kuala Lumpur (72%), Labuan (40%), Negeri Sembilan (86%), Pahang (66%), Perlis (45%), Pulau Pinang (35%), Sabah (60%), Selangor (69%), and Terengganu (76%). While sterilization is the most popular in four states: Johor (62%), Kedah (59%), Melaka (52%), and Perak (66%). Finally, hormone injection is the most popular method in Putrajaya (100%), and condom is the most popular in Sarawak (40%).As a conclusion, this study has found that although the use of contraceptive pillsisdecreasing, it still becomes the most popular among new acceptors in most of the states in Malaysia since 1990. However, the decreasing pattern of new acceptors for all types of contraceptive methods becomes our concern. Future research should therefore,concentrate on the investigation of the reduction number of new acceptors at NPFDB clinic. This is important to make sure the demands of contraceptive can be met and NPFDB clinics couldprovide better services towards better quality of life and better families’ well-being.
Financial Risk of Conventional and Islamic Banks: Does Institutional Quality Matter?
Authors: Et.al Normaizatul Akma Saidi
Published: April 2021

Banks play a significant role in financing the economy and take on risky financial activities based on information and trust as they specialized companies with their own specificities. This study was propelled to unravel the determinants that affect financial risk (liquidity risk and credit risk) for conventional and Islamic banks. The bank-level data of conventional and Islamic banks in the regions of Middle East, Southeast Asia, and South Asia between 2006 and 2014 were collected from the Bankscope, which is a commercial database produced by the Bureau van Dijk. Thus, for conventional banks the obtained results exhibited significantly positive relationship between regulatory quality towards liquidity risk. Then, the relationship between regulatory quality towards credit risk was negatively significant for conventional banks. Meanwhile, as for Islamic banks, the relationship between government effectiveness and regulatory quality towards financial risk was insignificant. Hence, the regulators or policymakers are able to identify specific mechanism to improve the risk management of these banks as well through this study.
Investment Diversificationand Islamic Risk Management in the Malaysian Stock Market
Authors: Et.al Nurhanani Romli
Published: April 2021

Risk investment was a matter that should be well managedby each investor since each unit  of stock has their own risk. This study will explained in detail related risks of investing in portfolio either Shariah stock or conventional stock. Besidesthat,  further discussion on the risk of investment from the perspective of Islamic economics will be include together since any shariah stock have to obey with Islamic principle before it can be considered as a Shariahcompliant stock. Capital Asset Pricing Model (CAPM) will be used to measure the level of risk starting from the year 2007 when  subprimecrisisjust done until year of 2010. Results of the study show that the volatility of stock market in Malaysia can be considered as a high volatility and its means as a high risk. The findings of study also found that Islamic economic has recognizes the existence of investmentrisk. One of methods that are used in the management of risk was  diversification. This methodwillreduces risk by allocating investments among various financial instruments, industries, and other categories. In conclusion, the process of diversificationthatwas done by most of the investors are keeping to the concept of risk management in the Islam.
Blended Learning in Substantive and Procedural Law Modules: Malaysia’s Experience
Authors: Et.al Zainal Amin bin Ayub
Published: April 2021

Since its inception in 1990s, blended learning gain its footing in higher education system. The awareness amongst law lecturers on the blended learning however are not encouraging as they are firmly hold to Socratic methodology and conventional classroom face-to-face instruction. This study examines the awareness of law lecturers in using blended learning and the performance of the students who enrolled in blended learning classes. This study involves descriptive and inferential statistical analyses to investigate the law lecturers’ awareness and to analyse impact of blended learning toward students’ performance. Five modules have been experimented, three substantive law modules and two procedural law modules. The results suggest that the awareness of law lecturers on the usage of blended learning is increasing. While students’ performance, the result shows that it is better if the module is blended, but only in regards to substantive law module. On the contrary, the performance of the students is unsatisfactory in the procedural law module. This study concludes that while the awareness and the interest among law lecturers to use blended learning is increasing, it is also concluded that the suitability of blended learning only in regards to substantive law modules compared to procedural law modules.
Assessment of Soft Skills that Foster Practical Skills in Accounting Course
Authors: Et.al Uvathi Mariappan
Published: April 2021

