bluuebunny/crossref_metadata_2025 huggingface dataset:
Design and development of RFID based Multi-User Smart Energy Distribution System at Sunyani Technical University, Ghana
Authors: Et.al Samuel Jonas Yeboah
Published: April 2021

In Ghana families living in large and compound houses desire to have separate energy meters from other occupants. This is because individuals cannot monitor and control the energy consumption of other tenants and results in misunderstanding in energy bill sharing, overcrowding of energy meters on the wall of a building and likelihood of fire outbreak. It is therefore expedient to have a very accurate, efficient and peaceful means of delivering electrical energy to multiple users within a household with just a single energy meter and this has necessitated the introduction of Smart Multi-user Energy Distribution Meter (SEDS). In this paper microcontroller based smart electrical distribution switch that has the capability of allocating independent energy units to several users in a household is proposed. Experiment was done by assigning Energy units of 4kWh, 8kWh and 6kWh to three logging points on the SEDS device representing three different users. A load of 100W was connected representing the consumption of individual user. The results indicate that the rate of consumption is dependent on the total load connected. The SEDS device has different switches allocated to each user which monitor the consumption rate of the user and automatically isolate a user when power gets exhausted which serve the same purpose as several users having different energy meters. However, individual consumption can be monitored and controlled by the user.
Recent Advances of STATCOM in Power Transmission Lines – A Review
Authors: Et.al Mr. L NarayanaGadupudi
Published: April 2021

Internal Liability of power system transmission lines influenced by the turbulences owing to catastrophic disasters. In order to achieve Constant Voltage Stability at both ends of the transmission lines, Static Synchronous Compensator (STATCOM) is imperative.  Voltage source Converter mechanisms augment with switching frequency control methodologies are widely adopted to regulate the reactive power. By deliberating IEEE Standards, the minimization of Total Harmonic Distortion (THD) is conceivable with STATCOM. This paper depicts the advancement of VSC based STATCOM approaches and the methodologies to minimize the switching losses. Economical management of High-Power ratings systems is also discussed in this paper
Pumped Storage Power Plants: The Treasure of Renewable Energy Sector in India
Authors: Et.al N.Subhashini
Published: April 2021

Renewable Energy has become an inevitable one in the world of power sector. Especially country like India (the second largest populated) powering the entire nation is not an easy thing. Typically we depend upon conventional energy sources which is to be dissipate at any point of time. Therefore now we are returning back to the pavilion, started using non conventional energy sources like our ancestors. Unlike conventional sources, the nonconventional sources are profuse in nature. These sources will be even more effective when coordination comes into picture. Mostly coordination will be done with wind and solar predominantly. In this paper, we are to reveal about the hidden treasure, the pumped storage power plant (PSP) its advantages and disadvantages.
HEFESTDROID: Highly Effective Features for Android Malware Detection and Analysis
Authors: Et.al Shafiu Musa
Published: April 2021

Rapid globalization and advances in mobile technology have brought about phenomenal attention and great opportunities for android application developers to contribute meaningfully to the global digital market. The android mobile platform being one of the famous mobile operating systems has the highest number of applications in the digital market with a total market share of 76.23% between August 2018 and August 2019, according to a report of global stats counter. However, the substantial number of applications on the platform has led to a great number of malware attacks on the user’s privacy and sensitive documents. Consequently, a significant number of malware detection studies have been carried out to reduce the number of malware attacks. This paper analyses the impact of using highly effective android permission features to decipher the problem malware attack. The Highly Effective Features for Android Malware Detection and Analysis (HEFEST) summarises four effective android permission features to be considered in conducting malware detection analysis and classifications. The features recognized in this study are; Normal Declared Permission, Dangerous Permission, Signature-Based Permission, and Signature-or-system. The selection is based on the capabilities of the features in depicting the behaviors of android apps. The research data are drawn from Drebin open source, the dataset comprises 15,036 benign and malicious applications extracted from 215 distinct features, the records 9,026 were malicious and 6,010 benign applications. However, this research compares the detection accuracy of android permission features using machine learning-based algorithms; Support Vector Machine, and K-Nearest Neighbor to achieve a comprehensive accuracy ratio of malware detection, the classifier has a strong accuracy decision of classification and exceptional computational efficiency. The model correctly classified 2,812 out of 2,869 malicious applications appropriately with an accuracy of 98.0% and also classified 1,607 out of 1,642 accurately with a success rate of 97.9%. Generally, 98.0% of classification accuracy was archived.
Innovative Smart Water Management System Using Artificial Intelligence
Authors: Et.al Aamir Khambati
Published: April 2021

