Volume 11 | Issue 12 |

 Abstract

Technological development is unavoidable over time. That phenomenon has created a new trend, which is online transportation services. Online transportation services provide road transports that track and exploit the development of technology-based online application. Indonesia has the highest market share in Southeast Asia with an estimated transaction value of 18 million dollars by 2025. Indonesia has many online transportation service companies. Gojek, Grab, Maxim, and InDriver are the companies with the most user in Indonesia. Gojek leads an online transportation market in Indonesia, followed by Grab in second rank, Maxim in the third rank, and InDriver in the fourth. Online transportation services companies retain their customer by making customers repurchase. Customer repurchase intention us affected by customer satisfaction while using online transportation services. Customer satisfaction is affected by e-service quality and customer's trust to the brand. Hence, this study aims to find out how much e-service quality and trust affect customer satisfaction, and how much customer satisfaction affects customer's repurchase intention. This study uses quantitative method with descriptive analysis way. Data collection will be done by using questionnaire as a tool which will be spreaded out through Google Forms. Respondence's population is a sum of Grab's user in Indonesia, with a purposive sampling technique. Datas that already collected will be processed using SMART-PLS software.

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 Keywords

consumer behaviour, customer satisfaction, electronic service quality, online transportation services, price, repurchase intention, trust

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The surge in online reviews has revolutionized consumer decision-making, accompanied by the pervasive issue of fake online reviews. This research paper delves into a robust machine learning approach for combating this challenge. The paper addresses the crucial need for dependable methods to distinguish genuine user feedback from deceptive ones, fostering trust in online commerce and informed consumer decisions. Leveraging a diverse dataset of reviews, the study employs a multi-faceted methodology encompassing data preprocessing, feature extraction, and machine learning classification algorithms. Techniques such as text processing, sentiment analysis, and advanced classification models are utilized to assess their effectiveness in identifying fake reviews across diverse industries and platforms. The paper's outcomes highlight the relative performance of various machine learning algorithms, including Random Forests, Support Vector Machines, Logistic Regression, and more. The evaluation employs precision, recall, F1-score, and accuracy metrics to gauge predictive accuracy. These findings provide insights into the strengths and limitations of each algorithm, aiding practitioners in selecting the most appropriate model for their specific context. Concluding with the broader implications, the research underscores the significance of a machine learning-driven approach in countering fake reviews and elevating the credibility of online platforms. Serving as a valuable contribution to academia and industry, this research paper equips stakeholders with insights to promote more authentic and trustworthy digital interactions.

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 Keywords

Fake reviews, Online reviews, Machine learning, Classification algorithms, Text processing, Sentiment analysis, Trustworthiness, Deceptive content, E-commerce, Consumer trust, Data preprocessing, Feature extraction, Predictive accuracy, Robust detection, Data-driven approach, Decision-making, Information integrity, Online platforms, Performance evaluation, Algorithm comparison.

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In the realm of computational science, quantum computing stands as a beacon of unparalleled potential, offering a glimpse into solving the unsolvable for classical computers.In my research paper, I examine and blend insights from four important papers about quantum computing. These papers each offer unique perspectives: Stolze and Suter's "Quantum Computing: A Short Course from Theory to Experiment," Bertels' "Quantum computing: How far away is it?," Paler and Devitt's "An introduction into fault-tolerant quantum computing," and Wu's "Qubits or Symbolic Substitutions for General- Purpose Quantum Computing."My paper aims to make a big impact in the world of quantum computing. By combining the key points from these papers, I hope to highlight the main challenges in quantum computing, such as making sure the data is accurate and the systems work properly. I want to suggest some ways to make the technology better, improving how long data can be stored and fixing any mistakes that might happen.This work is essential because it paves the way for future developments in quantum computing. I want to help solve the big problems in this field, hoping to push quantum computing into a brighter future by finding solutions to these challenges.

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 Keywords

Quantum computing, Evolution, India, Quantum technology, Historical overview, Challenges, Collaborations, National initiatives, Commercial interest, Quantum algorithms, Quantum error correction.

