bluuebunny/crossref_metadata_2025 huggingface dataset:
Working From Home Facilities Model During Pandemic Situation
Authors: Et.al Irwan Mohammad Ali
Published: April 2021

Since WHO declare COVID-19 as a pandemic, it has changed the way of our life today. Mostly, all countries in the world implementing lockdown or movement control to stop the spreading. In Malaysia, the government announced a Movement Control Order (MCO) which requires the closure of all businesses except those providing essential services and items. This affects most business operations and companies have to switch to Working From Home (WFH). This paper aim to propose WFH Facilities Model during a pandemic (COVID-19). The scope of this study pertains to Malaysian citizens. The main methods used in this research were a deductive approach that suit to cross-sectional research. This research employs a simple random sampling technique to achieve the required minimum sample size. Therefore, to gather data, a questionnaire survey technique was selected.Meanwhile, using the SmartPLS3, structural equation modeling (SEM) technique was used to test the research hypotheses. A total of 500 questionnaires was circulated via a web-based self-administered questionnaire using the Google Forms survey. Out of 500 questionnaires distributed, only 363 sets were replied to and completed with a high response rate of up to 73%. The findings of the study show that from six research hypotheses, only two hypotheses are supported which are Work-Family Related (WF) and Modern Technology (MT).Hence, this study recommends that it is important for any organisation that wants to implement WFH to pay an attention to both attributes.
Holistic Leadership: The Islamic Characteristic of Malaysian Gifted Learners inPusat Genius
Authors: Et.al Rorlinda Yusof
Published: April 2021

Leadership is a crucial characteristic that empowers Gifted Learners (GL) to understand responsibility. This study is a qualitative study which aims to explore the Islamic leadership characteristics' levels among Malaysian GL during the presentation of their assignment by grouping. Researchers selected 10 participants to lead a group and, conducted an interview session after they have done their presentation. This article is aimed to distinguish the component of Islamic leadership outlines amongst Malaysian GL and how they show their responsibility in their task accomplishment of Islamic Education. This study contributes by helping GL to build confidence and nurture their leadership potential as future leaders.
The Relationship between Distributed Leadership and Teachers’ Organizational Commitment in Guangzhou City, China
Authors: Et.al ArsaythambyVeloo
Published: April 2021

The objective of this study was to determine the relationship between teachers’ organizational obligation and distributed leadership in secondary schools ofBaiyun district in Guangzhou city, China. This study was conducted using the quantitative survey approach. The respondents comprised of 98 teachers were selected through random sampling. The data of the study were collected using 22 items from Distributed Leadership Inventory and 15 items from Organizational Commitment Questionnaire. The data analysis used independent sample t-test, one-way ANOVA and Pearson correlation with SPSS version 22. The findings of the study showed that there was no significant difference between gender and teaching work experience based on organizational commitment. However, there was a positive relationship between school distributed leadership and teachers’ organizational commitment.
A Structural Model of Green Technology Practices among Primary School Teachers at Northern Region Malaysia
Authors: Et.al Talirkodi Vinathan
Published: April 2021

Over the past few years, green technology practices have received increasing attention since it is considered critical for protecting the environment. However, only a few studies have presented green technology practices in the education field. Green education is viewed as a learning process that involves problem-solving and students' ability to make informed decisions for the future. This study aimed to examine the level and influence of primary school teachers' awareness and motivation in accepting green technology practices. Besides, this study aimed to examine the moderation effect of knowledge and gender on the relationship between awareness and motivation with the acceptance of green technology practices. This study employed a quantitative approach. Thus, 355 usable data from teachers have been collected in Malaysia's northern region, and the data were analysed using SmartPLS. The findings show that awareness and motivation are positively and directly associated with green technology practices. Also, it was found that only knowledge to be a moderator in the relationship between awareness, motivation, and green technology practices among primary teachers in northern region Malaysia.
Commonwealth In Uzbek And World Literature
Authors: Sultonova Nilufar
Published: April 2021

This article analyzes the artistic criteria of modification through its literary works. The commonality of Uzbek and world literature, as well as the individual style of the writers, the system of images he created, reflected the process of expressing the reality of a talented scientist, the delicate human feelings in his heart.
IoT: A Mainstay Towards Intelligent Computing
Authors: Singh Shobhita
Published: April 2021