Accounting subjects in a matriculation college focused on knowledge and practical skills, with less attention to the elements of soft skills. Hence, the purpose of this study was to assess the level of soft skills among accounting students attending Perlis Matriculation College. A total of 250 students in the first semester, comprising 80 male and 170 female students took part in the study, which was based on assessments using individual and group assignments. Students used the Mr. Accounting software for individual assignments and case studies during group assignments. The study was carried out throughout a semester, which was 16 weeks. A soft skills assessment tool was adapted from the Integrated Cumulative Grade Average Grade (iCGPA), which was used by lecturers in the college to assess the competencies of the students. The soft skills were evaluated through observations during the assignments by the lecturers using the soft skills rubrics, which had 38 items that represented six learning outcomes based on the Malaysian Qualifications Framework. The data collected were analysed descriptively. The findings showed that the overall elements of the learning outcomes had a high mean score, which suggested that students practised these sets of soft skills in the learning process. The domain with the highest score was on social responsibilities, while critical thinking and problem-solving skills.
Exploratory Study of Process Development in Technology Transfer Evidence from Automotive Firms
Authors: Et.al Khairulnizam Abdul Mokmin
Published: April 2021

The topic of technology transfer is important in the context of developing and emerging economies as successful technology transfer and local technological development efforts can play a crucial role in the economic development of a recipient country to value added its products or activities. Technology transfer process is an integration process which involved the technology provider, receiver, object of transfer and transfer mechanisms. However, previous researches showed that the failure of technology transfer mainly caused by several factors.  This research explored the development process of technology transfer from the joint venture companiesof the automotive firms in Malaysia.  Technology transfer process development will be assessed in a holistic way beginning with the in depth understanding on the process of technology transfer and key challenges during the development process that contributed to the success in the perspectives of Organizational Learning, Knowledge Based View and Resource Based View. These theories were important point of view to categorize the process that contributedtothe success of technology transfer development.  This research contributed several theoretical, empirical and methodological (modified Delphi method) values to the literature on the factors related to transfer technology success, and evolutionary process of technology transfer. Instead of development process, this research also identifiedthekey challenges during the process and recommendation on how to overcome them. Semi-structured interviews were conducted against 12 participants from automotive firms, consisted of R&D staffs, Top Management, Designers, Engineers and Technicians, including the experts from government agencies related to technology transfer activities.  This study will present relevant contributions to the company’s top management, technology transfer practitioners, policy makers, along with the researchers who were interested to get involved directly in the process of technology transfer. This research originality lies in the proposed framework of a technology transfer process development in joint venture as a business strategy.
The Relationship between Corporate Governance Mechanism and the Firm Value: The Case of Islamic Banks in Malaysia and Indonesia
Authors: Et.al Nooraisah Katmon
Published: April 2021

Our study empirically examines the relationship between corporate governance mechanism and their interactions on the firm value. We concentrated on the banking industry in Indonesia and Malaysia given that majority of the literature are primarily focused on the non-financial industry due to stringent regulation on disclosure in the financial banking counterparts. We measure firm’s value using Tobin’s q, while corporate governance mechanisms comprised of independent directors, the presence of audit committee, the institutional ownership as well as the percentage of female directors on the board. Using 48 observations during the year 2016-2018, our result exhibit that there is a significant positive association between audit committee independence and firm value. Moreover, we also reported a negative link between board independent and the presence of female directors on the firm value. In respect to our interaction effects, we found that there is a complementary relationship between (i) audit committee independent and board independent and (ii) female directors and audit committee independent and firm value. Moreover, our regression also reported a significant substitutive relationship between (i) female directors and institutional ownership (ii) female directors and board independent as well as (iii) audit committee independent and institutional ownership and firm value. In contrary to the findings from the western counterpart, our result shows that the presence of female directors reduce firm value, thus suggesting that the role of female directors have been impaired due to the cultural aspect of the society.
Eustress and Distress Analysis Based on Neuro-Physiological Model of Affect
Authors: Et.al Norhaslinda Kamaruddin
Published: April 2021

