bluuebunny/crossref_metadata_2025 huggingface dataset:
Facial Emotion Based Music Recommendation System using computer vision and machine learning techiniques
Authors: Et. al. ShanthaShalini. K,
Published: April 2021

The face is an important aspect in predicting human emotions and mood. Usually the human emotions are extracted with the use of camera. There are many applications getting developed based on detection of human emotions. Few applications of emotion detection are business notification recommendation, e-learning, mental disorder and depression detection, criminal behaviour detection etc. In this proposed system, we develop a prototype in recommendation of dynamic music recommendation system based on human emotions. Based on each human listening pattern, the songs for each emotions are trained. Integration of feature extraction and machine learning techniques, from the real face the emotion are detected and once the mood is derived from the input image, respective songs for the specific mood would be played to hold the users. In this approach, the application gets connected with human feelings thus giving a personal touch to the users. Therefore our projected system concentrate on identifying the human feelings for developing emotion based music player using computer vision and machine learning techniques. For experimental results, we use openCV for emotion detection and music recommendation.
Results on a Chromatic Number of a Bi-polar Fuzzy Complete Bipartite Graphs and Labelling of Tri-Polar Fuzzy Graphs
Authors: Et. al. Remala Mounika Lakshmi,
Published: April 2021

The ultimate objective of a piece of research work is to present the labelling of vertices in 3-PFG and labelling of distances in 3-PFG. Also, we characterize some of its properties. Later, we define the vertex and edge chromatic number BF- Complete Bipartite graph. Further we illustrated an example for BFRGS which represents a Route Network system.
A Hybrid Black Hole Algorithm with Genetic Algorithm for Solving Data Clustering Problems
Authors: Et. al. Ahmed I. Taloba ,
Published: April 2021

Clustering is a process of randomly selecting k-cluster centers also grouping the data around those centers. Issues of data clustering have recently received research attention and as such, a nature-based optimization algorithm called Black Hole (BH) has said to be suggested as an arrangement to data clustering issues. The BH as a metaheuristic which is elicited from public duplicates the black hole event in the universe, whereas circling arrangement in the hunt space addresses a solo star. Even though primordial BH has shown enhanced execution taking place standard datasets, it doesn't have investigation capacities yet plays out a fine local search. In this paper, another crossover metaheuristic reliant on the mix of BH algorithm as well as genetic algorithm suggested. Genetic algorithm represents its first part of the algorithm which prospects the search space and provides the initial positions for the stars. Then, the BH algorithm utilizes the search space and finds the best solution until the termination condition is reached. The proposed hybrid approach was estimated on synchronized nine popular standard functions where the outcomes indicated that the process generated enhanced outcome with regard to robustness compared to BH and the benchmarking algorithms in the study. Furthermore, it also revealed a high convergence rate which used six real datasets sourced of the UCI machine learning laboratory, indicating fine conduct of the hybrid algorithm on data clustering problems. Conclusively, the investigation showed the suitability of the suggested hybrid algorithm designed for resolving data clustering issues.
A Review on Design and Development of Performance Evaluation Model for Bio-Informatics Data Using Hadoop
Authors: Et. al. Ravi Kumar A,
Published: April 2021

The paper reviews the usage of the platform Hadoop in applications for systemic bioinformatics. Hadoop offers another system for Structural Bioinformatics to break down broad fractions of the Protein Data Bank that is crucial to high-throughput investigations of (for example) protein-ligand docking, protein-ligand complex clustering, and structural alignment. In specific, we review different applications of high-throughput analyses and their scalability in the literature using Hadoop. In comparison to revising the algorithms, we find that these organisations typically use a realized executable called MapReduce. Scalability demonstrates variable behavior in correlation with other batch schedulers, particularly as immediate examinations are usually not accessible on a similar platform. Direct Hadoop examinations with batch schedulers are missing in the literature, but we note that there is some evidence that the scale of MPI executions is better than Hadoop. The dilemma of the interface and structure of an asset to use Hadoop is a significant obstacle to the utilization of the Hadoop biological framework. This will enhance additional time as Hadoop interfaces, such as enhancing Flash, increasing the use of cloud platforms, and normalized approaches, for example, are taken up by Workflow Languages.
Dileanation And A Role Of Mainstream To Dalit Feminism
Authors: Et. al. Swapna Emmadi ,
Published: April 2021