After the .com boom, the next big thing in the 21st century is the “Internet of Things”. The “Internet of Things” is exploding and infusing intelligence globally. From infinitesimal chips to mammoth machineries, billions of smart gadgets communicate with each other with the aid of wireless devices. The day is not far when every physical item will no longer remain disconnected from the virtual world. Presently, your coffee kettle starts automatically when you wake up in the morning and lights go off when you leave home for your office where all devices are controlled/activated through your voice. Dream becomes reality, when the whole world will be running automatically and virtually with the initiation of a command. Connecting ‘Internet of Things’ with ‘Artificial Intelligence’, high-tech and scientific technologies will transform the world into a completely digital world. These two powerful pillars will build super-intelligent e-devices that are ready for new challenges. It will be made possible by evolving IP strategies, Radio Frequency Identification (RFID), embedded sensors, actuators that are intelligently connected in machines and other physical objects. This paper aims to provide an insight into how the third wave of information technology i.e. Internet of Things (IoT) will interconnect the physical world using artificial intelligence. The paper will further discuss the building blocks of the IoT and the perspective areas where it can be implemented smartly.
Work from home: a boon in the phase of pandemic?
Authors: Et.al Anand.N.
Published: April 2021

In this phase of pandemic and lockdown, where people are trying to cope up with stress along with their personal and professional responsibilities; do work from home acts as a boon to them? Flexible working arrangement enables the employees to avoid daily commutes and work according to their convenience but in this pandemic situation where people are bound to isolate themselves with their family, is flexible working helping them?

Previously, there was a mindset that an efficient workforce can be developed through a proper work environment and team work but after this pandemic, a new mode of working has replaced the traditional one. At present, ‘work smart’ has replaced ‘work hard’ by accepting and incorporating employees’ multiple demands related to work and health, family and responsibilities , time and place. Work from home is one of the Flexible working arrangements provided by the employers to employees; also emerged as the “new normal strategy” after this pandemic. The IOT (Internet of Things) became essential for organizations to pace up the work. However, with digital platforms and up gradation of technology, the firms and organizations stay connected with their employees. This study is descriptive in nature and it focuses on both the pros and cons of flexible working along with its effect on the employees’ well-being and overall organizational work culture and productivity.
Solving Economic Load Dispatch Problem UsingParticle Swarm Optimization Technique
Authors: Et.al Aditya Tiwari
Published: April 2021

Economic load dispatch (ELD)is one of the important problems ofpower system operation. Conventional methods like Lambda iteration methodare not efficientfor complex ELD problems. Particle swarm optimization is preferred in ELD problem due to its high performance.The Inertia Weight PSO and Constriction Factor PSO algorithms are performed on threeunit and sixunit systems. The analysis of ELD problem is performed by Conventional method and PSO method. In this paper,losses are neglected in the ELD problem. PSO algorithm obtains the best solution forELD problem.
Comparative Analysis of DCF based Dispersion Compensation Techniques in Optical Fiber Communication Link using Different Input Transmitter Conditions at 10 Gbps
Authors: Et.al Gaurav Sharma
Published: April 2021

In this paper, Dispersion Compensating Fiber (DCF) based various dispersion compensating techniques (pre, post and symmetrical) with different modulation format like Non Return to Zero(NRZ), Return to Zero(RZ), Carrier Suppressed Return to Zero(CSRZ) and Duo Binary(DB) along with PN, FCC and Walsh code input sequences are implemented. Simulation and analysis of these implemented techniques were done at 10 Gbps bit rate and input laser power ranging from 1 mW to 10 mW at transmission distance of 240 km using BER Analyzer in Optisystem 17.0 software. Comparison between different techniques was done in terms of Q factor and BER versus input CW laser power for different modulations and input sequences. From the analysis, it is concluded that when Walsh code as user defined input sequence are used for all the implementation, it gives higher value of Q factor and lower value of Bit Error Rate as compared to PN and FCC codes for most of the input CW laser power.
MediCare System – A social media platform for Iraq environment
Authors: Et.al Sarmad Monadel Sabree Al-Gayar
Published: April 2021

During the mobile technology's global expansion, the widespread use of internet-enabled smartphones on all countries and especially in Asia Minor/Iraqi community has increased dramatically, as mobile applications became a key area of interest among physicians and patients in this society. Also, there are applications available that help healthcare providers, but these applications have limited possibilities and don’t have communication, monitoring, or other functions of healthcare. Physicians and patients turn to social media applications in the healthcare process. If we speak about Asia Minor, especially Iraq there are very few applications and related research that facilitates electronic health. Therefore, due to the conditions and requirements of the Iraqi health environment a healthcare solution called "MediCare" system that provides a medical social platform that facilitates interaction between hospitals, clinics, physicians, and patients has been developed. In this paper we present the implementation of the MediCare system together with its general architecture.
MOOCs Changing Behavior: New Challenges and Issues Leads to Opportunity
Authors: Et.al Neha Yadav
Published: April 2021