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The words unemployment and employment are most oftenly and frequently used in youth's group. The meaning of these words are very big than its literal meaning in youths life. Other people associated with youth also know the importance of these two words and how these two words affect the future of them. Country like India has faced the problem of unemployment because there is no job for such a huge number of youths. But unemployment is not only a national problem it is a family and social problem also. The youth, who is unemployed, himself faced so many psychological problems. The family and society expects them to work and earn money and when he failed to earn money and manage his expenses they think that he is useless. Unemployment, which has proved a bane for the society, is a universal phenomenon and is the negative aspect of the economic process as it is a condition of being without gain full work. It is generally considered as an involuntary failure to get income yielding work. Unemployed person can be a big problem for any nation. Unemployment is a concern for youths mental health.

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 Keywords

Employment, Unemployment, Job, Youth, Mental Health, Economy

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In the epoch of advanced electronic and communication systems, it is being observed most of the times that the information is being assaulted with worms and viruses. To shield the data, a secure and advanced cryptosystem is required to devoid any type of dilemma. There are several tools and techniques that are being used, to meet the challenging needs for a highly secure transmission and reception system. In the spirit of algebraic abstraction, this paper advocates the definition and use of higher levels of abstraction in cryptography (and beyond). If contrasted with the standard bottom-up approach to defining models of computation, algorithms, complexity, efficiency, and then security of cryptographic schemes, our approach is top-down and axiomatic, where lower abstraction levels inherit the definitions and theorems (e.g. a composition theorem) from the higher level, but the definition or concretization of low levels is not required for proving theorems at the higher levels. The goal is to strive for simpler definitions, higher generality of results, simpler proofs, improved elegance, possibly better didactic suitability, and to derive new insights from the abstract viewpoint. Previously security was mainly concerned with the exchange of messages that took place in communication. After that some techniques came into existence that provided more reliable and superior results. But the prerequisite for a more secret system is increase in amount day by day. As the communication system is being more complex, according to the demand more advanced and protected cryptograms are important. In the following paper diverse cryptographic techniques have been analysed that serve the purpose of security from 1900 B.C up to the present day visual.

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 Keywords

Hieroglyphics Enigma Machine, DES, AES, RSA Quantum Cryptography

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Creative Commons Attribution 4.0 and The Open Definition

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The recent growth of e-commerce and the consumer's increasing interest in purchasing over the net have significantly changed the landscape of Indian retail market. Today customers are inclined to accept the changes and keep their eyes on the benefits they can obtain from online retailers. The recent example of changing consumer purchase pattern is the flipkart's 'Big Billion day' Sale. The growth in online sales can be partially attributed to the Internet's advantages of providing large amounts of information quickly and inexpensively and its growing accessibility. Yet, to reach its full potential, business owners who use ecommerce as a distribution channel need a clearer understanding of who buys online, what they buy online, why they buy online, and how the non-Internet buyer can be transformed into an online buyer in order to increase online sale. The purpose of this study is to understand and analyze the factors effecting online purchase decisions of Indian customer. The paper attempts to identify the determinants of online purchase intentions of youths in Indian context. Based on extensive literature review, factors effecting online purchase intentions, antecedents of service quality and consumer attitudes were identified and a structured-non-disguised questionnaire was prepared. The data was collected through survey of 200 students of graduation and post-graduation courses in Bareilly region of Uttar Pradesh. The questionnaire contained questions about consumer demographics, security and privacy concerns, technological familiarity, past online shopping experiences and intentions to buy various types of products through internet in future. The findings of the study indicate that customer online purchase intentions are significantly related to their gender, education, age, security concern, technological familiarity, and past online purchase frequency. Consumer buying behavior is also affected by product type, purchase frequency and expensiveness. Their purchase decisions are also found to be related with the online retailer's services like return, refund and delivery services. The framework of the research enhances understanding of the factors affecting customer online shopping behaviour, helps in profiling typical Indian online shoppers and may help e-marketers developing more specific marketing strategies to increase e-commerce sales.