The research paper proposes an effective solution to the critical problem of management of water resources. With the growing awareness of the need for water conservation, the world is gearing to accommodate and implement latest technology for the optimum utilisation of the drying up reservoirs. This paper aims at developing a cost effective, portable and ready to plug mechanism labelled as “Innovative Smart Water Management System Using Artificial Intelligence” which shall monitor the proportion of water usage per household and keep a tracking on metric usage on the water usage on a weekly, monthly or a yearly basis. The data generated will be established and collected in the Firebase server.  Based on the collected data, it shall also make predictions on the usage and hence allocate resources in a controlled fashion as per requirement. Later the data will be modelled in Time Series fashion to generate real time prediction of water consumption for the household respectively. The water consumer can track the usage by a custom-made android application on MIT App Inventor. Extensive, detailed instructions have been provided on the initial setup procedure and installation. The water monitoring module is used on a daily basis and a tab is kept on the amount of water spilled. This will keep a check on the casual approach of people towards water. It will also encourage a more systematic method to handle water resources and hence would result in better conservation efforts
Making Ends Meet: A Survey on Adapting Flexible Learning amidst the COVID-19 Pandemic of the BSIT Program in Davao del Norte State College
Authors: Et.al Jonilyn t. Dabalos
Published: April 2021

The COVID-19 pandemic unwrapped several challenges, most especially in the Academic Sector. To protect students, schools all world-wide have shifted from face-to-face instruction to flexible learning. This study narrates the Davao del Norte State College's sudden transition to flexible learning, particularly the BSIT Program, and how they make ends meet.
Virtual Schooling: Issues And Challenges During Pandemic
Authors: Et. al. Singh.A.
Published: April 2021

Virtual schooling is a participation between The Centre for Teaching and Learning (CTL) by means of different apparatuses, practices such as web-based platforms, tools, devices, video conferencing software, discussion boards to help and motivate students and educators to fill the gap of physical classroom. Virtual Schooling is inseparable from e-learning, happens on the web. Here, students and educators interact in synchronous where students interact or engage with educators while they convey their lessons live, or asynchronous, where students watch recording of the lessons later anytime. This Paper is exploratory in nature, data is collected with primary source like questionnaire and respondent are a total of 66 teachers and 65 students of schools in Lucknow city. Though virtual schooling can happen in multiple and distributed location but at the same time it is significantly more complicated than most expect. The difficulties engaged with virtual schooling might appear to be too various to even think about counting. Commonly found challenges on behalf of educators and students are: multitasking, requests advanced prestidigitate qualities which is inevitable, yet exhausting; quality of teaching resources; volume of work, remote teaching includes a bigger workload than traditional classroom teaching. The volume of assignments, design and plan the lessons and emails to answer can astonish you; time management skills are a continuous issue for remote learners with study, career and other commitments.
Profit Maximization of Magdalena Dairy Raisers Association’s Dairy Products in Magdalena, Laguna
Authors: Et. al. Rolan J. Malvar
Published: April 2021

This research demonstrates the use of linear programming in maximizing the proﬁt. It applies the concept of simplex method; a method in linear programming to solve industrial problems that aims to maximize the proﬁt. The Magdalena Dairy Raisers Association specializes in production of dairy products. Three different varieties of dairy products were observed. The data was simulated using MATLAB; a fourth-generation programming language and numerical analysis environment that creates data visualization and user interfaces (UI), calculates matrices, and develops and runs algorithms. The results show that using the Linear Programming Model, we obtain the total revenue of each dairy product with an increase of 108.17% for Fresh Milk, 12.10% for Choco Milk, and 35.95% for Milk O Jel from their previous revenue. As a result, we achieved our goal to maximize the net proﬁt with a total increase of 151.16%..
A Privacy Preserving and Efficient Randomness Routing in Adhoc Wireless Network
Authors: Et. al. G.Asha Jyothi
Published: April 2021

Now a day’s automatic key establishment of any two devices in the network is placed an important role and generation of key is used for public key based algorithm. By using public key based algorithm we can automatically generated secret key any two devices in the network. So that by performing this process we can randomly generate secret key. In the ad hoc networks another concepts is routing from source node to destination node. The generation of routing process can be done by randomly and performing this process we can improve the efficiency in the routing. In this paper we are implementing random routing of secure data transmission protocol for generating routing and provide privacy of transferred message. By implementing this protocol we can provide random routing process for transferring message. Before transferring message the server will randomly generate routing for source node to destination node. After that the source node will send data to destination node. Before transferring message or data the source node will encrypt and send the cipher format data to destination node. The destination node will retrieve cipher format data and perform the decryption process. After completion of decryption process the destination node will get original message. By implementing those concepts we can improve the efficiency for generating routing and also provide security of transferring message.
Recognition for lateral faces using Neural Networks
Authors: Et. al. Dr.M.Aruna Safali
Published: April 2021