Learning through distance mode very helpful for all of us nowdays. MOOCs plays very important roe in all aspects. Govt of india also launch so many platform for this type of various learning domain. Learning were also early incarnations of varios factors depends of nature of   learning in the form of written distance learning. MOOCs are a recent development in online education and have several distinctive features compared to previous distance education models.  MOOCs are online courses intended for massive interactive participation and free web access. Materials of many conventional course such as powerpoint presentations, online notes, readings, quizzes, and videos.  MOOCs provide very interactive and formation of collaborative learning forums that will be very helpful to build community for students and teachers
Improving the Performance of Multidimensional Clinical Data for OLAP using an Optimized Data Clustering approach
Authors: Et.al Anjana Yadav
Published: April 2021

Medicine is a fresh way to utilize for curing, analyzing and detecting the diseases through data clustering with OLAP (Online Analytical Processing). The large amount of multidimensional clinical data is reduced the efficiency of OLAP query processing by enhancing the query accessing time. Hence, the performance of OLAP model is improved by using data clustering in which huge data is divided into several groups (clusters) with cluster heads to achieve fast query processing in least time. In this paper, a Dragon Fly Optimization based Clustering (DFOC) approach is proposed to enhance the efficiency of data clustering by generating optimal clusters from multidimensional clinical data for OLAP. The results are evaluated on MATLAB 2019a tool and shown the better performance of DFOC against other clustering methods ACO, GA and K-Means in terms of intra-cluster distance, purity index, F-measure, and standard deviation
Effect Of Stress On Employee Performance And Job Satisfaction
Authors: Et.al Sapna
Published: April 2021

Stress depends upon the individual and the legitimate organization dealing with the issue and centering towards progressive practicality and authoritative viability .Role stress impacts the hierarchical adequacy .Role crumbling, position over-trouble, Role stagnation and Inter occupation division are the most notable occupation stressors in an affiliation. Stress can be Eustress or hopelessness. Eustress can awaken a specialist to work with greatest limit or can inconvenience a delegate or demotivate him and thusly sway on the authoritative Effectiveness. Occupation productivity improves the various leveled suitability. There is a necessity for the associations to proceed in this resistance .However, review that individuals have restricted mental and actual resources, and can't by and large deal with the troubles they face. Laborers, now and again, need backing and getting ready which has stood up to a huge incident on account of decline. Managing the pressing factor is relied upon to adjust to the surpassing level of troubles. Stress the heads is the possibility that can be acclimated to lessen the level of pressure. It bases on shielding the sensations of tension from surpassing the level where it animates and improves the efficiency of individuals.
Portrayal of Women from Stereotype to Empowered in Film Studies
Authors: Et.al Poonam  Pichanot
Published: April 2021

Nowadays, without films, we can't really imagine contemporary India society. Although this is Unable to conceptualize a film without a 'story.' A film must 'tell' and 'show' Story, unravelling layer by layer, introducing the magic of the silver narrative on the screen. The stories rooted in culture are praised by the viewer. More so, if they are widely acknowledged in oral or written form, right from the beginning, there has been an indelible connection between literature and films. The policy begins with depictions of women protagonists in mainstream Bollywood films. This topic is considered appropriate because women are a large part of the population of the country and their on-screen representation is thus critical in deciding the promotion of current stereotypes in the country in the society . The paper begins with a discussion on the field of feminist film criticism and how mainstream Hindi Cinema has restricted itself to defined sketches of womanhood. Cinema has limited itself to established sketches of femininity
Agro-tourism in Rajasthan: A way to bring down issues in our surrounding environment
Authors: Et.al Hemani Kothari
Published: April 2021

The study attempts to show the impacts of agro tourism in environmental and climatic betterment of the state and nation. The results of this study will tell us that agro-tourism will help to improve environmental and climatic factors and also plays a great role as an additional income source for farmers and government. General public is now-a-day’s facing problem because of environmental instability and this can be cured if we consider agro tourism sector as a solution and incorporate this sector too like other tourism sector. Maharashtra was the first to understand this sectors demand and used this concept very well to improve its GDP and environment. Agro tourism help to create awareness among public about the environment by providing income source and environmental benefits both simultaneously. It creates knowledge about agriculture science.