Researchers have focused on the negative effects of stress while its benefits have been relatively ignored. There has been limited studies to quantitatively understand the positive impact of stress. Although most of the studies were carried out by psychologist, in general, stress can be characterized by negative valence from the perspective of the affective state model (ASM). In fact, most recent psychological findings show that positive stress, also known as eustress, can improve motivation factor of an individual. In this paper we propose the use of electroencephalography (EEG) device to capture the brain's electrical activity in the frontal and central areas, in identifying positive (eustress) and negative (distress) stress. The distinctive brainwave patterns from the EEG device can be used to extract emotion/mood information of an individual and can be used to corelate the differing stress. The neurophysiological Model of affect (NPMoA) extracts the valence (V) and arousal (A) from the brainwave signals and corelate then to the psychological instruments for extracting eustress and distress. The Student Academic Stress Scale (SASS) will be used as the psychological instruments to extract eustress and distress. Preliminary results show the ability of using the EEG device to extract the brainwave pattern and to use in detecting stress based on the valence and arousal of the emotion. It is expected that NPMoA should be able to reveal correlation between positive emotions and eustress through the V and A. Such understanding can be extended to further analyze different stressors for academic stress and their effects on the brain signals.
Comparative Study on Sentiment Analysis Approach for Online Shopping Review
Authors: Et.al Norhaslinda Kamaruddin
Published: April 2021

The internet has revolutionized the way most people shop. Flexibility, convenience, products’ variations, better price, and more privacy contribute to the exponential growth of online shopping platforms. However, due to the nature of online shopping, customers are not able to physically test the product before purchasing. They rely on the information given by the seller and previous customers’ ratings to make their decision. Sometimes, the information that is given by sellers may be fraudulent, misleading, or over claim. Many researchers had found out that ratings and other customers’ reviews can be manipulated and did not reflect on the actual customers’ sentiment on the particular product. This research investigates how sentiment analysis can be used as an alternative solution to measure the positive, negative, and neutral feedback of the past reviews. It is to offer more comprehensive way to help the customers make an informed decision for the product that they wish to buy based on the totality of the reviews. This paper makes a comparative study on sentiment analysis methods on online shopping reviews. This can lead to the proposed theoretical framework of an alternative solution for better insight exploration. It is envisaged that this research would benefit the customer in making a better decision when doing online shopping and may act as a feedback mechanism for the seller to provide good products and services. A good product rating can influence many new buyers and increase business revenue and expansion
Factors Affecting Continued Use of Online Health Information Seeking Behaviour Among Parents in Developing Countries
Authors: Et.al Mira Kartiwi
Published: April 2021

The advancement of technology has changed how parents engage in health information seeking activities through the Internet. Such trends not only shown in developed countries but also most of developing economies as the growth of population access to Internet have been steadily increased in the past ten years. Despite the growing penetration rate, little is known on the extent the Internet is being used by parents to obtain health-related information to improve the wellbeing of their children in developing countries. Five hundred and nineteen responses were collected from parents in selected areas of Klang Valley region in Malaysia. The collected data were analysed by partial least square method of structural equation modelling. The results indicated a positive relationship between information satisfaction and online health information seeking continued use. The moderating role of household income and education are confirmed. The research implications of our results would help medical practitioners and policymaker to design the appropriate supports and awareness programs for parents on the risk and benefits of using online health information.
Development of Digital Signage for Primary School using Raspberry Pi
Authors: Et.al Teddy Surya Gunawan
Published: April 2021

Nowadays, digital signage is a modern advertisement alternative that took over billboards and other traditional advertisements. In the context of education, digital signage provides students, teachers, and parents with an effective way of communication. This research proposed designing and developing low-cost digital signage using Raspberry Pi to be stationed at primary school. An LCD monitor and Raspberry Pi 4 single-board computer were utilized to display various informative content, such as examination date, daily schedule, and other announcements. Two methods were proposed, including Screenly and WordPress on a web server. The WordPress version needs to install PHP, MySQL, and Nginx web server, which can be accessed and updated remotely. Results showed that the free version of Screenly would be adequate for a simple announcement, but the developed WordPress version will be more appropriate and flexible for the primary school purpose.
Adoption of COBIT 5 Framework in Risk Management for Startup Company
Authors: Et.al Yeni Kusumaningrum
Published: April 2021