Dalit women have long occupied marginal positions and been excluded from two major Indian social movements: The Feminist Movement and the Dalit Movement. The researcher examines how Dalit women have made creative use of their marginality—their ‘outsider-within' status—and have represented their lived experiences. The study scrutinizes select life narratives of Dalit women writers: Bama's Sangati: Events (2005), Urmila Pawar’s The Weave of My Life (2015), and Baby Kamble’s The Prisons We Broke (2008) to discuss and explore the sociological significance of three characteristic themes in these narratives: (1) the interlocking nature of Dalitwomen’s oppression, (2) endurance and resilience, (3) their role in the transformation of the Dalit community. Thus, the perspectives of Dalit women writers create new knowledge about their lives, families, and communities. Their perspectives may well provide a preparatory point for the development of the Dalit Feminist Standpoint.
A Deep Learning method for effective channel allotment for SDN based IOT
Authors: Et. al. Shilpa P Khedkar,
Published: April 2021

Due to advances in the field of internet of things (IoT), the transmission speed become very important and need to be discussed. Doing proper assignment of appropriate channels to the generated traffic in SDN based IoT can affect transmission speed enormously. Software Defined Networking has been evolved as a supporting technology to improve the performance of IoT networks and to increase transmission quality. Different machine learning algorithm can be used for prediction of network traffic and allocation of the channel is done for better assignment. Hence, in this paper CNNs based network traffic prediction and allocation of channel technique is proposed. This technique significantly improves the network performance.
Applying Ensemble Learning Algorithm in Early Prognosis of Heart Illness
Authors: Et. al. Lijetha.C. Jaffrin,
Published: April 2021

Medical diagnosis and treatment of diseases are the key elements of machine learning algorithms nowadays. To find similarities between various diseases, machine learning algorithms are used. Many people are now dying due to sudden heart attacks. Predicting and diagnosing heart disease is a daunting aspect faced by physicians and hospitals around the world. There is a need to foreknow whether or not a person is at risk of heart syndrome in advance, in order to minimize the number of deaths due to heart disease. In this field, machine learning algorithms play a very significant role. Many researchers are carrying out their research in this field to create software that can assist doctors to make decisions about cardiac illness prognosis. In this paper, Random Forest and AdaBoost ensemble Machine Learning Procedures are used in advance to predict heart disease. The datasets are handled in python programming by means of Anaconda Spyder IDE to validate the machine learning algorithm.
Confidential data sharing in cloud with secured IOT Assistance
Authors: Et. al. M. Hemasri a
Published: April 2021

The always developing number of Internet associated gadgets represents a few network safety chances. A large portion of the traded information between the Internet of Things (IoT) gadgets are not enough gotten because of asset limitations on IoT gadgets. Quality Based SignCryption (ABSC) is an incredible cryptographic system reasonable for dispersed conditions, giving adaptable access control and information mystery. Be that as it may, it forces high plan grave particle costs, and doesn't uphold access strategy update (client expansion/disavowal). This paper presents PROUD, an ABSC arrangement, to safely re-appropriate information design cryption cycle to edge workers to diminish the calculation overhead on the client sides. Pleased permits end-clients to offload the vast majority to an edge worker and check the accuracy of the got halfway design crypted information from the edge worker. The entrance strategy update include in PROUD doesn't influence the size of the message got by the end customer which decreases the information move limit and the limit purposes. Our complete hypothetical, trial investigation demonstrates that the beats existing plans regarding usefulness, correspondence and calculation.
ECG Denoising Using Artificial Neural Networks and Complete Ensemble Empirical Mode Decomposition
Authors: Et. al. Rajesh Birok,
Published: April 2021

Electrocardiogram (ECG) is a documentation of the electrical activities of the heart. It is used to identify a number of cardiac faults such as arrhythmias, AF etc.  Quite often the ECG gets corrupted by various kinds of artifacts, thus in order to gain correct information from them, they must first be denoised. This paper presents a novel approach for the filtering of low frequency artifacts of ECG signals by using Complete Ensemble Empirical Mode Decomposition (CEED) and Neural Networks, which removes most of the constituent noise while assuring no loss of information in terms of the morphology of the ECG signal. The contribution of the method lies in the fact that it combines the advantages of both EEMD and ANN. The use of CEEMD ensures that the Neural Network does not get over fitted. It also significantly helps in building better predictors at individual frequency levels. The proposed method is compared with other state-of-the-art methods in terms of Mean Square Error (MSE), Signal to Noise Ratio (SNR) and Correlation Coefficient. The results show that the proposed method has better performance as compared to other state-of-the-art methods for low frequency artifacts removal from EEG.
Colour Visual Cryptography (3,3) Scheme
Authors: Et. al. Mandru Manisha,
Published: April 2021