A modern style of development proposes rationalexploitation of agricultural resources together with the rediscovery of heritage both historical and naturalistic as a means to reach sustainable development. Agro tourism acts as the contact point between the tourist’s expectations of healthy environment, natural and fresh products, rediscovery of nature and best touristic services with an unforgettable experience. The study assumes the importance of environmental and climatic betterment to neutralize or reduce its harmful effects in near future. It helps to evaluate that how a sustainable development can be reached without causing damage to our environment. This synergy between agriculture and tourism capitalized on the combined benefits of development in agriculture as a primary sector and tourism as a service sector which further boost rural employment generation and environmental benefits. Thus, the paper suggests that agro-tourism has the potential for developing income opportunities and creates new ways for environmental and climatic betterment
Performance Management Practices: A Decisive Approach to Improve Employee Productivity
Authors: Et.al Shalini Dixit
Published: April 2021

Performance management practices include various approaches to significantly assess the organizational performance and productivity. It includes critical analysis and evaluation of employees skills and knowledge to increase output at workplace which establishes culture of proper evaluation of individual performance i.e. directly linked with attainment of individual as well as organizational goal. With the changing dimensions of business operations performance of employees is ensured through involvement of strategic approaches which enables them to understand the required standards of performance and evaluation criteria to assess productivity with merits and demerits of learning and improving better alternatives which ultimately enhances the overall performance of organization. This study helps in critical assessment of various performance management practices and its effect on employee productivity in textile firms of Bhilwara city. The performance management practices comprised of employee appraisal system, training and development, reward system and feedback which all are considered as independent variables and dependent variable is defined as employee productivity. The research paper incorporates primary data collected through a structured questionnaire from a sample size of 100 respondents who worked at various managerial levels in textile firms. A descriptive research design is used for the analysis of data with the help of mean, standard deviation and regression analysis to accomplish the research objective of assessing the effect of independent variables performance appraisal, training & development, reward system and feedback on employee productivity. Various hypothesis are framed to test the results and draw inferences for the population. The study focuses on implementation of various approaches that can enhance employee productivity and develop a workforce through proper training and evaluation with the help of review and feedback mechanism and ensure growth of individuals as well as organization and fulfilment of organizational goals. The result is analysed through regression which helps in adoption of sustainable HR practices forced to rethink on decisions pertaining to employee productivity
Implementation of Competitive Intelligence in Improving Company Performance of Power Plant in Indonesia
Authors: Et.al Aldo Wijianto
Published: April 2021

Numerous studies have been conducted on competitive intelligence and its impact on business performance. Most of companies agreed that competitive intelligence is a critical element of business and corporate strategy to increase income hence investment in competitive intelligence considered to be profitable. This research is aimed to expand the knowledge boundary by investigating the application of Competitive Intelligence in electrical power plant company. Twenty companies were selected as the target sample using purposive sampling design, in which the questionnaires were distributed to 120 individuals who were argued to have knowledge in the practice of Competitive Intelligence. In total, 105 questionnaires were returned for further analysis. Data were analyzed using descriptive statistic provided by SPSS. In the aspect of Competitive Intelligence Practices, results indicated that the mean score for each individual item range between 3.23 to 4.14, suggesting intensive practices of Competitive Intelligence. In the aspect of Utilization of Tools in practicing Competitive Intelligence, results indicated that three most widely used tools were from Employees, Customers and Internet. In the aspect of measurement variables in measuring competitive intelligence practices, results indicated that three most widely used measures were (1) yearly improvement of Equivalent Availability Factor-EAF (mean 3.96), (2) increase in percentage of planned maintenance (mean 3.82), and (3) yearly improvement of Equivalent Forced Outage Rate – EFOR (mean 3.75). Public utilities (infrastructure) company usually being pictured as companies that does not really care about competition as they usually being run by the Government. However, the findings of this research show otherwise
Youth Psychology, the Impact of Identity Crisis in shaping future in Chetan Bhagat’s Five Point Someone
Authors: Et.al Mr.S.Venkateswara Rao
Published: April 2021

The crisis of identity is one of the major issues of mankind.It does not confine to any single country, region, religion or ethnic group. Identity crisis prevails all over the world. It is also not confined to any particular age group people though the identity problem is predominantly visible in the life of younger generation. When we concentrate on the crisis of identity in Indian context, it has become the major problem of current educated youth.