The research method used is qualitative, where data collection is done by interviewing informants related to risk findings and identification of the root of the problem using fishbone analysis with category 6M (Man, Money, Machine, Material, Method, Measurement). The results of the identification of the root causes are included in the risk quadrant with the risk probability categories (high, medium, low) and risk impact categories (high, medium, low). After getting the data needed, the stages of creating a risk management model that is mapping the results of identifying the root causes with the COBIT 5 framework. The results of interviews related to the risks experienced by small and medium enterprises obtained as many as 19 risks and the results of fishbone analysis (identification of the root causes) obtained as many as 48 root causes, but this study took a quadrant I-VI with a total of 24 root causes. This research produces a risk management model in the form of COBIT 5 process that is in line with the root of the problem that occurs in small and medium-sized enterprises, namely EDM03 (Ensure Risk Optimization), APO12 (Manage Risks), BAI02 (Manage Requirements Definition), DSS05 (Manage Security Service) , MEA02 (Monitor, Evaluate and Assess the System of Internal Control).
Designing on Optical Wireless Communication for 5G Mobile Applications
Authors: Et.al T.Padmapriya
Published: April 2021

The emphasis of this paper is on designing 5G networks infrastructure, offering a better wireless and optical network segment transport scheme with domains for applications for mobile phones. Identify the appropriate set of power grid wireless (optical/optical) technologies) and processing modules needed to facilitate 5G mobile services in an energy-efficient a two-stage optimization framework and the premium way is suspected. A multi-objective method in the first iteration is for optimization, where reflects on the element of the transport network strives to jointly reduce the expenditures on investment of the 5G mobile network. This is done to determine the minimum mobile technologies for wireless and optical power grids. The second stage focuses on the branch of the web server and aims to define effective modules of processing to which 5G operational systems need to be distributed. The performances of the proposal are investigated using separate clustering algorithms, reasonable traffic statistics choices such as mm-wave and optical passive networks (PONs) for optical grid transport, fixed, and elastic networks in Bristol, UK, via a city-wide topology. To give more advantages to 5G applications, our paper proposed a 5G communication using optical wireless technology.
Prediction Tourist Visits With Multiple Linear Regressions in Artificial Neural Networks
Authors: Et.al Rini Sovia
Published: April 2021

Tourist visit is a topic of discussion that has been much researched by previous researchers in conducting a prediction process. Many prediction models have been produced that refers to the use of several methods to obtain output in the form of information that is needed by the tour manager. Judging from the results of the study, it is still only focused on the discussion in producing output without testing the correlation of variables used as predictors. The problem in this study is how to predict the number of tourist visits by using Multiple Linear Regression (MLR) as a correlation test predictor variable and Artificial Neural Network (ANN) as a calculating machine in making predictions. The implementation of these two methods is very suitable to be used in terms of prediction, where the MLR method test results show the correlation of predictor variables used namely xxx correlation. Then in the prediction process that has been done to produce output with an accuracy value of xx%, the value of MSE xx% and RMSE is xx. Therefore, this research will be useful for managers of the tourism sector so that the goal achieved from this research is to assist the tourism office in seeing how many visits will occur in the next period.
Sentiment Analysis with Deep Learning: A Bibliometric Review
Authors: Et.al Nurnasran Puteh
Published: April 2021

Sentiment analysis is an active area of research in natural language processing field. Prior research indicates numerous techniques have been used to perform the sentiment classification tasks which include the machine learning approaches. Deep learning is a specific type of machine learning that has been successfully applied in various field such as computer vision and various NLP tasks including sentiment analysis. This paper attempts to provide a bibliometricanalysisof academic literature related to the sentiment analysis with deep learningmethods which were retrieved from Scopusuntil the third quarter of 2020. We focus on the analysis of the research productivity in this field, the distribution of subject categories, the sources and types of the publications, their geographic distributions, the most prolific and impactful authors and institutions, the most cited papers and the trends of keywords.This study can help researchers and practitionersin keeping abreast with the global research trends in thearea of sentiment analysis using deep learning approaches.
The Trend of Published Literature on User Experience (UX) Evaluation: A Bibliometric Analysis
Authors: Et.al Norhanisha Yusof
Published: April 2021

The term user experience (UX) emerged in the early 1990’s. Thenceforth, UX has become a key term for researchers to focus on aspects that go beyond usability and particularly in the field of Human Computer Interaction (HCI). The aim of this study is to analyse the bibliometric aspect of UX evaluation literature from Scopus database whereby 644 papers were extracted. The study utilised publishing or perishing software to collect the data, while VOSviewer was used to visualise the data. Data analysis was also carried out using SPSS and Microsoft Excel. The publication of articles between 2018 and 2019 increased to 117 articles in 2019 and this is the highest publication to date. Most of the publications are from journals and conferences, mainly in English. Based on the analysis of the co-occurrence map of all keywords in the articles published, the keywords frequently used by the authors are user experience (416) and user experience evaluation (155). Most of the research related to UX evaluation was conducted in United States; and the researchers prefer multi-authored publications. The co-authorship map of the journal’s authors showed that V. Roto is one of the dominant co-authorships. Other than that, Arnold P. O. S. Vermeeren is also the most cited author of UX evaluation in Scopus database. This study presents the history of scientific literature in user experience evaluation and will provide guidance for future research.
New Business Segmentation for Haulage Industry in Malaysia
Authors: Et.al Mustakim Melan
Published: April 2021