Visual Cryptography is an encryption technique which performs only encryption in cryptography, and it is used to encrypt every visual data. And this cryptography is different and unique in all cryptographic techniques, because of not performing decryption process mechanically, and that is done mechanically. In normal visual cryptography only black and white images are encrypted. In this paper we propose a different type of visual cryptography scheme for colour imagesin CMY format. And it protects the secret of the original image and no other techniques does not decrypt it except our decryption technique.
Hadoop Job Scheduling Using Improvised Ant Colony Optimization
Authors: Et. al. G. Joel Sunny Deol,
Published: April 2021

Hadoop Distributed File System is used for storage along with a programming framework MapReduce for processing large datasets allowing parallel processing. The process of handling such complex and vast data and maintaining the performance parameters up to certain level is a difficult task. Hence, an improvised mechanism is proposed here that will enhance the job scheduling capabilities of Hadoop and optimize allocation and utilization of resources. Significantly, an aggregator node is added to the default HDFS framework architecture to improve the performance of Hadoop Name node. In this paper, four entities viz., the name node, secondary name node, aggregator nodes, and data nodes have been modified. Here, the aggregator node assigns jobs to data node, while Name node tracks aggregator nodes. Also, based on the job size and expected execution time, an improvised ant colony optimization method is developed for scheduling jobs.In the end, the results demonstrate notable improvisation over native Hadoop and other approaches.
Influencing Factors for Internet Banking Adoption using Analytical Hierarchy Process (AHP) Approach
Authors: Et.al Khairi Azhar Aziz
Published: April 2021

Internet banking is an online financial transaction approach that uses internet as the platform. Customers could perform their transactions anywhere and anytime. Current extensive researches from the literature have analyzed and investigated on various factors related to the internet banking adoption. Drawing from the various theories associated with acceptance model, this paper will combine these various predetermined factors into one model. Analytical Hierarchy Process (AHP), method was adapted in identifying the relevant multiple factors for the model. AHP is the best technique to use for mathematical calculation, to allow decision makers to prioritize their ranking to fit and resolve multiple criteria. The purpose of these paper is to prioritize the influencing factors to use internet banking. Based on the literature review, three main factors namely technical information, website and service availability had been identified as the main construct of the model and the sub factors were communication, responsiveness, privacy, ease of use, security, reliability and efficiency had been proposed into one integrated framework. These factors were identified by using Systematic Literature Review (SLR) methodology. Hence, the paper will deepen the understanding of the specific factors underpinned in the study of internet bankingadoption.
Investigation of Electrical Interference towards Phosphene-Based Walking Support System
Authors: Et.al Manami, K
Published: April 2021

A walking support system with phosphenes for blind people has been investigated. Phosphene is a phenomenon where a flash of light is recognized in the brain by giving an electrical stimulus to human’s visual pathway. Phosphenes can be perceived even if their eyes are closed or they are blind. It has been clarified that phosphenes can be induced to several directions if electrodes placements are precisely selected. When phosphenes are presented to two directions for recognizing two obstacles, two pairs of electrodes must be applied. In such a case, however, the electrical interference occurs due to the short distance between electrodes. In the practical use of the phosphene-based walking support system, the avoidance of electrical interference is significant in order to present the phosphenes precisely. Therefore, in this paper, we first practically investigate the electrical interference by considering the difference in phosphene induction generated by a single pair of electrodes and by two pairs of electrodes. Then, the solutions to avoid the electrical interference are discussed.
Comprehensive Corporate Governance Mechanism and Disclosure Quality: Evidence from the United Kingdom
Authors: Et.al Nooraisah Katmon
Published: April 2021

Our study empirically examines the relationship between corporate governance and disclosure quality from the context of the United Kingdom. While studies on corporate governance and disclosure quality are extensive, we argue that only limited studies have utilised analyst forecast accuracy as a proxy for disclosure quality. We concentrateon the analyst forecast accuracy since we value the credibility of financial analysts in forecasting the firm’s earnings. Analyst are the expert users of the firm’s information and they rely on their analysis to predict firm’s earnings as well as to make a recommendation. We derived our sample from the analyst perception on the firms with high quality of disclosure that is the Investor Relation (IR) Magazine Award. Specifically we used 127 match-paired sample (i.e., winners and non-winners) of IR Magazine Award during the year 2005-2008. We measure corporate governance using board characteristics, audit committee characteristics, chairman and audit committee multiple directorships, chairman tenure and institutional ownership. Our findings report that multiple directorship by audit committee consistently increases disclosure quality. This suggest that the multiple directorships held by audit committee in other firms potentially improve their knowledge and experience in improving the quality of disclosure.Moreover, the result also shows a negative association between audit committee financial expertiseand board independent on the extent of quality of disclosure. These findings imply that the appointment of audit committee with financial expertise as well as an independent directors are merely a ticking the box activities, thus it appears in the letter form, but not in spirit. Our results are robust across various estimation, alternative measurement as well as endogeneity test that we have conducted.
A Differentiation of Gifted and Talented Singers
Authors: Et.al Mohd Azharabu Bakar
Published: April 2021