 

So far, many writers of fiction have focused on the identity problem and Chetan Bhagat is no exception on this list. Since identity crisis, mostly, seems to be the major problem of the age group people between 18 to 30, Bhagat has appropriately dealt with it in his fiction. The educated younger generation, in general, face problems to get well settled in life after completion of their education.The students, now-a-days, have been facing numerous problems in their academic career itself to beat the crisis. Chetan Bhagat as a young entertainer, attempts to depict all their problems in his fiction. The problems include Mindless mugging (No room for creativity and Innovativeness), lack of Disciplinary Ethics, Rigidity, Monotony in Academic work, Students’ Unrest, Fear, Insecurity, Controlled Stress and Suicide under Parental and Academic Pressure etc. For the purpose of my paper, I have chosen to study the identity problem crisis in youth of contemporary Indian Society and its portrayal in Chetan Bhagat’s maiden novel, Five Point Someone-What not to do at IIT.
Quantitative Analysis of a River Basin - A GIS-based Approach
Authors: Et.al Ketan A.Salunke
Published: April 2021

The river basin plays a fundamental role in planning the management of natural resources. The hydrological behavior of the basin depends on the geomorphological parameters of the hydrographic basin. In the present study, a morphometric analysis was performed to determine the linear, areal and relief parameters of the Panzara River, the main tributary of the Tapi River, using the Geographic Information System tool. The river basin is of seventh order, showing a dendritic pattern of drainage that indicates the homogeneity in the texture of the basin. The drainage density in the area is 2.56 and the mean bifurcation ratio 5.065 indicates the less impact of structural deformations on the basin. The stream frequency of the basin is 3.20 showing low relief and high permeability. The present study reveals that the applications of GIS techniques are reliable, take less time and are competent to manage large databases for management of river basins.
Design and Development of Bionic Eye for Visually Challenged People using Raspberry Pi Processor
Authors: Et.al P.Lavanya
Published: April 2021

Bionic Eye will play a major role in the future development of visually challenged people. This research focuses on design and development of Bionic Eye to detect the hurdles for visually challenged people. This intelligence system uses the shape and movement of an object for detection and tracking. The object recognition rate is improved with the help of Stochastic Decent Gradient algorithm. Raspberry Pi is the processor used for the Bionic Eye as it gives out command on the object detection and the data from the camera is collected and then transmitted to the system. The distance and object movement is obtained by ultrasonic sensor. The range of the ultrasonic sensor is set and the distance is measured. A camera is used for capturing the object. A voice output saying “there is an object in front of you” is heard after an object is detected. The accuracy of the object detection is obtained by the deep learning algorithm. Increasing the recognition rate is the main advantage over object detection systems
Improving Highest Security Lightweight block cipher (HISEC) Algorithm Using Key Dependent S-box
Authors: Et.al Warkaa Salim Najm
Published: April 2021

Information security is considered as a very critical issue in the transmission of information. Therforelossing or threatening the information transmission will therefore be a great loss in the process of transmitting the information. Recently, Lightweight block cipher Algorithms have gained wide acceptance and it is used in restricted applications, such as electronic passport, smart card, etc. In this study, a modified HISEC algorithm is proposed to enhance and improve the original HISEC algorithm by introducing the concept of a key dependent S-box. This proposal algorithm aims to generate a safer block of code and solve the problem of the fixed structure of the used S-box that was a vulnerability for the attacker. It was an impenetrable barrier facing the attacks of the (Linear cryptanalysis) and (Differential Cryptanalysis).  The proposed algorithm showed some improvements when comparing it to the orginal algorithm.
A Mathematical Model For The Special Effects Of Phosphatidylserine On Endocrine Reaction To Reasonable Concentration Exercise In Healthy Male Subjects
Authors: Et.al A. Leema Rose
Published: April 2021

In this study, we implement a three-parameter Weibull-G exponential model analysis to analyse the impact of short-range supplementation with a modest dosage of cortisol, lactate, growth hormone and testosterone plasma attentions in healthy male profiles before, during, and after moderate intensity practice.PS supplementation facilitates a desirable athlete state of hormones through stepping up at the rates of cortisol. Ultimately, we conclude that the application part coincides with a mathematical model and the result is linked to the medical report. In the future, this paper will be very beneficial in the medicinal field.
Customer Satisfaction Is Effected By The Quality Of Service: A Case Study Indonesian
Authors: Et.al Rusdiyanto
Published: April 2021

This study aims to determine and analyze the effect of service quality indicators in measurement using Tangible, Emphaty, Reliability, Responsiveness, and Assurance on Banking Customer Satisfaction in Indonesia.This research uses quantitative methods that are descriptive and tends to analyze using an inductive approach. This type of research uses Explanatary Research, the study population uses banking customers. The data collection method in this study is to spread questions with the right target, the questionnaire in this study has requirements that must be met: The questions are factual, the questions are opinion, the questions are self-perception.The findings in this study explain that service quality affects customer satisfaction, the results of statistical tests with t test can be concluded that service quality has an influence on banking customer satisfaction.
Energy-Efficient Hybrid Hierarchical Routing scheme for overall Efficiency in WSN
Authors: Et.al Raghunandan G H
Published: April 2021