The haulage industry has the biggest fleets as compared to the others road trucking operators in Malaysia.  The history of haulage industry started in 1971 until 2004 with five operators and in 2019 and above was recorded to 220 operators in the market. It was demonstrated with the open market which the growth of total fleet from 2,131 prime movers and 10,701 trailers before 2004 and more than 4,500 over prime movers and 31,500 over trailers in 2018 (AMH, 2018). The total number of prime movers and trailers had increased to 111% to overall fleets’ capacity. Haulage market which relate to container throughputs form 2009 - 2019 (ten-year) recorded at 16 million tues to 25 million teus in 2019 (UNCTAD 2019) which increased only by 65%. It was calculated on the surplus by 46 % of holding of prime movers in haulage industry at present. Apparently the market of haulage industry has stagnant and invite further sluggishness on haulage movements. The haulage operators had initiated to downsizing on the fleets due to unstable market and difficulty to sustain in their business. Therefore, the research suggests on appropriate ways to improve on the present condition and making more competitiveness of haulage industry. This research will investigate into three (3) segmentations such as reduction number of fleets, improvement on present activities and changing on other types of trucking businesses. The key respondents of the survey were the haulage operators, customers, government agency and other stakeholders. The survey was conducted among 200 respondents and at the end only 170 answers were accepted. The research uses SPSS version 25 and PLS-SEM to analyze from the collected data. The finding of the research has suggested that the three segmentations are the most appropriate ways to improve the present condition in haulage industry.
Awareness about Cyber bullying on Social Media among Female Students in a Malaysian Public University
Authors: Et.al Nor Hazlyna, H
Published: April 2021

This study is conducted to analyse the reasons for cyberbullying and the effects of cyberbullying on social media among female students at a university in Northern Peninsular Malaysia. One hundred female students participated in this study through online survey. Majority of the respondents are well-versed pertaining to cyberbullying and are not involved in cyber bullying. The results indicate that female students are exposed to cyberbullying on social media, namely Instagram, Facebook and Twitter and others. This is because the female students use social media daily and are more insecure and sensitive on the words hurled in social media.
A STUDY ON MORAL REASONING AND ACADEMIC ACHIEVEMENT OF SECONDARY SCHOOL STUDENTS IN SATHYAMANGALAM TALUK OF ERODE DISTRICT
Authors: Et. al. Father Sri Marshal Joseph,
Published: April 2021

Moral reasoning is mainly focusing on making right decisions to do right activities and exhibit good behaviour of school students in a particular situation and it provides chances for them to discover and realize values, to build character and to improve personality. The findings reveal that there exits significant difference amongst moral reasoning of secondary school students and their profile. Moral reasoning is positively and moderately related with academic achievement of secondary school students. Hence, secondary school teachers should give proper guidance to their secondary school students for improving their moral reasoning and ethical and moral behaviours. Parents must provide conducive home environment for their secondary school students to enhance their abilities for moral reasoning and academic achievement. Furthermore, secondary school teachers should interact, discuss and exchange ideas regularly with their secondary school students for increasing their moral reasoning and academic achievement. Peer groups and family members must also give moral support to their secondary school students for improving their moral reasoning and academic achievement. In addition, secondary schools should conduct various programmes for enhancing moral reasoning and academic achievement among their secondary school students.
EFFECT OF DEPOSITION TECHNIQUES OF REINFORCEMENT DURING FABRICATION OF AL-BASED SURFACE HYBRID MATRIX METAL MATRIX COMPOSITE
Authors: Et. al. Kuldip Kumar Sahu,
Published: April 2021