This journal purposes on the studies of correct vocal singing techniques and knowledge sharing information. The methodology used in this study was throughacquiring vocal aesthetics and improvisations in singing skills from gifted singers derived through interviewsfromsome of Malaysia’s mostgifted stars.The discovery of this study with regards to theanalysis on the differentiation of vocal characteristic aims to indicate positive and innovative results against negative and stereotype emulated singing of amateur singers.Through the findings of this research, amateur and aspiring new singers shall be able to learn to sing and perform properly.  The main findings and results aretabled from the top to the least based on important tips like feel, innovative methods, techniques and creativity invarious singing performances. Practical contribution of this study will be a useful guideline not only to artistes but vocal teachers and record companies.This journal purposes on the studies of correct vocal singing techniques and knowledge sharing information. The methodology used in this study was throughacquiring vocal aesthetics and improvisations in singing skills from gifted singers derived through interviewsfromsome of Malaysia’s mostgifted stars.The discovery of this study with regards to theanalysis on the differentiation of vocal characteristic aims to indicate positive and innovative results against negative and stereotype emulated singing of amateur singers.Through the findings of this research, amateur and aspiring new singers shall be able to learn to sing and perform properly.  The main findings and results aretabled from the top to the least based on important tips like feel, innovative methods, techniques and creativity invarious singing performances. Practical contribution of this study will be a useful guideline not only to artistes but vocal teachers and record companies.
A Review of Maslahah Mursalah and Maqasid Shariah as Methods of Determining Islamic Legal Ruling
Authors: Et.al Muhammad Nazir Alias
Published: April 2021

The position of maqasid shariah as reference for Islamic legal ruling has been a source of dissenting opinions among contemporary ulama. Some of them accept maqasid shariah as a method of determining legal principles, whereas others do not. In classical usul fiqh literature, the discourse on maqasid shariah among the ulama only appears in discussions on the position of maslahah mursalah as a method of determining Islamic legal ruling. In light of this, the issue arises when the position of maqasid shariah, specifically as a source of law, is not mentioned by classical ulama. Therefore, a small number of scholars are of the view that maqasid Shariah is not clearly applied in the process of determining legal ruling, such as what had happened in the Shafie school of law. This article aims to review the concept of maslahah mursalah and maqasid shariah in the context of its status as a method of determining Islamic legal ruling. The findings of the study show that maslahah mursalah is not maqasid shariah because both of them originate from different sources. The rejection of maslahah mursalah by some ulama does not refer to maslahah that is in line with the higher objectives of Islamic law (maqasid shariah), but refers to maslahah that relies solely on logic and intellect. The difference of opinion among contemporary ulama regarding the position of maqasid shariah as a method of determining legal principle stems from confusion in defining and categorising maslahah mursalah and maqasid shariah.
FPGA Implementation of Proficient 16-Tap FIR Filter Design Using Decision Tree Algorithm
Authors: Et.al A Murali
Published: April 2021

Lately, channel is one of the key components in signal handling applications. Among different channels, Finite Impulse Response (FIR) channel is broadly utilized in Digital Signal Processing (DSP) applications for shifting/denoising. For enormous scope coordination (VLSI) execution of fixed-coefficient FIR channels, huge asset used customary multipliers that can be acknowledged by a solitary steady multiplication (SCM) and numerous consistent augmentations (MCM) square utilizing movement and include/take away tasks. For a proficient execution, a variable size apportioning approach is proposed in direct structure channel structure that devours less zone and 11% of decrease in basic way delay, 40% decrease of all out force utilization, 15% decrease of zone delay product(ADP), 52% decrease of vitality delay product(EDP), and 42% decrease of intensity territory product(PAP), on a normal, over the cutting edge techniques. In this paper, a state choice tree calculation is proposed to decrease unpredictability in channel tap cells of variable size apportioning approach. The proposed plot creates a choice tree to perform move and expansion/deduction and aggregation dependent on the consolidated SCM/MCM approach. This plan diminishes the quantity of postpone registers required for tab cells. The proposed snake design will be actualized in Xilinx Zed, Spartan and Virtex devices and Area, power and speed investigation will be performed
Squeeze Casting of Sic,Fly-Ash Reinforced Aluminium Alloy Hybrid Composites-A Review
Authors: Et.al Maraparambil Ramachandran
Published: April 2021

Aluminum alloys reinforced composite materials have been widely used in automobile, aeronautical and other commercial applications. Aluminum composites are light weight material with high specific strength, specific modulus, stiffness, heat resistant,eco-friendly and have extreme properties so used in large volumes. Due to these circumstances;we have to reduce the price and weight of the composites, improve and increase physical and mechanical properties. One of the ways to reduce the cost of composites is reducing the cost of reinforcement by using cheap, weightless, and easily available materials like fly ash and improving the properties by adding sic. These properties are achieved through the properties intrinsic in them and the size, shape, orientation, weight and distribution.