Wireless Sensor Network are spatially distributed sensors intended to monitor different physiological conditions. Sensing and communicating data from one place to another consumes more energy, therefore the management of sensor energy is a very important factor. Energy utilization, synchronization, and a lifetime of the network are the main criteria in WSN. More energy is utilized by sensors that are distant from the base station. The gateway nodes are deployed to collect and relay information from nodes to the base station to resolve this problem. To decrease energy consumption, gateway nodes are deployed in the network. In this paper, a hybrid approach is used to increase the overall efficiency of the network in WSNs with time synchronization which increases the throughput of the network. The efficiency of proposed protocol based network has shown improvements in network lifetime, residual energy, data packets, and the throughput of the network. The performance of WSN of the proposed scheme is compared to other classical routing schemes and the proposed algorithm has proved its merit.
Multicast Through Device to Device Communication using Enhanced Diffie-Hellman Algorithm
Authors: Et.al M. Satish Kumar
Published: April 2021

The mobile device demand has been increased and it is estimated that in upcoming 10 years, the wireless cellular demand will increase up to 500 times. And it is not possible only with the cellular networks to satisfy this huge demand. To meet the huge requirement from the mobile end user, 5G networks enabled device to device communication can be applied. Device to Device (D2D) connection is the direct link among the two devices without the intervention of main station. Thus, D2D reduces the latency. And 5G are supported for the high data rates. Furthermore, for efficient transmission, multicast device to device communication is used. Multicast distrubutes the messages to multiple users of the restricted geographical area. Trustworthy communication is necessary for multicast D2D communication. Enhanced Diffie-Hellman algorithm is used for the trustworthiness.
Wayfinding Techniques at Common First Year King Saud University - An Indoor Localization Approach for Navigation
Authors: Alenazy Dr. Wael Mohammad
Published: April 2021

The development of ICT technologies in recent years has shown remarkable changes with the internet of things and smart gadgets. This presented an opportunity for indoor navigation to develop a system for indoor positioning systems, such as GPS, that can assist any beneficiary in navigating inside the building and locating themselves. This paper focuses on the educational sector, specifically in King Saud University's Common First Year. To fit the educational setting, a detailed study using various techniques was reviewed. Overall, a meta-analysis was completed that will aid in the implementation of the sensors nodes technique in the future as a prototype on Common First Year campuses.
Customer Loyalty Analysis on Online Food Delivery Services
Authors: Et.al So Mario Sidharta
Published: April 2021

Indonesia's e-commerce growth has increased by 17% in the last ten years. One of the most popular e-commerce businesses in Indonesia is online food delivery services. Promotion is one of the reasons that makes online food delivery service users increase every year. This research aims in alayzing the effects of e-service quality (e-servqual), food quality, and sales promotion toward perceived value and customer satisfaction, as well as their impacts on customer loyalty. A questionnaire was distributed to 200 respondents who had used online food delivery services in DKI Jakarta. The Structural Equation Model (SEM) with the PLS-SEM was used to test the validity, reliability, and hypothesis. The results of this study indicate that customers satisfaction impacted customer loyalty, which is the benchmark for customers in using online food delivery services. Not only that, company’s services, quality, and promotion impact customer satisfaction.
Short-Term Passenger Count Prediction for Metro Stations using LSTM Network
Authors: Et.al Sminu Izudheen
Published: April 2021

Predicting passenger flow is vital for the management, safety and smooth operation of any metro station. Such predictions are highly challenging as it depends on many parameters including travel pattern of the passengers. In this paper, we propose a highly efficient Long Short Term Memory Network [LSTM] which is a specialization of RNN to achieve this task. To do this prediction we employ the historical dataset from the metro containing the count, age and gender category of the passengers. Unlike earlier works, we also take into account the meteorological data of that time period and also the holiday information which includes the local events and public holidays. This accounts for the occasional spikes or fluctuations in the crowd patterns. Also the information about gender and age category of passengers is given emphasis and considered as an important parameter that affects the overall passenger count. Various configurations of the LSTM model are experimented by training the model repeatedly and the ones that yield the best result for this problem are evaluated and analyzed. The results obtained can be used to build an accurate and reliable predictive model to understand beforehand the amount of passenger crowd to expect
Analysis and Development of Bina Nusantara University’s BNPCHS School of Computer Science Competition Website Using the Laravel Framework
Authors: Et.al Dirga Sulinanda Putra
Published: April 2021