Several deposition methods have been proposed for pre-deposition of reinforcement particle for preparation of surface metal matrix composite by Friction Stir Process. The method, which will effectively and homogeneously spread the reinforcement within processed zone, will be considered as best possible method.Homogeneous volumetric metal matrix composites can be fabricated by conventional casting and modified stir casting methods. Friction stir process (FSP) can be used as one of the best technique to fabricate surface modified metal matrix composites. In this research article, silicon carbide and graphite powder are used as reinforced materials and AA6061 is used as parent metal matrix material.  FSP which is a versatile surface composite preparation technique is applied for fabrication of surface composite. Herein, single channel, multi-channel and perforated holes methods have been utilized for reinforcement deposition. As per the results, perforated blind holes method is reported as best method of pre deposition of powders. Finally, array of holes for pre-deposition of reinforcement powder improves approx 25% in ultimate tensile strength , 40% in micro-hardness and appreciable grain refinement are observed in metal matrix composite processed by FSP as compared to as received alloy.
Viscous Dissipation and Heat Transfer Effect on MHD Boundary Layer flow past a Wedge of Nano fluid Embedded in a Porous media
Authors: Et. al. N. Amar,
Published: April 2021

In this investigation the steady of laminar magnetohydrodynamic(MHD) heat and mass transfer two dimensional boundary layer nanofluid flow past a wedge embedded in a porous media in the availability of the viscous dissipation, thermophoresis and Brownian motion effects are taken into account. With the assistance of the similarity transformation, the governing partial differential equations (PDE) are transformed into nonlinear ordinary differential equations (ODE). The solution of the problem is solved numerically by using the MATLAB in built package solver bvp4c. The method's accuracy is examined against recently discussed results and outstanding agreement was reached. The impacts of the pertinent flow parameters are examined through graphs and tabular form.
CGRA MODULO SCHEDULING FOR ACHIEVING BETTER PERFORMANCE AND INCREASED EFFICIENCY
Authors: Et. al. Siva Sankara Phani.T ,
Published: April 2021

Coarse-Grained Reconfigurable Architectures (CGRA) is an effective solution for speeding up computer-intensive activities due to its high energy efficiency and flexibility sacrifices. The timely implementation of CGRA loops was one of the hardest problems in the analysis. Modulo scheduling (MS) was productive in order to implement loops on CGRAs. The problem remains with current MS algorithms, namely to map large and irregular circuits to CGRAs over a fair period of compilation with restricted computational and high-performance routing tools. This is mainly due to an absence of awareness of major mapping limits and a time consuming approach to solving temporary and space-related mapping using CGRA buffer tools. It aims to boost the performance and robust compilation of the CGRA modulo planning algorithm. The problem with the CGRA MS is divided into time and space and the mechanisms between the two problems have to be reorganized. We have a detailed, systematic mapping fluid that addresses the algorithms of the time mapping problem with a powerful buffer algorithm and efficient connection and calculation limitations. We create a fast-stable algorithm for spatial mapping with a retransmission and rearrangement mechanism. With higher performance and quicker build-up time, our MS algorithm can map loops to CBGRA. The results show that, given the same compilation budget, our mapping algorithm results in a better rate for compilation. The performance of this method will be increased from 5% to 14%, better than the standard CGRA mapping algorithms available.
MATHEMATICAL MODEL FOR THE RESPONSE OF HPA AXIS APPLYING GOMPERTZ - MAKEHAM DISTRIBUTION IN ASSOCIATION WITH ANALYTIC UNIVALENT FUNCTIONS
Authors: Et. al. V.G. Shanthi,
Published: April 2021

The study here is to find the activity of Hypothalamic Pituitary Adrenal axis - HPA which is a major part of human system which controls reaction to stress by finding Cortisol level and  the objective is to observe the response of the system over time due to stress by applying the Gompertz - Makeham distribution. Here we develop two functions f 1(z)and  f 2(z)  by using the class  of analytic univalent functions in the open unit disc whose coefficients  are considered as Probability density function of  the above mentioned distribution,  for which the Subordination  property, Convex and Star likeness  hold.