Several casting methods are used by the industries to manufacture the composite products, and each casting method has its own pros and cons. In traditional process, defects of pore formation due to gas, shrinkage porosities are regular and these defects decrease the mechanical properties and integrity of the end product. To overcome such defects,comparatively better squeeze casting method can be implemented.
A Comparative Analysis of Artificial Neural Network and Deep Learning Techniques in Heart Disease
Authors: Et.al Abhishek Saxena
Published: April 2021

The use of Computers has made the drastic change in the lifestyle of human beings, by making them dependantto solvemany complex applications which was unable to solve him previously. There are many real time applications which needs the joint interaction of human &machine to obtainthe results in fruitful manner. The Artificial Neural Network which is based on the concept of biological brain plays a major role in this, but still suffers from many limitations. To overcome this, a new approach called Deep Learning, based on same human biological systemslike Artificial Neural Network, came into existence to find the best solution in the field of medical science. The main aim of this papers is to review the comparative analysis ofthese two techniques being used in the detection of Heart Disease.
Image Encryption Using RK-RSA Algorithm in Aadhaar Card
Authors: Et.al R. Felista Sugirtha Lizy
Published: April 2021

Cryptography is used for secretly sending information. The information or given data is protected by cryptographic technique. The technique is used in Text and images. The technique is supported by a lot of algorithms. RSA is a better encryption technique for smart cards. In this paper, an image in the Aadhaar card is encrypted using the RK-RSA algorithm for better protection and confidentiality. The proposed RK-RSA algorithm is very secure for smart cards and Aadhaar cards. The better performance of the RK-RSA is evaluated based on the Avalanche Effect, Speed, Throughput, and Power Consumption. The improved performance of the RK-RSA algorithm’s experimental results is reported. The mathematical justification supporting the RK-RSA algorithm is also detailed.
Using Forum Theatre to Develop Various Levels of Thinking Skills among Moral Education Students in Secondary School
Authors: Et.al Nadarajan Thambu
Published: April 2021

Purpose –The power of forum theatre in education and various field is well known by educators. However, the use of forum theatre in Malaysia, particularly in the field of moral education, is still lacking and limited. At the same time, the development of thinking skills is one of the aims of the moral education curriculum in Malaysia. Therefore, the purpose of this study was to examine the use of forum theatre as a pedagogical tool in developing various levels of thinking skills among moral education students.

Method –This study adopted a qualitative research design and was underpinned by Bloom’s revised taxonomy as the theoretical and analytical framework. A total of 14 moral education students participated in this study. Data were collected qualitatively using classroom observation, interviews, and journal writing. Thematic analysis was utilized to analyse and present the findings.

Findings –The findings of this study reveal that various theatrical activities that underpinned the four elements of forum theatre-(i) writing a script, (ii) delivering a dialogue in an anti-model play, (iii) discussion and decision-making in a forum session, and (iv) improvisation in an intervention play-show the development of students’thinking skill level such as analysing, evaluating, and creating skills. Therefore, this study suggests that forum theatre can be used in moral education pedagogy to enhance higher order thinking skills (HOTS).

Significance –Meaningful instructional pedagogy must inspire thinking skills to foster creativity and innovation among students. This is considered an important skill in 21st century learning. Therefore, these findings are beneficial for teachers, lecturers, parents, and instructional designers to plan and implement suitable teaching methods such as forum theatre to empower and improve students’ thinking skill levels.
Factors that Contribute to Rape in Malaysia
Authors: Et.al Mohd Al Faani Mokhtar Rudin
Published: April 2021

The development of social problems in Malaysia, especially that involving rape and sexual assaults, has seen a serious escalation. This study intended to determine factors that make adolescents vulnerable to rape. The methodology used in this study was the case study method. Nine trainees from the Adolescent and Children Protection Centre were chosen and interviewed as study samples. The NVivo 12 software was used to analyse the findings. This study found that seven factors had influenced the vulnerability of adolescents to rape, such as the victims themselves, parents, internet and technology, family background, education, peer influence as well as society and the government. Hence, this study has provided important information to all interested parties that can be helpful when planning preventive programs and treatments for cases related to rape
Population Levels of Well-Being In a Peri-Urban Area of a Metropolitan Region, A Case Study of Selangor Northern Corridor, Malaysia
Authors: Et.al Y. Saleh
Published: April 2021