Face recognition is most difficult and complicated technique. Recognition of lateral faces is very difficult compare with normal face recognition. Pattern recognition is mostly used in this system to recognise the lateral face patterns (LFP).  Neural network is used to find the patterns and lateral face recognition can be done by this technique. After the many researches face recognition becomes difficulty for the various techniques based on their parameters. In this paper, the amalgamative lateral face recognition(ALFR) which is merged with machine learning and neural network features can be done by using synthetic dataset consists of 200 lateral faces. Performance shows the improved results of proposed technique.
Stress–Strain Behaviour of Bacterial Concrete Incorporated With Sugarcane Fibres
Authors: Et. al. Ms. P.Kala
Published: April 2021

Bacterial concrete is one of the methods of rectifying the micro-cracks developed in the structural elements made of concrete. The gram-positive type bacteria Bacillus subtilis when acquainted with concrete produces calcite precipitation which heals the micro cracks in the concrete. Bacillus subtilis was used with a cell concentration of 106. The optimised percentage replacement of fine aggregates with sugarcane fibres of grain size less than 4.75 mm was 0.1 %. The effect of sugarcane fibres on the durability of bacterial concrete is presented in this paper.To study the Stress -Strain behaviour of Sugarcane based Bacterial concrete (SBC), appropriate analytic SS model is developed that resembles the experimental behaviour of the various samples such as Conventional Concrete (CC), Bacterial Concrete (BC) and SBC. This work mainly targets on utilizing the earlier models and offers a new SS model that can well represent the actual SS behaviour of SBC samples. After finding the SS behaviour of CC, BC and SBC specimens experimentally, equations are developed to characterise axial SS behaviour of CC, BC and SBC samples. From these mathematical equations, theoretical stress for CC, BC and SBC are calculated and compared with test values. The proposed equations have exposed good connection with test values authorizing the mathematical model developed.
Conservative Working Capital Policy: Can it Increase Profitability and Sustainable Growth Rate?
Authors: Et. al. Sunardi Sunardi
Published: April 2021

The objective of this study is to investigate the effect of conservative working capital policy on profitability and examine the effect of conservative working capital policy on sustainable growth mediated by profitability in the manufacturing sector in Indonesia. This study involves 133 manufacturing firms in Indonesia during the 2013-2018 period. Data are analyzed using panel data regression with random effects estimation models. The result of this study showed that conservative working capital policy, both investment and financing policy, has proven to have a positive effect on sustainable growth rate. Besides, this study also proved that profitability has a positive effect on SGR. Furthermore, there was the effect of conservative working capital policies on the level of sustainable growth through profitability. This study not only contributes to expanding knowledge about the relationship between working capital policies, profitability and sustainable growth rates, but also has relevant implications for firm managers to improve firm performance to be able to grow sustainably
Assessing the Factor Influence on Patent Activity in Mining and Metallurgical Industry (e.g. Nano Products)
Authors: Et. al. Svetlana A. Ulyanova
Published: April 2021

The creation of an intellectual property product with a vector of effective implementation into production predetermines the search for optimal proportions of interaction between scientific, industrial, and educational parameters. Scientific, industrial and educational types of organizations are proposed to be interpreted as objects of interrelated elements that have a direct impact on patent activity in the field of nano production. Additional emphasis was placed on the factors that arise in the process of commercialization of objects of intellectual activity and have a critical impact on the final results of the process. In this connection, it was proposed to introduce the concept of dysfunction (a dysfunctional indicator of the promotion of high technology products), considered as a factor-obstacle in the process of entering the market of intellectual property. It also introduces the definition of success (an indicator of the success of promoting science-intensive products), considered as a vector antonym of dysfunction, which is a defining tool to improve the effectiveness of the strategy for the commercialization of scientific developments and projects.

The paper defines the boundaries of the indicators of success and the dysfunctionality of the patent activity of high technology products using the example of nanomaterials. The indicators were evaluated for their compliance with the proposed criteria. This approach can be positioned as a way to identify and correct dysfunctional and successful factors that predetermine the effectiveness of patent activity of high technology products in the mining and metallurgical industry.

The article proposes a model for assessing the factors affecting patent activity in the mining and metallurgical complex, based on the division of factors into blocks of standard and specific purposes, based on the specifics of the nano object of the mining and metallurgical complex as a product on the market. The model includes scientific, educational, and industrial indices that have a direct impact on patenting activity in the field of nanomaterials and nanotechnology in the mining and metallurgical industry. The correspondence of scientific, production, and educational parameters was checked on the example of a science-intensive product of the proposed model for increasing patent activity
A Malaysian Empirical Study of the Associations among Transformational Leadership, Transactional Leadership, Organizational Culture and Succession Planning
Authors: Et.al Vichetera Rajagani
Published: April 2021