Current study leads us to a real life application by considering the effects on the response of HPA axis to acute stress. The concluded results coincide with the medical findings.
THE IMPLICATIONS OF GIG WORKERS, COVID 19 PANDEMIC, FINANCIAL BUDGET AND BUDGETARY CONTROL ON DIGITAL TRANSFORMATION IN NIGERIA HIGHER EDUCATION INSTITUTIONS
Authors: Et. al. Adeniyi Temitope Adetunji,
Published: April 2021

Financial budget and budgetary control do not only help in providing a blue print for businesses to move forward but also checks the performance of operational efficiency of business activities. Accordingly, an organization should be well prepared to meet its long term and short term expenses and goals, thereby enabling the managers to monitor organizational functions.  During the coronavirus pandemic of 2020, many organizations adopted the GIG economy and digital transformation. People work remotely in part-time or temporary positions as a staff in an organization, making work cheaper and more efficient services being provided. Justly, a proper coordination of the GIG workers and digital transformation amidst the changing economic situation is necessary for making financial budgets and budgetary control a success. The study investigates the implication of GIG workers and digital transformation on financial budgets and budgetary control. The study collected primary data through a survey research design from institutions in Ogun State, Nigeria. The paper explored finding from accounting officers in the institutions. Purposive sampling technique was used to select 40 well completed questionnaires from the participants in selected institution. The study adopted both descriptive and inferential statistics in analyzing results. The result indicates that a positive significant relationship exists between GIG workers and Covid-19 improves digital transformation in HEI. It is therefore recommended that a GIG worker should be a strategy to budgetary control of financial budget in the case of pandemic or any emergency within the HEI. This doesn’t mean that GIG workers should replace or displace the employee of the institution as assumed by few. When abnormal becomes normal then normal way of life should not be seen as abnormal rather it should be an advantage to leverage of skills acquisition and digital transformation as observed and experienced in this study.
Corpus Attributes Of Online Journals and Websites as Basis for a Free Publication Management Model
Authors: Et. al. Jun S. Camara,
Published: April 2021

Today, to publish an academic paper requires experience not only in ‘doing’ the research itself but understanding how it is made available online or in print. This study, an excerpt, has profiled websites and journal articles indexed from the Directory of Open Access Journals during mid-2020 in the field of Science Education, with the end in mind of proposing a publication management model for beginning ‘authors’. Using an exploratory mixed method design, this excerpt of the study extracted 185 corpus websites and 103 corpus journal articles from more than 5 million article records of DOAJ. Findings revealed that United States topped the countries with the highest number of corpus and that majority of these journals not charge submission or article processing charges from authors, yet content crawling was observed in most of the journals. Analysis of corpus articles reported sub-sections consistently included in their submission indicative of an international pattern among accepted articles. Recommendations included the proposal to develop a publication management model for beginning ‘authors’ in state universities and colleges in the Philippines.
The Influence of Work-Life Balance, Servant Leadership, and Reward to Employee Engagement with Job Satisfaction as Mediator
Authors: Et. al. Andyan Pradipta Utama,
Published: April 2021

The purpose of this research is to test the influence of work and personal balance, servant leadership, the reward of employee engagement with job satisfaction variables as mediators. The type of research used is explanatory research with a quantitative approach. The research hypothesis is a theoretical model consisting of the influence of work-life balance, servant leadership, and reward with mediator job satisfaction that can be used to predict and explain the emee engagement (FIT) with empirical data. The research respondent is the employee of Bank X in Bandung as much as 205 employees while the method of measuring data using a work-life balance scale, servant leadership and reward as an exogenous with a mediator job satisfaction to the employee engagement as endogenous with RMSEA 0.049. Data analysis using structural equation model (SEM) by using linear structural model (LISREL) version 8.72. Hypothesis testing structural relations included 5 variables fit, has the meaning the model matched (FIT) with field data. Hypothesis testing the structural relationship variables of the work-life balance, servant leadership, and reward simultaneously were able to describe the KK variable by 0.80 or 80%, while the relationship of job satisfaction against employee engagement 0.42 or 42%. The model accepted and the statement about the relationship of a variety of variables used is valid as a construct and can be inferred as the structural relationship.
Analysis of Bunkruptcy Prediction With Altman Z-Score, Springate and Zmijewski Models Based Engineering Science (Case study at Garuda Indonesia Airline, Period Years of 2014-2017)
Authors: Et. al. Dailibas,
Published: April 2021