This article seeks to identify the levels of well-being of residents of Selangor Northern Corridor, Lembah Klang-Langat Extended Metropolitan Region (EMR). The study involved 400 respondents consisting of the heads of household in peri-urban areas of Selangor Northern Corridor of Lembah Klang-Langat EMR. Respondents were selected via a simple random sampling method. A 1-5 Likert scale questionnaire was used as a research instrument. Based on the well-being index, a variety of variables involving well-being were listed, although the author of this study used four variables, namely housing, transportation, socioeconomic environment and land use. The housing variable consisted of three sub-variables, comprising area selection, safety and facilities. The transport variable included two sub-variables: public transportation and transportation network. The socioeconomic variables society and economy, while the sub-variables for land use were types of activities and property ownership. The study results indicate that the questionnaire’s reliability level was acceptable as the Cronbach’s alpha value of each variable exceeded 0.8. Transportation and socioeconomic environment stood at high levels, while housing and land use were at moderate levels. These findings demonstrate that the level of some of the community’s well-being was high or moderate due to urban sprawl. This means that humans will adapt to the environment in various ways so that it can accord with human needs.
The Effectiveness of Dakwah and Educational Activities in Science Tahfiz Schools
Authors: Et.al Abdul Munir Ismail
Published: April 2021

This study aims to examine the effectiveness of dakwah (missionary) and educational activities carried out in science tahfiz schools. This research was based on a qualitative approach carried out at the Science Tahfiz School, Tanah Merah, Kelantan, Peninsular Malaysia. The study sample consisted of 100 tahfiz students from year one to year five, whose ages ranged from 13 to 17 years. This sample was based on the random selection of 20 students from each of the five existing classes. The research instrument was based on a survey questionnaire consisting of 10 items to elicit information regarding respondents’ perceptions of the effectiveness of activities carried out in the program.  Respondents’ responses to each item of the questionnaire were rated along a five-point Likert-type scale ranging from ‘1’ (highly ineffective) to ‘5’ (highly effective). The researchers used the Statistical Package for Social Sciences (SPPS, Version 2.3) software to analyze the survey data. Overall, the research findings showed the dakwah (missionary) program was effective in improving tahfiz students’ understanding and knowledge of Islamic obligations as a pendakwah (a missionary). The students highly rated all the activities of the program based on high mean scores of the questionnaire items, especially those relating to Koranic recitation, prayers, and zikir (supplication). These findings underscore the importance of dakwah programs in helping to prepare tahfiz students as future leaders of Islamic missionary organizations. Hence, dakwah programs must be carried out in tahfiz schools to train the future generation of Islamic missionaries, who will continue the tradition of calling humans to become good practicing Muslims who enjoin what is right and forbid what is wrong. For this to materialize, such programs have to be well-planned, systematically organized, and coordinated with all relevant Islamic agencies or bodies.
A Systematic Review of Second Language Learning:Trends and Suggestions
Authors: Et.al Nor Anis Izzati Bt Muhamad Sahlan
Published: April 2021

This paper aims to investigate trends and suggestions related to second language pedagogical strategies. A total of 31 articles from both leading (Scopus and Taylor & Francis) and alternative (Google Scholar and MyCite) databases were selected and analysed. In answering the research question, the present study adopts the systematic literature review (SLR) method by incorporating in-depth Evaluation of past studies from 2015 to 2020. Therefore, the research divides second language pedagogical strategies into four trends, namely computer-assisted language learning, module-assisted language learning, student-centred language learning stylesand teacher-centred language learning. The findings indicate that computer-assisted learning comprising of module creation, e-learning and learning-based games are frequently used as the choice in tandem with the country’s education development. The study hopes that the acquired suggestion strategies are beneficial for stakeholders involved in second language learning education.
Pragmatic Marker as a Language Politeness Mitigating Device in Talk Show on Spiritual Genre
Authors: Et.al Husna Faredza Mohamed Redzwan
Published: April 2021