This study aimed to identify the relationship between transformational leadership, transactional leadership and organizational culture factors withsuccession planning. Besides that, this paper also intended to look at the influence and contribution of those factors on succession planning implementation. The sample of this study is focused on the Education Service Officers at Ministry of Education (MoE), Malaysia. Data were collected from 261 Education Officers from 21 Division in Ministry of Education, Malaysia. The findings revealed that transformational leadership, transactional leadership and organizational culture have positive significant relationship with succession planning. Besides that, this study also found that transformational leadership style, transactional leadership style and organizational culture contributing to the implementation of succession planning. Therefore, according to the research findings, we recommend that transformational and transactional leadership style, besides organizational culture factors should be considered in implementing succession planning.
A Review of Research on The Effectiveness of Using Kahoot To Enhance Students’ Motivation To Learn English
Authors: Et.al Charanjit Kaur Swaran Singh
Published: April 2021

This study reviews literature on using Kahootgame-based learning to motivate second language learners to learn English. In this ultramodern era, learning style is more oriented and given priority according to present growth in the field of Malaysian education. Furthermore, many studies have proven that Kahootgame-based learning had motivated ESL students to participate actively and effectively in learning. This review determines to investigate whether using Kahoot, digital learning has any effect on primary students’ motivation and participation in acquisition of English language. This study will be conducted both quantitatively and qualitatively involving 2 classes of year 5 consist of 60 pupils whose English language proficiency is at intermediate level. The experimental group will be exposed to weekly Kahoot sessions over a time frame, in contrast the control group will be taught with the conservative approach. At the end of the sessions, data will be collected via pre-tests, post-tests, interview along with questionnaires on students’ motivation towards gamified learning which later will be analysed descriptively. The study hopes to provide insights for better implementation of game-based technologies in English language classroom curriculum.
Categories for Non-Compliance of Movement Control Order in Malaysia: A Review through Online News Report
Authors: Et.al Muhammad Ridhwan Sarifin
Published: April 2021

The Movement Control Order (MCO) has been enforced on 18th March 2020 following the COVID-19 pandemic in Malaysia. This MCO is hoped that it is able to lower the number of infection cases in Malaysia. However, some groups of societal members were found as non-compliant with the MCO as reported by the online news. The objective of this research was to identify the display category on the news of non-compliant citizens in MCO period. Data analysis had been performed on online news starting from 18th March 2020 until 28th April 2020 which is based on MCO Phase 1 up to Phase 3. More than 100 online news headlines about MCO violation had been analysed using content analysis method based on Social Interaction Theory. The research outcome has found that social interaction plays a vital role in non-compliance issue within the enforcement period of MCO as reported by online news. The categories for non-compliance of MCO are as follows i) Movement without a valid reason, ii) Sports and recreational activities, iii) Religious activities, iv) Visiting and having feast, v) Chatting at restricted area, vi) Drugs-related violation, vii) Crime involvement and police record, viii) Gambling and Entertainment, ix) Intake of drinks leading to intoxication and imagination and x) Violation by foreigners. The use of social interaction theory in this research has clearly illustrated that non-compliance of MCO shows self-control of the perpetrator as a result of social control is very weak. Generally, the violation of MCO has a relationship with the environment of social interaction. Social interaction has a conflict that leads to deviant act which causes the breach of rules and norms.
Attitude of Students towards Cooperative Skills in Learning Kadazandusun Language in Malaysia
Authors: Et.al Minah Sintian
Published: April 2021

The purpose of this research  is to identify the attitude of students towards cooperative skills in the learning of Kadazandusun language in a few secondary schools around Sabah state, Malaysia. The respondents consist of 265 Form 2 students from eight secondary schools, who is learning Kadazandusun language. The 5 point Likert  scale is used in the questionnaire. There are ten items each with the attitude and cooperative skills section. To analyse the data obtained, descriptive analysis and Spearman’s Rhohave been used. The descriptive result shows a mean score for attitude is between 3.04 to 4.31, and 4.07 to 4.57 for cooperative skills. Correlation analysis shows a significant positive and medium strength of relationship between the attitude of students with  cooperative skills in learning Kadazandusun language,(rs=0.533, p<0.01). This research implicates the importance of cooperative skills in learning Kadazandusun language in the 21st century in line with the need of industrial revolution 4.0.
Press Report on Development of Youth Clubs and Associations in Perak before the Second World War
Authors: Et.al Siti Zahrah Mahfood
Published: April 2021