The purpose of this reseach is to analysis and to make a bunkruptcy prediction of the Garuda Indonesia listed on Indonesian Stock Exchange,and to find out  what the best model used in  a bunkruptcy prediction of company. Reseach method  based on purposive sampling.The population of this reseach is a numbers of company financial reporting listed on Indonesian Stock Exchange, and the sample obtained from period years of 2014 to 2017. The analysis of technical data used is descriptive analysis with a helping microsoft excel software . The reseach finding,  that based on Altman Z-Score, and  Springate prediction model based engineering science, Company have experienced a potency of bunkruptcy since  2014 till 2017. Meanwhile   Zmijewski prediction model based engineering science company has experienced a potency of bunkruptcy  in 2014 and 2017. whrereas  in  2015 and 2016, company is classificated as a healthy company. Based on result of the third models analysis mentioned,  Zmijewski model  is a better  in bunkruptcy prediction of  company.
IoT Enabled BLE and LoRa based Indoor Localization without GPS
Authors: Et. al. P Kanakaraja,
Published: April 2021

The common problem that people face these days to find out the Indoor location of a particular Object or a Person exactly. GPS-based location tracking is one of the very important services nowadays. To use GPS tracking to find a path to our destination and also track the position of our goods using GPS Tracking. It is also possible to track the exact location in absence of GPS with the help of proposed implementation. In some cases like indoor location, the GPS tracker cannot locate exact position of a person or an object. GPS Tracker generally requires an open space with no roof on it. Bluetooth Low Energy (BLE) iBeacons that have to understand basically where this technology can be used or where it is useful. Basically, it is for an especially indoor location tracking of something movable or mobile without the use of a GPS Receiver. This proposed article is going to discuss the idea of making an Indoor location tracker using BLE and LoRa Technology along with IoT Dashboard through “The Things Network” (TTN) to know the position of the object or a person anywhere in the world
BIOLOGICAL GENE SEQUENCE STUCTURE ANALYSIS USING HIDDEN MARKOV MODEL
Authors: Et. al. Karuppusamy T,
Published: April 2021

Identification or prediction of coding sequences from within genomic DNA has been a major part of the search of the gene. In this work real hidden Markov models (HMMs) to denote the consensus and deliver a beneficial tool in determining the splicing junction sites Markov models which has a recurring nature in computational biology leads to statistical models, in every sequential analysis it plays a role of putting up a right label on each residue. In sequential alignment and as well as in gene identification namely exons, introns or intergenic sequences which make in a sequence with homologous residue with the target database. Under the gene identification methodology Condon bias, exons, introns have length preference which leads to a combination of splice site consensus. Parameters are fixed on the onset while weight of the different information are polled together leading to the interception of result probability, which could lead to identifying the best score based on score mean and how confident are the best scoring answers are perfect. This leads to the concept of extendibility, to perfect and ad hoc gene finder, which is a modeled transitional methodology leading to the consensus, alternate splicing and offers polyadenylation signal. This leads to piling of authenticity against a delicate ad hoc program which could make to breakdown under its individual weightiness.
ORGANIZING ACTIVITIES FOR CHILDREN IN THE ORIENTATION OF STEAM EDUCATION
Authors: Et. al. Nguyen Thi Ut Sau,
Published: April 2021

The content of the article analyzes the advantages of STEAM education in the implementation of the kindergarten program in the current period and introduces the plan and results of activities for preschool children according to the STEAM orientation at the school at “May 19” Kindergarten - Thai Nguyen City - Thai Nguyen Province. On the basis of theoretical analysis and current situation, the author proposes a number of recommendations to effectively organize activities for preschool children according to the STEAM orientation in Preschools.
Assessing impact of triple helix variables to knowledge transfer variable and innovation systems
Authors: Et. al. Agung Budi Prasetio ,
Published: April 2021

The purpose of this study was to examine the role of the triple helix (TH) variable in knowledge transfer and innovation systems.  TH is divided into 3 variables, namely Industry, University and Government.  This study examined three TH knowledge transfer variables and innovation systems and the items variables that supported them. This study involved 360 respondents who were selected through an interception and online survey approach and had 4 hypotheses.  This study used a structural equation model to test the hypothesis. The findings showed that TH which consisted of 3 variables had a direct relationship with knowledge transfer.  Meanwhile, knowledge transfer was directly related to innovation systems. Although the TH concept had been explored in some previous literature, the role of TH and knowledge transfer had not been the concern of many researchers in creating innovation systems. Implications for practitioners, these findings confirmed that Innovation systems can be formed from an early age starting from the university environment and good government policies.  These findings also indicated that knowledge transfer related to TH services needed to be studied from a broader perspective.  Therefore, handling TH required synergy and a special strategy to take advantage of knowledge transfer in order to create an innovation system. Originality of this study, integrated the TH dimension with knowledge transfer and Innovation Systems.