High level social communication skill involving language politeness is important in communications and as such, it cannot be ruled out. As such, this paper aimed to explore the function of the ya pragmatic marker as a tool for language politeness as well as its relationship with the usage of the language politeness strategy from the pragmalinguistic aspect. In this study, the researcher used the religious talk show programme hosted by ustazah (female religious teachers) in the context of examining the pragmatic marker. The particular religious talk show programme was produced by TV9 and it was titled Tanyalah Ustazah with the topic The Decency in Facing Difficulty ‘Kebaikan dalam Masalah’. The data acquired was then transcribed to enable the analysis process. The data was processed using the AntConc 3.2.4w software and later it was analysed using a qualitative method. Additionally, the ya pragmatic marker was also described based on the contemporary and authentic corpus data. The analysis was conducted using Brown and Levinson’s Politeness Theory (1987). The findings showed that the ya pragmatic marker in the religious talk show genre could function as a language politeness device.
Knowledge and Readiness of Preschool Teachers in Accepting Special Needs Children
Authors: Et.al Nurul Izzah Yusof
Published: April 2021

This research is conducted to observe the level of knowledge and readiness faced by kindergarten educators in accepting special needs children. This research aims to study the relationship between knowledge and readiness of kindergarten teachers towards their acceptance of students with special needs education. A quantitative approach was used by utilising observation method with non-random sampling in order to select the respondents. n=77 kindergarten teachers who are currently teaching children around the age of five to six at a preschool or kindergarten, regardless of whether it is a private or government school, were identified. The descriptive analysis presented that the mean value is high for every variable of readiness and knowledge of teachers in accepting children who require special education at their kindergartens. The Pearson correlation test was used to describe the relationship between the variables of readiness and knowledge. The result showed that there was a significant relationship between readiness, knowledge, and teachers’ acceptance towards children who require special education. The implication of this study hoped that every private and government kindergarten is able to fully accept special education children without any biases in order achieve the objective of Malaysia’s National Education Blueprint (MNEB). This is to ensure that inclusive education in early childhood education in Malaysia can be accomplished.
A Review on Dynamic Systems Theory and the Children’s Motor Development
Authors: Et.al Hazhari Ismail
Published: April 2021

Adopting Dynamic Systems Theory (DST) as a way of comprehendingthe development of human being reconciles many controversies as it reorganizes the conventional approach to knowledge processing, which involves understanding cognitive science in collecting information from the local environment. This study reviews the major contribution of the theory in the holistic thought about development and how it has been developed with the children’s motor skills development, also the strengths and limitations on the horizon from the theory basis.The beginning section explores on what way DST occurs in wider context within different fields, and next in the second section offers a detailed understanding of how DST involves the children’s motor skills development. It also evaluatesparticular examples which focus on the main DST concepts.The end section focuses on advantages and disadvantages where the theory is restricted for taking the works of extension which brings to the inference of this perspective for a new understanding in children’s development. Finally, it draws an explanation for behavioral changes that could be understood in which system motion is self-assembly and self-organizingwith the framework to achieve needed actions. DST is believed to provide the greatest contribution where it knows system stability where all system elements are constantly interconnected and communicate with other triggers both internally and externally.
Dynamic and Structure Profiling of Kampar River, Slim River and Sungkai River: White Water Recreation Rivers in the State of Perak, Malaysia
Authors: Et.al Jaffry Zakaria
Published: April 2021

In Malaysia, there are many rivers that are being the attraction for white water river activities. Perak, is a state on the west of Peninsular Malaysia has several rivers that are suitable for white water river activities and being among the favourite location for white water river activities enthusiasts. Among the well-known white water rivers in Perak state are Kampar River, Slim River, Sungkai River, Singgor River and Sungai Bernam River. The attraction of a white water  river  depends  on  several  factors.  One of the important factor is the classification of rapid difficulty level. To date, the classification of rapid difficulty level in Malaysia is based on the international standard scale and certified by The International Canoe Federation (ICF). Apart from that, other attraction factors such as river water quality, geographical location, logistics facilities, transportation access, facilities, operator reputations and promotions are among other attraction factors. This present study aims to identify the main attraction  factors  in  the white water rivers in  Perak  State.  Dynamic and structure profiling of the rivers was produced. The white water rivers selected in this study were Kampar River, Slim River and Sungkai River. From the study, Kampar River was identified to be the most preferred river for white water activities compared to Slim River and Sungkai River. Findings from the study was resourceful in the effort of constructing a complete profile of white water rivers structure located in the state of Perak besides promoting white water river activities as a structured recreational tourism activity in Perak.
The Ulul Albab Thinking Model for Student Development in Institutions of Higher Education
Authors: Et.al Ahmad Amri Zainal Adnan
Published: April 2021