Activities of youth clubs and associations in Perak were reported in newspapers prior to the Second World War. Based on library research, the primary sources examined, were newspapers such as Taiping Weekly, The Times of Malaya and Planters & Miners Gazette. Other documents and previous studies related to this study contributed to the discussions presented in this paper. This paper focused on details relating to the foundation of clubs and associations in Perak since the British set foot in Malaya. The establishment of these youth clubs and associations opened new avenues for youths from different ethnic backgrounds to participate in activities within their communities which garnered encouragement from the British for youth activities in Perak. Such support from the British reflected their eagerness in developing clubs and associations in Perak. This then served as a catalyst for youths to be involved in organising and establishing clubs and societies. While these clubs and associations developed and expanded, so did the leadership skills among their youths in Perak. There has not been much discussions about youth development and issues related to youth clubs and associations prior to the Second World War. As such, this study attempts to demonstrate the importance and role of youth clubs and associations in Perak that served as a vehicle in shaping peoples’ perception prior to the Second World War.
The Economic Uncertainty with Money Demand: Empirical Evidence for Selected Developed and Developing Countries
Authors: Et.al Pei-Tha Gan
Published: April 2021

An important element of the empirical research on demand for money is that many published papers focus on common issues of economic activity rather than on economic uncertainty to identify a stable money demand function. Therefore, by encompassing economic uncertainty in money demand study cannot be used to disprove its precision simply because of model misspecification in general use and an intricate process of data collection. This paper uses a sample of four selected developed countries and five selected developing countries. By using the dynamic heterogeneous panel co-integration test of autoregressive distributed lag, this paper examines the money demand relationship that considering economic uncertainty and two additional control variables, namely exchange rate and inflation. The paper’s findings suggest that the economic uncertainty is an important explanatory indicator about unknown economic events that may assist in fine-tuning money demand stability, and that the exchange rate and the inflation rate roles as well as the income and the interest rate roles remain significant in the process of central bank’s monetary decision making, which eventually help to enhance money demand controls for a sensible monetary transmission mechanism.
Teacher Trainees’ Computer Self-Efficacy: Its Relationships towards Implementation of Blended Learning
Authors: Et.al Noraini Mohamed Noh
Published: April 2021

This study aimed to assessing the readiness level of Teacher Trainees (TT) or Guru Pelatih in applying the blended learning model in teaching and learning (T&L) at schools as well as identifying its relationship with teachers’ computer self-efficacy. This survey research was conducted on 201 teacher trainees who were completing their teaching practice in selected Malaysian schools. The study findings indicated that the teachers’ computer self-efficacy level (CSE) was moderate or they lacked confidence in using the learning platform Frog Virtual Learning Environment (Frog VLE) in their teaching activities. The teachers also were less involved in the implementation of blended learning which combined face-to-face learning with online teaching outside the classroom. There was a high positive relationship between teachers’ computer self-efficacy with the usage of blended learning. To ensure that teachers are competent in technology usage or any systems implemented by (KPM) at schools, the teacher trainees should be exposed directly to the current usage while at the university before they start their teaching practice at selected schools.
The Role of Shariah Supervisory Board in Legitimizing the Existence of Sudanese Islamic Banks through Social Responsibility Reporting
Authors: Et.al Azam Abdelhakeem Khalid
Published: April 2021

Purpose -This study empirically investigates the function of Shariah Supervisory Board (SSB) in legitimizing the social and ethical existence of Sudanese banks through the dissemination of data onIslamic social in annual reports.

Design/methodology/approach -The paper examines a panel dataset covering the period 2006 – 2015 through the use of disclosure index and content analysis from 150annual reports of Sudanese banks. The role of SSB is expressed from the aspects of Corporate Governance mechanisms (i.e. board size, independency, doctoral qualification, cross- directorship, and the overall effect of SSB mechanisms).The current study employs the multiple regression models by using STATA-13 statistical toolin answering the research questions.

Findings -The empirical results indicate that the board size, doctoral qualification, and cross-directorship of the members were positively correlatedwith the disclosure degree of Islamic Corporate Social Responsibility (ICSR) in the annual reports of Sudanese Islamic banks, which is in favour of legitimacy theory. Meanwhile, results indicate that, in contrary to legitimacytheory’s assumptions,the independence of SSB members is found to negatively correlate with the ICSR level of disclosure of the sampled Sudanese banks’ annual reports. Furthermore, the overall effects of SSB mechanisms are found to positivelyimpact the ICSR disclosure level. The study’sfindings add new empirical evidence to support the view that social information disclosure by companies is influenced by country- cultural context within which the company operates.

Theoretical implication - In theory, this paper offers an analysis on CSR in Sudan from Islamic point of view. This paper is vital in view that social responsibility is highly regarded by Islam. Therefore, social responsibility must be adopted by all Islamic organizations, particularly the Islamic banks.