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 Keywords

Online Shopping Intentions, Online Shopping, Customer Characteristics, e-Retailing, e-Commerce

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Workplace risk behaviors have been classified and thoroughly investigated, which reveals that they have the potential to pose major hazards to the health of employees as well as the general well-being of the business. Big data has further worsened the penalties and costs associated with damaging and unproductive employee behaviors, such as data leaks and the unlawful selling of user information. Examples of these types of acts include data leaks and the sale of user information. Because of this, it has become one of the most difficult obstacles that companies all over the globe must overcome. In response, the practices of human resource management (HRM) have increasingly centered their attention on minimizing unproductive behaviors via the deployment of high-performance work systems (HPWS) . It has been shown that emotional and cognitive burnout at work is connected with the incidence of both high-risk work behaviors and actions that are unproductive. As a result, it is essential for companies operating in the present period to investigate methods that might lessen the stress caused by tasks and improve the health of their staff. According to research, a robust feeling of firm commitment may favorably affect employee behavior, perhaps moderating unwanted behaviors while strengthening those that are desired. The purpose of the research will be to conduct an in-depth investigation into the theoretical underpinnings of unproductive behaviors. It will include the HPWS framework with the goal of identifying new areas of significance and making a contribution to efficient human resource management techniques.

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 Keywords

Human Resource Management (HRM), High-performance Work Systems (HPWS), Big data, unproductive behaviors, deployment, Human Resource Management Techniques

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The Philippines is known for its rich farmlands and vast natural resources, there is no question as to why the country is most likely known primarily as an agricultural country. The purpose of the paper is to determine the effects of non-price determinants which are the land input, the cost of production of crops, the farmers' wages, and COVID-19 on the production of major crops in the Philippines which are rice and corn. Using the Ordinary Least Squares to summarize and analyze the secondary data gathered from the Philippine Statistics Authority from 2010 - 2021, this proved that for Rice, The variables Land input and Cost of Production have a significant positive relationship while the production level while Farmer's wages have a significant negative impact. COVID-19 on the other hand is insignificant since Rice is an essential to every Filipino household even during the time of the Pandemic. For Corn, The variables Land input and Cost of Production also have a significant positive relationship while the production level while COVID-19 have a significant negative impact.

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 Keywords

crop productivity, land input, cost of production, farmers' wages, COVID-19

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Vehicle surroundings are dynamic and movable, which poses special problems for Vehicular Ad Hoc Networks (VANETs). For the provision of different services, traffic control, and road safety, effective vehicle-to-vehicle communication is essential. The Vulture Optimization Algorithm based Hierarchical Routing Strategy (VOA-HRS), a revolutionary approach created especially to handle the complexities of routing in VANETs, is introduced in this study. To improve the efficiency and dependability of data transfer in automotive networks, VOA-HRS establishes a hierarchical routing system based on the concepts of the Vulture Optimization Algorithm. Because of the hierarchical architecture, communication within clusters may be effectively organized and managed by designating cluster heads according to predetermined criteria. The architecture, design, and implementation of VOA-HRS are covered in this research work, along with performance assessments utilizing important metrics such routing overhead, packet delivery ratio, and end-to-end delay. The simulation findings show encouraging gains in network performance and routing efficiency, proving the practicality and efficacy of VOA-HRS in resolving routing issues in VANETs.

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 Keywords

Vehicular Ad hoc Network, Routing, Vulture Optimization Algorithm, Throughput, Delay, Overhead, Simulation.

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 Abstract

Solar and wind energy technologies have witnessed remarkable advancements in recent years, transforming the global energy landscape. This review paper provides a comprehensive analysis of the latest developments in solar and wind energy, encompassing technological innovations, environmental impacts, economic considerations, and policy frameworks. By examining a wide array of research studies and industry reports, this paper aims to shed light on the current state of these renewable energy sources and their potential to address the challenges of climate change and energy sustainability.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Solar, Thermal, Photovoltaic, CSP, Wind.

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Creative Commons Attribution 4.0 and The Open Definition