This study aimed to explore and develop a framework of the Ulul Albab Thinking ​​Model that is suitable forundergraduates in Higher Education Institutions (HEI). The Ulul Albab is a specific concept derived from the Quran. The main source of references for the formation of the UlulAlbab mindset is the Quran, Hadith, and the views of Muslim clerics, in addition to studies and writings of Muslim scholars. However, since thinking is a universal concept, the study also adapts theories or models of thought derived from Western scholars that do not contradict the Islamic worldview. This Ulul AlbabThinking Model includes knowledge and thinking styles from an Islamic perspective combined with the existing UlulAlbab model used at the school level. This model is useful as a guide to the development of learning and training modules to train students in institutions of higher education to become the Ulul Albab Generation.
The Influence of Competency towards the Performance of Islamic Banking Industry in Malaysia
Authors: Et.al Mohd Fodli Hamzah
Published: April 2021

The purpose of this study is to explore the influence of competency which comprises of technical and behavioral competency among the employees of Islamic banking towards the performance improvement of Islamic banking industry in Malaysia. The study needed to be conducted due to the unfavorable achievement of Islamic banking industry after three decades of its establishment. Islamic banking needs to be more aggressive in providing competent human capital in line with the development of Islamic banking industry. The study related to the Islamic banking has been widely conducted but the use of McClelland and Spencer & Spencer theories to examine the effect of technical and behavioral competency towards the performance improvement of Islamic banking industry in Malaysia is still limited. Therefore, the first objective of the study is to determine the influence of technical competency among the Islamic banking employees towards the performance improvement of Islamic banking industry in Malaysia. The second objective is to find out the influence of behavioral competency among the Islamic banking employees towards the performance improvement of Islamic banking industry in Malaysia. Quantitative approaches through self-administered questionnaire were adopted and analyzed by using SEM-PLS. The total number of respondents is 370, where cluster and random sampling is used to select the respondents from each branch of Islamic banks in Malaysia. The results showed that both variables technical competency (β = 0.317, t = 4.484 p < 0.05), and behavioral competency (β = 0.294, t = 3.594 p < 0.05) were significantly influencing the improvement Islamic banking industry performance. Finally, this study has significant implications to the relevant parties to provide competent and highly performance human capital to the Islamic banking industry in Malaysia. The recruitment should not merely base on the experience and educational level but also taking into highly consideration positive personal attributes, attitudes and values. This is because the career in Islamic banking is not merely a career but a responsibility and sincerity which both are required in every aspect of the working environment.
The Mediation Effect Firm Performance on Green Innovation and Firm Value: Evidence the Mining Industry
Authors: Et.al Andi Auliya Ramadhany
Published: April 2021

Global warming is currently an issue that is widely discussed of both the accounting literature and others. The topic of environmental performance is gaining increasing attention from academics and politics when it is associated with each country’s policies regarding environmental damage. Purpose: This article to investigate both the direct and indirect the effect of green innovation and firm value on financial performance as mediating variable Design/methodology/approach: The samples in this study are applied using purposive sampling ad obtained total sample of PROPER participating companies listed in Indonesia Stock Exchange during the year of 2012-2018. The data used in this study are secondary data obtained from annual report. Companies are listed on the Indonesia Stock Exchange in mining industry in 2012-2018. The variable green innovation was measured by using PROPER, the financial performance was measured by ROA and the firm value were measured by Tobin’s Q. Data processing uses SEM-PLS with WarpPLS 6.0 with the consideration that SEM-PLS is a reliable tool for testing predictive models. Several studies using capital market data in Indonesia have found data with abnormal distribution, so data using PLS is appropriate. Result of the study: The authors find that the green innovation has a positive effect on the firm value and financial performance full mediate the effect green innovation and firm value. Research limitations: this article only examines green innovation using the PROPER measure while the green innovation measure is thought to be related to company value such as ISO 14001, content analysis is not discussed at all in this article and the research sample is limited to mining companies. This scope may not be able to describe the overall conditions in Indonesia. Originality/value: This study comprehensively examines both direct and indirect effect of green innovation with financial performance and firm value, which is rarely examined in extant studies.
ONLINE TABLE RESERVATION WITH PRE-ORDERING
Authors: Et. al. Dr.K.Subrahmanyam,
Published: April 2021

Online Table Reservation System is aweb-based solution for a Restaurant’s Pre-Ordering module; automation and digitalization of table reservation process along with pre-ordering of food and parking spot allocation. This system would allow restaurants to increase the scope of business and save a lot of time with table reservations as previous bookings are open. The system also makes it possible to quickly and easily control an online menu that customers can search and use with only a few clicks to place orders. Recommendations would be based on user activation and specifications. A new user would be recommended of the restaurants available best sellers while a regular would be recommended based on their previous food selections. Their starter and other food selections would also raise recommendations. The table will be reserved along with a parking space on the appropriate time-slot so that users do not face inconvenience. Using this system as a building block, we can develop a smartphone-compactable software application