The purpose of this thesis is to facilitate the user to view the competition information, make the registration process and payment of the contest easily, facilitate the changing of content through the system, along with the data collection. In developing this website the methodology used is the method of collecting data through literature studies and interviews. While the design method used is the Waterfall method. The results of this thesis is a website that is implemented using a framework with a Content Management System (CMS). The conclusion of developing this website is to answer user needs for information, registration, and confirmation of competition payments
An approach for Secured Image Transmission: A High Capacitive and Confidentiality based Image Steganography using Private Stego-Key
Authors: Et.al G.Aparna
Published: April 2021

In the proposed paper an approach for image transmission with security and also improvement of the gray-scale (8-bit image) image flexible stenographic system using LSB approach. In this process a secret key of 80 bits is applied while embedding the message into the cover image. To provide high security and also confidentiality of the data a key stego-key is applied. The proposed method the information bits are embedded adaptively into the cover-image pixels. With this method a high embedding capacity in terms of hiding the data is provided and also better imperceptibility is also achieved. The major advantage of this method verifies by the Security method of Digital Signature. It is to be verified whether the attacker has made  a trials to change the Secret information in the  present inside the stego-image which is intended to be kept secret throughout the communication process. In this technique the embedding process to hide the message data present in the transformed spatial domain of the cover image and makes use of a simple Exclusive-OR  operation based on  Security checking method of  verifying the signature digitally by using key size value of 140 bits is used to check the integrity from the stego-image. The confidential data which is embedded can be retrieved from stego-images. The security level is enhanced by using the stego key and by adaptive steganography data inconspicuousness is improved.
Myocardial Infarction Prediction Using Hybrid Machine Learning Techniques
Authors: Et.al Vaddi Niranjan Reddy
Published: April 2021

The myocardial infarction prediction is an important task in health care domain in the current days. So, Prediction of cardiovascular diseases is a critical challenge in the area of clinical data analysis. It is difficult to predict myocardial infarction prediction by physicians with huge health records. To overcome this complexity we need to implement the automatic heard disease prediction system to notify the patient and get to recovery from the disease. Here to gaining the automatic system we are using machine learning techniques to easily performing myocardial infarction prediction. The machine learning techniques can be split into multiple types like unsupervised and supervised learning classifier. The supervised learning techniques working with structured data which is recommended to implement this classifiers. So, in this system we are using supervised learning techniques namely KNN, RF, NN, DT, NB, and SVM classifiers. To predict myocardial infarction, this system is using training dataset which is accessing from UCI ML repository. As well as this system is comparing accuracy performance between various machine learning algorithms and accuracy results with graphical presentation. This makes the accessing of the risk of the disease in the early stages and can try to save the patient without having any loss.
A Case Study on Hospital Readmission Prediction Using Deep Learning Algorithms on EHRs
Authors: Et.al B. Sushrith
Published: April 2021

In this paper, focus is made on predicting the patients who are going to be re-admitted back in the hospital before discharge using latest deep-learning algorithms is applied on the electronic health records of patients which is a time-series data. To begin with the study of the data and its analysis this project deployed the conventional supervised ML algorithms like the Logistic Regression, Naïve Bayes, Random Forest and SVM and compared their performances on different portion sizes of dataset. The final model built uses deep-learning architectures such as RNN and LSTM to improve the prediction results taking advantage of the time series data. Another feature added has been of low dimensional descriptions of medical concepts as the input to the model. Ultimately, this work tests, validates, and explains the developed system using the MIMIC-III dataset, which contains around 38000 patient’s information and about 61,155 patient’s data who admitted in ICU, duration of 10 years. The support from this exhaustive dataset is used to train the models that provide healthcare workers with proper information regarding their discharge and readmission in hospitals. These ML and deep learning models are used to know about the patient who is getting to be readmitted in the ICU before his discharge will help the hospital to allocate resources properly and also reduce the financial risk of patients.

In order to reduce ICU readmission that can be avoided, hospitals have to be able to recognize patients who have a higher risk of ICU readmission. Those patients can then continue to stay in the ICU so that they will not have the risk of getting admit back to the hospital. Also, the resources of hospitals that were required for avoidable readmission can be re-allocated to more critical areas in the hospital that need them. A more effective model of predicting readmission system can play an important role in helping hospitals and ICU doctors to find the patients who are going to be readmitted before discharge. To build this system here we use different ML and deep-learning algorithms. Predictive models based on huge amounts of data are made to predict the patients who are going to be admitted back in the hospital after discharge.
A Generic Study on Diabetic Retinopathy Detection
Authors: Et.al Akash Bhakat
Published: April 2021