Originality/value – From the researchers’ perspective, this study is the pioneer thatinvestigates the role of SSB on Sudanese Islamic banks through social responsibility reporting using legitimacy theory.
The Mirror of Malaysia Real Estate Investment Trust Stock Return in the Short-Run Dynamics
Authors: Et.al William Choo Keng Soon
Published: April 2021

The formation of Islamic capital market under the subcomponent of Islamic financial system scratch a milestones development of Islamic finance in Malaysia. The Islamic capital market operates in mirror with convention capital market in expending, deepening and broadening Malaysia financial system. Malaysia is one of the REIT markets that value both the Islamic and conventional practices, such flexibility makes the attract not only to the local investor but also Islamic investors and foreign investor. The major source that generates income for REIT is the rental of the commercial real estate invested and hold as portfolio by the REIT management company. Furthermore, Malaysia REIT is known to be defensive stocks which consist of cyclic income producing assets that has some potential of asset appreciation. On the other hand, it witnessed by the moderation of Malaysia government bond yields created a lower pressure on the REIT stock price and analyst’s report highlighted the uncertainties on global crude oil prices and inflation is main concerned to REIT investors. In addition, the revision of 2019 tax system in Malaysia furnished a long run affected the dividend payout and volatility of REIT stock price. Therefore, this impact on the REIT stock liquidity and trading volume experiencing anil liquid trading. Therefore, the impact of external forces towards the mirror of two type of Malaysia REITs is significant to the investors, policy makers and government to outline the short-run relationship and facilitate future growth. The Vector auto regression model, granger causality and variance decomposition employed in this study to analyze the mirror of two types Malaysia REIT stock return. The empirical finding shows that the variability of dividend yield is vital explanatory variables to explain the both type of REIT stock return in Malaysia followed by interest rate for Islamic REIT stock return. The mirror of conventional REIT further implicated that trading volume and global crude oil price are useful to forecasting the changes in the stock return. Nutshell, this study provides a discussion of Malaysia REIT stock return behavior and it should be given necessary attention by researchers in ensuring the newly develop Islamic REIT are competitive and stability as the conventional REIT.
Implementation and Design of Wireless IoT Network using Deep Learning
Authors: Et.al S.V.Manikanthan
Published: April 2021

The Internet of Things (IoT) is a technology and plays a key role in just this process. In designing better cities,embedded devices include this new technology, which the internet is similar to everybody. IoT solutions are spread through different regions, such as agriculture, healthcare, the motor industry, education, and home automation, etc. wireless communication (WC) is now becoming an efficient role for incorporating wireless communicationenvironment, computers, organizations, and governments. WC is a budding technology in IoT, and it involves further learning. This dilemma motivates the authors to suggest a standardized IoT WC system. The formation is subdivided into four tiers, according to the  IoT architecture. The initial two steps concentrate on the design of Sensors and gateways; cloud integration is identified in the third stage, the server configuration is discussed in the fourth stage, and cloud integration is listed in the third stage user interface is seen in the fifth stage. Proposed, hence, the solution enables the IoT application developer's work. The design using the clean energy consumption case study. Sensors and Raspberry pi are used in the application to quantify and then provide electricity usage using wireless communication between the devices consumed by the home or building. This provides the client with a rising knowledge of the pattern of power consumption and the usage of electricity using Recurrent Neural Network(RNN).
Network Factor Impactto Muslim SMEs Success: Religious Practice as Moderator
Authors: Et.al Nadratun Nafisah Abdul Wahab
Published: April 2021

This study set out to presents the results of an empirical study of the the relationship betweennetworking to Muslim SMEs success and Islamic practice as moderator. Recent studies have not been able to establishIslamic practices as a moderator especially for Muslim SMEs success. Therefore, a study was conducted on 122 successful Muslim SMEs (business over three years) under PUNB (Perbadanan Entrepreneur Nasional Berhad) using simple random sampling method and data were analyzed using PLS software (Partial Least Squares). The results show that network factor have a relationship on the Muslim SMEs success and Islamic religious practice factor moderate this relationship. This finding has a significant impact on Muslim SMEs as network factors and religious practice factors need to be taken into consideration by entrepreneurs and agencies involved with SMEs
CSR and Legitimacy of Indonesian Islamic Banks
Authors: Et.al Adi Susilo Jahja
Published: April 2021

Every bank needs to strengthen their society's acceptance to exist and grow in the long term. As a country with the largest Muslim population, Islamic banks’ market share in Indonesia is still relatively small. These banks should obtain legitimacy from stakeholders for business continuity and growth. To ensure legitimacy, the impact of all of the corporation's activities on society's welfare is a significant concern. Several studies showed that CSR activities are needed to increase legitimacy. However, previous studies regarding CSR and legitimacy mostly used the positive paradigm, and mostly conducted in Western societies. Since the discussion on this matter in Islamic banking in Indonesia is not yet found, this study aims to understand how Islamic banks in Indonesia implement CSR to gain legitimacy using an Islamic perspective. This research is based on the ontology that reality is constructed by business actors who implement CSR programs. A qualitative case study is used by interviewing practitioners who are in charge of CSR programs in the two largest Islamic banks in Indonesia and supported by banks’ reports. This study reveals how legitimacy is achieved in the context of an Indonesian Islamic bank.
Citizenship Education for the Fourth Industrial Revolution
Authors: Et.al Nur Atiqah Tang Abdullah
Published: April 2021