Diabetic Retinopathy is one of a major cause of visual defects in the growing population which affects the light perception part of the retina. It affects both types of diabetes mellitus. It occurs when high blood sugar levels damage the blood vessels in retina causing them to swell and leak or stop blood flow through them. It starts with no or mild vision problems and can eventually cause blindness if not treated.With the advancements in technology, automated detection and analysis of the stage of Diabetic Retinopathy will help in early detection and treatment. Almost 75% of the patients with diabetes have the risk of being affected by this disease. With early detection this disease can be prevented. Currently DR detection is a traditional and manual, time-consuming process. It requires a trained technician to analyze the color fundus image of retina.With the ever growing population, DR detection is very high in demand to prevent blindness. In this paper we aim to review the existing methodologies and techniques for detection. Also a system for the detection of the 4 stages of DR is proposed.
Orientalism's Suspicions about the Prophet's Infallibility andResponding against them "The Orientalist Schacht as a model"
Authors: Et.al Fatma Ibrahim Ali Radwan
Published: April 2021

This study aims at elucidating and clarifying Islam's position towards orientalists' opinions concerning the infallibility of the Prophet Mohammad Peace and Prayers by Upon Him (PPUH) in his acts and diligence (ijtihad) through investigating the orientalist literature and resources in which the suspicions occurred are related to the research subject. Then analyze and criticize those suspicions by referring to Islamic authenticity sources. The research concluded that the claims of orientalism collapsed in the face of the absence of logical and written evidences concerning the subject of infallibility. The research also recommended the importance of paying attention to orientalist studies and intensifying the efforts to overcome these suspicions with thought, study and research.
Programming And Load Balancing For The Development Of The Multifamily Building - Lima, Peru 2020
Authors: Et.al Robert Calvol
Published: April 2021

The objective of this research is to show the production management in the construction of a multifamily building in Lima - Peru, it is worth mentioning that the main problem is that the companies do not adequately plan the optimal use of resources, the plan of attack of work, the sequence of activities through a correct design of production batch and sizing of crews, which are decisive during the execution of the work. The methodology used in this context is load and crew balancing. This allows us to manage resources and work scheduling, resulting in 100% efficiency. In conclusion, we can say that companies must maintain a correct control of their resources in order to achieve their schedules.
Prospective Vision of the Implementation of E-learning Modules at the National Major University of San Marcos, Lima-Peru.
Authors: Et.al Roxanna Saldarriaga
Published: April 2021

The article analyzes the incorporation of applied learning modules for undergraduate students of the Universidad Nacional Mayor de San Marcos' Administration career to learn more efficiently and dynamically. The Methodology considers the evaluation and review of the criteria taken in a survey to carry out the E-learning Implementation modules. The objective is to determine the factors that influence virtual teaching by validating the students' ability to use a new teaching process to apply any educational topic through this platform. As a result, five factors that influence virtual teaching were determined, validating students' capacity and predisposition to acquire new knowledge through new learning methodologies using virtual media;using these E-learning modules is recommended in conjunction with the Flipped Classroom or B-Learning methodology. It was also determined that only 30% of the students who have taken several virtual courses within their curriculum feel comfortable with this methodology since it requires an entirely didactic and easy to handle system to teach the subject matter.
The Influence Of Good Governance Andtransformational Leadership Styles On The Performance Of Local Governments
Authors: Et.al Fatmah M. Ngabito
Published: April 2021

This study aims to determine the effect of good governance (X1), transformational leadership style (X2), simultaneously or partially on the performance of officials in the government of North Gorontalo District. As well as the influence of Good governance (X1) on transformational leadership style (X2), the population in this study were State Civil Servants who held structural positions in seven Regional Work Units (SKPD) in the Regional Government of Gorontalo Utara Regency, amounting to 63 people, data collection principal through a list of questions that were tested on the instrument, namely the validity test and reliability test for each question item contained in the list of questions. The analytical method used is the Structural Equation Model PLS by using the Smart PLS.3.0 application.

The results showed that, Good governance (X1), has a positive and significant effect on the performance of the apparatus in the North Gorontalo District government. The effect is low with the magnitude of the effect of 0.333 or 33.3%. The transformational leadership style (X2) has a significant and positive effect on the performance of the apparatus in the North Gorontalo district government. The effect is moderate with a large influence of 0.467 or 46.7%. The results showed that, Good governance (X1), has a positive and significant effect on transformational leadership style (X2) in the government of North Gorontalo District. The influence is high, with the magnitude of the effect of 0.712 or 71.2%. Good governance (X1) and transformational leadership style (X2) simultaneously have a positive and significant effect on the performance of the apparatus (Y) in the government of North Gorontalo District. The effect is moderate with the magnitude of the effect of 0.665 or 66.5%.