This chapter explores Citizenship Education in Malaysia in the context of its current experiences as we approach the era of Fourth Industrial Revolution. As a cultural discourse, the problematic conception of citizenship is a product of social fragmentation in Malaysia. Citizenship can carry two meanings - legal and sociological. The legal simply refers to a subject’s right and duties to be recognized as a legally permanent inhabitant of a state. Secondly, the development of citizenship, understood in sociological terms, would involve a transformative process in which individuals come to see themselves as part of a wider citizen body, to which they owe obligations involving duties as well as having rights. As such, ‘citizenship’ in this chapter refers to an educational process: learning and teaching to improve or achieve the aims inherent to the legal meaning. The objective of this chapter is to pull together citizenship and education as central themes, - not legal but the sociological aspects, with the ‘nations-of-intent’ as a conceptual framework. Nevertheless, the present effort of citizenship education in Malaysia is based on a particular form of ‘nation-of-intent’ (Bangsa Malaysia). As nation-building in Malaysia is a state without a nation (and it has many nations-of-intent), the present effort does not include ideas to the nation when promoting citizenship education- the notion of ‘equality in diversity’ and not only ‘unity in diversity’. The concept of citizenship and citizenship education in Malaysia is prompting only one form of ‘nation-of intent’ available in the country, whereas, there are other nations as well, apparently. An implication of it is that the concept of citizenship and thus, nation-building in Malaysia is still fraught with confusion. The presence of plurality of ‘nations-of-intent’ in contemporary Malaysia demonstrates the fact that dissenting voices are present and heard, within and without government. To some degree, it is necessary, for the underlying reason that the identification and sense of belonging of individuals and communities themselves are fragmented, not necessarily conducive to the knowledge of national unity. Hence, in the context of the Fourth Industrial Revolution, there is a need to clarify and explore the meaning of citizenship in diverse and democratic Malaysian as a nation-state, the multiple views of citizenship and the dimensions of citizenship education.
Development of Micro, Small, Medium Enterprices Intellectual Property Rights as Fiducia Guarantee Object in Credit Agreement in Banking Institutions in Indonesia
Authors: Mashdurohatun Anis
Published: April 2021

Intellectual Property as a material right can be used as a fiduciary guarantee. This study aims to analyze the factors that influence banking institutions not yet utilizing the MSMES IPR as a fiduciary guarantee in credit agreements at the banking institution and to know the obstacles of the MSMES IPR as an object of fiduciary security and the Development of the Intellectual Property Rights of the MSMES as an object of fiduciary collateral in the credit agreement at the banking institution in Indonesia. The method of approach in this research is sociological juridical. Data collection was carried out with literature and field studies (through observations, questionnaires and interviews) of intellectual property holders and banking institutions. Data analysis was performed using qualitative descriptive analysis. The research found that factors affecting banking institutions not yet utilizing MSMES IPR as a fiduciary guarantee in Indonesia are due to the absence of standardization of assessments or determining the nominal value of IPR, regarding the risk of fluctuations in value of IPR, there is no market (seller and buyer) of IPR and procedures or mechanisms Execution of Execution of IPR guarantees. Development of Intellectual Property Rights of MSMEs as Fiduciary Objects in Credit Agreements in Banking Institutions in Indonesia, several things need to be strengthened in legal substance, Establishment of IP IPR Institutions, Notaries in making deeds, registrations and fiduciary certificates of MSMES IPR through the Ministry of Law and Human Rights, MSMES IPR Execution, Companies / individuals who will buy IPRs and Insurance Institutions as guarantors as well as the legal culture of IPR SMEs.
The Similarity of Essay Examination Results using Preprocessing Text Mining with Cosine Similarity and Nazief-Adriani Algorithms
Authors: Et.al Rika Rosnelly
Published: April 2021

Exams are one way to measure the level of students' ability to participate in learning. One type of exam given to students is the essay type. This study focuses on making automatic assessments for essay-type exams using cosine similarity. This method has several stages such as folding Case, tokenizing, filtering, stemming, analyzing, weighing of words in documents with cosine similarity. The stemming process uses the Nazief & Adriani algorithm. The results of this study are to conclude that the choice of words that are considered as keywords in the answer key greatly affects the results of the system's assessment. This is evidenced by testing applying the cosine law of 89.5%. However, there are several types of questions that are significantly different because there are unique characters in the database and answer keys that do not contain keywords that match the correct answer.
Development of Chicken Nutritional Quality Classification Methods and Algorithms Eggs Based on Characteristics of Yellow Eggs
Authors: Et.al Juli Yanto
Published: April 2021

In order to sustain human life, food is a very necessary material, since the human body requires nutrition to be used in everyday activities. In this case, eggs are among the nutritional intake, a protein that is commonly consumed by the community, particularly native chicken eggs that are available quite a lot. The nutritional quality does have beneficial advantages for the human body in all areas of the egg. In eggs, 10.8 percent of the protein content the body requires is in egg whites and 16.3 percent in egg yolks. The consistency of the egg is defined by the yolk color strength. The principal characteristic of egg quality is the yolk color. There are three basic forms of widely discovered shades of egg yolk. Pale yellow, plain yellow and orange yellow. Vitamin A, vitamin B2, folic acid, vitamin B6, and vitamin B12, iron, calcium, phosphorus, potassium, and cholesterol are rich in vitamins and minerals in egg yolks. Using the object image of 30 egg yolks, the preprocessing process with the background image is then uniform in size and then grouped by color-dependent characteristics so that the nutritional quality can be identified and the attribute extract is grouped using matlab based on sample testing at the Broad Research and Implementation of Biotechnology BPPT Testing Laboratory The convolutional process of neural networks. Development of characteristic digital image-driven extraction of chicken egg yolk and implementation of nutritional quality grouping of eggs based on characteristic colour extraction of egg yolk. In yellow colour, chicken offers 94% similarity.
Awareness of E-Cigarettes among Student in Malaysian Public University
Authors: Et.al Rafidah Abd Razak
Published: April 2021

Purpose: The intention of this research is to develop understanding of e-cigarette awareness towards students in university. Method: The data collection method used in this study is online survey using Google form applications via social media platforms. The respondents consist of 304 students from Malaysian public university located in north Malaysia. This survey consists of 14 questions including the demographic question. Result: Most of the respondents (n = 304) were aware of the impact of e-cigarettes and 124 (40.79 percent) had used an e-cigarette previously. E-cigarette awareness is also high among female students compared to male students.Conclusion: Importantly, attention needs to be paid to the use of e-cigarettes. Besides that, government law enforcement needs to be restructured to monitor the e-cigarette product from direct to adult access. Institutions also need to play a role in exposing students to awareness of e-cigarettes by increasing awareness programs. Overall, this study suggests a further research on this area to be conducted in a large scope of population in Malaysia and demographic locations.
DIGITAL MARKETING A CATALYST IN CREATING BRAND IMAGE THROUGH CUSTOMER
Authors: Et. al. Dr.Ennala Deepa,
Published: April 2021

A famous quote says “Content is fire; social media is gasoline (by Jay Baer). If the product has content and the same can be marketed through various digital sources this will enhance the sales of the company. Through digital marketing nowadays marketers are building relationships through links. This paper speaks in point by point about computerized way of promoting the development and different instruments. Contrast between conventional promoting and advanced showcasing is additionally appeared, how digital marketing can help in making brand with the assistance of different devices getting associated. Brand creation is finished remembering the client, the paper discusses different advances associated with making brand through digital marketing.
A STUDY ON MATHEMATICAL AND STATISTICAL ASPECTS OF LINEAR MODELS
Authors: Et. al. K.Lakshmi,
Published: April 2021

The primary objective of this research article is to present the mathematical and statistical aspects of linear models and their characteristic properties. Linear model is the most common modeling used in science. Actually linear models have many different meanings depend on the context. Linear model is often preferred than other model such as quadratic model because of its ability to interpret easily. In the other hand most of the real life cases have linear relationship .Modeling the cases using linear model will able us to determine the relative influence of one or more independent variables to the dependent variable. In the present talk an attempt has been made to propose the specific forms of simple and multiple linear regression models. In this conversation mathematical aspects of linear models have been extensively depicted. Different types of mathematical models are discussed here and the methods of fitting transformed models are proposed.Furthermore specific form of linear statistical model is presented and the crucial assumptions of general linear model are extensively discussed.At the last stage of this article the method of ordinary least squares estimation of parameters of a linear model has been proposed
ON SOME BOUNDS OF THE MINIMUM EDGE DOMINATING ENERGY OF A GRAPH
Authors: Et. al. A.Sharmila ,
Published: April 2021

Let G be a simple graph of order n with vertex set V= {v1, v2, ..., vn} and edge set  E = {e1, e2, ..., em}. A subset  of E is called an edge dominating set of G if every edge of  E -  is adjacent to some edge in  .Any edge dominating set with minimum cardinality is called a minimum edge dominating set [2]. Let  be a minimum edge dominating set of a graph G. The minimum edge dominating matrix of G is the m x m matrix defined by

G)= , where  =

The characteristic polynomial of is denoted by

fn (G, ρ) = det (ρI -  (G) ). 

The minimum edge dominating eigen values of a graph G are the eigen values of (G).  Minimum edge dominating energy of G is defined as

                (G) =   [12]

In this paper we have computed the Minimum Edge Dominating Energy of a graph. Its properties and bounds are discussed. All graphs considered here are simple, finite and undirected.